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A critical review of the role of milk and other dairy products in the development of obesity in children and adolescents

Published online by Cambridge University Press:  27 November 2018

Anestis Dougkas
Affiliation:
Institut Paul Bocuse Research Centre, Institut Paul Bocuse, Château du Vivier, BP 25, 69131 Ecully Cedex, France
Suzanne Barr
Affiliation:
Department of Medicine, Imperial College London, London, UK
Sheela Reddy
Affiliation:
Department of Health, London, UK
Carolyn D. Summerbell
Affiliation:
Department of Sport and Exercise Sciences, Durham University, Durham, UK
Corresponding
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Abstract

Existing reviews suggest that milk and other dairy products do not play a role in the development of obesity in childhood, but they do make an important contribution to children’s nutrient intake. It is thus curious that public health advice on the consumption of dairy products for children is often perceived as unclear. The present review aimed to provide an overview of the totality of the evidence on the association between milk and other dairy products, and obesity and indicators of adiposity, in children. Our search identified forty-three cross-sectional studies, thirty-one longitudinal cohort studies and twenty randomised controlled trials. We found that milk and other dairy products are consistently found to be not associated, or inversely associated, with obesity and indicators of adiposity in children. Adjustment for energy intake tended to change inverse associations to neutral. Also, we found little evidence to suggest that the relationship varied by type of milk or dairy product, or age of the children, although there was a dearth of evidence for young children. Only nine of the ninety-four studies found a positive association between milk and other dairy products and body fatness. There may be some plausible mechanisms underlying the effect of milk and other dairy products on adiposity that influence energy and fat balance, possibly through fat absorption, appetite or metabolic activity of gut microbiota. In conclusion, there is little evidence to support a concern to limit the consumption of milk and other dairy products for children on the grounds that they may promote obesity.

Type
Review Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Authors 2018

Introduction

The burden of childhood obesity

Childhood overweight and obesity represent significant short- and long-term challenges for individuals and healthcare, both in Europe and worldwide( 1 ). Globally, 41 million children under the age of 5 years were overweight or obese in 2014; 39 % of adults aged 18 years and over were overweight in 2014, and 13 % were obese( 2 ). Importantly, the prevalence of obesity is even higher among those children from poor socio-economic backgrounds in most middle- and high-income countries( Reference Monteiro, Conde and Lu 3 ).

The burgeoning levels of childhood overweight and obesity are a public health concern because childhood obesity is linked to a range of physical and psychological illnesses during childhood( Reference Ebbeling, Pawlak and Ludwig 4 ), and tracks through to adulthood( Reference Whitaker, Wright and Pepe 5 ).

Rates of obesity and overweight are increasing globally( Reference Seidell and Halberstadt 6 ). Interventions and public health messages that promote a healthy weight tend to give simple messages to the public( 7 , Reference Stanford, Tauqeer and Kyle 8 ). These include reducing the consumption of sugar-sweetened beverages and energy-dense snacks, promoting the consumption of fruits and vegetables( 7 ), whilst promoting water as a beverage of choice. However, advice on milk and other dairy products is usually unclear and limited, and tends to be perceived as confusing by the public( Reference Buttriss 9 ). Dairy foods play an important role in the diets of children and adolescents but are often under scrutiny because of their energy and fat content( 10 , 11 ). For example the UK’s Nutrient Profile Modelling suggests some cheeses and yoghurts are ‘unhealthy’ because there is a focus on fat and saturated fat content with little consideration for micronutrients( 12 ).

Classification of obesity in children

BMI, calculated as weight in kg divided by height in metres squared (kg/m2), has been shown to correlate strongly with adiposity (excess body fat) in adults and children, and in turn with health( Reference Garrow 13 ). We categorise a child’s level of fatness by comparing (plotting) their BMI against age- and sex-specific thresholds (based on centiles) derived from a reference population. In the context of the present review, most studies used BMI as their measure of body fatness, which included BMI, BMI standard deviation score and BMI z score. The remaining studies used the outcome measures of percentage body fat, waist circumference and body weight status. We have used ‘obesity and indicators of adiposity’ as a collective term to describe these varying outcome measures.

Definition of milk and other dairy products

Under European Union regulations, ‘milk’ refers exclusively to the mammary secretion of animals obtained from milking( 14 ). The terms milk, whey, cream, butter, buttermilk, cheese and yoghurt are protected and reserved exclusively for dairy products. In the present review, the dairy food group contains milk, cheese and yoghurt, and is described as a group of foods containing Ca, which are to be consumed as a source of Ca( 15 ). Butter is not included in the dairy food group as it contains no Ca and is considered to be a fat, and is therefore excluded from the present review. Plant-based milk-like products do not have the same nutrient composition as milk or other dairy products and therefore are not included in this review( 16 ). Throughout this publication the terms ‘milk’ and ‘other dairy products’ refer to liquid drinking milk and foods containing Ca which are made from milk such as cheese, yoghurt and fromage frais, ice-cream and dairy desserts (further examples are listed in online Supplementary Table S1)( Reference Finglas, Roe and Pinchen 17 ).

Contribution of milk and other dairy products to dietary intake

The nutritional value and quality of milk and other dairy products vary across the globe and depend on a number of factors including animal breed, genetic variation within breeds, health and diet of the animal, geographical location of grazing and animal husbandry( 18 ). Generally, dairy products are nutrient rich and a source of protein, Ca, riboflavin, iodine, P and vitamin B12 ( Reference Finglas, Roe and Pinchen 17 ); however, their nutrient content varies by type of dairy product (for example, cheese and yoghurt have a different nutrient composition as outlined in online Supplementary Table S2)( Reference Finglas, Roe and Pinchen 17 ).

As defined by European Union regulations, milk is high in protein (defined as having at least 20 % of the energy value of the food provided by protein; 3·6 g per 100 ml), Ca (124 mg per 100 ml), vitamin B12 (0·9 µg per 100 ml), riboflavin (0·24 mg per 100 ml) and iodine (31 µg per 100 ml) and is a source of K (160 mg per 100 ml), P (97 mg per 100 ml) and vitamin B5 (0·7 mg per 100 ml)( Reference Finglas, Roe and Pinchen 17 ). Whole milk is 3·7 % fat, while skimmed milks are low in fat (0·3 % to 1·8 %)( Reference Finglas, Roe and Pinchen 17 ). Plain milk is low in Na and contains no added sugars( Reference Finglas, Roe and Pinchen 17 ). Cheese is high in protein and full-fat varieties of hard cheeses (but not reduced fat) are a source of vitamin A (387·5 µg per 100 g) and Zn (4·1 mg per 100 g)( Reference Finglas, Roe and Pinchen 17 ) but are considered high in fat. Auestad et al. ( Reference Auestad, Hurley and Fulgoni 19 ) suggest that dairy product intakes make significant contributions to both underconsumed nutrients and overconsumed nutrients( Reference Auestad, Hurley and Fulgoni 19 ). In developed countries dairy products contribute to over 45 % of children’s Ca intakes, as well as 34 % of their iodine intakes, 20 % of their K intake, 20–40 % of their vitamin B12 and 20 % of their vitamin A intake. In terms of overconsumed nutrients, dairy products contribute to just over 10 % of their energy intakes, 10 % of their Na intake and 20–24 % of their saturated fat intake( Reference Auestad, Hurley and Fulgoni 19 ).

Consumption trends in milk and other dairy products

Milk consumption varies around the world, from 10 to 212·2 kg per capita per year( 20 ). Industrialised countries consume the most milk at 212·2 kg/year and East Asian countries consume the least at 10 kg/year( 20 ). Data from the Global Nutrition and Policy Consortium show that younger children consume more milk than older children (338·1 and 147·2 g/d, respectively)( 21 ).

Existing review-level evidence from observational and intervention studies of the impact of milk and other dairy products on childhood and adolescent obesity and indicators of adiposity

The association between dairy products and body composition has been widely reviewed with data from both observational and intervention studies, of different study designs, in children and in adolescents. Examples of reviews and meta-analyses include Louie et al. ( Reference Louie, Flood and Hector 22 ), Dror & Allen( Reference Dror and Allen 23 ), Dror( Reference Dror 24 ), Lu et al. ( Reference Lu, Xun and Wan 25 ), Wang et al. ( Reference Wang, Wu and Zhang 26 ) and Kouvelioti et al. ( Reference Kouvelioti, Josse and Klentrou 27 ). Examining the evidence by study design, a recent meta-analysis of mainly (but not exclusively) seven cross-sectional studies by Wang et al. ( Reference Wang, Wu and Zhang 26 ) found that intake of total dairy products was associated with a decreased risk of obesity in children (pooled OR 0·54; 95 % CI 0·38, 0·77). However, this pooled meta-analysis included mainly cross-sectional studies, which are susceptible to reverse causality and conducted in Asian populations with high heterogeneity between the studies. A recent meta-analysis of ten prospective cohort studies found that children in the highest dairy product intake group at baseline were 38 % less likely to be overweight or obese over time relative to those who were in the lowest group( Reference Lu, Xun and Wan 25 ). An increase of one serving/d of dairy products was linked with a 0·65 % lower body fat and a 13 % lower risk of overweight/obesity. However, another recent systematic review of randomised intervention trials( Reference Kouvelioti, Josse and Klentrou 27 ) showed that eleven out of the fourteen studies demonstrated a neutral effect of milk consumption on body composition in children and adolescents, highlighting the difference in the results based on the type of study.

The most comprehensive review to date is a meta-analysis of combined results from twenty-two studies selected by the authors, which included cross-sectional, prospective cohort and intervention studies( Reference Dror 24 ). This review found no association between dairy product consumption and adiposity in preschoolers and school-aged children, although there was an inverse association between dairy product intake and adiposity in adolescents (average effect size −0·26 (95 % CI −0·38, −0·14); P<0·0001). However, this meta-analysis had a few deficiencies and there was strong evidence of high study heterogeneity as seen in the I 2 statistics (I 2=0·72). The difficulty in comparing or combining results from different studies is due to the high heterogeneity in terms of exposures (type of dairy products or serving portion) and outcomes (BMI, weight change or adiposity).

The existing evidence, as summarised in the above reviews and meta-analyses, shows consistently that milk or dairy product consumption in children either has no relationship with weight status, or has an inverse relationship with excess weight gain (also reported in various ways). However, there were only a limited number of studies included in the meta-analyses due to the diversity and high heterogeneity between studies, which are often susceptible to risk of bias and inconsistency and also publication bias( Reference Møller, Ioannidis and Darmon 28 ). Therefore, we argue that a critical and up-to-date evaluation of the available scientific evidence on this topic is lacking. First, the existing reviews are not comprehensive in their inclusion of available evidence from different study designs. Examination of individual studies contributing to narrative summaries will enable us to have more complete reflection and wide overview of studies dealing with dairy products and obesity and indicators of adiposity. Second, it remains unclear whether the associations reported relate equally to all dairy products, milk and other dairy products, as none of the systematic reviews or meta-analyses reported differences between different types of milk and/or other dairy products, and obesity and indicators of adiposity, in children and adolescents. Third, it is unclear whether the associations reported changed during childhood.

Scope of the review

The present review aims to provide an overview of the totality of the available evidence taken from cross-sectional studies, prospective longitudinal studies and intervention studies that have reported on the associations between intakes of milk and other dairy products, and obesity and indicators of adiposity, in children. This critical review also aims to explore whether any associations identified related equally to all milk and other dairy products. It also provides context for these findings, specifically in terms of the mechanisms by which milk and other dairy products might make an impact on obesity and indicators of adiposity in children and adolescents.

Research methodology

The literature for English-language articles published from January 1990 up to June 2017 was reviewed by searching the following three databases: ISI Web of Knowledge/Web of Science (Thomson Reuters, UK), PubMed (US National Library of Medicine National Institutes of Health) and Google Scholar (Google, UK). Search terms included ‘dairy’, ‘milk’, ‘cheese’, ‘yoghurt’, ‘calcium’, ‘obesity’, ‘adiposity’, ‘overweight’, ‘body fatness’, ‘body weight’, ‘children’, ‘adolescent’, ‘girls’, ‘boys’ and combinations of these. In addition, reference lists of identified published articles as well as of previous narrative, systematic reviews and meta-analyses were searched for citations of relevant publications. A total of 981 hits were retrieved. All observational and intervention studies conducted in adults, in non-healthy children and those which assessed body weight in infants (<1 year) were not included in this review. Studies that examined exclusively Ca supplements in relation to childhood or adolescent obesity were also excluded. However, studies that compared directly the effect of dairy products or dietary Ca with Ca supplements on adiposity were included, as they provide a better understanding of the putative functional properties of bioactive constituents in milk and other dairy products. Studies that examined exclusively butter were not included, as according to the United States Department of Agriculture, any milk products with little to no Ca are not included in the dairy food group( 15 ). Studies that had bone density as the primary outcome but included body weight or measures of body composition were included in the present review. Using these selection criteria, a total number of forty-three cross-sectional studies, thirty-one longitudinal cohort studies and twenty intervention (randomised controlled trial) studies were identified that examined the association/impact of dairy milk and other dairy products on childhood and adolescent obesity and indicators of adiposity. Fig. 1 summarises the literature search strategy.

Fig. 1 Flow diagram for the selection of eligible studies.

Using the same three databases and predefined publication dates, the search terms ‘dairy’, ‘milk’, ‘calcium’, ‘mechanisms’, appetite’, ‘fat oxidation’, ‘fat metabolism’, ‘gut microbiota’, ‘energy intake’, ‘satiety’, ‘children’, ‘adolescent’, ‘girls’, ‘boys’ and combinations of these were used for the studies mentioned in the mechanistic section of the present review. Mechanistic studies in cells or animals were limited to searches of the reference lists of identified published studies and relevant reviews for citation of relevant publications.

We have summarised the evidence base, which we identified by study design; cross-sectional studies, longitudinal studies, and intervention studies and provided a narrative summary for the studies we identified by study design. As this is not a systematic review, we did not conduct a meta-analysis by study design but summarised the findings for each study in Tables 1 and 2 and online Supplementary Table S3. Symbols ↑ and ↓ indicate a statistically significant positive and negative effect/relationship, respectively, between dairy milk and other dairy products and obesity and indicators of adiposity, with ↔ indicating no statistically significant effect/relationship or a neutral effect. Such a simple tabulated summary allowed us to draw overall conclusions for this narrative review, although we did not undertake a detailed assessment of quality of individual studies. We have learnt from other reviews we have published that this type of simple tabulated summary can be helpful for the broad range of readers who may be interested in the work. However, it is important to note that it is not appropriate to ‘add up the arrows’ within each study design to assess the balance of evidence since this would ignore sample size, statistical power of each study, and how heavily each study should be weighted in considering the overall evidence base. For example, ten ↑ studies plus one ↓ study plus five ↔ studies cannot be interpreted as a summary finding of a statistically significant positive effect/relationship between dairy milk and other milk products and obesity. We appreciate that if we had conducted a systematic review and assessed each included study for quality (based on design and implementation), and combined the results in a meta-analysis, then each individual study’s findings would contribute to the overall (summary) effect size, and this would be an appropriate way to assess the balance of evidence.

Table 1 Prospective studies (n 31) that measured milk and other dairy product consumption at baseline and change in body composition over time in children

%BF, percentage body fat; BF, body fat; ↓, negative association between exposure (dairy products) and a measure of body fatness; ↔, null association between exposure (dairy products) and a measure of body fatness; HC, hypercholesterolaemic; non-HC, normocholesterolaemic; ↑, positive association between exposure (dairy products) and a measure of body fatness; SDS, standard deviation score; T1, tertile 1; T3, tertile 3.

Table 2 Randomised intervention studies (n 20) of milk and other dairy product consumption on weight gain or body composition in children

%BF, percentage body fat; ↔, null association between exposure (dairy products) and a measure of body fatness; LBM, lean body mass; BF, body fat; RT, resistance training; ↑, positive association between exposure (dairy products) and a measure of body fatness; SDS, standard deviation score; WC, waist circumference; ↓, negative association between exposure (dairy products) and a measure of body fatness; FMI, fat mass index; LMI, lean mass index.

Evidence from cross-sectional studies (n 43) of the associations between dairy product intake and body weight in children and adolescents

As a starting point to our research, and also for completeness, we reviewed the evidence reported from cross-sectional studies (online Supplementary Table S3). Forty-three cross-sectional studies were identified for this review. Studies were included from across the globe resulting in thirteen from Europe, fifteen from the USA, five from Middle Eastern countries, four from South American countries, two from Australia, two from South East Asia and two from Canada. The numbers of participants in the cross-sectional studies ranged from 114 to 7557 and included girls and boys at a specific point in time. The age of subjects ranged from 2 to 19 years; however, most studies covered school-age children and adolescents. Results varied greatly in girls and boys and by age group and by type of dairy product.

Two studies were identified showing an association between dairy product intake and increased levels of obesity or indicators of adiposity (one in boys only), whereas all others showed either a null association or inverse association by sex, age group or type of dairy product. In order to explore for reasons for the different results, we looked for themes which might offer an explanation, including type of measurements used, age, race, location, classification of milk and dairy product used, type of dairy product, difference in diets, methodological quality of the study including data analysis, and whether the authors had adjusted for energy and other confounders. We could not identify any consistent reasons for the different results between studies, but detail a summary description of the two cross-sectional studies which found that dairy food intake was associated with increased obesity or indicators of adiposity below, for completeness.

Nezami et al. ( Reference Nezami, Segovia-Siapco and Beeson 29 ) assessed whether dairy product consumption was associated with anthropometric indicators of health in 536 subjects (231 males and 305 females) with a mean age of 14·99 years in a culturally diverse population (37 % Caucasian, 15 % Hispanic, 13 % Asian/Pacific Islander, 10 % African/African American, and 25 % with mixed or other ethnicities). Total dairy product (milk, cheese and sweetened dairy products) consumption was positively and significantly associated with fat mass, fat-free mass and waist:height ratio in males but not in females. Cheese intake was significantly higher in boys compared with girls (2·1 (sd 1·3) servings and 1·7 (sd 1·1) servings, respectively). Normal-weight males consumed more milk than their overweight or obese counterparts but less dairy food in total. The authors adjusted their analysis for age, sex, ethnicity, education of mother, and energy intake, soda intake, physical activity, and milk substitutes intake.

Wiley( Reference Wiley 30 ) analysed National Health and Nutrition Examination Survey data from 1999 to 2004 and suggested that a dietary pattern characterised by greater milk consumption was associated with increased BMI among children aged 2–10 years, and dairy product intake among 2- to 4-year-old children. The sample included 1493 participants, of which 68 % were Caucasian, 15 % Hispanic and 15 % African/African American. The authors adjusted their analysis for age, birth weight and ethnicity.

We understand that the associations between the exposure (milk and other dairy product consumption) and outcome (body weight/composition) may reflect reverse causality, which means that the presence of adiposity in children may affect their dairy product consumption habits. Contrary to cross-sectional studies, longitudinal analysis of prospective cohort studies represents a more robust design that allows the study of determinants (in this case, milk and other dairy products) with changes over time in measures of adiposity.

Evidence from longitudinal studies (n 31) of the associations between dairy product intake and body weight in children and adolescents

A total of thirty-one studies were identified for review; the size of the cohorts ranged from forty-five to 12 829 and the duration of the follow-up from 8 months to 12 years covering all the periods of growth and human development from infancy to adolescence (Table 1). Of the thirty-one studies, seventeen showed no associations between dairy product, milk or Ca consumption and BMI or measures of adiposity. Rangan et al. ( Reference Rangan, Flood and Denyer 31 ) showed null associations between the high and the low quartiles of energy-adjusted dairy product consumption at 18 months and BMI or weight at 8 years (P=0·09) in 335 children from the longitudinal Childhood Asthma Prevention Study (CAPS). However, Garden et al. ( Reference Garden, Marks and Almqvist 32 ) using the same CAPS population after adjusting for potential confounders showed that dairy product consumption (compared with protein, meat and fruit consumption) as a percentage of total energy was inversely associated with BMI (P=0·04) and waist circumference (P=0·09) at 8 years of age, highlighting that lack of adequate control for potential confounding could have led to conflicting results observed in children. Despite the rigorous assessment of diet at 18 months, intake might not be reflective of the habitual food diet over the entire follow-up period. Phillips et al. ( Reference Phillips, Bandini and Cyr 33 ) conducted the first longitudinal analysis in which they considered the pattern of change in dairy product consumption and body weight or fatness during adolescence using annual follow-up assessments of body composition and dietary intake over a 10-year period. After adjusting for covariates, results indicated a null association between dairy product consumption and BMI z score (β=0·017; P=0·65) or percentage body fat (β=0·18; P=0·51) in 178 initially normal-weight preadolescent girls.

Differences by type of milk and other dairy products

The majority of prospective studies have examined only milk; thus the impact of ‘type’ of dairy products on the associations between dairy product consumption and body composition remains largely unknown.

With respect to type of milk and the effects of added sugar on health, Fayet-Moore( Reference Fayet-Moore 34 ) recently reviewed the literature related to the role of flavoured or sweetened milk in the diet and weight status of children. Although flavoured milk has similar fat and protein content to white milk, it provides approximately 60 kcal (250 kJ) more per serving portion than plain milk due to added sugars( Reference Noel, Ness and Northstone 35 ). Two prospective studies have examined the relationship between milk and measures of adiposity, by differentiating between white milk and flavoured milk( Reference Noel, Ness and Northstone 35 , Reference Vanselow, Pereira and Neumark-Sztainer 36 ). A beneficial association of white milk with body weight was reported in the Project EAT (Eating Among Teens) by Vanselow et al. ( Reference Vanselow, Pereira and Neumark-Sztainer 36 ). The authors showed that plain milk and not flavoured milk consumption assessed by FFQ was inversely related to weight gain (self-assessed) over the 5-year follow-up (P=0·05 v. P=0·31) without displaying a dose–response relationship in 2294 adolescents and independent of their overweight status. A more recent study employed more accurate measures of dietary intake and body composition by using dietary weighed records and dual-energy X-ray absorptiometry in 2270 children at the age of 10 years( Reference Noel, Ness and Northstone 35 ). Results showed that the decrease in percentage body fat was less in overweight/obese children who consumed flavoured milk (17 %) than non-consumers of flavoured milk (83 %) (–0·16 (95 % CI –3·8, 3·5) v. –3·4 (95 % CI –6·5, –0·42) %; P=0·02). However, there was no association between flavoured milk consumption at 10 years and change in percentage body fat from 11 to 13 years in normal-weight children. It is worth noting that this was the only study that has examined whether the subjects’ BMI at baseline could influence the association between dairy product consumption and body weight or abdominal obesity during childhood or adolescence.

Overall, although the body of literature on flavoured milk is limited, according to the review by Fayet-Moore( Reference Fayet-Moore 34 ) consumption of flavoured milk is not related to weight gain or increased body fat among normal-weight children. However, there are conflicting and inconsistent results among overweight and obese children; thus randomised intervention studies are warranted to examine the effect of flavoured milk consumption on BMI and adiposity. Given the popularity of flavoured milk as the preferred dairy product amongst children, controlled studies with better description of exposure and outcome variables are needed.

Low-fat v. full-fat dairy products

Given the scientific interest on the issue of dairy fat and its contribution to the development of obesity due its high energy content( Reference Kratz, Baars and Guyenet 37 ), we explored the data to assess whether there was any evidence of differential associations of low- and full-fat milk with weight status. Five of the six longitudinal studies examined the relationship between low- or full-fat milk and other dairy products on obesity and indicators of adiposity as a primary outcome of their analysis( Reference Noel, Ness and Northstone 38 Reference Dubois, Diasparra and Bogl 43 ). Although evidence is limited, data suggest that replacing whole milk with reduced-fat milk does not lead to an inverse or positive association between milk and weight gain or prevention of overweight in early childhood. For instance, in 10- to 13-year-olds, Noel et al. ( Reference Noel, Ness and Northstone 38 ) showed that there was no significant difference between low-fat or skimmed milk v. whole milk at 10 years and change in percentage body fat (P>0·09) at 11 and 13 years. In preschool children, Huh et al. ( Reference Huh, Rifas-Shiman and Rich-Edwards 39 ) reported inverse association between whole milk, but not low-fat milk, consumption at age 2 years and BMI z score (β=–0·09 (95 % CI –0·16, –0·01); P=0·02) at age 3 years in 852 children, yet there was no association between either whole or low-fat milk with incidence of overweight at age 3 years. Similarly, Scharf et al. ( Reference Scharf, Demmer and DeBoer 40 ) showed in a longitudinal analysis examining 10 700 children that milk consumption at age 2 years, whether whole or low-fat, was not related to changes in BMI z score at the age of 4 years (P=0·6). However, children who were normal weight at baseline and consistently drank 1 % fat or skimmed milk at both 2 and 4 years of age had an increased risk of becoming overweight or obese during this time interval (OR 1·57 (95 % CI 1·03, 2·42); P<0·05). This contradicts the current American Academy of Pediatrics recommendation in favour of low-fat milk consumption at children ≥2 years( Reference Gidding, Dennison and Birch 44 ), yet the results could be related to residual confounders that have not been assessed in their analysis such as other food items, total energy intake and physical activity. Berkey et al. ( Reference Berkey, Rockett and Willett 41 ) evaluated the association between annual milk consumption and BMI changes and found that in 12 829 children aged 9–14 years, those drinking ≥3 servings of milk per d had a significantly higher increase in BMI over 4 years, compared with those drinking >1 and ≤2 servings per d. Particularly, high consumption of 1 % milk for boys and skimmed milk for girls had more consistent positive associations with annual BMI gain than did whole or 2 % milk (P<0·05). However, adjustment for multiple variables revealed that total energy intake mediated those associations, contributing to the heavier weight status.

Can dietary calcium reduce body weight?

As dairy products represent the major source of dietary Ca, a few studies reported on the association between dietary Ca and adiposity, without a clear distinction between dairy and non-dairy Ca sources. Nevertheless, as far as Ca is concerned, three studies suggested an inverse relationship between dietary Ca consumption and prevalence of obesity and adiposity in children( Reference Carruth and Skinner 45 Reference Dixon, Pellizzon and Jawad 47 ). Skinner et al. ( Reference Skinner, Bounds and Carruth 46 ) suggested that increasing the Ca intake with 240 ml skimmed milk or yoghurt daily would reduce children’s body fat by 0·4 %, which in the longer term could reduce the risk of obesity in later childhood, adolescence or adulthood. However, several studies, conducted mostly in girls, showed that dietary Ca over the years was not associated with BMI z scores, percentage body fat or trunk fat during adolescence( Reference Phillips, Bandini and Cyr 33 , Reference Fisher, Mitchell and Smiciklas-Wright 48 Reference Rockell, Williams and Taylor 50 ). Very few studies have evaluated the relationship of dietary Ca and adiposity according to sex or ethnicity( Reference Carruth and Skinner 45 , Reference Dixon, Pellizzon and Jawad 47 , Reference Striegel-Moore, Thompson and Affenito 51 ) and differences in terms of inherent sex characteristics, growth, pubertal status and sexual maturation( Reference Wang 52 ) add complexity to the impact of sex on Ca–adiposity associations.

Differences by age of child

Hasnain et al. ( Reference Hasnain, Singer and Bradlee 53 ) conducted the longest study using data from the Framingham Children’s Study, in which 103 boys and girls aged 3–5 years old were enrolled and followed annually for 12 years. Prospective analysis between milk and percentage body fat (dual-energy X-ray absorptiometry) indicated that children in the highest tertile of milk consumption (411 ml/d) had 7·3 % lower percentage body fat compared with the lowest (115 ml/d; 30 v. 22·6 %; P=0·0095) at ages 15–17 years. However, DeBoer et al. ( Reference DeBoer, Agard and Scharf 54 ) recently found that in 4-year-old children, drinking ≥4 servings of milk daily had a higher risk of becoming overweight compared with those with an intake of <1 serving daily at age 4 years (OR 1·159 (95 % CI 1·02, 1·32); P=0·021), yet the positive association was no longer present at 5 years (OR 1·094 (95 % CI 0·92, 1·31); P=0·318). As the authors suggested, this minor adverse association of excess milk consumption with weight status could be age-dependent, with more pronounced association of milk consumption with height over time contrary to its association with weight gain.

Discussion of longitudinal studies

As summarised in Table 1, there are considerable differences in the exposure and outcome variables and population characteristics, with seventeen studies examining specifically the association between milk consumption and indicators of body weight or adiposity. Data from most prospective studies included in the present review showed that there is a null association between increased milk (n 9) or dairy product (n 5) consumption and measures of adiposity or body weight. However, there was high variation on the definition and inclusion of dairy foods and type of milks in the studies. For instance, considering the type of milk or fat content, a few studies followed the United States Department of Agriculture definition( 15 ) which includes white milk (cow, sheep or goat), while other studies also included sweetened and flavoured, evaporated, condensed, formula, reduced-fat, full-fat or non-fat milk. Similarly, there were notable differences among the seven studies( Reference Rangan, Flood and Denyer 31 Reference Phillips, Bandini and Cyr 33 , Reference Huh, Rifas-Shiman and Rich-Edwards 39 , Reference Bigornia, LaValley and Moore 42 , Reference Dixon, Pellizzon and Jawad 47 , Reference Moore, Singer and Qureshi 55 ) that investigated total dairy products, with most including any type of yoghurt or cultured milk drinks and natural or processed cheese and some others including dairy desserts such as ice-cream, milkshakes, custard creams and puddings in addition to milk, yoghurt and cheese. However, there were no differences in adiposity outcomes between the studies that included dairy desserts and those that did not. Furthermore, four of them( Reference Garden, Marks and Almqvist 32 , Reference Phillips, Bandini and Cyr 33 , Reference Huh, Rifas-Shiman and Rich-Edwards 39 , Reference Bigornia, LaValley and Moore 42 ) reported the portion or percentage energy from milk or other type of dairy products. Based on their reports, milk contributed approximately 50–70 % of the total dairy product consumption followed by yoghurt and cheese, particularly in the highest quartiles or groups of dairy product consumption. Although milk, cheese and yoghurt share several functional properties, differences in their absorption kinetics, macro- and micronutrient content and level of bioactive components could lead to different metabolic effects( Reference Charney 56 ). Thus, disaggregating the effects of individual types of dairy product consumption from general dairy products in large-scale epidemiological studies seems prudent.

Few longitudinal studies directly compared body weight or adiposity outcomes related to reduced-fat v. full-fat milk or dairy products and results suggest no significant differences between reduced-fat compared with full-fat milk or total dairy products and body weight or adiposity measures( Reference Phillips, Bandini and Cyr 33 , Reference Noel, Ness and Northstone 38 Reference Dubois, Diasparra and Bogl 43 ). Most of these studies were conducted in the US population and results could have been influenced by reporting bias or residual confounding due to the cultural perception related to fat consumption or other unmeasured associated dietary and health behaviours( Reference Liu, Choi and Ford 57 , Reference Margolis, Wei and de Boer 58 ). Additionally, the range or form that dairy food is consumed might differ, given that in the USA, dairy fat is usually consumed as ice-cream or dairy desserts, whilst in Europe plain cheeses or unsweetened yoghurt are the major source of full-fat dairy products( Reference Kratz, Baars and Guyenet 37 ). However, given the limited data, it makes it difficult to draw firm conclusions about whether reduced-fat or full-fat milk and other dairy product consumption may be more beneficial.

Most of the observational studies assessed milk and other dairy product consumption by FFQ, which, compared with food records( Reference Sempos 59 ), are not the most accurate dietary assessment tool for certain foods, particularly foods that are perceived as unhealthy such as whole milk and cream( Reference Salvini, Hunter and Sampson 60 ). Another acknowledged source of bias in any nutrition research is the over- and under-reporting of dietary intakes, which could lead to gross misclassification of full-fat dairy product intake, particularly among overweight adolescents( Reference Huang, Roberts and Howarth 61 ). The accuracy of energy reporting may decline as children become older( Reference Bandini, Must and Cyr 62 ); thus unbiased estimates of intake are more likely to occur when the dietary reporting is conducted by parents in early childhood (before the age of 6 years)( Reference Moore, Singer and Qureshi 55 ). Although there is some evidence that milk consumption in childhood tracks over time( Reference Moore, Singer and Qureshi 55 , Reference Singer, Moore and Garrahie 63 , Reference Boulton, Magarey and Cockington 64 ), a limitation within the longitudinal studies reviewed in the present study is the lack of regular assessment of dairy product and dietary intake throughout childhood and adolescence. The patterns with regard to the type of milk and other dairy product consumption might not be stable over time, especially with the introduction and higher availability of reduced-fat dairy products over the last 25 years.

In addition to diversity in describing the type or fat content of milk and other dairy products, there was variation on the definition and reporting of dairy food serving size, with some studies using the term ‘serves per day’, ‘portions per day’, ‘grams per day’ or ‘times per day’. Similarly, considerable variation was found in the reporting of outcome variables related to weight status and adiposity measures, making it difficult to compare research findings. Future studies in this research area should include a set of well-defined exposure and outcome variables, measured ideally by health professionals to minimise error and reported in a consistent format. For instance, milk, cheese and yoghurt and the type of those dairy foods and fat content reported in g per d as an absolute serving size should be defined. Change in weight in children and adolescents should be reported as BMI z score, body weight, percentage body fat, percentage lean body mass and waist circumference.

Adjustment for important confounding factors such as energy intake, diet quality, physical activity levels, baseline BMI, sex, race and socio-economic status were inconsistent and varied among the studies, making it difficult to interpret and compare the results across study cohorts. For instance, twenty-six of the thirty-one studies reviewed included data on both boys and girls, and only sixteen adjusted for sex. Similarly, five( Reference Noel, Ness and Northstone 35 , Reference Noel, Ness and Northstone 38 , Reference Berkey, Rockett and Willett 41 , Reference Bigornia, LaValley and Moore 42 , Reference Fisher, Mitchell and Smiciklas-Wright 48 ) of the fifteen studies, which analysed data in school-age children and adolescents, adjusted for pubertal growth development. This is important given that children and adolescents’ body size and composition are influenced by the sex and pubertal growth rate, for example, change in height( Reference Petit 65 ), with notable differences in growth rate in the period from early childhood to adolescence. Thus, assumptions that the body composition measures would be independent of pubertal growth stage are invalid and both observational and controlled randomised trials need to consider the influence of pubertal development on the effect of milk and other dairy product consumption on indicators of adiposity. Furthermore, adjustment for energy intake needs to be carefully considered given the high degree of association between increased energy intake and adiposity( Reference Willett, Howe and Kushi 66 ). As Berkey et al. ( Reference Berkey, Rockett and Willett 41 ) highlighted, the positive association between milk and annual BMI gain was mediated by the total energy intake and not necessarily by the dairy products per se. Given that dairy products could influence body weight through mediating appetite, energy intake and therefore energy regulation as described in the mechanistic section below, analyses should be performed with and without energy intake in the adjustment models. Energy intake was reported in thirteen studies and five studies reported food groups or beverages or macronutrients as indicators of dietary intake in their adjustment models. Thus, inclusion and appropriate control of potential confounders is essential in analyses of all studies.

Sample size and duration varied significantly among the studies, with studies with a protective association between milk and other dairy products and obesity having a smaller sample size (nineteen studies n<1000, of which eight showed inverse association) relative to the studies reported an adverse association between increased milk and dairy product consumption and obesity (twelve studies n>1000, of which two showed an adverse association). One-third of the studies were funded by the dairy or private industry and five studies showed results favourable for industry compared with the four out of twenty-one public-funded studies, which demonstrated a favourable effect for dairy foods and obesity risk. It is also worth noting that twenty-six out of the thirty-one studies were performed in English-speaking nations (USA (n 16), Australia (n 4), UK (n 4) and Canada (n 2)); thus results might not be generalisable to all developed and developing countries.

Overall, the majority of prospective studies showed a null relationship between increased dairy product consumption and measures of adiposity or body weight in children and adolescents with high relative to low or no dairy product consumption. Although data are limited, they suggest that replacing whole milk with reduced-fat milk does not lead to an inverse or positive association between milk and weight gain or prevention of overweight in early childhood.

Evidence from intervention studies (n 20) of the effect of milk and other dairy product intake, with or without energy restriction, on body composition in children

Human intervention studies represent the most robust source of evidence to explore ‘cause-and-effect’ relationships between dairy product consumption and measures of adiposity. Twenty randomised intervention studies examined the effect of dairy products, milk or Ca-rich diets on body weight, body composition and other measures of adiposity during childhood and adolescence. Of the twenty studies identified, ten had bone health as the primary endpoint, but body composition was accurately measured using a state-of-the art method of dual-energy X-ray absorptiometry in all of these studies. However, some of those studies may lack the statistical power needed to detect significant differences in body weight and body composition and therefore should be interpreted with caution. The characteristics and main outcomes of the twenty studies that investigated the effect of milk and other dairy product consumption on indicators of body weight and adiposity are displayed in chronological order in Table 2.

What do studies that examined bone health reveal about body weight?

The majority of the studies that were primarily designed to examine bone health failed to detect differences among the treatments( Reference Chan, Hoffman and McMurry 67 Reference Vogel, Martin and McCabe 74 ). For example, Chan et al. ( Reference Chan, Hoffman and McMurry 67 ) conducted a 12-month randomised parallel study in pubertal girls and found no differences in body weight, lean body mass and fat mass between the high dairy Ca group (1200 mg Ca/d) and the control group (usual diet). Likewise, Cadogan et al. ( Reference Cadogan, Eastell and Jones 68 ) reported no effect of whole or reduced-fat milk consumption (568 ml/d) on body composition in 12-year-old girls for 18 months, and Merrilees et al. ( Reference Merrilees, Smart and Gilchrist 69 ) found no effect with the provision of 1000 mg Ca/d from dairy foods over 2 years on body weight, body lean mass and fat mass in post-pubertal teenage girls compared with those girls on their usual diet. Similar neutral effects were observed in an 18-month randomised parallel study in 9- to 10-year-old Chinese children, between the 80 g (equivalent to 250 ml whole milk) or 40 g milk powder supplementation group and the control group (usual diet)( Reference Lau, Lynn and Chan 72 ). A more recent 18-month randomised parallel study showed that 240 healthy-weight and overweight 8- to 16-year-old boys and girls when assigned to either receive three servings of dairy products/d (1500 mg Ca/d) or maintain their usual diet (1000 mg Ca/d) had no differences in body weight and fat gain( Reference Vogel, Martin and McCabe 74 ). In contrast, one study conducted in 757 Chinese girls with low habitual Ca diet and high prevalence of vitamin D deficiency showed weight gain and enhanced growth( Reference Du, Zhu and Trube 75 ). Du et al. ( Reference Du, Zhu and Trube 75 ) conducted the largest school-milk intervention trial, where the 10-year-old girls were randomly assigned to a group that received 330 ml of Ca-fortified milk, a group that received 330 ml of Ca-fortified milk plus vitamin D or a control group (habitual diet). There were no differences in body height and weight between the three groups over the 24-month study period, yet milk consumption substantially increased height, sitting height and body weight when expressed by mean percentage changes from baseline compared with the control.

Dairy products v. dietary/supplemental calcium

Although the effect of exclusively supplemental Ca on body composition is out of the scope of the present review, it is worth mentioning the only study that was designed to examine the effects of both dairy products and Ca supplements (calcium carbonate tablets) on bone mass accrual and body composition, therefore allowing a direct comparison and an important insight into the purported bioactive components of dairy products( Reference Cheng, Lyytikäinen and Kröger 71 ). In this 2-year randomised trial in 10- to 12-year-old girls, findings indicated no differences in body weight, height, lean tissue and fat mass between the cheese (1000 mg/d), the supplemental Ca (1000 mg/d), the placebo and the reference group (habitual high Ca intake >900 mg/d). The authors suggested that the lack of differences in body composition could have been masked by the diverse growth pattern in the girls. In concordance with the findings based on bone health studies, Lappe et al. ( Reference Lappe, Rafferty and Davies 76 ) showed that 9-year-old girls in the high Ca diet group (1656 (sd 191) mg Ca/d) compared with the control group (usual diet: 961 (sd 191) mg Ca/d) gained similar body weight (34 v. 33 %; P>0·05), lean mass (31 v. 31 %; P>0·05) and fat mass (38 v. 33 %; P>0·05) despite the nearly two-fold increase in dairy product consumption in the treatment group over 2 years. Based on a recent meta-analysis of combined results from nine studies including both observational and randomised clinical trials( Reference Li, Fan and Lu 77 ), Ca intake (derived from Ca-rich foods, dairy products and Ca supplements) was inversely related to body weight gain in children and adolescents (mean –0·26 (95 % CI –0·41,–0·11) kg; P<0·001).

Differences by type of milk and other dairy products

Most intervention trials, like observational studies, have examined only milk or total dairy products, with no studies having addressed the effect of ‘type’ of dairy products on childhood and adolescent obesity. Arnberg et al. ( Reference Arnberg, Mølgaard and Michaelsen 78 ) conducted a 3-month randomised parallel study (the Milk Components and Metabolic Syndrome (MoMS) study) in overweight subjects aged 12–15 years and showed that adolescents in the skimmed milk (1 litre/d), whey- and casein-based drink (35 g protein/l per d) supplementation groups increased BMI-for-age z scores compared with the control group (water intake) and pre-test control subgroup (3 months before intervention). However, given that puberty is a period of rapid growth, BMI is not the most representative and adequate index of body composition. Thus, Larnkjaer et al. ( Reference Larnkjaer, Arnberg and Michaelsen 79 ) in a follow-up analysis of this study demonstrated that milk-based drinks increased both body fat and lean mass. Although milk-based drinks improved body composition by increasing lean mass and maintaining fat mass relative to pre-test control, they had a less favourable effect on body composition than water intake. However, this could be attributable to the replacement of one energy drink for a non-energy beverage such as water. Replacement of one energy drink for another was examined in a 16-week study, which included an intervention with increasing flavoured milk, whilst almost eliminating sugar-sweetened beverage consumption by delivering milk beverages to the homes of overweight and obese 8- to 10-year-old children( Reference Albala, Ebbeling and Cifuentes 80 ). Although no differences in percentage of body fat were observed, milk consumption increased the accretion of lean body mass compared with the control (usual diet). Of all the randomised intervention studies reviewed, the recent study by Lappe et al.( Reference Lappe, McMahon and Laughlin 81 ) is the first study to report the effects of dairy food on body weight and fat in adolescents. They enrolled 13- to 14-year-old girls with BMI between the 50th to 98th percentiles and with habitual low Ca intake (<600 mg/d) and assigned them to either the intervention dairy food group (reduced-fat milk and yoghurt, ≥1200 mg Ca/d) or the control group (usual diet) for 12 months. There were no differences in weight and fat gain between the dairy food and control groups. In an explanatory analysis, they found that the effect of reduced-fat milk did not differ from yoghurt on change in percentage of body fat or weight, yet due to the nature of the intervention incorporating both dairy products, the effect of each type of dairy product remains to be explored.

Interventions aimed to manage childhood overweight and obesity, which included advice on different milk and other dairy products

Two studies included healthy eating counselling as part of their weight management intervention( Reference St-Onge, Goree and Gower 82 , Reference Kelishadi, Zemel and Hashemipour 83 ). Findings from a 16-week randomised parallel trial in 8- to 9-year-old overweight children, indicated that high milk (4 × 236 ml/d) compared with low milk (1×236 ml/d) consumption tended to decrease visceral adipose tissue (–0·18 (sem 0·08) v. –0·11 (sem 0·05) litres; P>0·05), despite the fact that there was no significant change in body weight or body composition( Reference St-Onge, Goree and Gower 82 ). As authors suggested, a larger sample size and a longer duration might have been needed to adequately examine and detect body composition changes between the milk groups. Furthermore, a randomised controlled trial in 120 obese and prepubescent children examined the effect of a dairy product-rich diet on long-term weight management( Reference Kelishadi, Zemel and Hashemipour 83 ). The children were randomly assigned to a dairy product-rich diet group (>800 mgCa/d, without any energy restriction), energy-restricted diet or control group and all of them had six healthy lifestyle family sessions once per month during the 6-month intervention. BMI standard deviation scores and waist circumference were decreased significantly in all groups after the 6 months. A follow-up was done twice yearly for 3 years and a significant increase was observed in BMI and waist circumference given the period of rapid growth. However, the increase was significantly lower in the dairy product group compared with the other two groups suggesting that in addition to lifestyle modifications, a dairy food-rich diet could be a potent strategy for weight management in young overweight children.

Similarly, a recent 38-month study in 7- to 10-year-old children( Reference Weber, Stark and Ittenbach 73 ) included a behavioural modification and nutritional education intervention to gradually increase dietary Ca intake to 1500 mg/d compared with the usual-care group (a single 45 min nutrition session). Results showed an increase in Ca intake in the intervention group and an inverse association between dietary Ca intake and gain in BMI and fat mass irrespective of treatment group.

Although several studies have examined the effect of milk or dairy product consumption on alterations in body weight and composition under energy restriction in adults( Reference Chen, Pan and Malik 84 , Reference Abargouei, Janghorbani and Salehi-Marzijarani 85 ), there is only one study which explored the relationship between dairy product consumption and BMI or fat mass in overweight and obese children during energy restriction( Reference Ghayour-Mobarhan, Sahebkar and Vakili 86 ). In this 12-week study, 120 overweight and obese children on an energy-restricted regimen (500 kcal/d (2090 kJ/d) below requirement) were assigned to two, three or four servings of dairy products/d. There were significant reductions in BMI, body weight and body fat, yet these reductions were due to the energy deficit and independent of the effect of increasing dairy product consumption.

Discussion of intervention studies

Examining Table 2, many aspects of the study methodology used in the included studies differed considerably, notably the length of the intervention (ranging from 3 months to 2 years) and the number of participants (for example, twenty-eight to 757), with half of the studies using dairy products and the other half milk consumption as part of their intervention. Data from the majority of the studies reviewed show that there is a neutral effect of dairy product (n 10) and milk (n 9) consumption on body weight and body composition in children and adolescents. More specifically, all the studies that examined the impact of a dairy food-rich diet relative to habitual diet on indicators of adiposity showed neutral effect and three studies( Reference Du, Zhu and Trube 75 , Reference Arnberg, Mølgaard and Michaelsen 78 , Reference Larnkjaer, Arnberg and Michaelsen 79 ) that used milk consumption as the intervention showed an increase in body weight. However, as pointed out in the description of those studies, the increase in body weight was accompanied by an increase in lean mass( Reference Arnberg, Mølgaard and Michaelsen 78 , Reference Larnkjaer, Arnberg and Michaelsen 79 ) or overall growth( Reference Du, Zhu and Trube 75 ). Specifically, in the study by Du et al. ( Reference Du, Zhu and Trube 75 ), as the largest school-milk intervention trial, the 757 included girls were healthy but on a persistently low-Ca diet and had a high prevalence of vitamin D deficiency( Reference Du, Greenfield and Fraser 87 ), thus representing a population that is not comparable with most of the intervention studies examined.

It is also noteworthy that there are no studies with body composition or any other indicators of obesity that have included intervention with both regular or reduced-fat milk or other type of dairy products, thereby not allowing a direct comparison. The processing of dairy foods often involves removal of whey protein from cheese, or addition of ingredients such as sugar in flavoured milk, yoghurt and ice-creams( Reference Fellows and Hampton 88 ). It can also lead to a number of alterations or biochemical changes in milk constituents, macronutrients and bioactive factors through such as insulin-like growth factor-1 (IGF-1)( Reference Kang, Kim and Imm 89 ). Thus, using total dairy product consumption might not be a suitable variable to elucidate the underlying impact of milk and other type of dairy products on adiposity indicators. Among the randomised controlled trials reviewed that included total dairy products, most included milk, cheese and yoghurt with a few studies including additionally dairy desserts( Reference Merrilees, Smart and Gilchrist 69 ) or any curd products( Reference Kelishadi, Zemel and Hashemipour 83 ). However, there were no reports in the percentage of milk or other dairy products contribution to the total dairy product consumption, which does not allow examination of any differential effects. Thus, disaggregation of dairy products, such as reduced-fat compared with full-fat milk, fermented products such as yoghurt and cheese and in general those that are encouraged by the dietary guidelines as opposed to those that should be consumed sporadically (i.e. ice-cream, milkshakes), is essential in the analysis of children and adolescent obesity.

Dairy food serving sizes were adequately defined in most of the intervention studies with feasible quantification of milk and total dairy product consumption with the observed outcomes. However, variation in the definition of serving size/portions and high, low or habitual milk or dairy product consumption among the studies is apparent, which makes it very difficult, if not inappropriate, to compare results across studies conducted in different location and populations. For instance, while in Finland a habitual diet contains approximately 900 mg Ca/d( Reference Cheng, Lyytikäinen and Kröger 71 ), in the USA population this is reported to contain between 600 and 700 mg Ca/d( Reference Vogel, Martin and McCabe 74 , Reference Lappe, McMahon and Laughlin 81 , Reference Weaver, Campbell and Teegarden 90 ). There were also variations in the way the outcome variable is reported within studies, with most studies reporting body weight, BMI, lean body mass, percentage body fat while very few reported BMI z score, waist circumference or waist:height ratio, which have been suggested as more appropriate for children and adolescents and important early markers for the development of chronic diseases( Reference Maffeis, Pietrobelli and Grezzani 91 , Reference Savva, Tornaritis and Savva 92 ).

The majority of the included studies were predominately conducted in girls (n 7) and in school-aged children and adolescents. There were no differences in the outcome variables related to sex comparing the studies that included only girls and those that included both sexes (n 12). However, sex was adjusted in seven out of twelve studies and rate of growth (pubertal or Tanner stage) adjusted in only four( Reference Lau, Lynn and Chan 72 , Reference Vogel, Martin and McCabe 74 , Reference Arnberg, Mølgaard and Michaelsen 78 , Reference Larnkjaer, Arnberg and Michaelsen 79 ) out of eighteen studies conducted in school-aged children and adolescents (age 8–18 years).

It is important to recognise that many of the intervention studies (thirteen out of twenty) included had a non-intervention control group, reported as usual or habitual diet often low in milk or dairy products, as the comparator to increased milk and total dairy food intervention group. Although this information allows separating the effects of treatment group on measures of adiposity, it does not provide insight on whether the effects observed are attributable to the increased milk or dairy product consumption per se, or to the concomitant manipulation of other food groups. Only one study utilised an isoenergetic replacement food such as fruit juice( Reference Volek, Gómez and Scheett 70 ) as a comparator to milk and another study increased the consumption of milk by decreasing the consumption of sugar-sweetened beverages( Reference Albala, Ebbeling and Cifuentes 80 ), therefore separating the effect of milk. Both of those studies showed a neutral effect of increased milk consumption compared with fruit juice or usual diet on lean and fat mass( Reference Volek, Gómez and Scheett 70 , Reference Albala, Ebbeling and Cifuentes 80 ). Future studies should try to include both positive (i.e. isoenergetic food or beverages) and negative comparators (i.e. water or no milk group) to increase the ability to draw robust conclusions with regard to the treatment effect.

Although intervention studies are highly diverse considering the duration, location or sample size (Table 2), there are no clear patterns or trends identified between the interventions of milk or other dairy products that influence body weight and indicators of adiposity positively, neutrally or negatively. Additionally, half of the intervention studies were funded by the dairy or food industry and results showed that the source of funding did not affect the results.

Taken together, data from the majority of the intervention studies reviewed show that there is a neutral effect of dairy product and mainly milk consumption compared with the habitual diet on body weight and body composition in children and adolescents. Inclusion of milk and other dairy products as part of an energy-restricted diet did not enhance, but neither did it adversely affect, BMI or weight loss. However, given the limited data available from studies conducted under conditions of energy restriction, no conclusions can be drawn.

Plausible mechanisms underlying the effect of dairy components on body-weight regulation

Given the inconsistencies among the studies reviewed, there is a great need to understand the mechanisms by which dairy products affect energy balance and consequently body weight or composition. As reviewed elsewhere( Reference Dougkas, Reynolds and Givens 93 Reference Soares, Murhadi and Kurpad 95 ), a number of different plausible mechanisms have been suggested, with the most frequently cited mechanism relating to the effects of intracellular ionised Ca on adipocyte metabolism( Reference Zemel 96 , Reference Shi, Norman and Okamura 97 ). According to this theory, an increase in dietary Ca via its influence on circulating calcitropic hormones (suppression of the 1,25-hydroxyvitamin D and parathyroid hormone concentrations) reduces the concentration of intracellular ionised Ca in human adipocytes. The resultant decrease in ionised Ca stimulates lipolysis, inhibits de novo lipogenesis and increases fat oxidation( Reference Zemel 98 , Reference Xue, Greenberg and Kraemer 99 ). Gonzalez et al. ( Reference Gonzalez, Rumbold and Stevenson 100 ) showed in a meta-analysis that an increase in dietary Ca by 800 mg/d predicted an 11 % increase in fat oxidation with more pronounced effects when habitual chronic Ca intake was low (<700 mg/d). However, the hypothesis of reduced adipogenesis through dietary Ca has been refuted by some human studies( Reference Bortolotti, Rudelle and Schneiter 101 , Reference Dugan, Barona and Fernandez 102 ). There is also some evidence that Ca in the form of dairy foods exerts greater effect than Ca supplements( Reference Sun and Zemel 103 ). This could be attributable to the synergistic actions of Ca with several bioactive compounds present in dairy products such as branched-chain amino acids, i.e. leucine( Reference Zemel 104 ). Peptides in whey protein inhibit angiotensin-converting enzyme, which suppresses angiotensin II hormone production and consequently stimulation of adipocyte lipogenesis, resulting in reduction of fat accumulation( Reference Pihlanto-Leppala, Koskinen and Piilola 105 , Reference Shah 106 ). Fatty acids in dairy products such as medium-chain fatty acids and conjugated linoleic acid have also been shown to reduce lipogenesis and increase fat oxidation in the adipocyte via suppressing the expression of pro-adipogenic cell signals including PPARγ( Reference Belury 107 Reference Moon, Lee and Seo 110 ).

Additionally, dietary Ca may exert the anti-obesity effect mediated by increased faecal fat excretion( Reference Denke, Fox and Schulte 111 , Reference Jacobsen, Lorenzen and Toubro 112 ). Specifically, Ca interferes with fat absorption in the gastrointestinal tract by binding fatty acids to form insoluble Ca soaps or by creating precipitates with phosphate and bile acids, which decreases the digestible energy from the diet and contributes to a negative energy balance( Reference Jandacek 113 ). Christensen et al.( Reference Christensen, Lorenzen and Svith 114 ) showed in a meta-analysis of fifteen studies, including one study in children( Reference Lutwak, Laster and Gitelman 115 ), that increased Ca intake from both supplements and dairy products of 1241 mg/d increased faecal fat excretion by 5·2 g/d. However, limited studies have examined these mechanisms in children and adolescents( Reference Lappe, McMahon and Laughlin 81 , Reference Weaver, Campbell and Teegarden 90 ) and results do not support any effect of dietary Ca or dairy products on energy, fat or N balances in overweight adolescents when energy intake and physical activity are controlled. These results were independent of the Ca source (dairy foods or calcium carbonate supplements) or when stratified by the baseline BMI percentile. As the authors stated, the contrasting results between adolescents and adults regarding faecal fat excretion could be attributable to the higher faecal Ca in adults compared with adolescents who had similar Ca intake( Reference Weaver, Campbell and Teegarden 90 ). Furthermore, in addition to sex-related differences (higher visceral fat deposition( Reference Goran and Gower 116 ) and thermogenic oxidation( Reference Weaver, Campbell and Teegarden 90 ) in boys), several dynamic metabolic changes occur in a period of rapid growth and puberty that could further complicate the mechanistic pathways( Reference Huang and McCrory 117 ).

Another proposed mechanism refers to the Ca appetite concept, which according to Tordoff( Reference Tordoff 118 ), dietary Ca depletion triggers the appetite for Ca-rich foods. There are some plausible mechanisms, which rely on the identification of certain genes responsible for taste recognition( Reference Tordoff 119 ) and an increase in the fasting anorexigenic hormone leptin( Reference Wennersberg, Smedman and Turpeinen 120 ) or postprandial levels of anorexigenic glucose-dependent insulinotropic peptide and glucagon-like peptide after ingestion of Ca( Reference Gonzalez and Stevenson 121 ), yet with inconsistent results( Reference Gonzalez, Green and Campbell 122 , Reference Gonzalez, Green and Brown 123 ). Specific components of dairy foods and mainly whey and casein proteins have been associated with increased satiety( Reference Bendtsen, Lorenzen and Bendsen 124 ) through delayed gastric emptying( Reference Shafer, Levine and Marlette 125 ), and regulation of the concentration of plasma amino acid( Reference Jordi, Herzog and Camargo 126 ) and gastrointestinal hormones such as cholecystokinin( Reference Nakajima, Hira and Hara 127 ), peptide YY( Reference Mace, Schindler and Patel 128 ) and gastrin( Reference Behar, Hitchings and Smyth 129 ). However, it remains unknown whether the satiating effect is due to Ca or the dairy matrix( Reference Villarroel, Villalobos and Reyes 130 ), with inconsistent results in the limited studies conducted in children and adolescents, as discussed later.

Certain dairy products such as yoghurt might exert the anti-obesity effect mediated by manipulation of the composition and metabolic activity of gut microbiota( Reference Marette and Picard-Deland 131 , Reference Moreno, Bel-Serrat and Santaliestra-Pasías 132 ). The composition of the intestinal microbiota differs between normal-weight and obese/overweight children( Reference Karlsson, Onnerfalt and Xu 133 , Reference Bervoets, Van Hoorenbeeck and Kortleven 134 ) and there is evidence that early differences in gut microbiota composition in children could predict overweight( Reference Kalliomaki, Collado and Salminen 135 ). Given that fermented dairy products are a source of probiotics, some plausible mechanisms, which are still poorly understood, suggest an interaction of probiotics with indigenous bacteria in the gastrointestinal tract that might influence the metabolic pathways involved in lipid metabolism( Reference Arora, Singh and Sharma 136 ). Although the few studies conducted in that area showed beneficial effects of probiotics on weight management in children( Reference Luoto, Kalliomäki and Laitinen 137 , Reference Safavi, Farajian and Kelishadi 138 ), further research is clearly needed.

A few observational and intervention studies showed a positive association between milk and other dairy products( Reference Berkey, Rockett and Willett 41 , Reference Dubois, Diasparra and Bogl 43 , Reference Du, Zhu and Trube 75 , Reference Arnberg, Mølgaard and Michaelsen 78 , Reference Larnkjaer, Arnberg and Michaelsen 79 ) and particularly dairy proteins( Reference Günther, Remer and Kroke 139 , Reference Braun, Erler and Kiefte-de Jong 140 ) with weight gain. Putative mechanisms explaining increased weight gain include the stimulation of IGF-1( Reference Hoppe, Molgaard and Juul 141 Reference Rogers, Emmett and Gunnell 143 ), which has a negative impact on preadipocyte differentiation and multiplication( Reference Koletzko 144 , Reference Rolland-Cachera, Deheeger and Akrout 145 ). However, there are conflicting results with regards to the relationship between IGF-1 concentration and BMI in children( Reference Fall, Clark and Hindmarsh 146 Reference Juul, Holm and Kastrup 148 ).

In addition, milk proteins have also been shown to stimulate insulin secretion( Reference Pal and Ellis 149 Reference Bjørnshave and Hermansen 151 ), which is another growth hormone due to its binding to IGF-1 receptors, thus promoting cell replication in connective and musculoskeletal tissue( Reference Hill and Milner 152 ). Further research is needed in order to elucidate the putative mechanisms underlying the impact of dairy components on body weight regulation.

Evidence from intervention studies of the effect of dairy product intake on appetite and energy intake regulation

Given that obesity is characterised by an imbalance between energy intake and expenditure, understanding the factors or dietary components that could regulate appetite and energy intake has been a substantial focus in recent years. Although several studies have examined the effect of milk and other dairy product consumption as whole foods on appetite and subsequent meal energy intake in adults( Reference Dove, Hodgson and Puddey 153 Reference Onvani, Haghighatdoost and Surkan 156 ), there is a limited number of studies conducted in children( Reference Brindal, Baird and Slater 157 Reference Green, Stevenson and Rumbold 161 ). Brindal et al. ( Reference Brindal, Baird and Slater 157 ) showed that there was no difference in subsequent appetite or energy intake at the ad libitum lunch 3 h after the consumption of a full milk beverage compared with isoenergetic half milk/glucose and glucose beverages in 10- to 12-year-old children. In contrast, Mehrabani et al. ( Reference Mehrabani, Safavi and Asemi 158 ) recently showed that 10- to 12-year-old obese boys who consumed a fixed content breakfast with low-fat milk for two consecutive days had lower subjective appetite ratings and subsequent energy intake at lunch 5 h after, compared with apple juice and water (1010 kcal (4226 kJ), 1059 kcal (4431 kJ) and 1236 kcal (5171 kJ), respectively; P<0·001). Furthermore, Green et al. ( Reference Green, Stevenson and Rumbold 161 ) showed that acute mid-morning milk consumption as a snack reduced ad libitum energy intake compared with an isoenergetic and isovolumetric serving of fruit juice in adolescent boys. Differences in subjects’ characteristics (obese boys v. normal-weight boys and girls) and time interval between breakfast or snack and the ad libitum lunch could explain the discrepancy in results between the studies. Furthermore, Mehrabani et al. ( Reference Mehrabani, Safavi and Asemi 158 ) provided one serving of fruit between the breakfast and lunch which could have assisted in prolonging the feelings of satisfaction up to 5 h, whilst Brindal et al. ( Reference Brindal, Baird and Slater 157 ) used an interval of 3 h where appetite ratings have returned to baseline values. Despite the modest decrease in energy intake by 50 kcal (209 kJ) between milk and apple juice, the authors suggested it could help with energy control and maintaining a healthy weight in the longer term.

Free-living setting outcomes

The majority of the studies have investigated appetite and energy intake as the primary endpoints within a laboratory setting but some of the studies, which included assessment of energy intake as part of body weight measurements, could shed some light on the effect of dairy foods on energy intake in a free-living environment. For instance, Lappe et al. ( Reference Lappe, Rafferty and Davies 76 ) showed that girls consuming a Ca-rich diet were not ingesting more energy relative to those on their habitual diet and Albala et al. ( Reference Albala, Ebbeling and Cifuentes 80 ) reported decreased energy intake by the concurrent replacement of sugar-sweetened beverages with milk consumption compared with control (–91 v. 9·7 kcal/d (–381 v. 41 kJ/d); P=0·03). Similarly, Andersen et al. ( Reference Andersen, Arnberg and Trolle 162 ) recently revisited the MoMS intervention study, investigating the effects of increased water or milk-based drinks on total energy intake and dietary patterns in overweight adolescents. Although water intake reduced (–236 kcal/d (–987 kJ/d) while milk-based drinks did not alter total energy intake during the 12-week intervention compared with the background diet (baseline), both water and milk-based drinks had a favourable effect on the diet by decreasing the consumption of convenience foods, including sugar-sweetened beverages. This is particularly important given that there were no other restrictions in the diet and the milk-based drinks were added as extra intake, implying a compensatory effect of those on energy balance and reflecting positive dietary changes in usual life and free-living behaviour. Finally Green et al. ( Reference Green, Stevenson and Rumbold 161 ) recently showed no statistically significant differences between chronic (28 d) milk and fruit juice consumption as a mid-morning snack on change in total daily energy intake. However, with the group consuming milk as a mid-morning snack, total daily energy intake declined over the 28 d (P=0·013); no such change was observed in the group consuming fruit juice.

Effect of type of milk or dairy product on satiety and energy intake

Considering the impact of the type of dairy foods with regard to the fat content on satiation and energy intake, Kling et al. ( Reference Kling, Roe and Sanchez 159 ) recently showed that there was a compensatory effect of full-fat relative to low-fat milk consumption when served with lunch on preschoolers’ food intake, although there were no differences in total meal energy intake (lunch + milk). However, there was a sex effect; lunch intake was reduced by 43 (sem 8) kcal (180 (sem 33) kJ) (P=0·001) after full-fat milk without altering total meal energy intake for boys, whereas in girls there was no reduction in lunch intake, which increased total meal energy intake by 24 (sem 10) kcal (100 (sem 42) kJ) (P=0·03). However, this was an acute study and it remains unknown whether energy compensation persists over the whole day or in intakes over the long term. There is one study which examined the effect of replacing regular-fat with reduced- or low-fat dairy products on dietary intakes and health outcomes( Reference Hendrie and Golley 163 ). In this 24-week cluster randomised controlled trial, parents and their 4- to 13-year-old children were randomly assigned to behavioural nutrition education to change to reduced-fat dairy products (intervention group) or reduce screen time (control group). The results indicated that there was a 74 % decrease in regular-fat dairy product intake in the intervention group, which led to a reduction of 3·3 percentage points in saturated fat compared with the control group at week 24. However, there was no difference in total energy intake (–195 (95 % CI –772, 383) kJ; P=0·504) or BMI z score and waist circumference between the two groups. The authors in a secondary analysis of this trial tried to address whether there was compensation or energy adjustment by incorporating other foods in the diet when lower-energy-dense dairy products were introduced( Reference Golley and Hendrie 164 ). The results showed that replacing regular- with reduced-fat dairy foods did not adversely have an impact on children’s overall food intake by revealing no differences in food group contribution to energy intake between the intervention and the control group at week 24. The foods that contained excess fat, added sugar and/or salt had the largest contribution to children’s total energy intake (27 %) and saturated fat intake (33 %), highlighting that reduction of energy-dense foods is necessary to achieve better control of saturated fat and total energy intake.

In general, inclusion of any dairy products into weight-maintenance diets did not lead to a higher overall energy intake, implying a partial compensatory effect of milk on energy balance. Further, adequately designed studies are needed to examine if habitual consumption of milk and other dairy products make an impact on appetite regulation and consequently energy intake in children and adolescents.

Overall conclusions

This critical and comprehensive review of evidence based on ninety-four studies of different study designs found that milk and other dairy products are consistently not associated, or inversely associated, with body fatness in children relative to low or no dairy product consumption. More specifically, results from observational studies presented as both unadjusted, and as adjusted, for energy intakes indicate that adjustment for energy intake tended to change negative associations to null or neutral. Our findings are based on forty-three cross-sectional and thirty-one longitudinal studies. Only six studies of the seventy-four observational studies reviewed found any positive association between any component of milk or other dairy products and body fatness in children, and for two of these five studies the exposure was milk protein. The majority of the twenty intervention studies showed no differences in body weight and body composition between children and adolescents who increased dairy food and mainly milk consumption and those who maintained their habitual diet. Only one study included energy intake restriction and increased dairy product consumption; neither BMI nor weight loss was enhanced or adversely affected, yet no firm conclusions can be drawn due to limited data available under energy restriction.

We did endeavour to assess whether the relationship was different by type of milk and milk product. Although some studies did report differences, we consistently found that the type of product did not change the overall direction of travel for both observational and intervention studies. We found that there appeared to be very little difference in the results between milks of differing fat content, regardless of study design.

We also endeavoured to assess whether the relationship was different by age of the child. Most studies were conducted in 8- to 12-year-olds, but only a few studies were conducted in preschool children. The relationship between milk and other dairy products, and body fatness in children, did not appear to change during childhood except in the preschool years. Due to the limited data available, and the inconsistency of the results, it is not possible to make any inference about the relationship between milk and other dairy products with obesity and indicators of adiposity, and age of the child. However, we do suggest that further research is warranted on this topic in children < 5 years of age.

Milk and dairy foods are nutrient rich and make a significant contribution to Ca, iodine, riboflavin, vitamin B12, K and vitamin A intakes in children. On this basis, we conclude that there is limited and no definitive evidence to support a concern to limit the consumption of milk and other dairy products by children on the grounds that they may promote obesity. Furthermore, the existing evidence shows that there is no accepted underlying mechanistic rationale to support the hypothesis that milk and other dairy products promote excess weight gain, or increase appetite.

Further research is needed to better understand the role of different milks and different dairy foods in childhood obesity. The new and emerging range of products (including plant-based alternatives) being used as dairy milk substitutes has yet to be evaluated in scientific studies.

Acknowledgements

A funding contribution and information on the nutrient composition and consumption trends of dairy products were provided by The Dairy Council (http://www.milk.co.uk/).

A. D. drafted the manuscript. All authors contributed to, and approved, the final version of the manuscript.

The authors have no relevant conflict of interests to declare.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0954422418000227

References

1. World Health Organization (2016) Commission on Ending Childhood Obesity. www.who.int/end-childhood-obesity/en (accessed October 2018).Google Scholar
2. World Health Organization (2016) Obesity and overweight: fact sheet (updated). http://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight (accessed October 2018).Google Scholar
3. Monteiro, CA, Conde, WL, Lu, B, et al. (2004) Obesity and inequities in health in the developing world. Int J Obes 28, 11811186.CrossRefGoogle ScholarPubMed
4. Ebbeling, C, Pawlak, D & Ludwig, D (2002) Childhood obesity: public-health crisis, common sense cure. Lancet 360, 473482.CrossRefGoogle ScholarPubMed
5. Whitaker, RC, Wright, JA, Pepe, MS, et al. (1997) Predicting obesity in young adulthood from childhood and parental obesity. New Engl J Med 337, 869873.CrossRefGoogle ScholarPubMed
6. Seidell, JC & Halberstadt, J (2015) The global burden of obesity and the challenges of prevention. Ann Nutr Metab 66, Suppl. 2, 712.CrossRefGoogle ScholarPubMed
7. Change4Life (2017) Change4Life. www.nhs.uk/Change4Life/Pages/change-for-life.aspx (accessed November 2017).Google Scholar
8. Stanford, FC, Tauqeer, Z & Kyle, TK (2018) Media and its influence on obesity. Curr Obes Rep 7, 186192.CrossRefGoogle ScholarPubMed
9. Buttriss, JL (2016) The Eatwell Guide refreshed. Nutr Bull 41, 135141.CrossRefGoogle Scholar
10. Change4Life (2014) Swap while you shop: new campaign launched to get families making healthy swaps in January. https://www.gov.uk/government/news/swap-while-you-shop-new-campaign-launched-to-get-families-making-healthy-swaps-in-january (accessed June 2018).Google Scholar
11. NHS (2018) Eat Well: dairy and alternatives in your diet. https://www.nhs.uk/live-well/eat-well/milk-and-dairy-nutrition/ (accessed June 2018).Google Scholar
12. Public Health England (2018) Closed consultation: UK Nutrient Profiling Model 2018 review. https://www.gov.uk/government/consultations/consultation-on-the-uk-nutrient-profiling-model-2018-review (accessed June 2018).Google Scholar
13. Garrow, J (1979) Weight penalties. Br Med J 2, 11711172.CrossRefGoogle ScholarPubMed
14. European Commission (2017) Milk and milk products. https://ec.europa.eu/food/animals/animalproducts/milk_en (accessed August 2017).Google Scholar
15. United States Department of Agriculture (2015) 2015–2020 Dietary Guidelines for Americans: 8th edition. https://health.gov/dietaryguidelines/2015/guidelines/ (accessed October 2018).Google Scholar
16. EUR-Lex (2017) Europa EU Law and Publications Regulation (EC) No 178/2002. http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32002R0178 (accessed August 2017).Google Scholar
17. Finglas, PM, Roe, MA, Pinchen, HM, et al. (2015) McCance and Widdowson’s The Composition of Foods: Seventh Summary Edition. Cambridge: Royal Society of Chemistry.Google Scholar
18. National Research Council (US) Committee on Technological Options to Improve the Nutritional Attributes of Animal Products (1988) Designing Foods: Animal Product Options in the Marketplace. Factors Affecting the Composition of Milk from Dairy Cows. Washington, DC: National Academies Press. https://www.ncbi.nlm.nih.gov/books/NBK218193/ (accessed October 2018).Google Scholar
19. Auestad, N, Hurley, JS, Fulgoni, VL III, et al. (2015) Contribution of food groups to energy and nutrient intakes in five developed countries. Nutrients 7, 45934618.CrossRefGoogle ScholarPubMed
20. World Health Organization (2018) Global and regional food consumption patterns and trends. http://www.who.int/nutrition/topics/3_foodconsumption/en/index4.html (accesssed June 2018).Google Scholar
21. Global Nutrition and Policy Consortium (2014) Home of the Global Dietary Database. Tufts Friedman School of Nutrition Science and Policy. https://www.globaldietarydatabase.org/ (accessed June 2018).Google Scholar
22. Louie, JCY, Flood, VM, Hector, DJ, et al. (2011) Dairy consumption and overweight and obesity: a systematic review of prospective cohort studies. Obes Rev 12, 582592.CrossRefGoogle ScholarPubMed
23. Dror, DK &Allen, LH (2013) Dairy product intake in children and adolescents in developed countries: trends, nutritional contribution, and a review of association with health outcomes. Nutr Rev 72, 6881.CrossRefGoogle Scholar
24. Dror, DK (2014) Dairy consumption and pre-school, school-age and adolescent obesity in developed countries: a systematic review and meta-analysis. Obes Rev 15, 516527.CrossRefGoogle ScholarPubMed
25. Lu, L, Xun, P, Wan, Y, et al. (2016) Long-term association between dairy consumption and risk of childhood obesity: a systematic review and meta-analysis of prospective cohort studies. Eur J Clin Nutr 70, 414423.CrossRefGoogle ScholarPubMed
26. Wang, W, Wu, Y & Zhang, D (2016) Association of dairy products consumption with risk of obesity in children and adults: a meta-analysis of mainly cross-sectional studies. Ann Epidemiol 26, 870882.CrossRefGoogle ScholarPubMed
27. Kouvelioti, R, Josse, A & Klentrou, P (2017) The effects of dairy consumption on body composition and bone properties in youth: a systematic review. Curr Dev Nutr 1, e001214.CrossRefGoogle ScholarPubMed
28. Møller, MH, Ioannidis, JPA & Darmon, M (2018) Are systematic reviews and meta‑analyses still useful research? We are not sure. Intensive Care Med 44, 518520.CrossRefGoogle Scholar
29. Nezami, M, Segovia-Siapco, G, Beeson, W, et al. (2016) Associations between consumption of dairy foods and anthropometric indicators of health in adolescents. Nutrients 8, E427.CrossRefGoogle ScholarPubMed
30. Wiley, A (2010) Dairy and milk consumption and child growth: is BMI involved? An analysis of NHANES 1999–2004. Am J Hum Biol 22, 517525.CrossRefGoogle ScholarPubMed
31. Rangan, AM, Flood, VL, Denyer, G, et al. (2012) The effect of dairy consumption on blood pressure in mid-childhood: CAPS cohort study. Eur J Clin Nutr 66, 652657.CrossRefGoogle ScholarPubMed
32. Garden, FL, Marks, GB, Almqvist, C, et al. (2011) Infant and early childhood dietary predictors of overweight at age 8 years in the CAPS population. Eur J Clin Nutr 65, 454462.CrossRefGoogle ScholarPubMed
33. Phillips, SM, Bandini, LG, Cyr, H, et al. (2003) Dairy food consumption and body weight and fatness studied longitudinally over the adolescent period. Int J Obes 27, 11061113.CrossRefGoogle ScholarPubMed
34. Fayet-Moore, F (2015) Effect of flavored milk vs plain milk on total milk intake and nutrient provision in children. Nutr Rev 74, 117.CrossRefGoogle ScholarPubMed
35. Noel, S, Ness, AR, Northstone, K, et al. (2013) Associations between flavored milk consumption and changes in weight and body composition over time: differences among normal and overweight children. Eur J Clin Nutr 67, 295300.CrossRefGoogle ScholarPubMed
36. Vanselow, MS, Pereira, MA, Neumark-Sztainer, D, et al. (2009) Adolescent beverage habits and changes in weight over time: findings from Project EAT. Am J Clin Nutr 90, 14891495.CrossRefGoogle ScholarPubMed
37. Kratz, M, Baars, T & Guyenet, S (2013) The relationship between high-fat dairy consumption and obesity, cardiovascular, and metabolic disease. Eur J Nutr 52, 124.CrossRefGoogle ScholarPubMed
38. Noel, S, Ness, AR, Northstone, K, et al. (2011) Milk intakes are not associated with percent body fat in children from ages 10 to 13 years. J Nutr 141, 20352041.CrossRefGoogle Scholar
39. Huh, SY, Rifas-Shiman, SL, Rich-Edwards, JW, et al. (2010) Prospective association between milk intake and adiposity in preschool-aged children. J Am Diet Assoc 110, 563570.CrossRefGoogle ScholarPubMed
40. Scharf, RJ, Demmer, RT & DeBoer, MD (2013) Longitudinal evaluation of milk type consumed and weight status in preschoolers. Arch Dis Child 98, 335340.CrossRefGoogle ScholarPubMed
41. Berkey, C, Rockett, H, Willett, W, et al. (2005) Milk, dairy fat, dietary calcium, and weight gain. Arch Pediatr Adolesc Med 159, 543550.CrossRefGoogle ScholarPubMed
42. Bigornia, SJ, LaValley, MP, Moore, LL, et al. (2014) Dairy intakes at age 10 years do not adversely affect risk of excess adiposity at 13 years. J Nutr 144, 10811090.CrossRefGoogle Scholar
43. Dubois, L, Diasparra, M, Bogl, L, et al. (2016) Dietary intake at 9 years and subsequent body mass index in adolescent boys and girls: a study of monozygotic twin pairs. Twin Res Hum Genet 19, 4759.CrossRefGoogle ScholarPubMed
44. Gidding, SS, Dennison, BA, Birch, LL, et al. (2006) Dietary recommendations for children and adolescents: a guide for practitioners. Pediatrics 117, 544559.Google ScholarPubMed
45. Carruth, BR & Skinner, JD (2001) The role of dietary calcium and other nutrients in moderating body fat in preschool children. Int J Obes Relat Metab Disord 25, 559566.CrossRefGoogle ScholarPubMed
46. Skinner, JD, Bounds, W, Carruth, BR, et al. (2003) Longitudinal calcium intake is negatively related to children’s body fat indexes. J Am Diet Assoc 103, 16261631.CrossRefGoogle ScholarPubMed
47. Dixon, LB, Pellizzon, MA, Jawad, AF, et al. (2005) Calcium and dairy intake and measures of obesity in hyper- and normocholesterolemic children. Obesity Res 13, 17271738.CrossRefGoogle ScholarPubMed
48. Fisher, J, Mitchell, D, Smiciklas-Wright, H, et al. (2004) Meeting calcium recommendations during middle childhood reflects mother–daughter beverage choices and predicts bone mineral status. Am J Clin Nutr 79, 698706.CrossRefGoogle ScholarPubMed
49. Barr, S (2007) Calcium and body fat in peripubertal girls: cross-sectional and longitudinal observations. Obesity 15, 13021310.CrossRefGoogle ScholarPubMed
50. Rockell, JEP, Williams, SM, Taylor, RW, et al. (2004) Two-year changes in bone and body composition in young children with a history of prolonged milk avoidance. Osteoporos Int 16, 10161023.CrossRefGoogle ScholarPubMed
51. Striegel-Moore, RH, Thompson, D, Affenito, SG, et al. (2006) Correlates of beverage intake in adolescent girls: The National Heart, Lung, and Blood Institute Growth and Health Study. J Pediatr 148, 183187.CrossRefGoogle ScholarPubMed
52. Wang, Y (2002) Is obesity associated with early sexual maturation? A comparison of the association in American boys versus girls. Pediatrics 110, 903910.CrossRefGoogle ScholarPubMed
53. Hasnain, SR, Singer, MR, Bradlee, ML, et al. (2014) Beverage intake in early childhood and change in body fat from preschool to adolescence. Child Obes 10, 4249.CrossRefGoogle Scholar
54. DeBoer, MD, Agard, HE & Scharf, RJ (2014) Milk intake, height and body mass index in preschool children. Arch Dis Childhood 100, 460465.CrossRefGoogle ScholarPubMed
55. Moore, LL, Singer, MR, Qureshi, MM, et al. (2008) Dairy intake and anthropometric measures of body fat among children and adolescents in NHANES. J Am Coll Nutr 27, 702710.CrossRefGoogle ScholarPubMed
56. Charney, M (2010) Review of bioactive components in milk and dairy products. J Agric Food Inf 11, 358359.CrossRefGoogle Scholar
57. Liu, S, Choi, HK, Ford, E, et al. (2006) A prospective study of dairy intake and the risk of type 2 diabetes in women. Diabetes Care 29, 15791584.CrossRefGoogle ScholarPubMed
58. Margolis, KL, Wei, F, de Boer, IH, et al. (2011) A diet high in low-fat dairy products lowers diabetes risk in postmenopausal women. J Nutr 141, 19691974.Google ScholarPubMed
59. Sempos, C (1992) Invited commentary: some limitations of semi quantitative food frequency questionnaires. Am J Epidemiol 135, 11271132.CrossRefGoogle Scholar
60. Salvini, S, Hunter, DJ, Sampson, L, et al. (1989) Food-based validation of a dietary questionnaire: the effects of week-to-week variation in food consumption. Int J Epidemiol 18, 858867.CrossRefGoogle ScholarPubMed
61. Huang, TT, Roberts, SB, Howarth, NC, et al. (2005) Effect of screening out implausible energy intake reports on relationships between diet and BMI. Obes Rev 13, 12051217.CrossRefGoogle ScholarPubMed
62. Bandini, LG, Must, A, Cyr, H, et al. (2003) Longitudinal changes in the accuracy of reported energy intake in girls 10–15 y of age. Am J Clin Nutr 78, 480484.CrossRefGoogle ScholarPubMed
63. Singer, MR, Moore, LL, Garrahie, EJ, et al. (1995) The tracking of nutrient intake in young children: The Framingham Children’s Study. Am J Public Health 85, 16731677.CrossRefGoogle ScholarPubMed
64. Boulton, TJ, Magarey, AM & Cockington, RA (1995) Tracking of serum lipids and dietary energy, fat, and calcium intake 1 to 15 years. Acta Paediatr 84, 10501055.CrossRefGoogle ScholarPubMed
65. Petit, M (2002) A randomised school-based jumping intervention confers site and maturity-specific benefits on bone structural properties in girls: a hip structural analysis study. J Bone Miner Res 17, 363372.CrossRefGoogle Scholar
66. Willett, WC, Howe, GR & Kushi, LH (1997) Adjustment for total energy intake in epidemiologic studies. Am J Clin Nutr 65, 1220S1231S.CrossRefGoogle ScholarPubMed
67. Chan, GM, Hoffman, K & McMurry, M (1995) Effects of dairy products on bone and body composition in pubertal girls. J Pediatr 126, 551556.CrossRefGoogle Scholar
68. Cadogan, J, Eastell, R, Jones, N, et al. (1997) Milk intake and bone mineral acquisition in adolescent girls: randomised, controlled intervention trial. BMJ 315, 12551260.CrossRefGoogle ScholarPubMed
69. Merrilees, MJ, Smart, EJ, Gilchrist, NL, et al. (2000) Effects of dairy food supplements on bone mineral density in teenage girls. Eur J Nutr 39, 256262.CrossRefGoogle Scholar
70. Volek, JS, Gómez, AL, Scheett, TP, et al. (2003) Increasing fluid milk favorably affects bone mineral density responses to resistance training in adolescent boys. J Am Diet Assoc 103, 13531356.CrossRefGoogle ScholarPubMed
71. Cheng, S, Lyytikäinen, A, Kröger, A, et al. (2005) Effects of calcium, dairy product, and vitamin D supplementation on bone mass accrual and body composition in 10–12-y-old girls: a 2-y randomized trial. Am J Clin Nutr 82, 11151126.CrossRefGoogle Scholar
72. Lau, EMC, Lynn, H, Chan, YH, et al. (2004) Benefits of milk powder supplementation on bone accretion in Chinese children. Osteoporos Int 15, 654658.CrossRefGoogle Scholar
73. Weber, D, Stark, L, Ittenbach, R, et al. (2017) Building better bones in childhood: a randomized controlled study to test the efficacy of a dietary intervention program to increase calcium intake. Eur J Clin Nutr 71, 788794.CrossRefGoogle ScholarPubMed
74. Vogel, K, Martin, B, McCabe, L, et al. (2017) The effect of dairy intake on bone mass and body composition in early pubertal girls and boys: a randomized controlled trial. Am J Clin Nutr 105, 12141229.CrossRefGoogle Scholar
75. Du, X, Zhu, K, Trube, A, et al. (2004) School-milk intervention trial enhances growth and bone mineral accretion in Chinese girls aged 10–12 years in Beijing. Br J Nutr 92, 159168.CrossRefGoogle ScholarPubMed
76. Lappe, J, Rafferty, K, Davies, K, et al. (2004) Girls on a high-calcium diet gain weight at the same rate as girls on a normal diet: a pilot study. J Am Diet Assoc 104, 13611367.CrossRefGoogle ScholarPubMed
77. Li, P, Fan, C, Lu, Y, et al. (2016) Effects of calcium supplementation on body weight: a meta-analysis. Am J Clin Nutr 104, 12631273.CrossRefGoogle ScholarPubMed
78. Arnberg, K, Mølgaard, C, Michaelsen, KF, et al. (2012) Skim milk, whey, and casein increase body weight and whey and casein increase the plasma C-peptide concentration in overweight adolescents. J Nutr 142, 20832090.CrossRefGoogle ScholarPubMed
79. Larnkjaer, A, Arnberg, K, Michaelsen, KF, et al. (2015) Effect of increased intake of skimmed milk, casein, whey or water on body composition and leptin in overweight adolescents: a randomized trial. Pediatr Obes 10, 461467.CrossRefGoogle ScholarPubMed
80. Albala, C, Ebbeling, C, Cifuentes, M, et al. (2008) Effects of replacing the habitual consumption of sugar-sweetened beverages with milk in Chilean children. Am J Clin Nutr 88, 605611.CrossRefGoogle ScholarPubMed
81. Lappe, J, McMahon, D, Laughlin, A, et al. (2017) The effect of increasing dairy calcium intake of adolescent girls on changes in body fat and weight. Am J Clin Nutr 105, 10461053.CrossRefGoogle Scholar
82. St-Onge, MP, Goree, LL & Gower, B (2009) High-milk supplementation with healthy diet counseling does not affect weight loss but ameliorates insulin action compared with low-milk supplementation in overweight children. J Nutr 139, 933938.CrossRefGoogle Scholar
83. Kelishadi, R, Zemel, M, Hashemipour, M, et al. (2009) Can a dairy-rich diet be effective in long-term weight control of young children? J Am Coll Nutr 28, 601610.CrossRefGoogle ScholarPubMed
84. Chen, M, Pan, A, Malik, VS, et al. (2012) Effects of dairy intake on body weight and fat: a meta-analysis of randomized controlled trials. Am J Clin Nutr 96, 735747.CrossRefGoogle ScholarPubMed
85. Abargouei, A, Janghorbani, M, Salehi-Marzijarani, M, et al. (2012) Effect of dairy consumption on weight and body composition in adults: a systematic review and meta-analysis of randomized controlled clinical trials. Int J Obes 36, 14851493.CrossRefGoogle ScholarPubMed
86. Ghayour-Mobarhan, M, Sahebkar, A, Vakili, R, et al. (2009) Investigation of the effect of high dairy diet on body mass index and body fat in overweight and obese children. Indian J Pediatr 76, 11451150.CrossRefGoogle ScholarPubMed
87. Du, X, Greenfield, H, Fraser, DR, et al. (2001) Vitamin D deficiency and associated factors in adolescent girls in Beijing. Am J Clin Nutr 74, 494500.CrossRefGoogle ScholarPubMed
88. Fellows, P & Hampton, A (editors) (1992) Chapter 9: Milk and milk products. In Small-scale Food Processing: A Guide for Appropriate Equipment. London: Intermediate Technology Publications. http://www.fao.org/Wairdocs/X5434E/x5434e0d.htm (accessed June 2018).Google Scholar
89. Kang, SH, Kim, JU, Imm, JY, et al. (2006) The effects of dairy processes and storage on insulin-like growth factor-I (IGF-I) content in milk and in model IGF-1-fortified dairy products. J Dairy Sci 89, 402409.CrossRefGoogle ScholarPubMed
90. Weaver, C, Campbell, W, Teegarden, D, et al. (2011) Calcium, dairy products, and energy balance in overweight adolescents: a controlled trial. Am J Clin Nutr 94, 11631170.CrossRefGoogle ScholarPubMed
91. Maffeis, C, Pietrobelli, A, Grezzani, A, et al. (2001) Waist circumference and cardiovascular risk factors in prepubertal children. Obes Res 9, 179187.CrossRefGoogle ScholarPubMed
92. Savva, SC, Tornaritis, M, Savva, ME, et al. (2000) Waist circumference and waist-to-height ratio are better predictors of cardiovascular disease risk factors in children than body mass index. Int J Obes Relat Metab Disord 24, 14531458.CrossRefGoogle ScholarPubMed
93. Dougkas, A, Reynolds, C, Givens, I, et al. (2011) Associations between dairy consumption and body weight: a review of the evidence and underlying mechanisms. Nutr Res Rev 24, 7295.CrossRefGoogle ScholarPubMed
94. Major, G, Chaput, J, Ledoux, M, et al. (2008) Recent developments in calcium-related obesity research. Obes Rev 9, 428445.CrossRefGoogle ScholarPubMed
95. Soares, M, Murhadi, L, Kurpad, A, et al. (2012) Mechanistic roles for calcium and vitamin D in the regulation of body weight. Obes Rev 13, 592605.CrossRefGoogle ScholarPubMed
96. Zemel, M (2002) Regulation of adiposity and obesity risk by dietary calcium: mechanisms and implications. J Am Coll Nutr 21, 146S151S.CrossRefGoogle ScholarPubMed
97. Shi, H, Norman, AW, Okamura, WH, et al. (2001) 1α,25-Dihydroxyvitamin D3 modulates human adipocyte metabolism via nongenomic action. FASEB J 15, 27512753.CrossRefGoogle ScholarPubMed
98. Zemel, M (2003) Role of dietary calcium and dairy products in modulating adiposity. Lipids 38, 139146.CrossRefGoogle ScholarPubMed
99. Xue, B, Greenberg, AG, Kraemer, FB, et al. (2001) Mechanism of intracellular calcium ([Ca2+]i) inhibition of lipolysis in human adipocytes. FASEB J 15, 25272529.CrossRefGoogle ScholarPubMed
100. Gonzalez, JT, Rumbold, PL & Stevenson, EJ (2012) Effect of calcium intake on fat oxidation in adults: a meta-analysis of randomized, controlled trials. Obes Rev 13, 848857.CrossRefGoogle ScholarPubMed
101. Bortolotti, M, Rudelle, S, Schneiter, P, et al. (2008) Dairy calcium supplementation in overweight or obese persons: its effect on markers of fat metabolism. Am J Clin Nutr 88, 877885.CrossRefGoogle ScholarPubMed
102. Dugan, C, Barona, J & Fernandez, M (2014) Increased dairy consumption differentially improves metabolic syndrome markers in male and female adults. Metab Syndr Relat Disord 12, 6269.CrossRefGoogle ScholarPubMed
103. Sun, X & Zemel, MB (2007) Calcium and 1,25-dihydroxyvitamin D3 regulation of adipokine expression. Obesity (Silver Spring) 15, 340348.CrossRefGoogle ScholarPubMed
104. Zemel, M (2005) The role of dairy foods in weight management. J Am Coll Nutr 24, 537S546S.CrossRefGoogle ScholarPubMed
105. Pihlanto-Leppala, A, Koskinen, P, Piilola, K, et al. (2000) Angiotensin I-converting enzyme inhibitory properties of whey protein digests: concentration and characterization of active peptides. J Dairy Res 67, 5364.CrossRefGoogle ScholarPubMed
106. Shah, N (2000) Effects of milk-derived bioactives: an overview. Br J Nutr 84, Suppl. 1, S3S10.CrossRefGoogle ScholarPubMed
107. Belury, M (2002) Dietary conjugated linoleic acid in health: physiological effects and mechanisms of action. Annu Rev Nutr 22, 505531.CrossRefGoogle ScholarPubMed
108. Ing, S & Belury, MA (2011) Impact of conjugated linoleic acid on bone physiology: proposed mechanism involving inhibition of adipogenesis. Nutr Rev 69, 123131.CrossRefGoogle Scholar
109. Marten, B, Pfeuffer, M & Schrezenmeir, J (2006) Medium-chain triglycerides. Int Dairy J 16, 13741382.CrossRefGoogle Scholar
110. Moon, HS, Lee, HG, Seo, JH, et al. (2009) Antiobesity effect of PEGylated conjugated linoleic acid on high-fat diet-induced obese C57BL/6J (ob/ob) mice: attenuation of insulin resistance and enhancement of antioxidant defenses. J Nutr Biochem 20, 187194.CrossRefGoogle ScholarPubMed
111. Denke, MA, Fox, MM & Schulte, MC (1993) Short-term dietary calcium fortification increases fecal saturated fat content and reduces serum lipids in men. J Nutr 123, 10471053.Google ScholarPubMed
112. Jacobsen, R, Lorenzen, JK, Toubro, S, et al. (2005) Effect of short-term high dietary calcium intake on 24-h energy expenditure, fat oxidation, and fecal fat excretion. Int J Obes 29, 292301.CrossRefGoogle ScholarPubMed
113. Jandacek, R (1991) The solubilization of calcium soaps by fatty acids. Lipids 26, 250253.CrossRefGoogle Scholar
114. Christensen, R, Lorenzen, JK, Svith, CR, et al. (2009) Effect of calcium from dairy and dietary supplements on faecal fat excretion: a meta-analysis of randomized controlled trials. Obes Rev 10, 475486.CrossRefGoogle ScholarPubMed
115. Lutwak, L, Laster, L, Gitelman, H, et al. (1964) Effects of high dietary calcium and phosphorus on calcium, phosphorus, nitrogen and fat metabolism in children. Am J Clin Nutr 14, 7682.CrossRefGoogle ScholarPubMed
116. Goran, M & Gower, B (1999) Relation between visceral fat and disease risk in children and adolescents. Am J Clin Nutr 70, 149S156S.CrossRefGoogle ScholarPubMed
117. Huang, TT & McCrory, MA (2005) Dairy intake, obesity, and metabolic health in children and adolescents: knowledge and gaps. Nutr Rev 63, 7180.CrossRefGoogle ScholarPubMed
118. Tordoff, MG (2001) Calcium: taste, intake, and appetite. Physiol Rev 81, 15671597.Google Scholar
119. Tordoff, MG (2008) Gene discovery and the genetic basis of calcium consumption. Physiol Behav 94, 649659.CrossRefGoogle ScholarPubMed
120. Wennersberg, MH, Smedman, A, Turpeinen, AM, et al. (2009) Dairy products and metabolic effects in overweight men and women: results from a 6-mo intervention study. Am J Clin Nutr 90, 960968.CrossRefGoogle ScholarPubMed
121. Gonzalez, J & Stevenson, E (2013) Calcium co-ingestion augments postprandial glucose-dependent insulinotropic peptide1–42, glucagon-like peptide-1 and insulin concentrations in humans. Eur J Nutr 53, 375385.CrossRefGoogle Scholar
122. Gonzalez, J, Green, B, Campbell, M, et al. (2014) The influence of calcium supplementation on substrate metabolism during exercise in humans: a randomized controlled trial. Eur J Clin Nutr 68, 712718.CrossRefGoogle ScholarPubMed
123. Gonzalez, J, Green, B, Brown, M, et al. (2015) Calcium ingestion suppresses appetite and produces acute overcompensation of energy intake independent of protein in healthy adults. J Nutr 145, 476482.CrossRefGoogle ScholarPubMed
124. Bendtsen, L, Lorenzen, J, Bendsen, N, et al. (2013) Effect of dairy proteins on appetite, energy expenditure, body weight, and composition: a review of the evidence from controlled clinical trials. Adv Nutr 4, 418438.CrossRefGoogle ScholarPubMed
125. Shafer, RB, Levine, AS, Marlette, JM, et al. (1985) Do calories, osmolality, or calcium determine gastric emptying? Am J Physiol 248, R479R483.Google ScholarPubMed
126. Jordi, J, Herzog, B, Camargo, SM, et al. (2013) Specific amino acids inhibit food intake via the area postrema or vagal afferents. J Physiol 591, 56115621.CrossRefGoogle ScholarPubMed
127. Nakajima, S, Hira, T & Hara, H (2012) Calcium-sensing receptor mediates dietary peptide-induced CCK secretion in enteroendocrine STC-1 cells. Mol Nutr Food Res 56, 753760.CrossRefGoogle ScholarPubMed
128. Mace, O, Schindler, M & Patel, S (2012) The regulation of K- and L-cell activity by GLUT2 and the calcium-sensing receptor CasR in rat small intestine. J Physiol 590, 29172936.CrossRefGoogle ScholarPubMed
129. Behar, J, Hitchings, M & Smyth, RD (1977) Calcium stimulation of gastrin and gastric acid secretion: effect of small doses of calcium carbonate. Gut 18, 442448.CrossRefGoogle ScholarPubMed
130. Villarroel, P, Villalobos, E, Reyes, M, et al. (2014) Calcium, obesity, and the role of the calcium-sensing receptor. Nutr Rev 72, 627637.CrossRefGoogle ScholarPubMed
131. Marette, A & Picard-Deland, E (2014) Yogurt consumption and impact on health: focus on children and cardiometabolic risk. Am J Clin Nutr 99, 1243S1247S.CrossRefGoogle ScholarPubMed
132. Moreno, L, Bel-Serrat, S, Santaliestra-Pasías, A, et al. (2015) Dairy products, yogurt consumption, and cardiometabolic risk in children and adolescents. Nutr Rev 73, 814.CrossRefGoogle ScholarPubMed
133. Karlsson, CL, Onnerfalt, J, Xu, J, et al. (2012) The microbiota of the gut in preschool children with normal and excessive body weight. Obesity 20, 22572261.CrossRefGoogle ScholarPubMed
134. Bervoets, L, Van Hoorenbeeck, K, Kortleven, I, et al. (2013) Differences in gut microbiota composition between obese and lean children: a cross-sectional study. Gut Pathog 5, 10.CrossRefGoogle ScholarPubMed
135. Kalliomaki, M, Collado, MC, Salminen, S, et al. (2008) Early differences in fecal microbiota composition in children may predict overweight. Am J Clin Nutr 87, 534538.CrossRefGoogle ScholarPubMed
136. Arora, T, Singh, S & Sharma, RK (2013) Probiotics: interaction with gut microbiome and antiobesity potential. Nutrition 29, 591596.CrossRefGoogle ScholarPubMed
137. Luoto, R, Kalliomäki, M, Laitinen, K, et al. (2010) The impact of perinatal probiotic intervention on the development of overweight and obesity: follow-up study from birth to 10 years. Int J Obes 34, 15311537.CrossRefGoogle ScholarPubMed
138. Safavi, M, Farajian, S, Kelishadi, R, et al. (2013) The effects of synbiotic supplementation on some cardio-metabolic risk factors in overweight and obese children: a randomized triple-masked controlled trial. Int J Food Sci Nutr 64, 687693.CrossRefGoogle ScholarPubMed
139. Günther, AL, Remer, T, Kroke, A, et al. (2007) Early protein intake and later obesity risk: which protein sources at which time points throughout infancy and childhood are important for body mass index and body fat percentage at 7 y of age? Am J Clin Nutr 86, 17651772.CrossRefGoogle ScholarPubMed
140. Braun, K, Erler, N, Kiefte-de Jong, J, et al. (2016) Dietary intake of protein in early childhood is associated with growth trajectories between 1 and 9 years of age. J Nutr 146, 23612367.CrossRefGoogle ScholarPubMed
141. Hoppe, C, Molgaard, C, Juul, A, et al. (2004) High intakes of skimmed milk, but not meat, increase serum IGF-I and IGFBP-3 in eight-year-old boys. Eur J Clin Nutr 58, 12111216.CrossRefGoogle Scholar
142. Hoppe, C, Udam, TR, Lauritzen, L, et al. (2004) Animal protein intake, serum insulin-like growth factor I, and growth in healthy 2.5-y-old Danish children. Am J Clin Nutr 80, 447452.CrossRefGoogle ScholarPubMed
143. Rogers, I, Emmett, P, Gunnell, D, et al. (2006) Milk as a food for growth? The insulin-like growth factors link. Public Health Nutr 9, 359368.CrossRefGoogle ScholarPubMed
144. Koletzko, B (2006) Long-term consequences of early feeding on later obesity risk. Nestle Nutr Workshop Ser Pediatr Program 58, 118.Google ScholarPubMed
145. Rolland-Cachera, MF, Deheeger, M, Akrout, M, et al. (1995) Influence of macronutrients on adiposity development: a follow up study of nutrition and growth from 10 months to 8 years of age. Int J Obes Relat Metab Disord 19, 573578.Google ScholarPubMed
146. Fall, CH, Clark, PM, Hindmarsh, PC, et al. (2000) Urinary GH and IGF-I excretion in nine year-old children:relation to sex, current size and size at birth. Clin Endocrinol (Oxf) 53, 6976.CrossRefGoogle ScholarPubMed
147. Garnett, S, Cowell, CT, Bradford, D, et al. (1999) Effects of gender, body composition and birth size on IGF-I in 7- and 8-year-old children. Horm Res 52, 221229 Google ScholarPubMed
148. Juul, A, Holm, K, Kastrup, KW, et al. (1997) Free insulin-like growth factor I serum levels in 1430 healthy children and adults, and its diagnostic value in patients suspected of growth hormone deficiency. J Clin Endocrinol Metab 82, 24972502 Google ScholarPubMed
149. Pal, S & Ellis, V (2010) The acute effects of four protein meals on insulin, glucose, appetite and energy intake in lean men. Br J Nutr 104, 12411248.CrossRefGoogle ScholarPubMed
150. Akhavan, T, Luhovyy, BL, Brown, PH, et al. (2010) Effect of premeal consumption of whey protein and its hydrolysate on food intake and postmeal glycemia and insulin responses in young adults. Am J Clin Nutr 91, 966975.CrossRefGoogle ScholarPubMed
151. Bjørnshave, A & Hermansen, K (2014) Effects of dairy protein and fat on the metabolic syndrome and type 2 diabetes. Rev Diabet Stud 11, 153166.CrossRefGoogle ScholarPubMed
152. Hill, DJ & Milner, RD (1985) Insulin as a growth factor. Pediatr Res 19, 879886.CrossRefGoogle ScholarPubMed
153. Dove, ER, Hodgson, JM, Puddey, IB, et al. (2009) Skimmed milk compared with a fruit drink acutely reduces appetite and energy intake in overweight men and women. Am J Clin Nutr 90, 7075.CrossRefGoogle Scholar
154. Dougkas, A, Minihane, AM, Givens, DI, et al. (2011) Differential effects of dairy snacks on appetite ratings, but not overall energy intake. Proc Nutr Soc 70, E131.CrossRefGoogle Scholar
155. Maersk, M, Belza, A, Holst, JJ, et al. (2012) Satiety scores and satiety hormone response after sucrose-sweetened soft drink compared with isocaloric semi-skimmed milk and with non-caloric soft drink: a controlled trial. Eur J Clin Nutr 66, 523529.CrossRefGoogle ScholarPubMed
156. Onvani, S, Haghighatdoost, F, Surkan, PJ, et al. (2016) Dairy products, satiety and food intake: A meta-analysis of clinical trials. Clin Nutr 36, 389398.CrossRefGoogle ScholarPubMed
157. Brindal, E, Baird, D, Slater, A, et al. (2012) The effect of beverages varying in glycaemic load on postprandial glucose responses, appetite and cognition in 10–12-year-old school children. Br J Nutr 110, 529537.CrossRefGoogle ScholarPubMed
158. Mehrabani, S, Safavi, SM, Asemi, M, et al. (2015) Effects of low-fat milk consumption at breakfast on satiety and short-term energy intake in 10- to 12-year-old obese boys. Eur J Nutr 55, 13891396.CrossRefGoogle ScholarPubMed
159. Kling, SMR, Roe, LS, Sanchez, CE, et al. (2016) Does milk matter: is children’s intake affected by the type or amount of milk served at a meal? Appetite 105, 509518.CrossRefGoogle ScholarPubMed
160. Vien, S, Luhovyy, BL, Patel, BP, et al. (2017) Pre- and within meal effects of fluid dairy products on appetite, food intake, glycemia and regulatory hormones in children. Appl Physiol Nutr Metab 42, 302310.CrossRefGoogle ScholarPubMed
161. Green, BP, Stevenson, EJ & Rumbold, PLS (2017) Metabolic, endocrine and appetite-related responses to acute and daily milk snack consumption in healthy, adolescent males. Appetite 108, 93103.CrossRefGoogle ScholarPubMed
162. Andersen, LBB, Arnberg, K, Trolle, E, et al. (2016) The effects of water and dairy drinks on dietary patterns in overweight adolescents. Int J Food Sci Nutr 67, 314324.CrossRefGoogle ScholarPubMed
163. Hendrie, GA & Golley, RK (2011) Changing from regular-fat to low-fat dairy foods reduces saturated fat intake but not energy intake in 4–13-y-old children. Am J Clin Nutr 93, 11171127.CrossRefGoogle Scholar
164. Golley, RK & Hendrie, GA (2012) The impact of replacing regular- with reduced-fat dairy foods on children’s wider food intake: secondary analysis of a cluster RCT. Eur J Clin Nutr 66, 11301134.CrossRefGoogle ScholarPubMed
165. Newby, P, Peterson, K, Berkey, C, et al. (2004) Beverage consumption is not associated with changes in weight and body mass index among low-income preschool children in North Dakota. J Am Diet Assoc 104, 10861094.CrossRefGoogle Scholar
166. Faith, MS, Dennison, BA, Edmunds, LS, et al. (2006) Fruit juice intake predicts increased Adiposity gain in children from low-income families: weight status-by-environment interaction. Pediatrics 6, 20662075.CrossRefGoogle Scholar
167. Tam, CS, Garnett, SP, Cowell, CT, et al. (2006) Soft drink consumption and excess weight gain in Australian school students: results from the Nepean study. Int J Obes 30, 10911093.CrossRefGoogle ScholarPubMed
168. Johnson, L, Mander, AP, Jones, LR, et al. (2007) Is sugar-sweetened beverage consumption associated with increased fatness in children? Nutrition 23, 557563.CrossRefGoogle ScholarPubMed
169. Kral, TVE, Stunkard, AJ, Berkowitz, RI, et al. (2008) Beverage consumption patterns of children born at different risk of obesity. Obesity (Silver Spring) 16, 18021808.CrossRefGoogle Scholar
170. Fiorito, LM, Marini, M, Francis, LA, et al. (2009) Beverage intake of girls at age 5 y predicts adiposity and weight status in childhood and adolescence. Am J Clin Nutr 90, 935942.CrossRefGoogle Scholar
171. Huus, K, Brekke, HK & Ludvigsson, JF (2009) Relationship of food frequencies as reported by parents to overweight and obesity at 5 years. Acta Paediatr 98, 139143.CrossRefGoogle ScholarPubMed
172. Lin, SL, Tarrant, M, Hui, LL, et al. (2012) The role of dairy products and milk in adolescent obesity: Evidence from Hong Kong’s “Children of 1997” birth cohort. PLOS ONE 7, e52575.CrossRefGoogle ScholarPubMed
173. Gibbons, M, Gilchrist, N, Frampton, C, et al. (2004) The effects of a high calcium dairy food on bone health in pre-pubertal children in New Zealand. Asia Pac J Clin Nutr 13, 341347.Google Scholar
174. DeJongh, ED, Binkley, TL & Specker, BL (2006) Fat mass gain is lower in calcium-supplemented than in unsupplemented preschool children with low dietary calcium intakes. Am J Clin Nutr 84, 11231127.CrossRefGoogle ScholarPubMed

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