PDF(Pubmed)
Abstract：
BACKGROUND: Subjective wellbeing (SWB) and health are important facets of any person\'s life, and they tend to influence each other. This importance is reflected in the vastness of literature aiming to explore this association. However, most of this literature is based on sampling national population which may present different population characteristics to those of a province. Thus, the paper aims to investigate if the association between perceived health and SWB is moderated by population characteristics at a provincial level. We intend to add value to subjective wellbeing and health literature by reviewing the relationship between SWB and health in the Eastern Cape stratified by age, gender, rural and urban and different income classifications.
METHODS: Different population characteristics tend to associate to subjective wellbeing and health differently, therefore influencing how these two variables influence each other. Thus, the paper aims to investigate if the association between perceived health and SWB is moderated by population characteristics at a provincial level. Utilising the South African National Income Dynamics Survey from 2008 to 2017, this study examined the relationship between subjective wellbeing and health using a random effects model stratified according to aforementioned population characteristics.
RESULTS: A better perceived health status is associated with higher subjective wellbeing. A better subjective wellbeing is also associated with a higher health status. Determinants of subjective wellbeing and health associate with these variables differently besides income and employment which led to higher subjective wellbeing and health. Health associates to subjective wellbeing different across populations characteristics.
CONCLUSIONS: Subjective wellbeing and health are interdependent as reflected in the World Health Organisation (WHO) and United Nation (UN) statements. Higher income and level of education and being employed is associated with both higher SWB and health. Therefore, improving these economic outcomes maybe associated with an improvement in well-being and health as desired by WHO and UN. Provinces differ, and different population characteristics tend to associate with subjective wellbeing and health differently, therefore influencing how these two variables influence each other. Health improvement policies must consider subjective wellbeing. Well-being improvement policies need to be cognisant of the differences in provincial and population characteristics.
METHODS: Different population characteristics tend to associate to subjective wellbeing and health differently, therefore influencing how these two variables influence each other. Thus, the paper aims to investigate if the association between perceived health and SWB is moderated by population characteristics at a provincial level. Utilising the South African National Income Dynamics Survey from 2008 to 2017, this study examined the relationship between subjective wellbeing and health using a random effects model stratified according to aforementioned population characteristics.
RESULTS: A better perceived health status is associated with higher subjective wellbeing. A better subjective wellbeing is also associated with a higher health status. Determinants of subjective wellbeing and health associate with these variables differently besides income and employment which led to higher subjective wellbeing and health. Health associates to subjective wellbeing different across populations characteristics.
CONCLUSIONS: Subjective wellbeing and health are interdependent as reflected in the World Health Organisation (WHO) and United Nation (UN) statements. Higher income and level of education and being employed is associated with both higher SWB and health. Therefore, improving these economic outcomes maybe associated with an improvement in well-being and health as desired by WHO and UN. Provinces differ, and different population characteristics tend to associate with subjective wellbeing and health differently, therefore influencing how these two variables influence each other. Health improvement policies must consider subjective wellbeing. Well-being improvement policies need to be cognisant of the differences in provincial and population characteristics.
摘要：
背景：主观幸福感（SWB）和健康是任何人生活的重要方面，他们倾向于相互影响。这种重要性反映在旨在探索这种关联的大量文献中。然而,这些文献中的大多数是基于抽样的全国人口，这些人口可能呈现出与一个省不同的人口特征。因此，本文旨在调查健康感知与SWB之间的关联是否受省级人群特征的影响.我们打算通过回顾按年龄分层的东开普省SWB与健康之间的关系，为主观健康和健康文献增加价值，性别,农村和城市以及不同的收入分类。
方法：不同的人群特征往往与主观幸福感和健康有不同的关联，因此影响这两个变量如何相互影响。因此，本文旨在调查健康感知与SWB之间的关联是否受省级人群特征的影响.利用2008年至2017年的南非国民收入动态调查，本研究使用根据上述人口特征分层的随机效应模型研究了主观幸福感与健康之间的关系。
结果：更好的感知健康状况与更高的主观幸福感相关。更好的主观幸福感也与更高的健康状况相关。除了收入和就业之外，主观幸福感和健康的决定因素与这些变量的关联也有所不同，这导致了更高的主观幸福感和健康。健康关联到不同人群特征的主观幸福感。
结论：世界卫生组织（WHO）和联合国（UN）的声明反映了主观福祉和健康是相互依存的。较高的收入和教育水平以及就业与较高的SWB和健康有关。因此,改善这些经济成果可能与世界卫生组织和联合国所期望的福祉和健康的改善有关。各省不同,不同的人群特征往往与主观幸福感和健康有不同的联系，因此影响这两个变量如何相互影响。健康改善政策必须考虑主观幸福感。福祉改善政策需要认识到省和人口特征的差异。
方法：不同的人群特征往往与主观幸福感和健康有不同的关联，因此影响这两个变量如何相互影响。因此，本文旨在调查健康感知与SWB之间的关联是否受省级人群特征的影响.利用2008年至2017年的南非国民收入动态调查，本研究使用根据上述人口特征分层的随机效应模型研究了主观幸福感与健康之间的关系。
结果：更好的感知健康状况与更高的主观幸福感相关。更好的主观幸福感也与更高的健康状况相关。除了收入和就业之外，主观幸福感和健康的决定因素与这些变量的关联也有所不同，这导致了更高的主观幸福感和健康。健康关联到不同人群特征的主观幸福感。
结论：世界卫生组织（WHO）和联合国（UN）的声明反映了主观福祉和健康是相互依存的。较高的收入和教育水平以及就业与较高的SWB和健康有关。因此,改善这些经济成果可能与世界卫生组织和联合国所期望的福祉和健康的改善有关。各省不同,不同的人群特征往往与主观幸福感和健康有不同的联系，因此影响这两个变量如何相互影响。健康改善政策必须考虑主观幸福感。福祉改善政策需要认识到省和人口特征的差异。
