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      Social trust, interpersonal trust and self-rated health in China: a multi-level study

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          Abstract

          Background

          Trust is important for health at both the individual and societal level. Previous research using Western concepts of trust has shown that a high level of trust in society can positively affect individuals’ health; however, it has been found that the concepts and culture of trust in China are different from those in Western countries and research on the relationship between trust and health in China is scarce.

          Method

          The analyses use data from the national scale China General Social Survey (CGSS) on adults aged above 18 in 2005 and 2010. Two concepts of trust (“out-group” and “in-group” trust) are used to examine the relationship between trust and self-rated health in China. Multilevel logistical models are applied, examining the trust at the individual and societal level on individuals’ self-rated health.

          Results

          In terms of interpersonal trust, both “out-group” and “in-group” trust are positively associated with good health in 2005 and 2010. At the societal level, the relationships between the two concepts of trust and health are different. In 2005, higher “out-group” social trust (derived from trust in strangers) is positively associated with better health; however, higher “in-group” social trust (derived from trust in most people) is negatively associated with good health in 2010. The cross-level interactions show that lower educated individuals (no education or only primary level), rural residents and those on lower incomes are the most affected groups in societies with higher “out-group” social trust; whereas people with lower levels of educational attainment, a lower income, and those who think that most people can be trusted are the most affected groups in societies with higher “in-group” social trust.

          Conclusion

          High levels of interpersonal trust are of benefit to health. Higher “out-group” social trust is positively associated with better health; while higher “in-group” social trust is negatively associated with good health. Individuals with different levels of educational attainment are affected by trust differently.

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          Most cited references20

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          Social capital and self-rated health: a contextual analysis.

          Social capital consists of features of social organization--such as trust between citizens, norms of reciprocity, and group membership--that facilitate collective action. This article reports a contextual analysis of social capital and individual self-rated health, with adjustment for individual household income, health behaviors, and other covariates. Self-rated health ("Is your overall health excellent, very good, good, fair, or poor?") was assessed among 167,259 individuals residing in 39 US states, sampled by the Behavioral Risk Factor Surveillance System. Social capital indicators, aggregated to the state level, were obtained from the General Social Surveys. Individual-level factors (e.g., low income, low education, smoking) were strongly associated with self-rated poor health. However, even after adjustment for these proximal variables, a contextual effect of low social capital on risk of self-rated poor health was found. For example, the odds ratio for fair or poor health associated with living in areas with the lowest levels of social trust was 1.41 (95% confidence interval = 1.33, 1.50) compared with living in high-trust states. These results extend previous findings on the health advantages stemming from social capital.
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            Social trust and self-rated health in US communities: a multilevel analysis.

            This study assessed the contextual and individual effects of social trust on health. Methods consisted of a multilevel regression analysis of self-rated poor health among 21,456 individuals nested within 40 US communities included in the 2000 Social Capital Community Benchmark Survey. Controlling for demographic covariates, a strong income and education gradient was observed for self-rated health. Higher levels of community social trust were associated with a lower probability of reporting poor health. Individual demographic and socioeconomic predictors did not explain the association of community social trust with self-rated health. Controlling for individual trust perception, however, rendered the main effect of community social trust statistically insignificant, but a complex interaction effect was observed, such that the health-promoting effect of community social trust was significantly greater for high-trust individuals. For low-trust individuals, the effect of community social trust on self-rated health was the opposite. Using the latest data available on community social trust, we conclude that the role of community social trust in explaining average population health achievements and health inequalities is complex and is contingent on individual perceptions of social trust. Future multilevel investigations of social capital and population health should routinely consider the cross-level nature of community or neighborhood effects.
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              A comparison of Bayesian and likelihood-based methods for fitting multilevel models

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                Author and article information

                Contributors
                Z.Feng@soton.ac.uk
                A.Vlachantoni@soton.ac.uk
                +86 18258161845 , xtliu@zju.edu.cn
                Kelvin.Jones@bristol.ac.uk
                Journal
                Int J Equity Health
                Int J Equity Health
                International Journal for Equity in Health
                BioMed Central (London )
                1475-9276
                8 November 2016
                8 November 2016
                2016
                : 15
                : 180
                Affiliations
                [1 ]Centre for Research on Ageing, Social Sciences, Faculty of Social, Human and Mathematical Sciences, University of Southampton, Southampton, UK
                [2 ]Centre for Research on Ageing and ESRC Centre for Population Change, Social Sciences, Faculty of Social, Human and Mathematical Sciences, University of Southampton, Southampton, UK
                [3 ]School of Public Affairs, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang Province 310058 China
                [4 ]School of Geographical Sciences, University of Bristol, Bristol, UK
                Author information
                http://orcid.org/0000-0002-8386-9515
                Article
                469
                10.1186/s12939-016-0469-7
                5101682
                27825358
                c48cd6d4-c3e0-4f57-b6ec-a9e92e240653
                © The Author(s). 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 9 May 2016
                : 31 October 2016
                Funding
                Funded by: A project of the National Social Science Foundation of China
                Award ID: 14CSH056
                Award Recipient :
                Funded by: Center for Labor Economics and Public Policy Studies of Zhejiang University
                Funded by: Fundamental Research Funds for the Central Universities
                Categories
                Research
                Custom metadata
                © The Author(s) 2016

                Health & Social care
                china,“in-group” trust,“out-group” trust,self-rated health,multi-level modelling

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