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Social Inequalities of Functioning and Perceived Health in Switzerland–A Representative Cross-Sectional Analysis

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  • Jan D Reinhardt
  • Erik von Elm
  • Christine Fekete
  • Johannes Siegrist

Abstract

Many people worldwide live with a disability, i.e. limitations in functioning. The prevalence is expected to increase due to demographic change and the growing importance of non-communicable disease and injury. To date, many epidemiological studies have used simple dichotomous measures of disability, even though the WHO's International Classification of Functioning, Disability, and Health (ICF) provides a multi-dimensional framework of functioning. We aimed to examine associations of socio-economic status (SES) and social integration in 3 core domains of functioning (impairment, pain, limitations in activity and participation) and perceived health. We conducted a secondary analysis of representative cross-sectional data of the Swiss Health Survey 2007 including 10,336 female and 8,424 male Swiss residents aged 15 or more. Guided by a theoretical ICF-based model, 4 mixed effects Poisson regressions were fitted in order to explain functioning and perceived health by indicators of SES and social integration. Analyses were stratified by age groups (15–30, 31–54, ≥55 years). In all age groups, SES and social integration were significantly associated with functional and perceived health. Among the functional domains, impairment and pain were closely related, and both were associated with limitations in activity and participation. SES, social integration and functioning were related to perceived health. We found pronounced social inequalities in functioning and perceived health, supporting our theoretical model. Social factors play a significant role in the experience of health, even in a wealthy country such as Switzerland. These findings await confirmation in other, particularly lower resourced settings.

Suggested Citation

  • Jan D Reinhardt & Erik von Elm & Christine Fekete & Johannes Siegrist, 2012. "Social Inequalities of Functioning and Perceived Health in Switzerland–A Representative Cross-Sectional Analysis," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-7, June.
    • Handle: RePEc:plo:pone00:0038782
    DOI: 10.1371/journal.pone.0038782
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    References listed on IDEAS

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    1. Schoeni, R.F. & Martin, L.G. & Andreski, P.M. & Freedman, V.A., 2005. "Persistent and growing socioeconomic disparities in disability among the elderly: 1982-2002," American Journal of Public Health, American Public Health Association, vol. 95(11), pages 2065-2070.
    2. Jan Reinhardt & Ulrich Mansmann & Bernd Fellinghauer & Ralf Strobl & Eva Grill & Erik Elm & Gerold Stucki, 2011. "Functioning and disability in people living with spinal cord injury in high- and low-resourced countries: a comparative analysis of 14 countries," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 56(3), pages 341-352, June.
    3. Rautio, Nina & Heikkinen, Eino & Ebrahim, Shah, 2005. "Socio-economic position and its relationship to physical capacity among elderly people living in Jyväskylä, Finland: five- and ten-year follow-up studies," Social Science & Medicine, Elsevier, vol. 60(11), pages 2405-2416, June.
    4. Huisman, Martijn & Kunst, Anton E. & Mackenbach, Johan P., 2003. "Socioeconomic inequalities in morbidity among the elderly; a European overview," Social Science & Medicine, Elsevier, vol. 57(5), pages 861-873, September.
    5. Stanislav Kolenikov, 2009. "Confirmatory factor analysis using confa," Stata Journal, StataCorp LP, vol. 9(3), pages 329-373, September.
    6. Brekke, Mette & Hjortdahl, Per & Kvien, Tore K., 2002. "Severity of musculoskeletal pain: relations to socioeconomic inequality," Social Science & Medicine, Elsevier, vol. 54(2), pages 221-228, January.
    7. Gaétan Lafortune & Gaëlle Balestat, 2007. "Trends in Severe Disability Among Elderly People: Assessing the Evidence in 12 OECD Countries and the Future Implications," OECD Health Working Papers 26, OECD Publishing.
    8. Bickenbach, Jerome E. & Chatterji, Somnath & Badley, E. M. & Üstün, T. B., 1999. "Models of disablement, universalism and the international classification of impairments, disabilities and handicaps," Social Science & Medicine, Elsevier, vol. 48(9), pages 1173-1187, May.
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    1. Christine Fekete & Johannes Siegrist & Jan D Reinhardt & Martin W G Brinkhof & for the SwiSCI Study Group, 2014. "Is Financial Hardship Associated with Reduced Health in Disability? The Case of Spinal Cord Injury in Switzerland," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-7, February.

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