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Highlights • This paper explores the effects of four dimensions of social exclusion on self-rated health and depression among older people in China. • Lower level of exclusion from social relationships was associated with less likely to report fair or poor SRH. • Lower level of subjective feelings of exclusion was associated with less likely to report fair or poor SRH. • Lower level of subjective feeling of exclusion was associated with less likely to report depression. • Lower level of exclusion from financial products was associated with less likely to report depression. Abstract Background It is well established that social exclusion is a key social determinant of health; however, such association between social exclusion and health outcomes among older people remain a relatively under-researched area. This paper explores the effects of four dimensions of social exclusion on self-rated health and depression among older people in China. Methods This paper includes 8038 individuals aged 60 and over from the first wave national multi-stage probability sample (2014) from the China Longitudinal Aging Social Survey (CLASS). Descriptive univariate information for individual variables and four dimensions of social exclusion are presented. Multinomial and binary logistic regression models are used to examine the associations between social exclusion and self-rated health and depression. Results Older people who were in the lower level of exclusion from social relationships or subjective feelings of exclusion were significantly less likely to report fair or poor self-rated health than people in the higher level of exclusion (lower level of exclusion from social activities was significantly associated with being less likely to report poor SRH only). Older people who were in the lower level of subjective feeling of exclusion or exclusion from financial products were significantly less likely to report depression. Conclusions Different dimensions of social exclusion have different effects on self-rated health and depression. Social policies need to reflect this and efforts of services could usefully be oriented to prevent multi-dimensions of social exclusion. Ultimately, such policies should have the potential to enhance the health of older people in China. [ABSTRACT FROM AUTHOR]

Objectives: The aim of the present paper was, first, to analyze a four level biopsychosocial model to examine the interaction of various initial health behaviors and, second, their consequences with respect to the course of physical fitness (PF) and health of adults over the course of 18 years. Design: Longitudinal study based on medical examinations and self-ratings. Method: Path analysis along with latent growth curve analysis was based on the German study about the relationship of physical activity, fitness and health (1992–2010). Data were collected from 495 adults (243 women) with an average age of 45.03 years in 1992 (SD = 7.45). Participants were randomly selected from the official registers of local residents' registration offices in the community of Bad Schönborn. Results: For the mean PF and health levels in 1992, direct and indirect influences were shown on four levels including socioeconomic status and immigration on the first level, outcome expectations and stress coping strategies on the second level as well as eating patterns and physical activity on the third level; furthermore, the course of PF and the course of health (from 1992 until 2010) were affected by the initial behaviors (physical activity and eating patterns in 1992); finally PF and health were not related. Conclusions: Influences on four levels provided evidence for the complexity of PF and health (outcome level). Initial behaviors predicted current PF and health status, as well as their course. Thus, preventive measures should ensure that healthy behaviors are adopted early in adulthood. [Copyright &y& Elsevier]

Abstract: Social structures and socioeconomic patterns are the major determinants of population health. However, very few previous studies have simultaneously analysed the “social” and the “economic” indicators when addressing social determinants of health. We focus on the relevance of economic and social capital as health determinants by analysing various indicators. The aim of this paper was to analyse independent associations, and interactions, of lack of economic capital (economic hardships) and social capital (social participation, interpersonal and political/institutional trust) on various health outcomes. Data was derived from the 2009 Swedish National Survey of Public Health, based on a randomly selected representative sample of 23,153 men and 28,261 women aged 16–84 year, with a participation rate of 53.8%. Economic hardships were measured by a combined economic hardships measure including low household income, inability to meet expenses and lacking cash reserves. Social capital was measured by social participation, interpersonal (horizontal) trust and political (vertical/institutional trust) trust in parliament. Health outcomes included; (i) self-rated health, (i) psychological distress (GHQ-12) and (iii) musculoskeletal disorders. Results from multivariate logistic regression show that both measures of economic capital and low social capital were significantly associated with poor health status, with only a few exceptions. Significant interactive effects measured as synergy index were observed between economic hardships and all various types of social capital. The synergy indices ranged from 1.4 to 2.3. The present study adds to the evidence that both economic hardships and social capital contribute to a range of different health outcomes. Furthermore, when combined they potentiate the risk of poor health. [Copyright &y& Elsevier]