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Social Quality and Health: Examining Individual and Neighbourhood Contextual Effects Using a Multilevel Modelling Approach

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  • Daniel Holman

    (University of Sheffield)

  • Alan Walker

    (University of Sheffield)

Abstract

Social quality focusses on the nature of ‘the social’, arguing that people are realised as social beings through interacting with a range of collectives, both from the formal world of systems and the informal lifeworld. Four conditional factors are necessary for this to occur, which at the same time are assumed to influence health and well-being: socio-economic security, social cohesion, social inclusion and social empowerment. In this paper we test the utility of social quality in explaining self-rated health as a response to arguments that the social determinants of health (SDH) framework often lacks a theoretical basis. We use multilevel models to analyse national English and Welsh data (the Citizenship Survey) to test for both individual- and neighbour-level affects. Our key findings are that (1) neighbourhood contextual (cross-level) effects are present with respect to collective action, personal trust, cross-cutting ties, income sufficiency, and income security; (2) measures of national, community and personal identity as indicators of social cohesion show clear associations with health alongside more common measures such as trust; (3) the security aspects of socioeconomic determinants are especially important (housing security, income sufficiency, and income security); (4) social rights, including institutional rights but especially civil rights have effects of particularly large magnitude. Social quality offers a theoretically-driven perspective on the SDH which has important policy implications and suggests a number of promising avenues for future research.

Suggested Citation

  • Daniel Holman & Alan Walker, 2018. "Social Quality and Health: Examining Individual and Neighbourhood Contextual Effects Using a Multilevel Modelling Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(1), pages 245-270, July.
  • Handle: RePEc:spr:soinre:v:138:y:2018:i:1:d:10.1007_s11205-017-1640-2
    DOI: 10.1007/s11205-017-1640-2
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    References listed on IDEAS

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    1. Pamela Abbott & Claire Wallace, 2012. "Social Quality: A Way to Measure the Quality of Society," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 108(1), pages 153-167, August.
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    Cited by:

    1. Reeves, Aaron & Mackenbach, Johan P., 2019. "Can inequalities in political participation explain health inequalities?," Social Science & Medicine, Elsevier, vol. 234(C), pages 1-1.
    2. Woong Lee & Ran Im, 2023. "An Empirical Assessment of the Interactionist Model: The Relationship Between Household Income and Depression Among Retirees in Korea," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 18(2), pages 729-751, April.
    3. Quan-Hoang Vuong & Manh-Tung Ho & Hong-Kong T. Nguyen & Thu-Trang Vuong & Trung Tran & Khanh-Linh Hoang & Thi-Hanh Vu & Phuong-Hanh Hoang & Minh-Hoang Nguyen & Manh-Toan Ho & Viet-Phuong La, 2020. "On how religions could accidentally incite lies and violence: folktales as a cultural transmitter," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-13, December.
    4. Yang Li & Dario Spini & Dimitrios Lampropoulos, 2023. "Beyond Geography: Social Quality Environments and Health," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 166(2), pages 365-379, April.

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