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Sökning: id:"swepub:oai:gup.ub.gu.se/307566" > Reweighting a Swedi...

Reweighting a Swedish health questionnaire survey using extensive population register and self-reported data for assessing and improving the validity of longitudinal associations

Nilsson, Anton (författare)
Lund University,Lunds universitet,EPI@LUND,Forskargrupper vid Lunds universitet,Lund University Research Groups
Bonander, Carl (författare)
Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för samhällsmedicin och folkhälsa,Institute of Medicine, School of Public Health and Community Medicine,Sahlgrenska Academy
Strömberg, Ulf, 1964 (författare)
University of Gothenburg,Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för samhällsmedicin och folkhälsa,Institute of Medicine, School of Public Health and Community Medicine,Sahlgrenska Academy,Region Halland
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Canivet, Catarina (författare)
Lund University,Lunds universitet,Socialmedicin och global hälsa,Forskargrupper vid Lunds universitet,Social Medicine and Global Health,Lund University Research Groups
Östergren, Per Olof (författare)
Lund University,Lunds universitet,Socialmedicin och global hälsa,Forskargrupper vid Lunds universitet,Social Medicine and Global Health,Lund University Research Groups
Björk, Jonas (författare)
Lund University,Lunds universitet,EPI@LUND,Forskargrupper vid Lunds universitet,Lund University Research Groups,Skåne University Hospital
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 (creator_code:org_t)
2021-07-01
2021
Engelska.
Ingår i: PLoS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 16:7
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Background In cohorts with voluntary participation, participants may not be representative of the underlying population, leading to distorted estimates. If the relevant sources of selective participation are observed, it is however possible to restore the representativeness by reweighting the sample to resemble the target population. So far, few studies in epidemiology have applied reweighting based on extensive register data on socio-demographics and disease history, or with self-reported data on health and health-related behaviors. Methods We examined selective participation at baseline and the first two follow-ups of the Scania Public Health Cohort (SPHC), a survey conducted in Southern Sweden in 1999/2000 (baseline survey; n = 13,581 participants, 58% participation rate), 2005 (first follow-up, n = 10,471), and 2010 (second follow-up; n = 9,026). Survey participants were reweighted to resemble the underlying population with respect to a broad range of socio-demographic, disease, and health-related characteristics, and we assessed how selective participation impacted the validity of associations between self-reported overall health and dimensions of socio-demographics and health. Results Participants in the baseline and follow-up surveys were healthier and more likely to be female, born in Sweden, middle-aged, and have higher socioeconomic status. However, the differences were not very large. In turn, reweighting the samples to match the target population had generally small or moderate impacts on associations. Most examined regression coefficients changed by less than 20%, with virtually no changes in the directions of the effects. Conclusion Overall, selective participation with respect to the observed factors was not strong enough to substantially alter the associations with self-assessed health. These results are consistent with an interpretation that SPHC has high validity, perhaps reflective of a relatively high participation rate. Since validity must be determined on a case-by-case basis, however, researchers should apply the same method to other health cohorts to assess and potentially improve the validity.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)

Nyckelord

generalizing evidence
selection bias
trials
cohort
Science & Technology - Other Topics

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