title: Unconditional quantile regressions to determine the social gradient of obesity in Spain 1993-2014.
abstract: 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.
  
  
  
  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.
  
  
  
  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.
  
  
  
  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.
authors.affiliation: Department of Quantitative Methods, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain. alejandro.rodriguez@ulpgc.es.
authors.forename: Alejandro
authors.identifier: 0000-0002-8080-3094
authors.initials: A
authors.lastname: Rodriguez-Caro
authors.affiliation: UCL Department of Applied Health Research, UCL, University College London, Gower Street, London, WC1E 6BT, UK.
authors.forename: Laura
authors.initials: L
authors.lastname: Vallejo-Torres
authors.affiliation: Department of Quantitative Methods, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.
authors.forename: Beatriz
authors.initials: B
authors.lastname: Lopez-Valcarcel
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D015992:Body Mass Index; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D007182:Income; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000453:epidemiology*; D012044:Regression Analysis; D017678:Sex Distribution; D012923:Social Class; D012959:Socioeconomic Factors; D013030:Spain / Q000453:epidemiology; D055815:Young Adult
keywords: Obesity; Social inequalities; Unconditional quantile regression