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Background: Malnutrition and obesity are major public health concerns around the world. Despite the magnitude of double burden of malnutrition and nutritional transition dynamics-poor people consuming more fat- very few literatures available for Indian population. Methods: Using the nationally represented data from National Family Health Survey - 5, the study investigates the factors closely associated with the double burden of malnutrition among Indian adolescents. The bivariate, multivariate logistic regression technique and non-linear decomposition analysis was done in STATA 14. The backward regression technique was used to maintain the uniformity of the number of samples. Result: The female adolescent with higher education were more to experience any burden of malnutrition. The analysis confirms that the accessibility and affordability play crucial role in deciding the current malnutrition status in India. Equalizing the urban differential would be expected to reduce the poor-rich obesity gap by about 20%. Similarly, equalizing higher education, caste and region would be expected to reduce the poor-rich obesity gap by about 4% 7%, 16% (in south region) respectively. Conclusion: A single factor will not be effective to reduce the malnutrition among female adolescent in India. Paper advocates to consider wealth and rural-urban differential in selecting the education based informed choices for nutritious diet as regular practice may provide a solution to minimize double burden of malnutrition among female adolescents in India.
Background: Malnutrition and obesity are major public health concerns around the world. Despite the magnitude of double burden of malnutrition and nutritional transition dynamics-poor people consuming more fat- very few literatures available for Indian population. Methods: Using the nationally represented data from National Family Health Survey - 5, the study investigates the factors closely associated with the double burden of malnutrition among Indian adolescents. The bivariate, multivariate logistic regression technique and non-linear decomposition analysis was done in STATA 14. The backward regression technique was used to maintain the uniformity of the number of samples. Result: The female adolescent with higher education were more to experience any burden of malnutrition. The analysis confirms that the accessibility and affordability play crucial role in deciding the current malnutrition status in India. Equalizing the urban differential would be expected to reduce the poor-rich obesity gap by about 20%. Similarly, equalizing higher education, caste and region would be expected to reduce the poor-rich obesity gap by about 4% 7%, 16% (in south region) respectively. Conclusion: A single factor will not be effective to reduce the malnutrition among female adolescent in India. Paper advocates to consider wealth and rural-urban differential in selecting the education based informed choices for nutritious diet as regular practice may provide a solution to minimize double burden of malnutrition among female adolescents in India.
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