The sustainable development goals 2030 created in the year 2015 by the United Nation organisation imply that each of the 193 member states should do substantial efforts and undertake actions to reduce the stunting, wasting and anaemia, indicators of hunger by 50 % by the year 2030 (SDG, 2030)(1). The economic cost of hidden hunger, represented by Fe-deficiency anaemia, Zn deficiency, vitamin A deficiency and iodine amount to a loss of 2·5% of the Indian gross domestic product(Reference Stein and Qaim2). The most commonly used strategies to combat Fe deficiency are the provision of Fe supplements as FeSO4, which have limited significant impact on BMI(Reference De-Regil, Jefferds and Peña-Rosas3–Reference Paganini and Zimmerman8), health and nutritional status among adolescents in low- and middle-income countries(Reference Salam, Das and Ahmed9). Currently, there is general agreement that Fe fortification of low bioavailability diets had limited effect on Fe status(Reference Garcia-Casal, Peña-Rosas and De-Regil10,Reference Hoppe, Hulthén and Hallberg11) . Meanwhile, the higher food synergy of animal-sourced foods (ASF) render them superior in raising the low bioavailability of dietary Fe relative to the respective technologically reduced Fe-fortified cereal products(Reference Jacobs, Gross and Tapsell12). ASF consumption indicator associated negatively with stunting in studies involving 30 000 children in sixty-one countries from five continents(Reference Headey, Hirvonen and Hoddinott13). ASF-based supplementation to young children increased weight by ≤ 0·14 kg and the height-for-age Z score by +0·06 and are considered the optimum option for improving nutritional quality of a largely plant-source based diet.(Reference Pimpin, Kranz and Liu14). Supplementing the meals of African children with cooked beef improved their growth, cognitive and behavioural outcomes(Reference Neumann, Murphy and Gewa15–Reference Balehegn, Mekuriaw and Miller18). The intake of animal products is usually constrained by their cost, but the edible internal organs, which makes considerable proportion of the carcass weight of chicken and farm animals are highly nutritious at reasonable prices(Reference Seong, Cho and Park19). Chicken liver contains high Fe content, when compared with the Fe levels in beef liver (29·3–66·71 mg/kg)(78). The absence of vitamin A deficiency among South African preschool children is due to the common consumption of 60–75 g of liver per month(Reference vanStuijvenberg, Schoeman and Nel20). World’s frozen chicken liver with average price of 540–560 US$ per metric tons (1000 kg) is far much cost effective than the respective price of 143 US$ for one single package of American fortified maize soyabean flour blend, required for the dietary management of an African malnourished child for a duration of 2–3 months(Reference Lagrone, Trehan and Meuli21).
The objective of the present study is to develop and formulate a nutrient dense ready to eat chicken liver–beef balls to end hidden hunger among pre- and school aged children, with particular emphasis on improving their growth and cognitive outcomes.
Materials and methods
Ingredients of the liver meat recipe were purchased from the retail market and prepared in a batch of 110 kg. They included chicken liver, bovine meat, rice flour, together with other vegetables. The chicken liver was heated gently until water drainage ceased. The edible parts of carrots, garlic, onions and tomato were obtained by peeling followed by appropriate washing with tap water. The eight ingredients (Table 1) were homogenised electrically in a meat grinder and the resulting dough was shaped into round balls about 3 cm in diameter and fried in deep oil. The fried liver meat balls (LMB) were weighed, packed in paper bags and stored refrigerated for subsequent use.
Ingredients used for preparing ready to eat liver meat balls
LE, Egyptian pounds.
Participating children
Preschool children aging 36–71 months were recruited from a child care centre (Kinder Garten) and children aging 73–118 months were recruited from a primary school located in urban Giza governorate.
Criteria for inclusion was the absence of gastro-intestinal disorders, no use of antibiotics during the last 3 months prior to the study; the taste of the LMB was acceptable to the child; the mother was willing to complete the dietary assessment sheet and to collect stool and urine samples from her own child at predetermined dates.
Design of the study
The dietary intervention trial consisted of randomised controlled trial on sixty children. The children were assigned randomly into two age-matched equal groups: group 1 (36–< 72 months) and group 2 (≥ 72 months). Each group was subdivided into two subgroups: the first served as control and did not receive any supplement; while the second subgroup had a serving of LMB. The serving size was one LMB ball to children < 72 months; while the respective service size was two LMB balls for children ≥ 72 months. Serving was three times a week on Sundays, Tuesdays and Thursdays with a total of forty-five servings throughout the 3 months (90 d) duration of the trial.
Anthropometric measurements
The age and sex of the child were obtained from the birth certificate; body weight and standing height measurements were taken, while the child was with the light clothes and bare footed. Based on the data on age, sex, body weight and height for each child, the respective three nutrition indices of physical growth: weight-for-age Z score, height-for-age Z score (HAZ) and weight-for-height Z score were computed by the EPIINFO software program. The child whose weight-for-age Z score measures below (–2·0) was underweight for his age. The HAZ index identifies linear growth and the child whose HAZ was below (–2·0) from the WHO child growth standards reference population was considered short for his age or stunted. The weight-for-height Z score measures body mass in relation to body length and the child whose weight-for-height Z score below (–2·0) was thin for his height(22).
The BMR was computed in mega joules (MJ) using the following equations(Reference Schofield, Schofield and James23). Boys 3–10 years = 0·095 ×body = weight + 2·11.
Girls 3–10 years = 0·085 × body weight + 2·03.The BMR was expressed in kcal from the relation 1 MJ = 4180 kcal.
Dietary intake assessment
Three 24-h dietary recalls were collected on non-consecutive days from the mother of each child. The mothers recalled all foods and beverages consumed at home and at the day care centre or school throughout the previous 24 h (beginning from morning meal on the day before up to the morning meal on the day of the interview). All mothers were then asked to estimate the quantities of the mentioned foods and to state the ingredients used for preparing the dishes and their respective quantities. To facilitate the quantity estimates, standardised household measures (cups, plates and bowels) were provided by the interviewer and marked with several levels to indicate different contents. Raw ingredients were converted from household measures to weight estimates by taking reference weights, calculated on the basis of the average of weights on a digital weighing scale. A trained dietician instructed parents, checked the data and supervised inconsistencies and completeness of the records and was responsible for coding and computer entry of the consumption data. A raw data set for each child contained records with food codes and day, meal, quantity (g or ml), food item and its food code. The food intake data were converted into weights and the combined data were converted into respective energy and estimated nutrient intakes using the data values from the precise Egyptian food composition table (unpublished data) and other food data bases as needed(Reference Seong, Cho and Park19). Calculation of nutrient intake and food group consumption was performed using a software application, specifically developed for processing of dietary data.
To determine the adequacy of daily nutrient intake by a sample individual, the child’s daily nutrient intake was compared with the respective age and sex-specific FAO/WHO essential minerals and vitamins(Reference vanStuijvenberg, Schoeman and Nel20) for expressing the individual daily intake of a nutrient into the respective probability of nutrient adequacy (PA). The percentage of reference for each nutrient was capped at 100 % daily value to avoid overvaluing by single nutrient.
Validation test
Ratios of estimated daily energy intake (mjoules/ BMR MJ) below 0·70 or above 1·80 were excluded from the calculation and the dietary assessment was repeated.
Cognitive function
Wechsler Intelligence Scale for 3–5 years (grades Kinder Garten) through 10 years was carried out according to the standard methodology using the detailed instructions(Reference Lagrone, Trehan and Meuli21). The test identifies how a child’s performance compares to age or grademates. It identifies specific skill strengths and deficits. A battery of cognitive verbal (three subtests) and performance or practical subtests were used. The verbal subtests included word reading, reading comprehension, oral listening, oral expression such as question answering and story generation, summarisation, attention difficulties and concentration difficulties or comprehension of written and spoken language and word fluency. Skill measures included picture completion; the child was asked to find the missing parts in a picture of familiar objects and people and the test is said to reflect visual alertness as well as visual recognition and identification (long-term visual memory). Age-based normative data was used and the total raw score from each of the subtests was transferred to the respective standard score for each subtest to obtain a weighted raw score. The composite standard scores were calculated by summing the subtest standard scores.
Measurements and sample collection
Chemical analysis of the LMB moisture content, protein, fat and ash was determined according to the Association of Official Agricultural Chemists method(22). Moisture was determined by heating the samples in an oven at 102°C until a constant weight was attained. The protein level was determined using the Kjeldahl method for determining nitrogen content and multiplying this by 6·25. After acid hydrolysis, the fat was extracted with ether using a Soxhlet apparatus. Ash was obtained by incineration at 500–550°C until the ash was carbon-free. The carbohydrate content was determined by difference. The energy density was calculated by multiplying the protein and total carbohydrate content by 16·736 kJ and adding the result to the fat content multiplied by 37·656 kJ.
Laboratory investigations
Determination of blood Hb
Blood samples were collected at baseline (day 0) and endpoint (day 90) by a finger prick. Blood Hb concentration was measured in 20 µl whole blood by the direct cyanmethemoglobin method (Drabkin’s solution) and a photometer at 540 nm (Table 2).
Hb concentrations (g/l) used to diagnose anaemia(Reference Schofield, Schofield and James23)
Assay of faecal Ig-A
At baseline (before the beginning of the randomised controlled trial) and at endpoint (day 22), each child was asked to collect stool sample into a container and an aliquot was immediately frozen at –20°C for later immunological assay.
The (faecal s-IgA) is the major Ig synthesised in the colonic mucous membrane and plays a major role in preventing adherence of pathogenic microorganisms to mucosal sites, and protects against gastrointestinal infections. The s-IGA was assayed by the Chrom ELISA kit (Bio Vender research Diagnostics, Cat # RIC6100, Germany) and was used according to the instruction of the manufacturer. Weighed faecal portions (80–120 mg) were suspended in 10-fold excess (1·5 ml) physiological phosphate buffer, vortexed and centrifuged at 13 000 rpm for 5 min. The supernatant was diluted 1:250 in wash buffer. Standards, controls and stool samples were simultaneously run in the ELISA and the concentration of s-IgA was read at 405 nm in ELISA reader against a standard curve and the results were expressed as mg faecal S-IgA per gram stool.
Urine analysis
Each child was asked after evacuating morning urine to collect void urine sample, which was labelled and saved frozen for subsequent laboratory investigations.
Analysis of urinary total hydroxyproline excretion
Hydroxyproline (HPRO) is a collagen-related marker as it is present in all fibrillar collagens and tissue breakdown contributing to urinary HPRO. Urinary hydroxyproline index (HPRO-I) is a potential biomarker with high prognostic value before growth spurt with cut-off point of ≥ 2·5 ± 0·9 among normal children. This biomarker assists in making the prospect of catch-up growth rate over short periods of time and in close monitoring of treatment regimens.
The determination of total urinary (U-HPRO) is based on the colorimetric reaction of Ehrlich(Reference McCance and Widdowson24). Urine aliquots (100 µl) were hydrolysed in 10 × 1·5 cm pyrex tubes with screw caps with equal volume of 12 normal hydrochloric acid by heating at 125°C for 2 h. Upon cooling, the pH of the acid hydrolysate was adjusted to 6·0 by the addition of buffer solution. The standard hydroxyproline, the blank and the urine samples were subjected to colour reaction, which is based on the formation of pyrole derivative with tosylchloramine. The pink colour developed with p–aminobenzaldehyde was read at 560 nm, and the results were expressed as μg total HPRO per ml urine.
Urinary creatinine excretion
The classical alkaline picric acid and sodium hydroxide reagent were used(25).
The U-HPRO excretion was expressed as total hydroxyproline/creatinine(mmol/mol). The urinary hydroxyproline index (U-HPRO-I) = U-HPRO creatinine ratio/kg body weight(Reference Smith26).
Measuring of urinary iodine
Measurement of iodine concentrations from casual urine is now widely accepted as the best and most cost-effective way of monitoring iodine deficiency in a community, with an iodide excretion below the cut-off point of 0·79 µM iodine/l (100 µg/l) of urine is considered to be at risk of a marginal iodine supply and therefore of goitre and other iodine deficiency disorders. The determination of urinary iodine by ICCIDD(27) urine aliquots (250 µl) was digested in 10 × 1·5 cm pyrex tubes with screw caps with ammonium persulfate in a heating block at 100° for 60 min. The catalytic properties of the liberated iodine were used for the reduction of ceric ammonium sulphate in the presence of arsenious acid, and the yellow colour was measured at 430 nm. A standard curve prepared from potassium iodate solution (10–80 ppm) was used for calculating the urinary iodine. Quality control for iodine was maintained by including reagent blanks to monitor contamination and estimate detection limits.
Determination of urinary thiobarbituric acid
Urinary malondialdehyde excretion is a valid biomarker for the oxidative stress of the body to lipid peroxidation, which is assayed by the thiobarbituric acid reactive species (TBARS). Colorimetric method(28) and the results were expressed as urinary thiobarbituric acid creatinine ratio (mg/g).
Statistical analysis
Descriptive statistics were obtained for all variables and outcome variables stratified by age groups: < 72 and ≥ 72 months. The Whisker box plots of each variable were classified according to age group and dietary treatment. The boxes indicate 25th to 75th percentiles, with mean relative abundances marked as lines and whiskers indicating the range (minimum/maximum) from the boxes. Statistical tests for the distribution of the variable were calculated and compared according to categories based on the Kruskal–Wallis test for continuous variables. Spearman correlation coefficients were used to measure the correlation.
Results
The composition of the liver meat balls supplement
Table 3 presents the composition of the macronutrients and selected minerals, trace elements and vitamins of the LMB.
Composition of liver meat balls (LMB) and contribution to the daily diet (3 d/week)
Characteristics of participants at baseline and after supplementation with liver meat balls
Table 4 and Fig. 1 presents the characteristic of the participating children classified according to age group and dietary intervention. The results of anthropometric assessment show that the overall mean baseline values of weight-for-age Z score and HAZ of the control and LMB group were within the normal range and above –2·0. Prevalence of stunting was 7·7 % % (HAZ < –2·0) among the control < 72 months. None of the children in the LMB group had HAZ – < 2·0.
Baseline characteristics of the participating children and the effect of the 3-month intervention with LMB
LMB, liver meat ball; WAZ, weight-for-age Z score; HAZ, height-for-age Z score; WHZ, weight-for-height Z score; HPRO, hydroxyproline; TBA, thiobarbituric acid.
Within the same row, mean values are significantly different (P < 0·05), if they do not share the same alphabet.
Whisker box plot for the three growth indices among control and LMB children belonging to two age groups at baseline and at 90 d post-intervention
Prevalence of anaemia at baseline and after liver meat balls supplementation
Initially, 43 % of all participating children were suffering from mild or moderate anaemia. Following the intake of the LMB supplement for 90 d, anaemia disappeared completely among children in the age group < 72 months, and among the older children ≥ 72 months its prevalence was reduced down to 12 %; while its prevalence remained almost unchanged among the control group (Fig. 2). The mean increases in the concentration of blood Hb (Δ d90–d0) were 1·3 ± 0·08 and 1·15 ± 0·09 g/dl among children < 72 months and ≥ 72 months, respectively. Chi-square test (χ2) revealed high statistical significant differences (P < 0·001) between the control and the LMB group in the distribution of the number of anaemic and non-anaemic children.
Prevalence of non-anaemic, mild and moderate anaemia among control and LMB children at days 0 and 90
Faecal systemic Ig A at baseline and after liver meat balls supplementation
The baseline faecal concentration of faecal systemic Ig A (s-Ig A) averaged 3·1 ± 0·1 µg (2·87–3·68) per gram faecal material with no significant differences between the groups. The 90-d dietary intervention with LMB was associated with a significant increase (P < 0·05) in the mean concentration of s-Ig A compared with the respective pre-intervention levels and compared with the control group (Table 4 and Fig. 3).
Whisker box plots for faecal systemic IgA, urinary H-PRO-I and urinary Iodine among control and LMB children belonging to two age groups at baseline and at 90 d post-intervention
Urinary hydroxyproline index at baseline and after liver meat balls supplementation
At baseline, the mean (U-HPRO-I) excretion was significantly higher (P < 0·05) among children < 72 (4·08 ±0·17) compared to those aging ≥ 72 months (2·39 ± 0·12). The prevalences of children excreting U-HPRO-I) < 2·5 (the cut-off point for normal biochemical growth) amounted to 28·2 % and 63% among children < 72 months and ≥ 72 months, respectively. Following the 90-d dietary intervention with LMB, the excretion of U-HPRO-I exceeded the cut-off point of 2·5; while the respective excretions of U-HPRO-I below 2·5 were 66 % and 82·4 % among the control group aging < 72 and ≥ 72 months (Table 4 and Fig. 3). Chi-square test (2 × 2 table) revealed very high statistical significance (P < 0·001) between the control and the LMB children in the distribution of numbers excreting U-HPRO-I below 2·5 and ≥ 2·5 compared with the expected based on normal distribution.
Urinary iodine excretion at baseline and after liver meat balls supplementation
At baseline, urinary iodine excretion of all children was above 100 µg, the cut-off point of iodine deficiency, reflecting adequate Iodine intake. It is noteworthy that the salt iodination program is effective in Egypt since 1996, which clearly has positive implication on the iodine status of the vulnerable population.
Following the 90-d intervention with LMB, those children < 72 and ≥ 72 months of age excreted in their urine on average 20 % and 28 % higher iodine (P < 0·05) compared with the respective pre-intervention values (Table 4 and Fig. 3) . The control group did not show such changes though the estimated daily iodine intakes were almost comparable. This is more likely due to lesser iodine excretion in the faeces among the LMB group, because it is well known that vegetarians are at high risk of developing iodine deficiency.
Urinary excretion of thiobarbituric acid at baseline and after liver meat balls supplementation
The mean urinary excretion of thiobarbituric acid was not affected by the intervention with LMB and the differences in concentrations between all groups did not attain significant levels (P > 0·05).
Estimated daily nutrient intakes at baseline and after liver meat balls supplementation
Tables 5 and 6 present the estimated daily intakes of energy, six macronutrients (protein, fat, Na, potassium, Ca and Mg) and thirteen micronutrients (Fe, Zn, Se, iodine, vitamins A, E, B1, B2, B6, B12, folate, niacin and vitamin C among children classified according to age group < 72 and ≥ 72 months, respectively. At baseline, there were no significant differences in the estimated daily intakes between the control and the LMB groups except for higher vitamin C intake (P < 0·05) among the control children (32·8 ± 3·2 mg) compared with the respective intakes of 16·7 mg among the LMB children. The estimated daily intake of Fe increased significantly (P < 0·05) from 4·65 ± 0·25 mg on pre-intervention days up to 5·5 ± 0·23 mg during the intervention days with LMB (days 1–90) days. Similar significant increases were found in the estimated daily vitamin A intake following the dietary intervention with LMB (days 1–90) compared with the pre-intervention intake.
Estimated daily intakes of energy and essential nutrients among children below 72 months of age classified according to dietary intervention
* Intervention = days 1–90 intakes of one (LMB) ball three times per week.
** Fe, FMP = iron derived from fish, meat and poultry.
Mean values are significantly different (P < 0·05), if within the same row they do not share the same alphabet (Student’s t test).
Estimated daily intakes of energy and essential nutrients among children above 72 months of age classified according to dietary intervention
BMR, basal metabolic rate; RE, retinol equivalent.
* Intervention = days 1–90 intakes of two (LMB) balls three times per week.
** Iron, FMP = Fe derived from fish, meat and poultry.
Mean values are significantly different (P < 0·05), if within the same row they do not share the same alphabet (Student’s t test).
With regard to the children aging ≥ 72 months, higher estimated daily intakes (P < 0·05) were found in the energy among the control children (1416 ± 54 kcal) compared with the respective intake of 1096 ± 46·5 kcal among the LMB children (Table 6). The estimated dietary intake of protein was adequate in both groups, and roughly half the dietary proteins were derived from animal sources. Dietary fat made up 39·0 ± 1·2 % of the total energy in the diet of the LMB children and was significantly higher (P < 0·05) than the respective fat % Energy of 34·3 ± 1·1 % E in the diet of the control children. The estimated Fe intake was almost comparable (6·14–6·78 mg/d) among both groups; but 35·5 % of the dietary Fe in the diet of the LMB children was derived from the animal sources; fishes, meats and poultry v. only 18·3 % among the control. On the contrary, the estimated dietary vitamin C supply in the diets of control children averaged 46 ± 2·2 mg; which was double the respective supply of 21·7 ± 3·02 mg among the LMB children. Dietary vitamin E was poor in the diets of all children.
The probability of dietary adequacy at baseline and after liver meat balls
The probability of adequacy (PA) of thirteen nutrients is presented in Tables 7 and 8. The intervention with LMB (days 1–90) was associated with significant increases (P < 0·05) in the PA of total Fe, Fe from animal sources (fishes, meats and poultry) and vitamin A. Increases were also observed in the PA of Zn, Se, vitamins B1, B2, B6, folic acid and niacin, but the increase did not attain significant level (P > 0·05).
Probability of adequacy of the diet of control and LMB children < 72 months at pre-intervention and during the intervention period (days 1–90)
LMB, liver meat balls; PA, probability of adequacy.
Mean values are significantly different (P < 0·05), if within the same row they do not share the same alphabet (Student’s t test).
* Intervention = days 1–90 intakes of one liver meat ball three times per week.
Probability of adequacy for thirteen essential nutrients in the diets of children ≥ 72 months classified according to the dietary intervention
APA, American Psychological Association.
Within the same row, mean values are significantly different (P < 0·05), if they do not share the same alphabet.
Cognitive function by Wechsler test at baseline and after LMB
Scaled scores of the verbal and non-verbal cognitive function (Table 9). The changes in the scaled score (Δ day 90–day 0) of each subtest among the control and LMB children are presented in Table 9. Several of these scaled score increased significantly following the 90 d intervention with LMB and the degree of statistical significance was age-dependent. The digit span test was the only subtest which did not increase following the 90 d intervention with LMB. It is a measure of attention, short-term auditory memory and auditory sequencing (Table 9). Changes (Δ d90–d0) of a number of verbal and non-verbal subtests correlated positively and significantly (P < 0·05) with the increases (Δ d90–d0) in absolute body heights, the HAZ and urinary iodine excretion. In children ≥ 72 months, the increase in practical subtests of the Wechsler score correlated with changes in HAZ (Δ d90–d0) (Table 10).
Effect of dietary intervention with liver meat balls (LMB) on Wechsler intelligence scale for children classified according to age group (Mean ± se)
SS, scaled scores.
Within the same row, and among each age category, mean values are significantly different, if they do not share the same asterisk.
* P < 0·05.
** P < 0·01.
*** P < 0·001.
Simple correlation coefficients (Pearson r) between verbal and non-verbal subtests and selected growth indices and biochemical indicators tests
HAZ, height-for-age Z score; TBA, thiobarbituric acid; SS, scaled scores.
* P < 0·05.
** P < 0·01.
Discussion
The development of the deep-fried LMB used in the present study was culturally acceptable by the participating children, with shelf-life stability for days, reducing the need for refrigeration and is part of the ASF best food-based strategy to prevent stunting and promote cognitive development.
Body weight contains an average of 70 ml blood/kg. Hb contains 3·4 mg Fe/g and the normal blood Hb concentration is 115–120 g/l(Reference Delanghe and Speeckaert30). It is estimated that if 30% of the population are anaemic at the onset, an appropriate theoretical sample size of about twenty-five subjects is needed to be followed for at least 3 months to detect an increase in Hb of 1 g/dl(Reference Hallberg, Rossander-Hulten, Brune, Fomon and Zlotkin35). This protocol was practiced in the present study, and the sample size was thirty children and indeed at the end of the 90 d intervention with LMB, the increases in blood Hb concentration averaged 1·3 ± 0·08 and 1·15 ± 0·09 g/dl among children < 72 months and ≥ 72 months, respectively.
Fe is present in food in both inorganic (ferric and ferrous) and organic (mostly heme). Heme Fe constitutes 40 % of the Fe in meat, poultry, chicken liver and fish, whose absorption into the intestinal lumen is 25 % times greater(Reference West and Oates36) than dietary non-heme Fe(Reference Simpson and Mckie37). Full fat soy flour, isolated soy protein concentrate and even textured soybean are typical example of food products reducing Fe absorption by binding it to insoluble peptides in the duodenum and the term residual ‘soy factor’ is implicated(Reference Hurrell, Juillerat and Reddy38). Commercial ground beef patties and hamburger available on the Egyptian market contain soyproteinsas ingredient in the range between 10 and 25 %, as detected by immunological blotting technique(Reference Abdel-Aziz, Esmail and Hussein39). A randomised controlled trial showed statistical significant (P < 0·05) inferior % apparent Fe retention among male adolescents consuming the sausage extended with soyabean protein (14·6 ± 0·8 %) compared with the respective % apparent Fe retention of 32·2 ± 1·9 % found among the group consuming Fe from 100 % beef under otherwise identical experimental conditions(Reference Abdel-Aziz and Hussein40). The consumers welcome the slight reduction in the price of meat extended with soyabean proteins, being unaware that this is at the expense of inferior qualities. % Fe bioavailability can be assessed precisely from the daily intakes of the food constituents of Fe from fish (F), meat (M) and poultry (P)(Reference Murphy, Beaton and Calloway41). The intake of high dietary ascorbic acids, such as guava (102 mg/100 g) overcome the inhibitory effects of phytate in cereals and enhanced significantly Fe bioavailability in adolescents boys and girls(Reference Nair, Brahmam and Radhika42).
Also, vitamin A is needed together with Fe for the most effective treatment of anaemia(Reference Elnaggar and Hussein43). Vitamin A deficiency impairs the utilisation of Fe for haemoglobin synthesis, in part by trapping Fe in the liver and spleen(Reference Mehdad, Siqueira and Arruda44). Baseline dietary supply of vitamin A in the diets of our participating children was poor, and the intervention with the LMB supplement restored the deficiency and the probability of vitamin A adequacy exceeded 100 %. A South African study carried out on preschool children attributed the adequate vitamin A status of the children to regular intake of 60–75 g of liver once per month(Reference vanStuijvenberg, Schoeman and Nel20). Riboflavin deficiency also impairs Fe absorption by altering the turnover of intestinal cells, associated with a change in Fe utilisation for Hb synthesis(Reference Fairweather-Tait, Powers and Minski45). The estimated daily intake of riboflavin was acceptable among our children and was close to 90 % of the FAO/WHO requirement. Both vitamin B12 and folic acid deficiencies can cause anaemia. The intervention with LMB provided a generous supply of vitamin B12 averaging 2·74 and 5·48 µg/day, for children < 72 and ≥ 72 months, respectively, which exceed the respective daily FAO/WHO requirement.
Mild anaemia (Hb concentration between 110 and 119 g/l) was reported to affect the behaviour and cognitive functions of 9-year-old school children(Reference Buzina-Suboticanec, Buzina and Stavljenic46). Fe supplementation of the anaemic children with high pharmacological dosage of 100 mg ferric glycine for 10 weeks increased the blood Hb concentration and the increase was also associated with statistically significant improvement in total The Wechsler Intelligence Scales for Children-Revised score(Reference Buzina-Suboticanec, Buzina and Stavljenic46). Our results are in good agreement with these findings.
Another study reported that supplementing the basal diet of children from Bhurkino Faso, Ghana, Malawi(Reference Prado, Abbeddou and Adu-Afarwuah17) and Kenya(Reference Hulett, Weiss and Bwibo16) with small amounts of meats improved their linear growth, physical activity and increased their cognitive skills, behaviour and initiative. Eight interventional studies across eleven countries indicated that supplementation with ASF to 26 299 children (age 1–16 years) showed consistent positive associations with cognitive development, increased cognitive functions (test and exam scores) by up to 20-fold and fluid intelligence and verbal skills by up to twofold(Reference Ruiz Jdel, Quackenboss and Tulve47).
Neurological studies showed that over a hundred unique factors have been identified to influence cognitive development in children(Reference Hoang, Nghiem and Vu48). The high-quality proteins found in ASF are typical examples in facilitating specific mechanisms, such as speed of information processing, that are involved in learning tasks such as problem-solving capacity(Reference Balehegn, Mekuriaw and Miller18). The bioavailability of other nutrients in ASF such as Fe, Zn, iodine and B vitamins (B12, B6, folate and riboflavin) enhance cognitive development through their impact on structural brain development via enhancement of myelination and synaptic connectivity.
Conclusion
The present study clearly demonstrates that Fe and vitamin A deficiencies are risk factors affecting children’s growth and cognitive development. Since venous blood sampling from healthy children is prohibited by law in Egypt, it was not possible to assess the biochemical status of vitamin A status and the dietary assessment was the only option to assess the estimated vitamin A intake. The study also clearly demonstrated the role of ASF against undernutrition conditions that generate low/suboptimal children’s cognitive development. Therefore, dietary intervention using ASF should be articulated, publicised and disseminated sufficiently(Reference Martorell49) in order to be the only sustainable long-term approach at the community level, where designing the most effective and practical strategies(Reference Adesogan, Havelaar and McKune50).
Open access
