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  • 1.
    Vågerö, Denny
    et al.
    Södertörns högskola, SCOHOST (Stockholm Centre on Health of Societies in Transition).
    Ferlander, Sara
    Södertörns högskola, Sweden.
    Leinsalu, Mall
    Södertörns högskola, Sweden.
    Mäkinen, Ilkka Henrik
    Södertörns högskola, Sweden.
    Stickley, Andrew
    Södertörns högskola, Sweden.
    Unhealthy Societies?: Health Stagnation and Growing Health Inequalities Are Not Consistent with Sustainable Development2006Inngår i: Realizing a Common Vision for a Baltic Sea Eco-Region: Report from a Research Symposium on Sustainable Development Patterns 28-29 October 2005 / [ed] Lars Rydén, Uppsala: Baltic University Programme , 2006, s. 39-46Konferansepaper (Fagfellevurdert)
  • 2.
    Vågerö, Denny
    et al.
    Södertörns högskola, SCOHOST (Stockholm Centre on Health of Societies in Transition).
    Kislitsyna, Olga
    Södertörns högskola, SCOHOST (Stockholm Centre on Health of Societies in Transition).
    Ferlander, Sara
    Mälardalens universitet, Akademin för hälsa, vård och välfärd, Hälsa och välfärd. Södertörns högskola, Sweden.
    Migranova, Ludmila
    Carlson, Per
    Mid Sweden University.
    Rimachevskaya, Natalia
    Moscow Health Survey 2004: social surveying under difficult circumstances2008Inngår i: International Journal of Public Health, ISSN 1661-8556, E-ISSN 1661-8564, Vol. 53, nr 4, s. 171-179Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Objectives: The aim of this paper is to present the Moscow Health Survey 2004, which was designed to examine health inequalities in Moscow. In particular we want to discuss social survey problems, such as non-response, in Moscow and Russia. Methods: Interviews, covering social and economic circumstances, health and social trust, of a stratified random sample of the greater Moscow population, aged 18+. Reasons for nonresponse were noted down with great care. Odds ratios (ORs) for self-rated health by gender and by six social dimensions were estimated separately for districts with low and high response rates. Bias due to non-response is discussed. Results and conclusions: About one in two (53.1 %) of approached individuals could not be interviewed, resulting in 1190 completed interviews. Non-response in most Russian surveys, but perhaps particularly in Moscow, is large, partly due to fear of strangers and distrust of authorities. ORs for poor health vary significantly by gender, occupational class, education and economic hardship. We find no significant differences in these ORs when comparing districts with low and high response rates. Non-response may be a problem when estimating prevalence rates or population means, but much less so when estimating odds ratios in multivariate analyses.

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