Abstract
We used unconditional quantile regression to reveal heterogeneity in the social gradient at different levels of Body Mass Index (BMI) distribution by educational level, employment situation and neighborhood income for 1986 and 2016 in Barcelona. The contribution of these factors to changes in BMI between the years at distinct percentiles is illustrated using the Oaxaca decomposition method. It is confirmed heterogeneity in BMI values at different percentiles for both years. BMI values were higher at the upper percentiles in unemployed and people living in low-income neighborhoods. Overall, improved educational level between years helped to reduce overweight and obesity. In contrast, retired and unemployed population in low-income neighborhoods account for much of the worsening in the upper percentiles of BMI.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
