美国的主观健康和幸福:社会经济地位指标影响的性别差异。

Najmeh Maharlouei, Sharon Cobb, Mohsen Bazargan, Shervin Assari
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引用次数: 11

摘要

背景:教育、就业和婚姻状况是与主观健康和幸福相关的主要社会经济地位(SES)指标。然而,这些社会经济地位指标的影响对不同的人口群体可能是不同的。目的:为了了解社会经济地位指标对男性和女性的影响是否不同,我们测试了教育、就业和婚姻状况对美国成年人主观健康和幸福的影响的性别差异。方法:本横断面研究使用了综合社会调查(GSS)的数据,这是1972年至2018年在美国进行的一系列具有全国代表性的调查。我们的分析样本包括65,814名成年人。主要自变量为受教育程度、婚姻状况和就业情况。结果是自评健康(SRH)和幸福使用单项测量。年龄和研究年份是协变量。性别是调节因素。结果:总体而言,高等教育、就业和结婚与更好的SRH和幸福感有关。然而,我们发现性别、受教育程度、婚姻状况和就业对结果有显著的相互作用,这表明高等教育和婚姻状况对女性的影响更大。相比之下,就业对男性的影响更大。与幸福相比,在SRH的结果中观察到一些不一致之处。结论:在美国,虽然教育、就业和婚姻状况是主观健康和幸福的关键社会决定因素,但这些影响在男女之间有所不同。男性的结果似乎更强烈地受到就业的影响,而女性的结果更强烈地受到教育和婚姻状况的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Subjective Health and Happiness in the United States: Gender Differences in the Effects of Socioeconomic Status Indicators.

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.

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