Najmeh Maharlouei1,2, Sharon Cobb3, Mohsen Bazargan2,4, Shervin Assari2. 1. Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran. 2. Department of Family Medicine, Charles R Drew University of Medicine and Science, Los Angeles, CA. 3. School of Nursing, Charles R Drew University of Medicine and Science, Los Angeles, CA. 4. Department of Family Medicine, UCLA, Los Angeles, CA.
Abstract
BACKGROUND: Education, employment, and marital status are among the main socioeconomic status (SES) indicators that are associated with subjective health and happiness. The effects of these SES indicators may, however, be different for various demographic groups. AIMS: To understand if SES indicators differently impact men and women, we tested gender differences in the effects of education, employment, and marital status on the subjective health and happiness of American adults. METHODS: This cross-sectional study used data of the General Social Survey (GSS), a series of nationally representative surveys between 1972 and 2018 in the US. Our analytical sample included 65,814 adults. The main independent variables were education attainment, marital status, and employment. Outcomes were self-rated health (SRH) and happiness measured using single items. Age and year of the study were covariates. Gender was the moderator. RESULTS: Overall, high education, being employed, and being married were associated with better SRH and happiness. We, however, found significant interactions between gender and educational attainment, marital status, and employment on the outcomes, which suggested that the effect of high education and marital status were stronger for women. In comparison, the effect of employment was stronger for men. Some inconsistencies in the results were observed for SRH compared to happiness. CONCLUSIONS: In the United States, while education, employment, and marital status are critical social determinants of subjective health and happiness, these effects vary between women and men. Men's outcomes seem to be more strongly shaped by employment, while women's outcomes are more strongly shaped by education and marital status.
BACKGROUND: Education, employment, and marital status are among the main socioeconomic status (SES) indicators that are associated with subjective health and happiness. The effects of these SES indicators may, however, be different for various demographic groups. AIMS: To understand if SES indicators differently impact men and women, we tested gender differences in the effects of education, employment, and marital status on the subjective health and happiness of American adults. METHODS: This cross-sectional study used data of the General Social Survey (GSS), a series of nationally representative surveys between 1972 and 2018 in the US. Our analytical sample included 65,814 adults. The main independent variables were education attainment, marital status, and employment. Outcomes were self-rated health (SRH) and happiness measured using single items. Age and year of the study were covariates. Gender was the moderator. RESULTS: Overall, high education, being employed, and being married were associated with better SRH and happiness. We, however, found significant interactions between gender and educational attainment, marital status, and employment on the outcomes, which suggested that the effect of high education and marital status were stronger for women. In comparison, the effect of employment was stronger for men. Some inconsistencies in the results were observed for SRH compared to happiness. CONCLUSIONS: In the United States, while education, employment, and marital status are critical social determinants of subjective health and happiness, these effects vary between women and men. Men's outcomes seem to be more strongly shaped by employment, while women's outcomes are more strongly shaped by education and marital status.
Authors: Wen Xu; Haiyan Sun; Bo Zhu; Wei Bai; Xiao Yu; Ruixin Duan; Changgui Kou; Wenjun Li Journal: Int J Environ Res Public Health Date: 2019-07-18 Impact factor: 3.390