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Data from: Age and gender differential relationship between employment status and body mass index among middle aged and elderly adults: a cross-sectional study

Noh, Jin-Won, Eulji University
Kim, Jinseok, Seoul Women's University
Park, Jumin, National Institutes of Health Clinical Center
Oh, In-Hwan, Kyung Hee University
Kwon, Young Dae, Catholic University of Korea
Published Oct 31, 2016 on Dryad. https://doi.org/10.5061/dryad.ng8mn

Cite this dataset

Noh, Jin-Won et al. (2016). Data from: Age and gender differential relationship between employment status and body mass index among middle aged and elderly adults: a cross-sectional study [Dataset]. Dryad. https://doi.org/10.5061/dryad.ng8mn

Abstract

Objective: To determine the influence of age and gender respectively on the association between employment status and body mass index (BMI) in Korean adults using a large, nationally representative sample. Design: Cross-sectional study. Setting: South Korea. Participants: 7,228 from fourth wave of the Korean Longitudinal Study of Aging (KLoSA), the survey short form and year: “KLoSA 2012”. Main outcome measures: body mass index. Results: BMI among the employed was higher than among the unemployed for those under 60. In terms of gender, employed males reported higher BMI than their unemployed counterparts, whereas employed females reported lower BMI than did unemployed females. Conclusions: Employment status showed varying impacts on obesity by age and gender. Both unemployment at or after 60, as well as unemployment among females, is associated with increased BMI compared with unemployment among younger individuals or males, respectively.

Usage notes

KLoSA2012_subdata_agegenderemploy_BMI

This data file includes a subset from the KLoSA 2012 data. This data was used in the study entitled "Age and gender differential relationship between employment status and body mass index among middle aged and elderly adults: A cross-sectional study" that was published in BMJ Open. In the data set, variables coded as following: age_gr (0: <60; 1: 60~74; 2: >=75), alcohol (0: normal; 1: addictive or excessive drinking), w04edu (1<=elementary school grad.; 2: junior high grad.; 3: high school grad.; 4: college grad. or higher).