Overweight and obesity have increased during the last few decades in Switzerland as in many other Western countries. In Switzerland, the number of overweight people aged 15–74 years increased from 24·9 % in 1992 to 29·4 % in 2002(Reference Eichholzer, Bernasconi and Jordan1). The long-term consequences of obesity are numerous. It is a well-known risk factor for type 2 diabetes mellitus(Reference Golay and Ybarra2), CVD(Reference Kopelman3, Reference Mathew, Francis and Kayalar4) and for increased death rates of cancer(Reference Kopelman3, Reference Calle, Rodriguez and Walker-Thurmond5). Accordingly, general and abdominal adiposity are associated with a higher risk of death(Reference Pischon, Boeing and Hoffmann6).
More and more children and adolescents are overweight(Reference Adair7, Reference Mohler-Kuo, Wydler and Zellweger8) and the prevalence of type 2 diabetes, which has traditionally been considered a disease for middle-aged and elderly adults, has increased considerably among adolescents and children(Reference Shaw9). In addition, food habits adopted in childhood and adolescence are likely to extend into adulthood(Reference Mikkila, Rasanen and Raitakari10) and overweight adolescents have a twofold greater risk for being overweight as adults(Reference Must11). Consequently, it is of great importance to prevent excessive weight gain in adolescents and to identify associated factors that are amenable to intervention and preventive actions.
Lifestyle changes towards energy-rich food at the expense of fruit and vegetables and reduction of daily physical activity have resulted in an imbalance between energy intake and expenditure and finally in a weight gain(Reference Stubbs and Lee12). A negative trend in daily fruit and vegetable consumption among Swiss residents aged 15–24 years has been reported(Reference Roland, Marilina and Renaud13), and a clear decrease in sports activity, more marked in women (82–69 %) than in men (86–79 %), has been observed among Swiss adolescents between 1993 and 2002(Reference Suris, Michaud and Chossis14). A major obstacle for physical activity is dissatisfaction with body weight in women, but not in men(Reference Haines and Neumark-Sztainer15). In fact, overweight women are stigmatised to a higher degree than men and peer victimisation is a barrier to physical activity(Reference Tang-Peronard and Heitmann16).
The Swiss Society for Nutrition(17) recommends two portions of fruits, three portions of vegetables and three portions of dairy products every day. No more than five portions of meat and at least one portion of fish should be consumed per week. These recommendations are in agreement with the WHO diet guidelines(18). Although a low adherence to nutritional guidelines has been reported in other countries (Reference Neumark-Sztainer, Story and Hannan19–Reference Guenther, Dodd and Reedy21), to our knowledge, it has never been investigated whether Swiss resident youth follow the current recommendations for nutrition.
The aims of our study are to assess the extent to which Swiss residents aged 15–24 years follow the current nutritional guidelines and whether differences exist between overweight and normal weight people concerning adherence to these guidelines. In addition, we compare overweight and normal weight youth regarding physical activity and attitude towards body weight, because these are important factors related to weight differences(Reference Haines and Neumark-Sztainer15, Reference Deforche, De Bourdeaudhuij and Tanghe22).
We hypothesise (i) that only a minority completely fulfil the nutritional recommendations, since a low adherence to current nutritional guidelines has been reported in other countries(Reference Neumark-Sztainer, Story and Hannan19–Reference Guenther, Dodd and Reedy21) and (ii) that overweight youth follow the guidelines to a lower extent than do normal weight youth.
Methods
Population
Data were derived from The Swiss Health Survey 2007, a nationally representative survey of Swiss residents aged 15 years or more (n 18 760, response rate 66 %), conducted by the Swiss Federal Statistical Office every 5 years. The study sample was chosen by stratified random sampling of a database of all private Swiss households with a landline telephone connection. Stratification was made by region, canton and household. The number of households was proportionate to the population of the canton.
Telephone interviews were conducted during 2007 in order to obtain results taking into account seasonal variations. One member of each household was randomly selected and received an invitation letter to participate in the survey. The selected person was questioned either by computer-assisted telephone interview or face-to-face for people over 74 years, if preferred. The interview was carried out in French, German and Italian, the three most used national languages of Switzerland. If the selected person was absent or unable to answer for linguistic or medical reasons, the interview was conducted by proxy. The participants were then asked to complete an additional written questionnaire. Data were assessed using a computer-assisted telephone interview.
Dependent variable
For our study, we used data from people aged 15–24 years completing the telephone interview, excluding twelve men and fifteen women not reporting their weight and height (n 1786, 48·4 % women). We divided the sample into three groups: overweight, normal weight and underweight using the BMI (weight (kg)/height2 (m2)) that was calculated from self-reported weight and height. For people aged ≥ 18 years, underweight was defined as a BMI < 18·5 kg/m2, normal weight as a BMI ≥ 18·5 kg/m2 and <25 kg/m2 and overweight as a BMI ≥ 25 kg/m2. For people aged < 18 years, groups were defined according to the tables of Kromeyer–Hauschild et al.(Reference Kromeyer-Hauschild, Wabitsch and Kunze23) for age and sex. For our study, we first compared by gender, and then between overweight and normal weight people, excluding those who were underweight (n 129, 71·6 % women).
Independent variables
For dietary habits, participants were dichotomised according to whether they followed the current recommendations for nutrition(17, 18) or not. According to the possible answers in the questionnaire, we defined recommendations as at least one to two portions per day of fruit or fruit juice and at least three to four portions per day of vegetables or vegetable juice, considering a portion as the size of a fist (∼ 120 g). Meat and sausages should not be eaten more than five times a week and fish at least once a week. Three portions per day of milk or dairy products are recommended, defining a portion as either 200 g of cream cheese/cottage cheese or 30–60 g of hard cheese or a medium-sized cup of yoghurt.
To measure the level of physical activity, we created the variable physical activity leading to breathlessness by summing up the number of days per week on which participants were reported to be involved in such activity during at least 30 min. Then the participants were dichotomised into involved in physical activity leading to breathlessness on at least 4 days a week or not, referring to the recommendation of moderate-intensity physical activity of at least 30 min on most days of the week(24, Reference Martin-Diener25).
To analyse participants’ attitude towards body weight, we used three dichotomous variables: satisfaction with body weight, wishing to lose weight and having been on a diet to lose weight during the past 12 months.
We also assessed several other factors that are known to be associated with overweight. Depressed adolescents have been shown to be at increased risk for the development and persistence of obesity during adolescence(Reference Goodman and Whitaker26), and therefore we assessed the presence or absence of a major depressive disorder using the index of the Swiss Federal Statistical Office for major depressive disorder elaborated from the Composite International Diagnostic Interview Short From(Reference Kessler, Andrews and Mroczek27). The dichotomous variable, daily smoker, was used to assess smoking habits, since a relationship between smoking and a higher risk for overweight has been shown(Reference Fasting, Nilsen and Holmen28). As an association between overweight and alcohol consumption has been found in other studies(Reference Croezen, Visscher and Ter Bogt29, Reference Schroder, Morales-Molina and Bermejo30), we assessed alcohol consumption by classifying participants who had a daily alcohol consumption as daily drinkers, those who drank at least once a week (but not daily) as regular drinkers and those consuming less than once a week (including those who never drink) as light drinkers. No woman reported consuming alcohol every day, and therefore we only had two groups for women (regular and light drinkers).
Finally, we controlled for age, nationality (Swiss/other) and residence area (urban/rural) because these are potential confounders(Reference Gordon-Larsen, Adair and Nelson31, Reference Kumanyika32).
Statistics
First, we performed a bivariate analysis to compare the adherence to nutritional guidelines between women and men. Then, bivariate analyses were performed with all factors involved to compare overweight to normal weight people (excluding those who were underweight), using χ 2 tests to analyse categorical data and t tests for continuous data. All analyses between overweight and normal weight youth were conducted separately by gender, because differences between men and women in exposure and vulnerability to risk factors for overweight have been reported(Reference Sweeting33). Given that standard procedures for automatic variable selection in regressions such as backward and stepwise selection are known to produce unstable and non-reproducible results(Reference Austin and Tu34), we selected all important factors using a bootstrap procedure. A total of 1250 bootstrap samples were generated for women and for men and a backward selection procedure was applied on each of them. Variables retained in at least 60 % of the replications were selected for inclusion in the logistic regression analysis(Reference Austin and Tu35). Results are given as adjusted OR (AOR) with 95 % CI using the normal weight group as the reference category.
We used the Stata 10 statistical software package (StataCorp LP, College Station, TX, USA) for bivariate and multivariate analyses (as it allows one to compute coefficient estimates and variances taking into account the sampling weights) and MATLAB 7·1 (The MathWorks Inc., Natick, MA, USA) for the bootstrap variable selection. Significance level was set at 0·05.
Results
Bivariate analyses
Comparing adherence to nutritional guidelines by gender
There were significantly more women than men who followed the nutritional guidelines for fruit, vegetables and meat, whereas more men followed the recommendations for dairy products. There was no significant difference for the consumption of fish (Table 1).
Comparison of adherence to nutritional guidelines by gender
*The sample size for each analysis varies between 812 and 865 due to missing data when questions were answered by proxy.
†The sample size for each analysis varies between 860 and 921 due to missing data when questions were answered by proxy.
Overweight v. normal weight women
In all, 8 % of women were overweight (n 67). Compared to normal weight women, they were significantly older and consumed fewer vegetables. In fact, only 4·2 % reported eating a minimum of three portions per day compared to 18·1 % of those of normal weight. In contrast, there were no significant differences between the two groups for the intake of fruit, meat, fish and dairy products. In fact, dairy products consumption was very low in both groups, with only about 10·0 % consuming three portions per day.
No difference was found for physical activity leading to breathlessness.
Concerning the attitude towards body weight, overweight women were significantly less satisfied with their body weight, more likely to wish to lose weight and had more often been on a diet.
There were no significant differences for depression, smoking and alcohol consumption (Table 2).
Comparison of adherence to nutritional guidelines, physical activity, attitude towards body weight and other obesity-associated factors between normal weight and overweight women
*The sample size for each analysis varies between 658 and 705 due to missing data when questions were answered by proxy.
†The sample size for each analysis varies between 62 and 67 due to missing data when questions were answered by proxy.
‡Variables retained in at least 60 % of replications in the bootstrap analysis (1250 replications).
Overweight v. normal weight men
In all, 15 % of men were overweight (n 139). They were significantly older, but there were no significant differences in the consumption of the diverse food categories. For both groups, the consumption of vegetables and dairy products was very low. Only 13·4 % of those who were overweight and 10·7 % who were of normal weight consumed the recommended amount of vegetables and dairy products (17·0 % and 19·2 %, respectively).
There was no difference between the two groups for physical activity leading to breathlessness.
Overweight men were significantly less satisfied with their body weight, more likely to wish to lose weight and had more often been on a diet than normal weight men.
We found no difference for depression and smoking, but there were significantly more overweight men (11·6 % v. 1·2 %) who reported consuming alcohol every day (Table 3).
Comparison of adherence to nutritional guidelines, physical activity, attitude towards body weight and other obesity-associated factors between normal weight and overweight men
*The sample size for each analysis varies between 697 and 746 due to missing data when questions were answered by proxy.
†The sample size for each analysis varies between 124 and 139 due to missing data when questions were answered by proxy.
‡Variables retained in at least 60 % of replications in the bootstrap analysis (1250 replications).
Multivariate analyses
When controlling for possible confounders (age, nationality and residence area), overweight women still consumed less vegetables (AOR = 0·18 (95% CI 0·05, 0·72)), were less satisfied with their body weight (AOR = 0·11 (95% CI 0·05, 0·24)) and had more often been on a diet (AOR = 3·77 (95% CI 1·55, 9·20)). Overweight men were less likely to be satisfied with their body weight (AOR = 0·49 (95% CI 0·28, 0·87)) and more likely to want to lose weight (AOR = 10·66 (95% CI 6·00, 18·94); Table 4).
Results of the multivariate analysis comparing normal weight (reference category) and overweight youth after controlling for age, nationality and residence area
It is interesting to note that some variables that were significant at the bivariate level (want to lose weight in women and has been on a diet in men) were not retained for the multivariate analysis by the bootstrap procedure. This indicates that these variables are too closely related to the particularities of our sample and that generalising the results to the entire population does not make sense. Thus, they were not included in the multivariate analysis.
Discussion
In our study population, the overall prevalence of overweight was 11·5 %, with more men (15 %) than womens (8 %) being overweight. This prevalence is similar to the national data reported among 20-year-olds in 2003(Reference Mohler-Kuo, Wydler and Zellweger8), but lower than other European data in similar age groups(Reference Leyk, Ruther and Wunderlich36, Reference Garcia-Alvarez, Serra-Majem and Ribas-Barba37), which also show higher prevalence rates for men than for women. The fact that our data were self-reported could explain these differences.
Nutritional guidelines
Confirming our first hypothesis, the adherence to current nutritional guidelines was generally low. Except for dairy products and fish, women had a higher adherence to nutritional guidelines than men. These results are in line with other studies that found women to have healthier eating patterns and stronger beliefs in healthy eating than men, and to be more likely to follow nutritional recommendations(Reference Wardle, Haase and Steptoe38). In addition, it has been suggested that some foods are gender-related. Meat, for example, represents strength and virility(Reference Kiefer, Rathmanner and Kunz39) and might be therefore preferred by men, as in our study, where men were less likely to restrict their meat consumption to five or less portions a week as recommended.
Similar to our findings, other studies have already shown a lower dairy product consumption among women(Reference Neumark-Sztainer, Story and Hannan19), most likely because they are considered energy-rich. As women more often tend to have unhealthy weight-control behaviours than men, they are at increased risk for dietary inadequacy leading to a decreased intake of nutrients such as iron and calcium(Reference Neumark-Sztainer, Hannan and Story40). Men had a higher consumption of dairy products than women, but their consumption was nevertheless very low. The fact that so few participants were consuming the recommended amount of dairy products is of great concern. An adequate calcium intake is a protective factor for osteoporosis and adolescence and early adulthood is a crucial time for maximising the physiological potential for bone mineralisation(Reference Lytle and Kubik41). During the transition from adolescence to adulthood, a decrease in daily intake of calcium has been reported in a recent longitudinal study(Reference Larson, Neumark-Sztainer and Harnack42). Hence, nutrition intervention programmes are needed to increase dairy product intake among young people.
The overall low consumption of vegetables is in accordance with other studies in which only 40 % of US children and adults ate an average of five portions of fruit and vegetables a day(Reference Guenther, Dodd and Reedy21) and fewer than one in ten adolescents and adults met their energy-specific MyPyramid fruit or vegetable recommendations(Reference Kimmons, Gillespie and Seymour20).
Overweight women had the lowest vegetable consumption of all. A similar result was found in another study in which an association between low vegetable consumption and high BMI was found in women, but not in men(Reference te Velde, Twisk and Brug43). However, the role of fruit and vegetables in the prevention of overweight is not clearly established. A review of the epidemiological literature for children and adults showed that some studies found an association between high fruit and vegetable consumption and low BMI, whereas others had not found such an association(Reference Tohill, Seymour and Serdula44). Nevertheless, the low vegetable intake among overweight women in our study could be an indicator for a generally different eating pattern, with low vegetable consumption as part of an energy-rich diet leading to overweight.
Given the overall low vegetable consumption, the question comes up whether the recommended three portions per day are feasible. The literature indicates a positive impact of fruit and vegetables on health, diminishing CVD and certain types of cancer(Reference Heber45), as well as an inverse association with stroke, blood pressure and diabetes mellitus(Reference Bazzano46). However, to fulfil the recommendations, fruit and vegetables have to be integrated consciously in the daily diet, perhaps a particularly difficult issue for young people. The consumption of fruit is higher, probably because they are often eaten between meals. Fruits can be consumed without preparation, while many vegetables have to be cooked or somehow prepared before eating. Moreover, their preparation demands more cooking skills and time,(Reference Kristjansdottir, Thorsdottir and De Bourdeauhuij47) and therefore vegetable consumption seems probably less time- and cost-effective for young people than pre-cooked foods. In addition, it may also be that vegetables are not among the preferred tastes of young people. In fact, it has been reported that the recommended healthy foods are more expensive than energy-dense sweet and fat foods(Reference Monsivais and Drewnowski48). A diet according to the current nutritional guidelines is therefore more expensive than an unhealthy one and this is probably an additional barrier for young people to consume healthy food. Further research is needed to assess how to make nutritional guidelines for fruit and vegetables more adaptable to young people’s daily life.
Our second hypothesis that overweight people had a lower adherence to nutritional guidelines than normal weight people was not confirmed. In fact, there were no significant differences in the adherence to nutritional guidelines between overweight and normal weight youth, apart from the lower vegetable consumption for overweight women. This result could be explained by current theories of inter-individual genotypic differences in susceptibility to overweight. In fact, it has been shown(Reference Bouchard49) that there are large individual differences in the responsiveness to energy-balance manipulations, making certain genotypes more sensitive to weight gain than others.
Physical activity
As in other studies(Reference Suris, Michaud and Chossis14, Reference Cavadini, Decarli and Grin50) we found women to have a lower level of physical activity than men. Gender-related perceived benefits and barriers to physical activity have been largely described in the literature: for women, important motives for physical activity are to stay in shape and to be healthier, whereas for men it is mostly to improve athletic skills(Reference Robbins, Sikorskii and Hamel51). Body dissatisfaction was shown to be the major barrier to physical activity in women but not in men(Reference Haines and Neumark-Sztainer15).
Surprisingly, there were no significant differences between overweight and normal weight in either gender regarding the level of physical activity leading to breathlessness. Nevertheless, we believe that this result does not allow us to conclude that overweight and normal weight people in our study had the same level of physical activity. It has been described in the literature that even a modest increase in body weight significantly worsens exercise performance(Reference Gibson52) and therefore overweight people become breathless more easily. However, an association between overweight and physical activity has not constantly been shown in the literature. Deforche et al.(Reference Deforche, De Bourdeaudhuij and Tanghe22) showed that overweight and obese adolescents had a lower sports participation and Ekelund et al.(Reference Ekelund, Neovius and Linne53) found physical activity to be related to BMI in men, but not in women. These contradictory findings could also be due to methodological differences, as self-reported physical activity is likely to be different from objectively measured physical activity and overweight women in particular tend to over-report their physical activity level(Reference McMurray, Ward and Elder54).
Attitude towards body weight
In our study, more overweight than normal weight men wished to lose weight, but they had not been on a diet more often. In fact, dieting is known to be more common in women than in men(Reference Neumark-Sztainer and Hannan55), and gender differences in weight-control behaviour are probably related to the fact that men have less knowledge of nutritional recommendations and are less aware of the association between nutrition and health than women(Reference Kiefer, Rathmanner and Kunz39).
Although more overweight than normal weight men were dissatisfied with their body weight, there was also an important number of overweight men satisfied with their weight. In fact, more than two-thirds of men who were actually overweight reported being satisfied with their body weight. These results are in line with previous studies, indicating that men are likely to underestimate their weight status and that overweight prevention programmes possibly failed because overweight men did not realise the need to change their lifestyle to lose weight(Reference Kuchler and Variyam56).
Thus, misperception of weight status is an important factor that has to be taken into account when elaborating health policies.
Women, on the other hand, are more at risk for overestimating their weight status and might be therefore more prone to unnecessary dieting(Reference Paeratakul, White and Williamson57). In our study, about three in ten normal weight women were dissatisfied with their body weight and 45·7 % of normal weight women wished to lose weight. As dieting increases the risk for disordered eating, and body dissatisfaction is related to physical inactivity, these women are probably at greater risk for developing disordered eating or overweight(Reference Haines and Neumark-Sztainer15).
Depression, smoking and alcohol consumption
Contrary to other studies(Reference Goodman and Whitaker26, Reference Fasting, Nilsen and Holmen28), we found no association between overweight and depression and smoking. In the bivariate analysis, daily alcohol consumption was significantly higher among men, in line with other studies reporting heavy alcohol intake to be positively related to overweight and obesity(Reference Croezen, Visscher and Ter Bogt29). In our study, however, daily alcohol consumption did not stay significant after controlling for possible confounders in the multivariate analysis.
Strength and limitations
The main strength of our study is that it is based on a nationally representative sample of Swiss resident youth that allowed us to take into account all socio-economic backgrounds. However, there are some limitations. First, its cross-sectional design does not allow for causal analysis. Second, there were no questions about beverages and snacking, and therefore it was not possible to analyse the whole eating pattern. Third, data were self-reported, which could lead to bias, especially for weight and height. Paccaud et al. showed that, on average, weight was lower and height was greater than measured, leading to an underestimation of BMI when self-reported(Reference Paccaud, Wietlisbach and Rickenbach58). In addition, about 1·5 % were excluded from our study because they did not report height or weight and it has recently been shown among schoolchildren that those with missing values for BMI tended to have a poorer body image and poorer health behaviours(Reference Fonseca, de Matos and Guerra59). Finally, socially desirable answers cannot be excluded as a source of bias.
Conclusions
The overall adherence to nutritional guidelines was low, in particular for dairy products and vegetables. As dairy products are especially important for young people, additional research should assess how to increase their consumption. We assume that an intake of three portions of vegetables a day is difficult for young people, and therefore further research is needed to explore how nutritional guidelines could be better adapted to young people’s daily life.
Clinicians should keep in mind that it is not only overweight youth who are at risk for unhealthy eating patterns and dieting, but also their normal weight peers, especially women. A balanced diet with a sufficient amount of vegetables and dairy products has to be encouraged.
From a public health point of view, prevention programmes to fight overweight should target youth specifically by gender. Overweight women should be encouraged to eat more vegetables, whereas men should generally be sensitised about healthy food. Furthermore, health professionals should help young people develop a better view of their own weight status. Certainly, the first step towards a healthy weight-control behaviour is an appropriate self-perception.
Acknowledgements
The Swiss Health Survey is funded by the Swiss Federal Statistical Office. The study received no additional funding. The funding body had no role in the design and conduct of the study, in the analysis and interpretation of the data or in the preparation, review or approval of the manuscript. The authors declare no conflict of interest. M.M., J.-C.S., C.A., A.B. and P.-A.M. designed the study. The Swiss Federal Statistical Office helped the implementation and co-ordination of the Swiss Health Survey and the data were collected by the MIS-Trend SA Institute, Lausanne, Switzerland. M.M., A.B. and J.-C.S. analysed and interpreted the data. M.M. and J.-C.S. were responsible for drafting of the manuscript. J.-C.S., C.A., A.B. and P.-A.M. did the critical revision of the manuscript. Statistical analyses were performed by M.M., A.B. and J.-C.S.
