Guanghui Shen, Xudong Yang, Jiahui Huang, Juan Fang, Shaochang Wu, Jiayi Tang, Liujun Wu, Wang Wei, Yawen Zhen, Li Chen
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引用次数: 0
Abstract
In China, older migrant workers represent an especially vulnerable group, facing challenges to their quality of life as they grow older and move away from their hometowns. This study aimed to investigate the relationship between social integration, subjective well-being, and subjective fairness over a four-year period in a cohort of 1,394 older Chinese migrant workers aged 50 and older. Latent growth modeling showed a significant positive change over time in all three psychosocial constructs. Additionally, the parallel process latent growth modeling revealed that social integration had an indirect effect on subjective fairness by positively affecting subjective well-being, both at baseline and longitudinally. These findings highlight the crucial roles of social integration and subjective well-being in shaping subjective fairness over time in this marginalized population. Fostering social inclusion and emotional health of older migrants may have cascading benefits for social fairness. The complete longitudinal mediation suggests that improved subjective well-being serves as a mechanism translating increasing social integration into enhanced subjective fairness across the later stages of life. This study adds to our understanding of the psychological factors that can be modified to promote subjective fairness and perceived equality in migrant worker populations.
期刊介绍:
Population Health Metrics aims to advance the science of population health assessment, and welcomes papers relating to concepts, methods, ethics, applications, and summary measures of population health. The journal provides a unique platform for population health researchers to share their findings with the global community. We seek research that addresses the communication of population health measures and policy implications to stakeholders; this includes papers related to burden estimation and risk assessment, and research addressing population health across the full range of development. Population Health Metrics covers a broad range of topics encompassing health state measurement and valuation, summary measures of population health, descriptive epidemiology at the population level, burden of disease and injury analysis, disease and risk factor modeling for populations, and comparative assessment of risks to health at the population level. The journal is also interested in how to use and communicate indicators of population health to reduce disease burden, and the approaches for translating from indicators of population health to health-advancing actions. As a cross-cutting topic of importance, we are particularly interested in inequalities in population health and their measurement.