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Correlates of Body Composition and Nutritional Status of 9-12 Year Old School Going Children in Kochi


Affiliations
1 Department of Home Science, St Teresa’s College, Ernakulam, Kerala, India
 

Assessment of body composition is important in the management of many illnesses as well as in the assessment of nutritional status. Human body composition varies widely from one population to another, as age related patterns of changes in body size and composition differ among populations. The study was conducted in 63 urban children of age 9-12 years from two schools in Ernakulam District, Kerala by purposive sampling method. Interview schedule was used for data collection. Anthropometric parameters of the subjects namely weight, height, body mass index, mid upper arm circumference, waist and hip circumference, waist hip ratio, sum of skin fold thickness were taken. Body composition was computed by two equations namely Mcardle et al and Deurenberg predictive equations. The collected data was analyzed by appropriate statistical analysis. On classifying the subjects according to BMI percentiles it was observed that 17.9 per cent of boys and 8.4 per cent of girls belong to the underweight, 10.3 per cent and 20.8 per cent of boys and girls were overweight respectively. The remaining had a normal BMI. The body fat per cent calculated using Deurenberg Predictive equation (1991) was 16.4 percent in boys and 20.4 percent in girls and by McArdle Predictive equations (1986) was 15.9 percent in boys and 16.8 percent in girls. On studying Pearson's correlation of anthropometric parameters with per cent body fat it was evident that there exists a positive correlation (P<.01) between all the anthropometric parameters and per cent body fat, indicating that there is an increase in the anthropometric dimensions of an individual. On studying, Pearson's correlation between SSFT and anthropometric parameters, it was evident that there exists a positive correlation (P<.01) between all the anthropometric parameters indicating increased subcutaneous fat. On studying the Pearson's correlation of nutrient intake with per cent body fat and fat mass, it was found that there was no significant correlation between these parameters. The findings provide a picture of the correlates of body composition and nutritional status of school going children aged 9-12 years.

Keywords

Body Composition, Deurenberg Predictive Equation, Mcardle Equation, Nutritional Status.
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  • Chang H. S., and Kim M. J., “Study on dietary behaviour of elementary school student in Chungnam area according to the school food service type, gender and grade”, Korean Journal of Community Nutrition, vol. 11, p. 608–617, 2006.

  • Eun-Suil C., Na Ri Shin., EunIm J., Hae R. P., Hong M. L., and Kyung H. S., “Study on nutrition knowledge and dietary behaviour of elementary school children in Seoul”, Korean Journal of Community Nutrition, vol. 2, p. 308–316, 2008.

  • Brambilla P., Manzoni P., Sironi S., Simone P., Del Maschio A., Di Natale B., and Chiumello G., “Peripheral and abdominal adiposity in childhood obesity”, International journal of obesity related Metabolism Disorder, vol. 18, p. 795–800, 1994.

  • Malina R. H., “Regional Body composition”, Human kinetics, p. 217–255, 1985.

  • Deurenberg P., Weststrate J. A., and Seidell J. C., “BMI as a measurement of body fatness, age, gender specific prediction formula”, British Journal of Nutrition, vol. 65, p. 105–114, 1991.

  • McArdle W. D., Exercise Physiology, Lea and Febiger, Philadelphia, 1986.

  • Kosulwat V., “The Nutrition and health transition in Thailand”, public health nutrition, vol. 5, p. 183–189, 2003.

  • Shetty P. S., “Nutrition transition in India”, Public health Nutrition, vol. 5, p. 175–182, 2002.

  • Musaiger A. O., “Profile of body composition of school children 6-18 year in Baharian”, International Journal of Obesity, vol. 24, p. 1093–1096, 2000.

  • Shah C., Diwan J., Rao P., Bhabhor M., Gokhle P., and Mehta H., “Assessment of obesity in school children”, Calicut Medical Journal, vol. 6(3), p. 2, 2008.

  • Ailingliu., “Dynamic analysis on prevalence of obesity and overweight school age children and adolescents in recent 15years in China”, Korean Journal of Clinical Nutrition, vol. 5, p. 103–108, 2010.

  • Mandal G., “Diet Composition and body composition in preschool children”, American Journal of Clinical Nutrition, vol. 8, p. 55–59, 2009.

  • Berenson G. S., Srinivasan S. R., Wattigney W. A., Bao W., Newman W. P., and Tracy R. E., “Association between multiple CVD risk factors in children”, Nutrition England Journal of Medicine, vol. 338, p. 650–656, 1998.

  • Abiodun H. C., “Energy intake, anthropometry and body composition of Nigerian girls”, British journal of Nutrition, vol. 77, p. 497–509, 1997.

  • Hakeem R., Thomas J., Badruddin S. H., “Urbanisation and coronary heart disease risk factors in South Asian Children”, Journal of Pakistan medical Association, vol. 51, p. 22–28, 2001.

  • Higgen et al., “Central over weight and obesity in British youth aged 10-16 years”, Biomedical Journal, vol. 326, 2001.

  • William P., Going S. B., Lohman T. G., Harsha D. W., Srinivasan S. R., Webber L. S., and Berenson G. S., “Body Fatness and risk of elevated blood pressure and total cholesterol”, American Journal of Public Health, vol. 82, p. 358– 363, 1996.

  • Jeannie M., “Relationship between diet composition and body fatness with adjustment for resting energy expenditure and physical activity in preadolescent children”, American journal of Clinical Nutrition, vol. 58, p. 21–28, 1993.


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  • Correlates of Body Composition and Nutritional Status of 9-12 Year Old School Going Children in Kochi

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Authors

Bridget Scaria
Department of Home Science, St Teresa’s College, Ernakulam, Kerala, India
Rashmi H. Poojara
Department of Home Science, St Teresa’s College, Ernakulam, Kerala, India

Abstract


Assessment of body composition is important in the management of many illnesses as well as in the assessment of nutritional status. Human body composition varies widely from one population to another, as age related patterns of changes in body size and composition differ among populations. The study was conducted in 63 urban children of age 9-12 years from two schools in Ernakulam District, Kerala by purposive sampling method. Interview schedule was used for data collection. Anthropometric parameters of the subjects namely weight, height, body mass index, mid upper arm circumference, waist and hip circumference, waist hip ratio, sum of skin fold thickness were taken. Body composition was computed by two equations namely Mcardle et al and Deurenberg predictive equations. The collected data was analyzed by appropriate statistical analysis. On classifying the subjects according to BMI percentiles it was observed that 17.9 per cent of boys and 8.4 per cent of girls belong to the underweight, 10.3 per cent and 20.8 per cent of boys and girls were overweight respectively. The remaining had a normal BMI. The body fat per cent calculated using Deurenberg Predictive equation (1991) was 16.4 percent in boys and 20.4 percent in girls and by McArdle Predictive equations (1986) was 15.9 percent in boys and 16.8 percent in girls. On studying Pearson's correlation of anthropometric parameters with per cent body fat it was evident that there exists a positive correlation (P<.01) between all the anthropometric parameters and per cent body fat, indicating that there is an increase in the anthropometric dimensions of an individual. On studying, Pearson's correlation between SSFT and anthropometric parameters, it was evident that there exists a positive correlation (P<.01) between all the anthropometric parameters indicating increased subcutaneous fat. On studying the Pearson's correlation of nutrient intake with per cent body fat and fat mass, it was found that there was no significant correlation between these parameters. The findings provide a picture of the correlates of body composition and nutritional status of school going children aged 9-12 years.

Keywords


Body Composition, Deurenberg Predictive Equation, Mcardle Equation, Nutritional Status.

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DOI: https://doi.org/10.15613/fijrfn%2F2015%2Fv2i1%2F80075