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BMI (2) answer(s).
 
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ID:   143388


Peer effects on childhood and adolescent obesity in China / Nie, Peng; Sousa-Poza, Alfonso ; He, Xiaobo   Article
Nie, Peng Article
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Summary/Abstract Using data from the China Health and Nutrition Survey (CHNS), this study analyzes peer effects on obesity in a sample of 3- to 18-year-old children and adolescents in China. Even after a rich set of covariates and unobserved individual heterogeneity are controlled for, it is evident that such peer effects do indeed exist. These effects are stronger in rural areas, among individuals at the upper end of the BMI distribution, and especially among females. All else being equal, female adolescents whose peers have a higher BMI are less likely to consider themselves overweight, suggesting that peer effects may be working through changed societal bodyweight norms.
Key Words China  Peer Effects  BMI  Children and Adolescents 
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2
ID:   140014


Women’s malnutrition in India: the role of economic and social status / Dahiya, Shikha   Article
Dahiya, Shikha Article
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Summary/Abstract This study has used data from the India Human Development Survey (IHDS), 2005–06, to study the factors influencing the body mass index (BMI) of women between 20 and 40 years of age in India. BMI captures both undernutrition and over-nutrition, and a quantile regression model has been used to capture the differential impact of the explanatory variables across the wide range of its values. Variables such as per capita income, per capita consumption expenditure and wealth are important in explaining variations in BMI, but the impact varies across the quantiles. The impact of per capita consumption expenditure is greater than that of per capita income, indicating the effectiveness with which resources are converted to consumption. Higher levels of wealth status affect BMI more across all the quantiles. Women’s autonomy index shows a positive impact only for higher levels of the index value, but the magnitude is very small, while caste and religion play an important role even after controlling for economic status.
Key Words Women  Income  Consumption  Quantile Regression  BMI 
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