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  • Björk, JonasLund University,Lunds universitet,Avdelningen för arbets- och miljömedicin,Institutionen för laboratoriemedicin,Medicinska fakulteten,Division of Occupational and Environmental Medicine, Lund University,Department of Laboratory Medicine,Faculty of Medicine,Skåne University Hospital (author)

Predicting participation in the population-based Swedish cardiopulmonary bio-image study (SCAPIS) using register data

  • Article/chapterEnglish2017

Publisher, publication year, extent ...

  • 2017-07-06
  • SAGE Publications,2017

Numbers

  • LIBRIS-ID:oai:gup.ub.gu.se/255750
  • https://gup.ub.gu.se/publication/255750URI
  • https://doi.org/10.1177/1403494817702326DOI
  • https://lup.lub.lu.se/record/1fa57cf5-df23-423c-9b4d-61cda882124bURI

Supplementary language notes

  • Language:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • Aims: To illustrate the importance of access to register data on determinants and predictors of study participation to assess validity of population-based studies. In the present investigation, we use data on sociodemographic conditions and disease history among individuals invited to the Swedish cardiopulmonary bio-image study (SCAPIS) in order to establish a model that predicts study participation. Methods: The pilot study of SCAPIS was conducted within the city of Gothenburg, Sweden, in 2012, with 2243 invited individuals (50% participation rate). An anonymous data set for the total target population (n = 24,502) was made available by register authorities (Statistics Sweden and the National Board of Health and Welfare) and included indicators of invitation to and participation in SCAPIS along with register data on residential area, sociodemographic variables, and disease history. Propensity scores for participation were estimated using logistic regression. Results: Residential area, country of birth, civil status, education, occupational status, and disposable income were all associated with participation in multivariable models. Adding data on disease history only increased overall classification ability marginally. The associations with disease history were diverse with some disease groups negatively associated with participation whereas some others tended to increase participation. Conclusions: The present investigation stresses the importance of a careful consideration of selection effects in population-based studies. Access to detailed register data also for non-participants can in the statistical analysis be used to control for selection bias and enhance generalizability, thereby making the results more relevant for policy decisions.

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  • Strömberg, Ulf,1964University of Gothenburg,Gothenburg University,Göteborgs universitet,Institutionen för medicin,Institutionen för medicin, avdelningen för samhällsmedicin och folkhälsa, enheten för hälsometri,Institute of Medicine,Institute of Medicine, Department of Public Health and Community Medicine, Health Metrics(Swepub:gu)xstrou (author)
  • Rosengren, Annika,1951University of Gothenburg,Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine,Sahlgrenska University Hospital(Swepub:gu)xrosan (author)
  • Toren, K.University of Gothenburg,Sahlgrenska University Hospital (author)
  • Fagerberg, Björn,1943University of Gothenburg,Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine,Sahlgrenska University Hospital(Swepub:gu)xfagbj (author)
  • Grimby-Ekman, Anna,1967University of Gothenburg,Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för samhällsmedicin och folkhälsa, enheten för hälsometri,Institute of Medicine, Department of Public Health and Community Medicine, Health Metrics(Swepub:gu)xekman (author)
  • Bergström, Göran,1964University of Gothenburg,Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine,Sahlgrenska University Hospital(Swepub:gu)xbgort (author)
  • Avdelningen för arbets- och miljömedicinInstitutionen för laboratoriemedicin (creator_code:org_t)

Related titles

  • In:Scandinavian Journal of Public Health: SAGE Publications45, s. 45-491403-49481651-1905

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