Inequality of BMI dynamics: A socioeconomic and gender perspective
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State: Public
Version: Final published version
State: Public
Version: Final published version
Serval ID
serval:BIB_8ACA73D202BA
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Inequality of BMI dynamics: A socioeconomic and gender perspective
Journal
LIVES WORKING PAPER
ISSN
2296-1658
Publication state
Published
Issued date
10/2016
Pages
1-21
Language
english
Abstract
The aim is to understand causal effects of gender, socio-economic status, and ageing on body mass index (BMI) of individuals in three industrialized countries which are characterized by different BMI distributions.
Data comes from three large population representative panel surveys in the USA, Switzerland, and Germany including about 65 000 individuals and 254'000 measurements. Individuals report up to eleven times, measured annually (Switzerland) or bi-annually (USA and Germany). We use fixed effects models to interprete causal effects and random effects models to estimate coefficients of time invariant covariates. We find that not working increases BMI in the US and Germany, in women, and in lower educated individuals. A higher income increases BMI in men and in the US. Ageing is the driving force in all countries, in particular in Germany. Women increase their BMI faster than men, and the lower educated faster than those with a higher education. We conclude that the generally more deprived individuals (women, not working, lower educated, people from less affluent countries) suffer from a comparatively stronger BMI increase over their lifetime.
Data comes from three large population representative panel surveys in the USA, Switzerland, and Germany including about 65 000 individuals and 254'000 measurements. Individuals report up to eleven times, measured annually (Switzerland) or bi-annually (USA and Germany). We use fixed effects models to interprete causal effects and random effects models to estimate coefficients of time invariant covariates. We find that not working increases BMI in the US and Germany, in women, and in lower educated individuals. A higher income increases BMI in men and in the US. Ageing is the driving force in all countries, in particular in Germany. Women increase their BMI faster than men, and the lower educated faster than those with a higher education. We conclude that the generally more deprived individuals (women, not working, lower educated, people from less affluent countries) suffer from a comparatively stronger BMI increase over their lifetime.
Keywords
SES and individual BMI | gender differences | age differences | fixed effects modeling | USA | Switzerland | Germany
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Create date
13/10/2016 8:45
Last modification date
20/08/2019 14:49