GET THE APP

Effect of Nutrition Education and Dietary Modification on the Hea
Journal of Nutrition & Food Sciences

Journal of Nutrition & Food Sciences
Open Access

ISSN: 2155-9600

Research Article - (2016) Volume 0, Issue 0

Effect of Nutrition Education and Dietary Modification on the Health Status of Kindergarten Children: A Case-control Study

Debnath M1* and Agrawal S2
1Sports Authority of India, Netaji Subash Eastern Centre, Salt Lake, Kolkata, India, E-mail: monalisadebnath1108@gmail.com
2Department of Food and Nutrition, Bajbaj College, Kolkata, India, E-mail: monalisadebnath1108@gmail.com
*Corresponding Author: Debnath M, Research Fellow, Sports Authority of India, Netaji Subash Eastern Centre, Salt Lake, Kolkata, India, Tel: 033 23351722

Abstract

Objective: To assess the effect of nutrition education and dietary modification on the health and nutritional status of kindergarten children.

Study design: A prospective case-control study was executed on 104 kindergarten children bifurcated 50 cases and 54 controls. Intervention: After anthropometrically segregating the KG children of both the groups, first primary data including socio-demographic, clinical and dietary assessments were noted using observation and interview method. Later, 45 minutes of nutrition education and dietary modification workshop 5 days a week were intervened among the cases of group A for a month whereas the controls were kept on casual daily routine. After one month of follow-up, the second primary data including the anthropometric and dietary changes among both the groups were noted and compared with the initial findings.

Analysis: Obtained results were statistically analysed using paired T test.

Result: Number of cases taking optimal nutritional intake increased by 74% after the trial period of one month. There was a significant increase in the anthropometric status of the cases particularly height and chest circumference whereas no remarkable increase has been noted among the controls.

Conclusion: Nutrition education and optimal dietary changes showed improved health status of the kindergarten children in comparison to the controls which can further up-regulate their growth and development. Main outcome measure: Providing nutrition education to students at a young age would be beneficial for improving their nutritional status for lifelong.

Keywords: Children; Health hazards; Physical health; Overweight; Diabetes; Malnutrition

Introduction

Kindergarten years are considered as a pivotal phase for growth and development of the children that affects future learning as well as physical, mental and emotional health persisting throughout life [1-3]. A child being highly sensitive and least protected from the adverse living circumstances, is found more susceptible to diseased conditions and morbidity [4-6]. Hence, it is very important to build a strong health profile right from early years of life through adequate dietary intervention and addressing good food habits which will serve throughout protecting the body from broad spectrum of health hazards [7].

Health is affected by many predisposing factors, including-gender, family size, socio-economic status, residential condition, parental education, working status, nutritional knowledge of mothers, food availability, physical activity, social environment etc. [8]. Parental education is one of the important factors relating to childhood nutrition [9].

Fathers being the main earner and decision maker of the family, their higher education play an important role in ensuring better nutritional status of the children [10]. Physical activity (PA) is a reliable factor for the modulation of health status as the frequency or time incorporated in it is associated with number of positive mental and physical health outcomes and prevents weight gain among children as well [11-15].

Altered nutritional uptake or deviation from the standardized dietary allowances may lead to health disturbances, commonly termed as malnutrition which includes both obesity and under nutrition. There has been notable increase in the prevalence of overweight and obesity in the developing countries [16]. It is observed that approximately 10% of the schools going children are overweight as an outcome of unhealthy dietary habits that may further leave detrimental effects on their health status [17,18].

This further contributes to early onset of diseases of adulthood such as Type 2 Diabetes, arterial hypertension etc. [19]. Inadequate maternal and child caring practices, food insecurity and unhealthy environment are also the underlying causes aggravating the condition [20]. Malnutrition on the other hand has long-lasting effects on children’s health and therefore should be properly checked through nutritionally adequate diets and optimal eating pattern [21].

Anthropometric assessments commonly introduced for determining the nutritional status of a child include height, weight, body mass index (BMI), head circumference (HC), chest circumference (CC), mid-upper arm circumference (MUAC), skinfold thickness etc. [22]. Weight for height is considered as the most appropriate and reliable indicator of growth as it reflects wasting that may persist as a result of malnutrition or other predisposing factors like diarrhea, malaria etc. [23]. MUAC is often used as an efficient indicator of nutritional status as it is influenced by recurrent change in weight. The key dependent variable is BMI, increase of which denotes obesity whereas starving body denotes malnutrition [24].

Nutrition education is attracting ample of interest and concern for curbing health problems during childhood, but it is yet to be incorporated in the school curriculum nationwide [25]. Our study was executed with an objective to assess the effect of nutrition education on the nutritional intake and health status of kindergarten children.

Method and Materials

To obtain a homogenous group of children for the case-control study, two branches of the school-Sri Aurobindo institution, Barrackpore, West Bengal were selected. Following random sampling method, a gross total of 104 kindergarten children of age range of 3-6 years were enrolled as study subjects for the research work for a study period of 2 months. Following the inclusion and exclusion criteria as mentioned in the study protocol (Figure 1), 50 KG children from the main branch termed as group A and 54 KG children from the supporting branch termed as group B were treated as cases and controls respectively. Inclusion criteria constituted children of the respective age range, regular comers to the school while exclusion criteria included child with any serious health problem or suffering from chronic disease, not able to attend regular classes and physically/ mentally handicapped.

nutrition-food-sciences-Study-protocol

Figure 1: Study protocol.

The study protocol was checked and approved for standardization and authentication before further proceedings. The questionnaire to be filled was standardized by the authorities of the Department, BRSN College (WBSU). Parents of all the subjects were required to submit a written informed consent and a pre-formed questionnaire including socio-demographic information were needed to be filled by them prior to participation.

All 104 KG students of both the groups were assessed anthropometrically to segregate the samples into healthy and malnourished ones following WHO scaling. Observation and interview method were followed using a semi-structured questionnaire containing all the concerned parameters to be noted viz. sociodemographic status, anthropometric assessment, dietary assessment and visible clinical symptoms. Following the rating of socio-economic status in accordance to Kuppuswami’s scale, children of both the groups were further categorized under low, high or middle classes. For anthropometric assessment, height, weight, mid-upper arm circumference (MUAC), head circumference and chest circumference of the kindergarten children were noted, belonging to both the case (group A) and control (group B) categories.

Body weight was measured using portable weighing machine, height using an anthropometer; and MUAC, head circumference and chest circumference using a measuring tape. Dietary assessment was done using interview scheduled questionnaire following dietary recall method. Visible clinical symptoms or health problems were noted among the children. After collection of the primary data, nutrition education and dietary modification were intervened among group A whereas; rest 54 KG students of group B were kept as control. The nutrition education program was continued for a month consisting of 45 min nutrition education class five days a week.

The nutritional education program was executed in accordance to provide children with information on diet and nutrition, with the aim of forming healthy dietary habits. The information was taught using learning-through play teaching methods, including posters, demo models, placards, games, group games and children’s stories. Concerned care and priorities was given to the children’s interaction, interest and participation during trial period, with an aim to establish a distinctive and dynamic educational process. Every child in the case group was provided with an individual dietary recommendation for daily food intake in accordance to RDA and even distribution of five food groups in their platter. Children were observed under strict supervision during the nutrition education session. After a month of follow-up, the kindergarten students were assessed to note the anthropometric and dietary differences in the cases (group A) and controls (group B). After data collection, the results expressed as mean ± SD were statistically analyzed using paired t test and the effect of nutrition program on health status of cases to that controls were drawn eventually.

Result

The segregation of the study population through random sampling method resulted in case groups with 50 kindergarten children-18 girls and 32 boys; and control groups with 54 kindergarten children-25 girls and 29 boys, all belonging to the age range of 3-6 years with no severe occurrence of diseases or deformity as followed by the inclusion and exclusion criteria’s. As mentioned in Table 1, Kuppuswami’s scaling was used for the categorization of children according to the socioeconomic class which depicted that maximum child of group A belonged to upper middle class whereas moreover equal proportion of children of group B belonged to upper and upper middle class groups.

Group Upper Class Upper Middle Class Lower Middle Class
No. of Students Percentage
(%)
No. of Students Percentage
(%)
No. of Students Percentage
(%)
A (n=50) Male Female 16 32 24 48 10 20
32 18
B (n=54) 29 25 23 43 21 39 10 18

Table 1: Categorization of students according to the scoring of Kuppuswami’s scale.

Table 2 shows the frequency of physical activity (PA) performed by the children of case and control groups. The time incorporated into PA was observed to be elevated among the case groups after nutrition education session. After the trial period about 80% of the children were found to do regular physical activity in the form of outdoor games or co-curricular activities as performed in schools whereas, the time spent by the control groups before and after the study period was same as no knowledge about physical education was delivered to them.

Group A (n=50)
Gender Month Daily Alternate Days Weekends Seldom
No. of Students Percentage (%) No. of Students Percentage (%) No. of Students Percentage (%) No. of Students Percentage (%)
Male (n=32) 1st 3 9.37 5 15.63 11 34.38 13 40.63
2nd 16 50 7 21.88 6 18.75 3 9.38
Female (n=18) 1st 2 11.12 2 11.12 8 44.45 6 33.34
2nd 8 44.45 5 27.78 3 16.67 2 11.12
Group B (n=54)
Gender Month Daily Alternate Days Weekends Seldom
No. of Students Percentage (%) No. of Students Percentage (%) No. of Students Percentage (%) No. of Students Percentage (%)
Male (n=29) 1st 6 20.69 5 17.24 8 27.58 10 34.48
2nd 6 20.69 5 17.24 8 27.58 10 34.48
Female (n=25) 1st 4 16 2 8 11 44 8 32
2nd 4 16 2 8 11 44 8 32

Table 2: Categorization of students according to the frequency of physical activity performed.

Table 3 shows the daily calorie consumption by the cases and controls. It was found that merely 47% of the cases were taking optimal calorie intake daily, which hiked up to 72% after nutrition education session. Children taking less and more than the RDA nearly reduced to half whereas, among the controls there was no such significant increase in the number of children taking optimal dietary intake after the study period.

Group A (n=50)
Gender Near about RDA Less than RDA More than RDA
No. of Students Percentage (%) No. of Students Percentage (%) No. of Students Percentage (%)
Male (n=32) Before 15 46.87 11 34.37 6 18.75
After 23 71.87 5 15.63 4 12.5
Female (n=18) Before 9 50 5 27.78 4 22.23
After 13 72.23 2 11.12 3 16.67
Group B (n=54)
Gender Month Near about RDA Less than RDA More than RDA
No. of Students Percentage (%) No. of Students Percentage (%) No. of Students Percentage (%)
Male (n=29) Before 14 48.27 10 34.48 5 17.24
After 12 41.38 13 44.83 4 13.79
Female
(n=25)
Before 11 44 7 28 7 28
After 9 36 7 28 9 36

Table 3: Categorization of students according to their daily calorie consumption.

Tables 4 and 5 reveal the assessments of anthropometric status of the cases. The mean height before intervention was 100.74 ± 5.64 cm which increased to 102.26 ± 5.62 cm (P value <0.05***) after the follow up. The BMI as observed before and after the nutrition education session falls on normal range as provided by WHO. The head circumference before (49.20 ± 1.23) and after (49.80 ± 1.16) nutrition intervention have revealed significant improvement (P value <0.05***). There was remarkable net increase in 0.22 cm in the chest circumference after the session (P value <0.05***).

Anthropometric Parameters Assessed among Cases (group A, n=50) Mean ± SD Std. Error Mean (SEM) Correlation
Pair 1 Height (cm) Before 100.74 ± 5.64 0.79 0.991
After 102.26 ± 5.62 0.79
Pair 2 Weight (Kg) Before 15.70 ± 3.00 0.42 0.978
After 16.61 ± 3.11 0.44
Pair 3 Body Mass Index (BMI, Kg/m2) Before 15.43 ± 2.38 0.33 0.967
After 15.82 ± 2.41 0.34
Pair 4 Head Circumference (HC, cm) Before 49.20 ± 1.23 0.17 0.874
After 49.80 ± 1.16 0.16
Pair 5 Chest Circumference (CC, cm) Before 52.26 ± 3.26 0.46 0.964
After 53.48 ± 3.54 0.50
Pair 6 Mid-Upper Arm Circumference
(MUAC, cm)
Before 15.72 ± 1.77 0.25 0.887
After 17.18 ± 1.63 0.23

Table 4: Comparison of anthropometric status of case group before and after nutrition education and dietary modification.

Anthropometric Parameters Assessed among Cases (Group A, n=50) Mean ± SD Std. Error Mean Paired Differences
95% Confidence Interval of the Difference t test (two-tailed) Df Significance Level (P value)
Lower Upper
Pair 1 Height: Before-After -1.52 ± 0.74 0.10 -1.73283 -1.30717 -14.35 49 P value<0.05***
Pair 2 Weight: Before-After -0.912 ± 0.65 0.09 -1.09890 -0.72510 -9.80 49 P value<0.05***
Pair 3 BMI: Before-After -0.38 ± 0.61 0.08 -0.56237 -0.21003 -4.40 49 P value<0.05***
Pair 4 Head Circumference: Before-After -0.60 ± 0.60 0.08 -0.77225 -0.42775 -7.00 49 P value<0.05***
Pair 5 Chest Circumference: Before-After -1.22 ± 0.95 0.13 -1.49259 -0.94741 -8.99 49 P value<0.05***
Pair 6 MUAC: Before-After -1.46 ± 0.81 0.11 -1.69294 -1.22706 -12.59 49 P value<0.05***
Values are expressed as mean ± SD,*=P value<0.0, **=P value<0.001, ***P value<0.0001 (at 95% confidence interval), t=Paired t test, two tailed, p<0.05=Significant

Table 5: Comparative analysis of the anthropometric status of the case group before and after nutrition education and dietary modification using paired t test.

Tables 6 and 7 shows the anthropometric assessments of the controls evaluated prior and later to the trial period. It was found that no such significant improvement was noticed in the anthropometric parameters. Previously done research studies have evaluated better improvement in Weight-for-age to that of height-for-age through nutrition education [26]. On contrary Sneha et al. documented significant difference in the height after nutrition education program along with marginal difference in weight and BMI [27].

Anthropometric Parameters Assessed among Controls (Group B, n=54) Mean ± SD Std. Error Mean (SEM) Correlation
Pair 1 Height (cm) Before 108.49 ± 7.76 1.05 0.995
After 109.49 ± 7.73 1.05
Pair 2 Weight (Kg) Before 17.96 ± 3.99 0.54 0.986
After 18.67 ± 4.13 0.56
Pair 3 Body Mass Index (BMI, Kg/m2) Before 15.17 ± 1.91 0.26 0.920
After 15.49 ± 1.95 0.26
Pair 4 Head Circumference (HC, cm) Before 49.50 ± 1.71 0.23 0.948
After 49.78 ± 1.58 0.21
Pair 5 Chest Circumference (CC, cm) Before 49.50 ± 1.71 0.23 0.948
After 49.781.58 0.21
Pair 6 Mid-Upper Arm Circumference
(MUAC, cm)
Before 16.09 ± 1.87 0.25 0.953
After 17.59 ± 1.81 0.24
Values are expressed as mean ± SD,*=P value<0.0, **=P value<0.001, ***P value<0.0001 (at 95% confidence interval), t=Paired t test, two tailed, p<0.05=Significant

Table 6: Comparison of anthropometric status of control group before and after nutrition education and dietary modification.

Anthropometric Parameters Assessed among Controls (Group B, n=54) Mean ± SD Std. Error Mean Paired Differences
95% Confidence Interval of the Difference t test (Two-tailed) Df Significance level (P value)
Lower Upper
Pair 1 Height: Before-After -1.00 ± 0.75 0.10 -1.20706 -0.79294 -9.687 53 P value<0.05***
Pair 2 Weight: Before-After -0.70 ± 0.68 0.09 -0.89207 -0.51904 -7.587 53 P value<0.05***
Pair 3 BMI: Before-After -0.32 ± 0.77 0.10 -0.53704 -0.11481 -3.097 53 P value<0.05**
Pair 4 Head Circumference: Before-After -0.28 ± 0.54 0.07 -0.43607 -0.13800 -3.863 53 P value<0.05***
Pair 5 Chest Circumference: Before-After -0.28 ± 0.54 0.07 -0.43607 -0.13800 -3.863 53 P value<0.05***
Pair 6 MUAC: Before-After -1.50 ± 0.56 0.07 -1.65458 -1.34542 -19.463 53 P value<0.05***
Values are expressed as mean ± SD, *=P value<0.0, **=P value<0.001, ***P value<0.0001 (at 95% confidence interval), t=Paired t test, two tailed, p<0.05=Significant

Table 7: Comparative analysis of the anthropometric status of the control group before and after nutrition education and dietary modification using paired t test.

Table 8 depicts the comparative net increase in the height, weight, BMI, chest circumference, head circumference and mid-upper arm circumference (MUAC) of the cases and controls. It was observed that the recovery in final height and chest circumference of the cases after the follow up was statistically significant to that of the control groups.

Final Anthropometric Reading Taken at 2nd Month of Study (Equal Variances Not Assumed) t test for Equality of Means
t test (Two-tailed) Df Sig. Level (P value) Mean Difference Std. Error Difference 95% Confidence Interval of the Difference
Lower Upper
Final height -5.481 96.687 0.000 -7.23074 1.31929 -9.84927 -4.61221
Final weight -2.883 98.017 0.005 -2.06022 0.71463 -3.47839 -0.64206
Final BMI 0.751 94.486 0.454 0.32547 0.43328 -0.53476 1.18569
Final HC 0.048 96.883 0.962 0.01296 0.27146 -0.52581 0.55174
Final CC 6.770 66.823 0.000 3.69296 0.54549 2.60411 4.78182
Final MUAC -1.219 101.918 0.226 -.41259 0.33850 -1.08400 0.25882

Table 8: Statistical analysis to compare the anthropometric results of case and control groups using t test.

Discussion

It was found that one month trial of dietary modification and nutrition intervention among the case group had a positive effect on the health condition and nutrition profile in comparison to that of the control group. These improvements in the quality of nutrition despite of short duration interventional process have been highlighted by other researchers too [28]. It was observed that prescribing RDA to the children shifted the underweight ones to the normal groups within a month. Alike our results, previously done research have also observed significant increase in the number of meals taken per day [29]. The consumption of junk food was curbed to the threshold levels by giving nutrition education and personalized daily dietary intake format to every children of the case group. Children were observed to have more hygiene concerns with neat and clean attire during the second assessments done after the one month trial period. Similar results to that of our study have been obtained by several researchers mentioning significant reduction in the number of subjects who were underweight and wasted after intervention program. An evidential increase in the Levels of serum proteins, calcium and Vitamin D after intervention has also been notified by many [30]. An experimental study done by Ayesha et al. came up with a primary outcome of decreased severity of wasting and changes in the feeding habits as well [29].

There was no change found in the control group concerning the anthropometric and dietary status as assessed after the interventional period of month signifying the reason being no dietary modification or nutrition education was implemented on them. The numbers of subjects under the normal, overweight and underweight category were the same during the second assessment as before. There was no increase in the frequencies PA among them. It has been found that very few kindergarten children engage in physical activities daily whereas the current PA guidelines recommends 180 min of PA per day [30,31]. The meal frequency, dietary pattern, calorie consumption, frequency of milk consumption, distribution of other food groups in their diet remained unaltered during the second month of evaluation.

Understanding the feeding attitudes and behavior of children is important in terms of child health. Environmental factors play an important role in children's dietary profiles and parents should receive guidance on what foods should be given at home [32]. For nutrition programs to be successful, it is essential to have adequate time, adequate knowledge transfer, appropriate resources, and suitable educational materials and teacher training [33]. School Environment, social and physical environments including schools’ can directly and indirectly affect health beliefs and behaviors [34]. Many studies introduced previously reveals that dietary habits opted by the children after nutrition education along with subjecting them to psychoeducational games and conducting summer camps have seem to enhance their nutritional profile [35-44]. On contrary, many nutrition research works have found no significant differences in the dietary habits of the children before and after the nutritional intervention program [45-52].

Conclusion

There comes a broad inference with the result of the study in accordance to the dietary modification being made and nutrition education being delivered to the case group keeping the controls as a constant. As found in the literature, use of information that is developmentally appropriate impacts the subjects’ ability to gain knowledge and skills needed for implementation of behavior change. Helping subjects to increase their nutrition knowledge better enables them to adopt and follow the Dietary Guidelines, improving overall health and promoting academic achievement. Reinforcement of the lessons presented is important to help the children make informed choices about foods and nutrition. Incorporating nutrition lessons into the school curricula would provide increased knowledge about healthful choices for the students. Providing nutrition education to students at a young age would be beneficial in helping the students make lifelong changes.

Implications for Research and Practice

The results as obtained can be utilized further for extensive research to analysis how varied nutritional intervention can affect the overall growth and development of the kindergarten children and the study can be extended to a discrete level so as to observe the effect of individual nutrient modification on specific body function.

References

  1. Hertzman C (2013) The significance of early childhood adversity. Paediatr Child Health 18: 127-128.
  2. Boivin M, Hertzman C (2014) Early childhood development: adverse experiences and developmental health. Royal Society of Canada. Canadian Academy of Health Sciences Expert Panel pp: 267-272.
  3. McCain MN, Mustard JF, McCuaig K (2013) Early years study: making decisions, taking action. Margaret & Wallace McCain Family Foundation pp: 122-126.
  4. McCain MN, Mustard JF, Shanker S (2013) Council for Early; Early years study 2: putting science into action. Child Development pp: 146-148.
  5. Marmot M (2011) Fair London. Strategic review of health inequalities in England post-2010. Available society, healthy lives. pp: 98-102.
  6. Shonkoff JP, Garner AS; Committee on Psychosocial Aspects of Child and Family Health; Committee on Early Childhood, Adoption, and Dependent Care; Section on Developmental and Behavioral Pediatrics (2012) The lifelong effects of early childhood adversity and toxic stress. Pediatrics 129: e232-246.
  7. Marmot M, Friel S, Ruth Bell, Tanja AJ Houweling, Taylor S (2008) Closing the gap in a generation: health equity through action on the social determinants of health. Commission on Social Determinants of Health 372: 66-69.
  8. Mahgoub SEO, Nnyepi M, Bandeke T (2006) Factors affecting prevalence of malnutrition among children under three years of age in Botswana. Afr J Food AgricNutrDev 6: 15.
  9. Rahman M, Mostofa G, Nasrin SO (2009) Nutritional status among children aged 24-59 months in rural Bangladesh: an assessment measured by BMI index. Internet J BiolAnthropol 3: 10.
  10. Rayhan MI, Khan MSH (2006) Factors causing malnutrition among under five children in Bangladesh. Pak J Nutr 5: 558-562.
  11. Timmons BW, Leblanc AG, Carson V, Connor Gorber S, Dillman C, et al. (2012) Systematic review of physical activity and health in the early years (aged 0–4 years). ApplPhysiolNutrMetab 37: 773-792.
  12. Timmons BW, Naylor PJ, Pfeiffer KA (2007) Physical activity for preschool children--how much and how? Can J Public Health 2: S122-134.
  13. Reilly JJ, Jackson DM, Montgomery C, Kelly LA, Slater C, et al (2004) Total energy expenditure and physical activity in young Scottish children: mixed longitudinal study. Lancet 363: 211–212.
  14. Jones RA, Hinkley T, Okely AD, Salmon J (2013) Tracking physical activity and sedentary behavior in childhood: a systematic review. Am J Prev Med 44: 651-658.
  15. Hills AP, Andersen LB, Byrne NM (2011) Physical activity and obesity in children. Br J Sports Med 45: 866-870.
  16. Lobstein T, Frelut ML (2003) Prevalence of overweight among children in Europe. Obes Rev 4: 195-200.
  17. Wang Y, Monteiro C, Popkin BM (2002) Trends of obesity and underweight in older children and adolescents in the United States, Brazil, China, and Russia. Am J ClinNutr 75: 971-977.
  18. Lobstein T, Baur L, Uauy R; IASO International Obesity TaskForce (2004) Obesity in children and young people: a crisis in public health. Obes Rev 5 Suppl 1: 4-104.
  19. Falcão-Gomes RC, Coelho AA, Schimitz BA (2006) Evaluation studies of the characterization of the food intake of preschool. Rev Nutr. 19: 713-727.
  20. UNICEF (1998) The state of the world's children. Focus on nutrition. Oxford University Press, New York.
  21. Schroeder DG (2001) Malnutrition. Semba RD, Bloem MW, Nutrition and health in developing countries. Humana Press, Totowa, New Jersey, USA.
  22.  WHO (1995) Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee. World Health Organ Tech Rep Ser 854: 1-452.
  23. De Onis M (2001) Child growth and development. Humana Press Inc. Totowa, New Jersey 71-91.
  24. Ludwig DS (2007) Childhood obesity--the shape of things to come. N Engl J Med 357: 2325-2327.
  25. Perez-Escamilla R, Haldeman L, Gray S (2002) Assessment of nutrition education needs in an urban school district in Connecticut: Establishing priorities through research. J of the Amer Dietetic Assoc 102: 559-562.
  26. Walsh CM, Dannhauser A (2002) The impact of a nutrition education programme on the anthropometric nutritional status of low-income children in South Africa. Public Health Nutrition 5: 3-9.
  27. Prakash AS, Rupali S (2015) Effect of Nutrition Education Program on Anthropometric Measurements of Adolescent Girls (16-19 Years). Indian Journal of Applied Research 5: 217-219.
  28. FernandesPatrícia S, Bernardo Carla de O, A Francisco de, Vasconcelos G De (2009) Evaluating the effect of nutritional education on the prevalence of overweight/obesity and on foods eaten at primary schools. J Pediatr (Rio J) 85: 315-321.
  29. Zahid KA, Ghazala R, Haneen Q, Salma HB (2013) A Nutrition Education Intervention to Combat Undernutrition: Experience from a Developing Country. Human Development Programme 2013: 1-7.
  30. Sloney S, Sonika S (2015) Impact of nutrition counselling on the anthropometric and biochemical profile of lactose intolerant children. International Journal of Food and Nutritional Sciences 4: 198-202.
  31. Hinkley T, Salmon J, Okely AD, Crawford D, Hesketh K (2012) Preschoolers' physical activity, screen time, and compliance with recommendations. Med Sci Sports Exerc 44: 458-465.
  32. Tremblay MS, Leblanc AG, Carson V, Choquette L, Connor Gorber S, et al. (2012) Canadian Physical Activity Guidelines for the Early Years (aged 0–4 years). ApplPhysiolNutrMetab 37: 345-356.
  33. Fox MK, Reidy K, Novak T, Ziegler P (2006) Sources of energy and nutrients in the diets of infants and toddlers. J Am Diet Assoc 106: S28-42.
  34. Story M, R W Mays, D B Bishop, C L Perry, G Taylor, et al. (2000) 5-a-day Power Plus: process evaluation of a multicomponent elementary school program to increase fruit and vegetable consumption. Health Educ. Behav Health EducBehav 27: 187-200.
  35. Bauer KW, Yang YW, Austin SB (2004) "How can we stay healthy when you're throwing all of this in front of us?" Findings from focus groups and interviews in middle schools on environmental influences on nutrition and physical activity. Health EducBehav 31: 34-46.
  36. Baranowski T, Baranowski J, Cullen KW, Marsh T, Islam N, et al. (2003) Squire's Quest! Dietary outcome evaluation of a multimedia game. Am J Prev Med 24: 52-61.
  37. Cullen KW, Watson K, Baranowski T, Baranowski JH, Zakeri I (2005) Squire's Quest: intervention changes occurred at lunch and snack meals. Appetite 45: 148-151.
  38. Horne PJ, Tapper K, Lowe CF, Hardman CA, Jackson MC, et al. (2004) Increasing children's fruit and vegetable consumption: a peer-modelling and rewards-based intervention. Eur J ClinNutr 58: 1649-1660.
  39. Mangunkusumo RT, Brug J, de Koning HJ, van der Lei J, Raat H (2007) School-based internet-tailored fruit and vegetable education combined with brief counselling increases children's awareness of intake levels. Public Health Nutr 10: 273-279.
  40. Baranowski T, Baranowski J, Thompson D, Buday R, Jago R, et al. (2011) Video game play, child diet, and physical activity behavior change a randomized clinical trial. Am J Prev Med 40: 33-38.
  41. DeBar L, Dickerson J, Clarke G, Stevens V, Ritenbaugh C, et al. (2009) Using a website to build community and enhance outcomes in a group, multi-component intervention promoting healthy diet and exercise in adolescents. Journal of Pediatric Psychology 34: 539-550.
  42. DeBar LL, Ritenbaugh C, Aickin M, DeBar LL, Rittenbaugh C, et al. (2016) Youth: A health plan-based lifestyle intervention increases bone mineral density in adolescent girls. Arch PediatrAdolesc Med 160: 1269-1276.
  43. Haerens L, Deforche B, Maes L, Cardon G, Stevens V, et al. (2006) Evaluation of a 2-year physical activity and healthy eating intervention in middle school children. Health Educ Res 21: 911-921.
  44. Haerens L, Deforche B, Maes L, Brug J, Vandelanotte C, et al. (2007) A computer-tailored dietary fat intake intervention for adolescents: results of a randomized controlled trial. Ann Behav Med 34: 253-262.
  45. Williamson DA, Martin PD, White MA, Newton R, Walden H, et al. (2005) Efficacy of an internet-based behavioural weight loss program for overweight adolescent African-American girls. Eat Weight Disord 10: 193-203.
  46. Bannon K, Schwartz MB (2006) Impact of nutrition messages on children's food choice: pilot study. Appetite 46: 124-129.
  47. Haire-Joshu D, Nanney MS, Elliott M, Davey C, Caito N, et al. (2010) The use of mentoring programs to improve energy balance behaviors in high-risk children. Obesity (Silver Spring) 1: S75-S83.
  48. Moore JB, Pawloski LR, Goldberg P, Kyeung MO, Stoehr A, et al. (2009) Childhood obesity study: a pilot study of the effect of the nutrition education program Color My Pyramid. J SchNurs 25: 230-239.
  49. Pempek TA, Calvert SL (2009) Tipping the balance: use of advergames to promote consumption of nutritious foods and beverages by low-income African American children. Arch PediatrAdolesc Med 163: 633-637.
  50. Thompson D, Baranowski T, Cullen K, Watson K, Liu Y, et al. (2008) Food, fun, and fitness internet program for girls: Pilot evaluation of an e-Health youth obesity prevention program examining predictors of obesity. Prev Med 47: 494-497.
  51. Casazza K, Ciccazzo M (2007) The method of delivery of nutrition and physical activity information may play a role in eliciting behavior changes in adolescents. Eat Behav 8: 73-82.
  52. Long JD, Stevens KR (2004) Using technology to promote self-efficacy for healthy eating in adolescents. J NursScholarsh 36: 134-139.
Citation: Debnath M, Agrawal S (2016) Effect of Nutrition Education and Dietary Modification on the Health Status of Kindergarten Children: A Case-control Study. J Nutr Food Sci 6:559.

Copyright: © 2016 Debnath M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Top