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Coexisting Social, Economic, and Health-Related Disadvantages in More than 2.4 Million Swedes: Combining Variable-Centred and Person-Centred Approaches
Stockholm University, Faculty of Social Sciences, Aging Research Center (ARC), (together with KI).
Stockholm University, Faculty of Social Sciences, Department of Public Health Sciences, Centre for Health Equity Studies (CHESS).ORCID iD: 0000-0001-7576-9410
Stockholm University, Faculty of Social Sciences, Department of Social Work.ORCID iD: 0000-0002-8526-9396
2019 (English)In: Social Indicators Research, ISSN 0303-8300, E-ISSN 1573-0921, Vol. 143, no 1, p. 115-132Article in journal (Refereed) Published
Abstract [en]

The notion of coexisting disadvantages has been recognised in social welfare policy and welfare research, not least in the Nordic countries. The prevalence and patterning of coexisting disadvantages in society have far reaching implications for well-being, social policy, and social inequality. Using longitudinal register-based data for the years 1998‒2008 for all Swedish individuals born 1946‒1965 (n > 2.4 million), this exploratory study maps out the occurrence of coexisting disadvantages in the Swedish working-age population, and examines to what extent observed prevalence rates are associated with sex, age, immigrant status, and marital status. Coexisting disadvantages are analysed in terms of four broad register-based indicators intended to capture individuals’ resources in key areas of the society: education, income, labour market, and mental health. The results show that while most individuals are not disadvantaged in these areas, coexisting disadvantages do occur and its prevalence varies according to sex, age, immigrant status, and marital status. This study shows that combinations of person-centred and variable-centred analyses of register-based indicators can play a part when developing effective systems for policy surveillance.

Place, publisher, year, edition, pages
2019. Vol. 143, no 1, p. 115-132
Keywords [en]
Latent class analysis, Monitoring, Person-centred methods, Register data, Social exclusion, Welfare problems
National Category
Sociology Public Health, Global Health and Social Medicine
Research subject
Sociology; Public Health Sciences
Identifiers
URN: urn:nbn:se:su:diva-158766DOI: 10.1007/s11205-018-1981-5ISI: 000471313800006OAI: oai:DiVA.org:su-158766DiVA, id: diva2:1238623
Available from: 2018-08-14 Created: 2018-08-14 Last updated: 2025-02-21Bibliographically approved

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Fors, StefanAlmquist, Ylva B.Brännström, Lars

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Aging Research Center (ARC), (together with KI)Centre for Health Equity Studies (CHESS)Department of Social Work
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Social Indicators Research
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