Department of Economics, Faculty of Management and Commerce, University of Fort Hare, East London, South Africa.
University of the Witwatersrand, Johannesburg, South Africa.
BMC Public Health. 2024 Aug 14;24(1):2213. doi: 10.1186/s12889-024-19676-3.
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.
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.
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.
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.
主观幸福感（SWB）和健康是每个人生活的重要方面，它们往往相互影响。这一重要性反映在大量旨在探索这种关联的文献中。然而，大多数此类文献都是基于对全国人口的抽样调查，而这些人口的特征可能与某个省份的人口特征不同。因此，本文旨在探讨感知健康与 SWB 的关系是否受到省级人口特征的调节。我们旨在通过在东开普省按年龄、性别、城乡和不同收入分类审查 SWB 与健康之间的关系，为主观幸福感和健康文献增添价值。
不同的人口特征往往与主观幸福感和健康的关联不同，因此会影响这两个变量之间的相互影响。因此，本文旨在探讨感知健康与 SWB 的关系是否受到省级人口特征的调节。本研究利用 2008 年至 2017 年南非国家收入动态调查数据，使用随机效应模型，根据上述人口特征进行分层，研究主观幸福感和健康之间的关系。
更好的感知健康状况与更高的主观幸福感相关。更高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方式不同，这导致了更高的主观幸福感和健康。健康在人口特征方面与主观幸福感的关联方式不同。
主观幸福感和健康是相互依存的，这反映在世界卫生组织（WHO）和联合国（UN）的声明中。更高的收入和教育水平以及就业与更高的 SWB 和健康相关。因此，改善这些经济成果可能与 WHO 和 UN 所期望的幸福感和健康的改善有关。省份不同，不同的人口特征往往与主观幸福感和健康的关联方式不同，因此会影响这两个变量之间的相互影响。健康改善政策必须考虑主观幸福感。幸福感改善政策需要认识到省级和人口特征的差异。
