A Nutritional Surveillance at Coastal Mannar District;Using Body Mass Index
- 1Department of Bio-Science, Faculty of applied Science, Vavuniya Campus of the University of Jaffna, Vavuniya, Sri Lanka
- 2Department of Bio-Science, Faculty of applied Science, Vavuniya Campus of the University of Jaffna, Vavuniya, Sri Lanka
- 3Oil Palm Research Institute, Lunuwila, India
Int. Res. J. Environment Sci., Volume 5, Issue (4), Pages 42-46, April,22 (2016)
BMI is one of the tactic to analyze the nutritional status of human body by means of relating the body weight with height. That is human weight divided by their height squared. BMI has several categories. Generally, higher BMI root to higher risk. It is the best unit to know the healthy status of our body. The BMI level is categorized into several levels as: Underweight, Normal weight, Overweight, and obese. But it is not applicable for pregnant women and breast feeding mother. Study was considering the food habits how effects in BMI of the people in Mannar district. This would reflect the people in coastal area in Sri Lanka. Using data collected over 3 month from randomly selected 1392 participants in different areas in Mannar district. Data was collected about their height, weight, food habits, cooking methods, health status and economic status too. Thereafter discuss how these were involved in the BMI level and the health status. Approximately one-third (35%) of the population was normal weight, but 22 % of the population had severely underweight, 11% was underweight, 22% was overweight, and 10% was identified as obese. Underweight and overweight BMI need more consideration.
- Kitamura K., Nakamura K., Nishiwaki T., Ueno K. and Hasegawa M. (2010)., Low body mass index and low serum albumin are predictive factors for short-term mortality in elderly Japanese requiring home care., Tohoku Journal of Experimental Medicine, 221, 29–34.
- Villareal D.T., Apovian C.M., Kushner R.F. and Klein S. (2005)., Obesity in older adults: technical review and position statement of the American Society for Nutrition and NAASO, The Obesity Society., American Journal of Clinical Nutrition, 82, 923–934.
- Tjepkema M. (2006)., Adult obesity., Health Reports/Statistics Canada, 17(3), 9–25.
- Gilles Troché. (2004)., Body Mass Index., 30, 437-443.
- Anderson A.L., Harris T.B. and Tylavsky F.A. (2011)., Dietary patterns and survival in older adults., Journal of the American Dietetic Association, 111, 84–91.
- Ledikwe J.H., Smiciklas Wright H., Mitchell D.C., Miller C.K. and Jensen G.L. (2004)., Dietary patterns of rural older adults are associated with weight and nutritional., Journal of the American Geriatrics Society, 52(4), 589–595.
- Health, National Institutes of National Heart Lung and Blood Institute. (2000)., North American Association for the Study of Obesity. Practical Guide to the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults.,
- Andy Furlong. (2013)., Youth studies: An Introduction., USA: Routledge : 2-3.
- Johnson M.A., Davey A. and Hausman D.B. (2006)., Dietary differences between centenarians residing in communities and in skilled nursing facilities: The Georgia Centenarian Study., Age, 28, 333–341.
- US Department of Health and Human Services and US Department of Agriculture. (2005)., Dietary Guidelines for Americans., undefined
- Castellanos V.H. (2004)., Food and nutrition in nursing homes., Generations, 28(3), 65–71.
- Wellman N.S. and Kamp B. (2004)., Federal food and nutrition assistance programs for older people,, 28(3), 78–85.
- Aranceta J., Pérez-Rodrigo C. and Serra-Majem L. (2007)., Prevention of overweight and obesity: A Spanish approach., xxxxx Public Health Nutrition, 10, 1187-1193.
- Wang L., Gaziano J.M., Norkus E.P., Buring J.E. and Sesso H.D. (2008)., Associations of plasma carotenoids with risk factors and biomarkers related to cardiovascular disease in middle-aged and older women., American Journal of Clinical Nutrition, 88, 747–754 .
- Schroder K.E.E. (2010)., Effects of fruit consumption on body mass index and weight loss in a sample of overweight and obese dieters enrolled in a weight-loss intervention trial., Nutrition, 26, 727-734.
- Andreyeva T., Long M.W., Henderson K.E. and Grode G.M. (2010)., Trying to lose weight: diet strategies among Americans with overweight or obesity in 1996 and 2003., Journal of the American Dietetic Association, 110, 535-542.
- Kruger J., Blanck H.M. and Gillespie C. (2008)., Dietary practices, dining out behavior, and physical activity correlates of weight loss maintenance., Preventing Chronic Disease, 5, A11.
- Tsakos G., Herrick K., Sheiham A. and Watt R.G. (2010)., Edentulism and fruit and vegetable intake in low-income adults., Journal of Dental Research, 89, 462-467.
- Hendrix S.J., Fischer J.G. and Reddy S. (2008)., Fruit and vegetable intake and knowledge increased following a community-based intervention in older adults in Georgia senior centers., Journal of Nutrition for the Elderly, 27(1-2), 155–178.
- Sahyoun N.R., Zhang X.L. and Serdula M.K. (2006)., Barriers to the consumption of fruits and vegetables among older adults., Journal of Nutrition for the Elderly, 24(4), 5–21.
- Neidert K.C. and Borner B. Nutrition Care of the Older Adult: A Handbook for Dietetics Professionals Working throughout the Continum of Care. American Dietetic Association, 2nd edition., undefined, undefined
- Houston D.K., Nicklas B.J. and Zizza C.A. (2009)., Weighty concerns: The growing prevalence of obesity among older adults., Journal of the American Dietetic Association, 109. 1886–1895.
- Paradis A.M., Godin G., Pérusse L. and Vohl M.C. (2009)., Associations between dietary patterns and obesity phenotypes., International Journal of Obesity, 33(12), 1419–1426.
- Newby P.K., Muller D., Hallfrisch J., Andres R. and Tucker K.L. (2004)., Food patterns measured by factor analysis and anthropometric changes in adults., The American Journal of Clinical Nutrition, 80, 504–513.
- Davey A., Elias M.F. and Siegler I.C. (2010)., Cognitive function, physical performance, health, and disease: norms from the Georgia centenarian study., Experimental Aging Research, 36, 394–425.
- World health Organization. (2016), BMI classification., http://apps.who.int/bmi/index.jsp?introPage=intro_3.html
- Jay R. Hoffman and Michael J. (2004)., Protein – Which is best?, undefined
- Dorothy B. Hausman, Mary Ann Johnson, Adam Davey and Leonard W. Poon. (2011)., Body Mass Index Is Associated with Dietary Patterns and Health Conditions in Georgia Centenarians., 1-13.
- Liu S., Manson J.E. and Lee I.M. (2000)., Fruit and vegetable intake and risk of cardiovascular disease: the Women, American Journal of Clinical Nutrition, 72, 922-928.
- Joshipura K.J., Hu F.B. and Manson J.E. (2001)., The effect of fruit and vegetable intake on risk for coronary heart disease., Annals of Internal Medicine, 134, 1106-1114.
- BazzanoL.A., He J. and Ogden L.G. (2002)., Fruit and vegetable intake and risk of cardiovascular disease in US adults: the first National Health and Nutrition Examination Survey Epidemiologic Follow-up Study., American Journal of Clinical Nutrition, 76, 93-99.