Causal effects of socioeconomic status on central adiposity risks: Evidence using panel data from urban Mexico

Pierre Levasseur ()

Social Science & Medicine, 2015, vol. 136-137, 165-174

Abstract: Associated with overweight, obesity and chronic diseases, the nutrition transition process reveals important socioeconomic issues in Mexico. Using panel data from the Mexican Family Life Survey, the purpose of the study is to estimate the causal effect of household socioeconomic status (SES) on nutritional outcomes among urban adults. We divide the analysis into two steps. First, using a mixed clustering procedure, we distinguish four socioeconomic classes based on income, educational and occupational dimensions: (i) a poor class; (ii) a lower–middle class; (iii) an upper–middle class; (iv) a rich class. Second, using an econometric framework adapted to our study (the Hausman-Taylor estimator), we measure the impact of belonging to these socioeconomic groups on individual anthropometric indicators, based on the body-mass index (BMI) and the waist-to-height ratio (WHtR). Our results make several contributions: (i) we show that a new middle class, rising out of poverty, is the most exposed to the risks of adiposity; (ii) as individuals from the upper class seem to be fatter than individuals from the upper–middle class, we can reject the assumption of an inverted U-shaped relationship between socioeconomic and anthropometric status as commonly suggested in emerging economies; (iii) the influence of SES on central adiposity appears to be particularly strong for men.

Keywords: Mexico; Socioeconomic status; Clustering method; Nutrition transition; Obesity; Overweight; Anthropometric indicators; Central adiposity (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (11)

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Working Paper: Causal effects of socioeconomic status on central adiposity risks: Evidence using panel data from urban Mexico (2015)
Working Paper: Causal effects of socioeconomic status on central adiposity risks: Evidence using panel data from urban Mexico (2014)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:socmed:v:136-137:y:2015:i::p:165-174

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DOI: 10.1016/j.socscimed.2015.05.018

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