Abstract
Background & Objective: Nutrient excess and nutrient deficiency in the diets of preschool children can lead to permanent modification of metabolic pathways and increased risk of diet-dependent diseases in adults. Children are most susceptible to the adverse consequences of bad eating habits.The objective of this study was to evaluate the eating habits and the diets of preschool children as risk factors for excessive weight, obesity, insulin resistance and the metabolic syndrome.
Methods: The study was conducted on 350 randomly selected preschool children attending kindergartens in south-eastern Poland. Three-day dietary recalls were processed and evaluated in the Dieta 5 application.
Results: The analyzed diets were characterized by low diversity and a high share of processed foods, such as pate, sausages, ketchup, mayonnaise, fried meat, French fries and fast-food. The dietary content of vegetables, raw fruit, dairy products and whole grain products was alarmingly low.
Conclusions: Diets characterized by excessive energy value and nutritional deficiency can lead to health problems. In most cases, excessive weight gain in children can be blamed on parents and caretakers who are not aware of the health consequences of high-calorie foods rich in fats and sugar.
Key Words: Obesity, Nutritional imbalance, Metabolic syndrome, Children
INTRODUCTION
Nutrient excess and nutrient deficiency in the diets of preschool children can lead to permanent modification of metabolic pathways and increased risk of diet-dependent diseases in adults.
Children are most susceptible to the adverse consequences of bad eating habits. An unbalanced diet can lead to delayed physical, cognitive and emotional development. Excessive supply of saturated fats and simple sugars combined with a deficiency of vitamins, minerals and highly available protein contributes to weight gain and glucose metabolism disorders. The results of numerous studies indicate that obesity in preschool children poses serious health risks and increases the prevalence of obese adolescents.
Abdominal obesity increases the risk of insulin resistance 3-fold. A BMI greater than the 85 percentile increases the risk of unbalanced cholesterol levels 2.4-fold, unbalanced LDL cholesterol levels – 3-fold, unbalanced HDL cholesterol levels – 3.4-fold, unbalanced triglyceride levels – 7.1-fold, and hypertension – 4.5-fold.1
The objective of this study was to evaluate the eating habits and the diets of preschool children as risk factors for excessive weight, obesity, insulin resistance and the metabolic syndrome.
METHODS
The study was conducted on 350 randomly selected preschool children attending kindergartens in south-eastern Poland. It was carried out in three stages between October 2013 and February 2014. In the first stage, children were subjected to anthropometric measurements, which involved the determination of height with the use of a stadiometer exact to 0.1 cm and body weight with the use of the Tanita BC 545N scales exact to 10 g. The measurements were used to calculate the body mass index (BMI) adjusted for age and gender in a centile chart (WHO).
The Cole index (CI), also known as the relative body mass index (RBMI), was calculated for every subject to determine the participants' weight relative to the average BMI at the 50th percentile, with the use of the following formula:
Patient's BMI
RBMI = –––––––––––––––– x 100 [%]
BMI at the 50th percentile
CI values are expressed as percentages (Table-I), and they are used to assess the nutritional status of children and adolescents.2
Table-I.
RBMI value | Nutritional status |
---|---|
< 75% | Wasting |
75–89% | Malnutrition |
90–109% | Normal |
110–119% | Overweight |
>120% | Obesity |
In the second stage of the study, parents were asked to fill out a questionnaire designed by the author to provide information about the family's eating habits, meal preparation methods, frequency of consuming various foods and knowledge about the nutritional requirements of preschool children. The parents participated in a 3-day dietary recall covering one day of the weekend.
The children's preferences regarding food products and ready-made meals was evaluated in the third stage of the study. The subjects were presented with a picture-based questionnaire and were asked to mark different products with "like", "don't like" and "don't care" emoticons. The survey was carried out with the involvement of trained assistants who were students of the University of Life Sciences in Lublin graduating in nutritional sciences.
Three-day dietary recalls were processed and evaluated in the Dieta 5 application developed by the National Food and Nutrition Institute in Warsaw based on Polish food composition and nutrition tables.3-5 The average nutritional value and composition of the evaluated diets was determined in the Dieta 5 application.
RESULTS
The surveyed children were aged 4-6 years (average age 4.97 ± 0.84 years) and they attended public kindergartens. 58% of the surveyed subjects were girls. 5-year-olds had the highest share of the analyzed population.
According to the parents' declarations, the children's material and family situation was evaluated as satisfactory in 67% of cases, highly satisfactory in 21% of cases, unsatisfactory and unstable in 12% of cases.
The results of anthropometric measurements revealed that 14.6% of all children (n=51) were overweight (Table-II). The majority of overweight subjects were girls (34), mostly 5-year-olds. The average RBMI was determined at 107.6% for girls and 103.3% for boys, where it did not exceed normal levels in any age group. Despite the above, not all boys were characterized by healthy body weight. The group of 4-year-olds included 3 boys with general obesity and RBMI values in the range of 123.5 – 131.2%.
Table-II.
Gender | Age | ||
---|---|---|---|
Girls [number of children] | 4 years | 5 years | 6 years |
65 | 86 | 52 | |
Average RBMI | 106% | 111.3% | 105.5% |
Number of overweight girls | 7 | 23 | 4 |
Boys [number of children] | 4 years | 5 years | 6 years |
37 | 67 | 43 | |
Average RBMI | 108.4% | 99% | 102.5% |
Number of overweight boys | 8 | 2 | 7 |
The results of dietary recall interviews revealed that most children ate regular meals on weekdays, including 4 meals in the kindergarten and 2 meals at home. On weekends, 28% of the polled subjects ate only 3 meals daily, 8.8% children skipped breakfast and their first meal of the day was lunch served around noon. 95.4% children ate dinner, but the last meal of the day was served very late at 9 to 10.30 p.m.
The results of dietary recall interviews indicate that nutrient deficiencies (calcium, phosphorus, iron, vitamins E and D, unsaturated fatty acids and plant-based proteins) as well as nutrient excess (sodium, vitamin A, saturated fatty acids, simple and added sugars) were common in the analyzed diets (Table-III).
Table-III.
Nutritional requirement |
Average content in the analyzed diets ±
standard deviation |
Average content in the analyzed diets expressed in [%] of nutritional requirements | p | |
---|---|---|---|---|
Protein | 45g | 37.09 g ± 8.8 | 84.22 | < 0.001 |
Carbohydrates | 220g | 194.7 g ± 87.9 | 88.5 | < 0.001 |
including simple sugars | 20-25g | 140.3 g ± 63.8 | 561 -701 | < 0.001 |
Total fat | 45g | 47.3 g ± 19.7 | 105.1 | < 0.001 |
Saturated fat | 15g | 29.47 g ± 10.1 | 196.5 | 0.009 |
Monounsaturated fat | 22.5g | 13.78 g ± 7.4 | 61.24 | < 0.001 |
Polyunsaturated fat | 7.5g | 4.05 g ± 2.2 | 54 | 0.004 |
Fiber | 15g | 11.9 g ± 4.7 | 79.3 | < 0.001 |
Calcium | 800 mg | 553.25 mg ± 232.7 | 69.15 | < 0.001 |
Magnesium | 150 mg | 166.5 mg ± 84.3 | 111 | 0.004 |
Phosphorus | 1000 mg | 641.6 mg ± 248.2 | 64.16 | < 0.001 |
Iron | 8 mg | 6.64 mg ± 2.28 | 83 | < 0.001 |
Sodium | 1000 mg | 2554.7 mg ± 358.4 | 255.47 | < 0.001 |
Potassium | 2100 mg | 1552.7 mg ± 179.5 | 73.9 | < 0.001 |
Vitamin A | 2000 IU | 2670 IU ± 291.1 | 133.5 | < 0.001 |
Vitamin E | 10 mg | 4.02 mg ± 0.8 | 40.2 | 0.004 |
Vitamin C | 50 mg | 90.24 mg ± 47.2 | 180.48 | < 0.001 |
Vitamin D | 500 IU | 234 IU ± 67.9 | 46.8 | 0.009 |
Folates | 0.2 mg | 0.06 mg ± 0.1 | 30 | < 0.001 |
The average energy value of the analyzed diets was 1473.2 kcal ± 234.7, which was insignificantly above the recommended level.
The evaluated diets were rich in high-calorie foods and added sugar. All children snacked between meals and had the highest preference for sweets and sweetened products. Sweetened fruit juice was consumed by 66% of the subjects, and sweetened soft drinks – by 44.6% of the children at least once a week. All children declared to have a preference for sweets: 203 subjects (58%) ate at least one serving of sweets per day, 118 children (33.7%) ate sweets several times a week, and only 8.3% of children ate sweets less frequently. The favorite products indicated by children were: candy, chocolate, biscuits, salty snacks, crisps, jelly sweets, nuts, crackers and fruit.
DISCUSSION
The number of overweight children continues to increase and it poses a serious global problem.6-9Undesirable social behavior is the second most important contributor to excessive body weight after genetic factors. Parents and caretakers have very little knowledge about the impact of healthy nutrition on children's health and development. Overweight children are much more likely to become overweight and obese adults. Research results indicate that children aged 3 to 9 years with BMI above the 80th percentile are three times more likely to suffer from obesity between the ages of 24 and 39, and the risk is four-times higher in overweight adolescents.10 According to the International Obesity Task Force,11 every fifth child in Europe is overweight. A Health Behavior in School-age Children (HBSC) study conducted in Poland in 2010 revealed that 18.3% of Polish adolescents aged 11-12 years were overweight and 3.4% were obese.12
In the past decade, the incidence of obesity and the metabolic syndrome has increased at an alarming rate in South Asia, in particular among women and children. The main causes of obesity are economic development, changes in the traditional diet, lower levels of physical activity and genetic factors. In South Asia, the risk of metabolic and cardiovascular diseases has increased due to higher consumption of fat and abdominal fat deposition.13,14
Excessive weight gain during childhood and adolescence and abdominal fat deposition could be the first factors that increase the risk of the metabolic syndrome.15 In this study, 51 children were overweight, and most of them accumulated fat in the abdominal region or were characterized by general obesity. Snacking between meals and a preference for sweet-tasting foods can contribute to metabolic diseases such as hypertension, hyperglycemia, higher triacylglycerol (TG).16
Obesity prevention starting as early as in infancy is the most effective method of lowering the risk of the metabolic syndrome. Products rich in omega-3 and omega-6 fatty acids should be incorporated in the children's diet. In the surveyed population, the average consumption of unsaturated fatty acids covered nutritional requirements in 54% due to low consumption of fish. 45.1% of the polled children did not like and did not eat fish, whereas 17.1% of the subjects ate fish once a week, mostly in the form of fried bread-coated products. Body weight is also determined by the content of saturated fatty acids in the diet. In the analyzed population, the supply of saturated fatty acids accounted for 196% of nutritional requirements due to the consumption of highly processed fried foods. 211 children ate a hamburger at least once a week, 262 children – a slice of pizza, and 180 subjects – French fries as a serving of vegetables. 94.8% of the evaluated population consumed at least 15 g of hard cheese daily, which is a rich source of protein, but also fat.
Other authors have demonstrated that high fast food intake leads to a three-fold increase in the risk of being overweight in children aged 6 to 11 years.17 Fast food is characterized by low nutritional value and a very high content of fat and saturated fatty acids.18
Those factors contribute to excessive body weight during childhood. The consumption of milk and dairy products that meet daily calcium requirements can inhibit the development of abdominal obesity in children aged 6 to 11 years. Several observational studies have demonstrated correlations between the consumption of dairy products and obesity in children, which indicates that milk protein plays an important role in body weight control.19 High and regular consumption of calcium, in particular from wholesome dairy products, can prevent excessive body weight and obesity.20 Milk and dairy product consumption was low in the studied population. 91 children (26%) did not like milk and did not consume milk in pure form or in milk soup. 180 children consumed 1 serving of milk or yogurt daily, and only 79 of subjects drank 500 ml of milk daily and ate other dairy products. The average calcium content of the analyzed diets covered only 69.19% of nutritional demand for this element.Similar results were reported by Uush, in whose study calcium intake in all age groups (1-3, 4-7, 8-12 years) was significantly below (39%, 30.9%, 24.4%) the recommended levels.21
Distribution of meals and regularity in eating are also important factors in body weight control. Breakfast avoidance can lead to excessive hunger, overeating,22 eating larger portions and excessive calorie intake in successive meals.23
In the analyzed population, children tended to skip regular meals during the weekend. A late or skipped breakfast can disrupt appetite regulation. The consumption of sweet snacks at all times of the day further contributes to meal skipping and irregular meal patterns. Preschool children should eat 4-5 meals at regular times of the day. Regular meal patterns aid digestion and the utilization of nutrients and energy by the body.
The consumption of added sugars increases the energy value and lowers the nutritional value of a child's diet. Higher intake of simple sugars increases fasting blood glucose levels and impairs insulin secretion. Excessive supply of dietary glucose, fructose and saccharose can lead to blood sugar imbalance and insulin resistance.24,25
Simple sugar intake was very high in the analyzed diets, which contained 5-7 times more sugar on average than recommended for children aged 4-6 years. The above resulted from excessive consumption of sweets, juice, sweet soft drinks, sweetened tea and the children's general preference for sweet-tasting foods. Regular breakfasts consumption, higher intake of milk, oils rich in unsaturated fatty acids, fresh vegetables and fruit minimize the risk of excessive body weight, insulin resistance and the metabolic syndrome.26 Researchers and campaign authors havenoted a significant decrease in obesity, in particular among children aged 2 to 5 years (from 13.9% to 8.4%, p=0.03).27 In South Asia, Europe and the United States, which have the highest childhood obesity rates, the main objective of obesity prevention campaigns should be to increase awareness about diet-dependent diseases. There is a great need for community programs promoting physical activity and healthy eating habits among children.
CONCLUSIONS
Irregular meal patterns and an unbalanced diet can impair physical and cognitive development in children. Diets characterized by excessive energy value and nutritional deficiency can lead to health problems. In most cases, excessive weight gain in children can be blamed on parents and caretakers who are not aware of the health consequences of high-calorie foods rich in fats and sugar. There is a dire need for social campaigns that promote healthy eating habits and prevent uncontrolled weight gain. In recent years, several healthy lifestyle campaigns in the US has given highly promising results.
Conflict of interest : The work was financed by public funds for science and higher education. There is no conflict of interest.
References
- 1.Bloomgarden Z. American Association of Clinical Endocrinologists (AACE) consensus conference on theinsulin resistance syndrome. Diabetes Care. 2003;26:1297–1303. doi: 10.2337/diacare.26.4.1297. [DOI] [PubMed] [Google Scholar]
- 2.NCHS Health E-Stat, Prevalence of overweight, obesity and extreme obesity among adults.United States, trends 1960-62 through 2005-2006 . http://www.cdc.gov/nchs/data/hestat/overweight/overweight_adult.html.
- 3.Kunachowicz H, Nadolna I, Przygoda B, Iwanow K. Tables of composition and nutritional value of food (in Polish) Warszawa: PZWL; 2005. [Google Scholar]
- 4.Kunachowicz H. Gluten-free diet - what to choose? The nutritional value of food products and dishes (in polish) Warszawa: PZWL; 2001. [Google Scholar]
- 5.Jarosz M, Bułhak-Jachymczyk B. Standards of Human Nutrition (in polish) Warszawa: PZWL; 2012. [Google Scholar]
- 6.Navti LK, Ferrari U, Tange E, Bechtold-DallaPozza S, Parhofer KG. Contribution of socioeconomic status, stature and birth weight to obesity in Sub-Saharan Africa: cross-sectional data from primary school-age children in Cameroon. BMC Public Health. 2014;14(1):320. doi: 10.1186/1471-2458-14-320. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Saldiva SR, Venancio SI, de Santana AC, da Silva Castro AL, Escuder MM, Giugliani ER. The consumption of unhealthy foods by Brazilian children is influenced by their mother's educational level. Nutr J. 2014;13(1):33. doi: 10.1186/1475-2891-13-33. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Rivera JA, de Cossío TG, Pedraza LS, Aburto TC, Sánchez TG, Martorell R. Childhood and adolescent overweight and obesity in Latin America: a systematic review. Lancet Diabetes Endocrinol. 2014;2(4):321–332. doi: 10.1016/S2213-8587(13)70173-6. [DOI] [PubMed] [Google Scholar]
- 9.Musaiger AO, Al-Mannai M, Al-Marzog Q. Overweight and obesity among children (10-13 years) in Bahrain: A comparison between Two International Standards. Pak J Med Sci. 2014;30(3):497–500. doi: 10.12669/pjms.303.4796. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Juonala M, Raitakari MSA, Viikari J, Raitakari OT. Obesity in youth is not an independent predictor of carotid IMT in adulthood. Atherosclerosis. 2006;185:388–393. doi: 10.1016/j.atherosclerosis.2005.06.016. [DOI] [PubMed] [Google Scholar]
- 11.3 International Obesity Task Force. European Union Platform Briefing Paper. Brussels: 15 March 2005. [Google Scholar]
- 12.Mazur J, Małkowska-Szkutnik A. Research Report HBSC, 2010. Problem of overweight and obesity in Poland among children and adolescents-epidemiological data. Warsaw: Institute of Mother and Child; 2011. [Google Scholar]
- 13.Misra A, Bhardwaj S. Obesity and the metabolic syndrome in developing countries: focus on South Asians. Nestle Nutr Inst Workshop Ser. 2014;78:133–140. doi: 10.1159/000354952. [DOI] [PubMed] [Google Scholar]
- 14.Misra A, Khurana L. The metabolic syndrome in South Asians: epidemiology, determinants, and prevention. Metab Syndr Relat Disord. 2009;7(6):497–514. doi: 10.1089/met.2009.0024. [DOI] [PubMed] [Google Scholar]
- 15.Liu W, Lin R, Liu A, Du L, Chen Q. Prevalence and association between obesity and metabolic syndrome among Chinese elementary school children: a school-based survey. BMC Public Health. 2010;10:780. doi: 10.1186/1471-2458-10-780. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Dias Pintanguiera JC, Rodriguez S, Portela de Santana ML, Monteiro da Silva MD, Farias Costa PR, D’almeida V, de Oliveira Assis AM. Metabolic syndrome and associated factors in children and adolescents of a Brazilian municipality. Nutr Hosp. 2014;29(4):865–872. doi: 10.3305/nh.2014.29.4.7206. [DOI] [PubMed] [Google Scholar]
- 17.Niemeier HM, Raynor HA, Lloyd-Richardson EE, Rogers ML, Wing RR. Fast food consumption and breakfast skipping: Predictors of weight gain from adolescence to adulthood in a nationally representative sample. J Adolesc Health. 2006;39:842–849. doi: 10.1016/j.jadohealth.2006.07.001. [DOI] [PubMed] [Google Scholar]
- 18.Poti JM, Duffey KJ, Popkin BM. The association of fast food consumption with poor dietary outcomes and obesity among children: Is it the fast food or the remainder of diet? Am J Clin Nutr. 2013 doi: 10.3945/ajcn.113.071928. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Barba G, Troiano E, Russo P, Venezia A, Siani A. Inverse association between body mass and frequency of milk consumption in children. Br J Nutr. 2005;93:15–19. doi: 10.1079/bjn20041300. [DOI] [PubMed] [Google Scholar]
- 20.Skinner JD, Bounds W, Carruth BR, Ziegler P. Longitudinal calcium intake is negatively related to children’s body fat indexes. J Am Diet Assoc. 2003;103:1626–1631. doi: 10.1016/j.jada.2003.09.018. [DOI] [PubMed] [Google Scholar]
- 21.Uush T. Calcium intake and serum calcium status in Mongolian children. J Steroid Biochem Mol Biol . 2014 doi: 10.1016/j.jsbmb.2014.01.010. [DOI] [PubMed] [Google Scholar]
- 22.Szajewska H, Ruszczynski M. Systematic review demonstrating that breakfast consumption influences body weight outcomes in children and adolescents in Europe. Crit Rev Food Sci Nutr. 2010;50:113–119. doi: 10.1080/10408390903467514. [DOI] [PubMed] [Google Scholar]
- 23.Lioret S, Volatier JL, Lafay L, Touvier M, Maire B. Is food portion size a risk factor of childhood overweight? Eur J ClinNutr. 2009;63:382–391. doi: 10.1038/sj.ejcn.1602958. [DOI] [PubMed] [Google Scholar]
- 24.Wang J. Consumption of added sugars and development of metabolic syndrome components among a sample of youth at risk of obesity. Appl Physiol Nutr Metab. 2014;39(4):512. [Google Scholar]
- 25.Xi B, Zhao X, Shen Y, Wu L, Hou D, Cheng H, Mi J. An obesity genetic risk score predicts risk of insulin resistance among Chinese children. Endocrine. 2014 Mar 12 doi: 10.1007/s12020-014-0217-y. [DOI] [PubMed] [Google Scholar]
- 26.Nasreddine L, Naja F, Akl C, Chamieh MC, Karam S, Sibai AM, Hwalla N. Dietary, lifestyle and socio-economic correlates of overweight, obesity and central adiposity in Lebanese children and adolescents. Nutrients. 201410;6(3):1038–1062. doi: 10.3390/nu6031038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of childhood and adult obesity in the United States, 2011-2012. JAMA. 2014;311(8):806–814. doi: 10.1001/jama.2014.732. [DOI] [PMC free article] [PubMed] [Google Scholar]