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How to Enhance Social Participation and Well-Being in (Formerly) Homeless Clients: A Structural Equation Modelling Approach

Author

Listed:
  • Miranda Rutenfrans-Stupar

    (Tranzo, Tilburg University
    SMO Breda)

  • Tine Regenmortel

    (Tranzo, Tilburg University
    University of Leuven)

  • René Schalk

    (Tranzo, Tilburg University
    North-West University)

Abstract

In the present study we examined care-related and demographic predictors of well-being among 225 (formerly) homeless clients of a Dutch organisation providing shelter services and ambulatory care (shelter facility). The role of social participation as a mediator was considered. Social participation is important for homeless people, as they are often socially isolated. Moreover, social participation enhances well-being and induces happiness. In this study we used the following care-related predictors: (1) participation in various group activities in the shelter facility, and (2) client’s experiences with care, such as their satisfaction with the social worker and the shelter facility. Additionally, age and education level were included as demographic predictors. Results from Structural Equation Modelling show that the client’s experiences with care and education level are predictors of well-being with a mediating role for social participation, and that participation in activities at the shelter facility is a direct predictor of well-being. However, age is not significantly related to social participation or well-being. We suggest that interventions for the homeless should be based on a combination of individual and group approaches. Special attention should be given to the client–worker relationship. We also recommend that vulnerable children are provided with solid education, and we call for research into the cost-effectiveness of group-based interventions.

Suggested Citation

  • Miranda Rutenfrans-Stupar & Tine Regenmortel & René Schalk, 2019. "How to Enhance Social Participation and Well-Being in (Formerly) Homeless Clients: A Structural Equation Modelling Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(1), pages 329-348, August.
  • Handle: RePEc:spr:soinre:v:145:y:2019:i:1:d:10.1007_s11205-019-02099-8
    DOI: 10.1007/s11205-019-02099-8
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    References listed on IDEAS

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    1. Levasseur, Mélanie & Richard, Lucie & Gauvin, Lise & Raymond, Émilie, 2010. "Inventory and analysis of definitions of social participation found in the aging literature: Proposed taxonomy of social activities," Social Science & Medicine, Elsevier, vol. 71(12), pages 2141-2149, December.
    2. Sherbourne, Cathy Donald & Stewart, Anita L., 1991. "The MOS social support survey," Social Science & Medicine, Elsevier, vol. 32(6), pages 705-714, January.
    3. Claire Wallace & Florian Pichler, 2009. "More Participation, Happier Society? A Comparative Study of Civil Society and the Quality of Life," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 93(2), pages 255-274, September.
    4. Robert Biswas-Diener & Ed Diener, 2006. "The Subjective Well-Being of the Homeless, and Lessons for Happiness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 76(2), pages 185-205, April.
    5. Zima, B.T. & Bussing, R. & Forness, S.R. & Benjamin, B., 1997. "Sheltered homeless children: Their eligibility and unmet need for special education evaluations," American Journal of Public Health, American Public Health Association, vol. 87(2), pages 236-240.
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    1. Naina J Ahuja & Allison Nguyen & Sandra J Winter & Mark Freeman & Robert Shi & Patricia Rodriguez Espinosa & Catherine A Heaney, 2020. "Well-Being without a Roof: Examining Well-Being among Unhoused Individuals Using Mixed Methods and Propensity Score Matching," IJERPH, MDPI, vol. 17(19), pages 1-13, October.

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