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Background: There is a well-documented social gradient in obesity in most developed countries. Many previous studies have conventionally categorised individuals according to their body mass index (BMI), focusing on those above a certain threshold and thus ignoring a large amount of the BMI distribution. Others have used linear BMI models, relying on mean effects that may mask substantial heterogeneity in the effects of socioeconomic variables across the population., Method: In this study, we measure the social gradient of the BMI distribution of the adult population in Spain over the past two decades (1993-2014), using unconditional quantile regressions. We use three socioeconomic variables (education, income and social class) and evaluate differences in the corresponding effects on different percentiles of the log-transformed BMI distribution. Quantile regression methods have the advantage of estimating the socioeconomic effect across the whole BMI distribution allowing for this potential heterogeneity., Results: The results showed a large and increasing social gradient in obesity in Spain, especially among females. There is, however, a large degree of heterogeneity in the socioeconomic effect across the BMI distribution, with patterns that vary according to the socioeconomic indicator under study. While the income and educational gradient is greater at the end of the BMI distribution, the main impact of social class is around the median BMI values. A steeper social gradient is observed with respect to educational level rather than household income or social class., Conclusion: The findings of this study emphasise the heterogeneous nature of the relationship between social factors and obesity across the BMI distribution as a whole. Quantile regression methods might provide a more suitable framework for exploring the complex socioeconomic gradient of obesity.

Reducing avoidable inequalities in health is a priority in many health care systems, including the NHS in Great Britain. Evidence suggests that lifestyle factors may play a role in explaining socioeconomic inequalities in health. In this paper we measure the contribution of smoking and obesity to income-related inequality in health. We use the corrected concentration index to measure inequality across time and areas of England, and decomposition methods to quantify directly the contribution of smoking and obesity to income-related inequality. Instrumental variables regression is used to test the endogeneity of smoking and obesity. We use data from nine rounds of the Health Survey for England (1998-2006). The results show that there are significant income-related health inequalities in England, that the extent of the inequality varies by area, and that in some areas it has increased over time. Nationally, smoking and obesity make a significant but modest contribution to income-related inequality in health (2.3% and 1.2%, respectively). Despite the reduction in smoking prevalence, the contribution of smoking has slightly increased over time, due to its increasing concentration among the poor and its negative effect on health. While the prevalence of obesity is increasing, it is more equally distributed across society. The prevalence of these problems varies between areas, and so does the contribution they make to income-related inequalities in health., (Copyright 2010 Elsevier Ltd. All rights reserved.)

Obesity is increasingly becoming a source of discrimination in many domains of living, including at the workplace. In this study, we estimate obesity-related discrimination in work settings in Spain and explore its potential sources. We use data from the European Health Interview Survey conducted in 2009-2010. Our models control for a comprehensive set of demographic, socioeconomic, health, and work-related sickness characteristics. We run separate models for women and men, and stratify by type of occupation and by area obesity prevalence. Our results indicate that weight-related discrimination in work settings in Spain is concentrated among women with morbid obesity, particularly among those working in customer-facing jobs and living in areas with low-obesity prevalence. These findings emphasize the persistence of the gendered nature of obesity-related discrimination, and provide evidence of a form of induced statistical discrimination. Employers’ expectations of lower returns from obese workers in customer facing jobs might be driven by customers’ preferences caused by social stigma. Furthermore, the role of area-obesity prevalence highlights the impact of cultural social norms even within the same country. [ABSTRACT FROM AUTHOR]