Heterogeneity in adult anthropometry by socioeconomic factors: Indian National Family Health Survey 2006 and 2016

Perkins JM, Subramanian S, Davey Smith G, Özaltin E. Adult height, nutrition, and population health. Nutr Rev. 2016;74:149–165.

Popkin B, Slining M. New dynamics in global obesity facing low‐and middle‐income countries. Obes Rev. 2013;14:11–20.

Bozzoli C, Deaton A, Quintana-Domeque C. Adult height and childhood disease. Demography. 2009;46:647–69.

Deaton A. Height, health, and development. Proc Natl Acad Sci. 2007;104:13232–7.

Subramanian S, Perkins JM, Özaltin E, Davey Smith G. Weight of nations: a socioeconomic analysis of women in low-to middle-income countries. Am J Clin Nutr. 2010;93:413–21.

Subramanian S, Smith GD. Patterns, distribution, and determinants of under-and overnutrition: a population-based study of women in India. Am J Clin Nutr. 2006;84:633–40.

McLaren L, Gauvin L. Does the ‘average size’of women in the neighbourhood influence a woman’s likelihood of body dissatisfaction? Health Place. 2003;9:327–35.

Sobal J, Stunkard AJ. Socioeconomic status and obesity: a review of the literature. Psychological Bull. 1989;105:260.

Griffiths P, Bentley M. Women of higher socio-economic status are more likely to be overweight in Karnataka, India. Eur J Clin Nutr. 2005;59:1217.

Drewnowski A, Popkin BM. The nutrition transition: new trends in the global diet. Nutr Rev. 1997;55:31–43.

Steckel RH. Height and per capita income. Hist Methods. 1983;16:1–7.

Subramanian S, Özaltin E, Finlay JE. Height of nations: a socioeconomic analysis of cohort differences and patterns among women in 54 low-to middle-income countries. PLoS ONE. 2011;6:e18962.

Perkins JM, Khan KT, Smith GD, Subramanian S. Patterns and trends of adult height in India in 2005–2006. Econ Hum Biol. 2011;9:184–93.

Hübler O. The nonlinear link between height and wages in Germany, 1985–2004. Econ Hum Biol. 2009;7:191–9.

Kim R, Kawachi I, Coull BA, Subramanian SV. Patterning of individual heterogeneity in body mass index: evidence from 57 low-and middle-income countries. Eur J Epidemiol. 2018;33:741–50.

Razak F, Corsi DJ, Subramanian S. Change in the body mass index distribution for women: analysis of surveys from 37 low-and middle-income countries. PLoS Med. 2013;10:e1001367.

Krishna A, Razak F, Lebel A, Davey Smith G, Subramanian S. Trends in group inequalities and interindividual inequalities in BMI in the United States, 1993–2012–. Am J Clin Nutr. 2015;101:598–605.

Gausman J, Guevara IM, Subramanian S, Razak F. Distributional change of women’s adult height in low-and middle-income countries over the past half century: an observational study using cross-sectional survey data. PLoS Med. 2018;15:e1002568.

Razak F, Davey Smith G, Subramanian S. The idea of uniform change: is it time to revisit a central tenet of Rose’s “Strategy of Preventive Medicine”. Am J Clin Nutr. 2016;104:1497–507.

Subramanian S, Kim R, Christakis NA. The “average” treatment effect: a construct ripe for retirement. a commentary on Deaton and Cartwright. Soc Sci Med. 2018;210:77–82.

Vaezghasemi M, Razak F, Ng N, Subramanian S. Inter-individual inequality in BMI: an analysis of Indonesian Family Life Surveys (1993–2007). SSM-Popul Health. 2016;2:876–88.

IIPS. NFHS-4 (National Family Health Survey-4). India: International Institute for Population Studies; 2017.

IIPS. India National Family Health Survey (NFHS-3), 2005–06. India: International Institute for Population Sciences; 2007.

Filmer D, Pritchett LH. Estimating wealth effects without expenditure data—or tears: an application to educational enrollments in states of India. Demography. 2001;38:115–32.

Goldstein H. Heteroscedasticity and complex variation. In: Everrit B, Howell D, editors. Encyclopedia of statistics in behavioral science. Hoboken: Wiley; 2005:223–32.

Arcaya MC, Tucker-Seeley RD, Kim R, Schnake-Mahl A, So M, Subramanian S. Research on neighborhood effects on health in the United States: a systematic review of study characteristics. Soc Sci Med. 2016;168:16–29.

Goldstein H, Healy MJ, Rasbash J. Multilevel time series models with applications to repeated measures data. Stat Med. 1994;13:1643–55.

Vrieze SI. Model selection and psychological theory: a discussion of the differences between the Akaike information criterion (AIC) and the Bayesian information criterion (BIC). Psychological Methods. 2012;17:228.

Lewontin R, Levins R. Schmalhausen’s law. Capital Nat Soc. 2000;11:103–8.

Galea S, Ahern J, Karpati A. A model of underlying socioeconomic vulnerability in human populations: evidence from variability in population health and implications for public health. Soc Sci Med. 2005;60:2417–30.

Corsi DJ, Kyu HH, Subramanian S. socioeconomic and Geographic Patterning of Under-and Overnutrition among Women in Bangladesh1, 2. J Nutr. 2011;141:631–8.

Griffiths PL, Bentley ME. The nutrition transition is underway in India. J Nutr. 2001;131:2692–700.

Balarajan Y, Villamor E. Nationally representative surveys show recent increases in the prevalence of overweight and obesity among women of reproductive age in Bangladesh, Nepal, and India. J Nutr. 2009;139:2139–44.

Himmelstein DU, Levins R, Woolhandler S. Beyond our means: patterns of variability of physiological traits. Int J Health Serv. 1990;20:115–24.

Murray CJ, Gakidou EE, Frenk J. Health inequalities and social group differences: what should we measure? Bull World Health Organ. 1999;77:537.