Age variations in anthropometric and body composition characteristics and undernutrition among female Bathudis: a tribal population of Keonjhar District, Orissa, India.
A cross-sectional study of 183 female Bathudis, a tribal population of the Keonjhar District, Orissa, India, was undertaken to investigate age variations in anthropometric and body composition characteristics and nutritional status. The subjects were categorized into three age groups: < or =30 years, 31-50 years, >50 years. Height, weight, circumferences and skinfolds data were collected. Body mass index (BMI) and several body composition variables and indices were derived using standard equations. The results revealed that there existed significant negative age variations for most of the anthropometric and body composition variables and indices. Correlation studies of age with these variables and indices revealed significant negative correlations. Linear regression analyses revealed that for all variables, age had a significant negative impact. Studies on the nutritional status of these women revealed that with increasing age, there was an increase in the frequency of undernutrition. In conclusion, this study demonstrated that among Bathudi women, age was significantly negatively related with anthropometric and body composition variables and indices. Moreover, with increasing age, the level of undernutrition increased.
Bose
Kaushik
K
Department of Anthropology, Vidyasagar University, Midnapore, West Bengal, India. banda@vsnl.net
Chakraborty
Falguni
F
Bisai
Samiran
S
D000328:Adult; D000367:Age Factors; D000368:Aged; D000886:Anthropometry; D001823:Body Composition; D001827:Body Height / Q000208:ethnology; D015992:Body Mass Index; D001835:Body Weight / Q000208:ethnology; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D007194:India; D008875:Middle Aged; D009749:Nutrition Surveys; D009752:Nutritional Status; D044382:Population Groups / Q000706:statistics & numerical data*; D011502:Protein-Energy Malnutrition / Q000453:epidemiology / Q000208:ethnology*; D012424:Rural Population / Q000706:statistics & numerical data*