Reweighting a Swedish health questionnaire survey using extensive population register and self-reported data for assessing and improving the validity of longitudinal associations
Open Access
- 1 July 2021
- journal article
- research article
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 16 (7) , e0253969
Abstract
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.Keywords
Funding Information
- Forskningsrådet för Arbetsliv och Socialvetenskap (2017-00414)
This publication has 22 references indexed in Scilit:
- How to investigate and adjust for selection bias in cohort studiesActa Obstetricia et Gynecologica Scandinavica, 2018
- Generalizing Study ResultsEpidemiology, 2017
- Invited Commentary: Selection Bias Without CollidersAmerican Journal of Epidemiology, 2017
- Who wants a free brain scan? Assessing and correcting for recruitment biases in a population-based sMRI pilot studyBrain Imaging and Behavior, 2014
- Generalizing Evidence From Randomized Clinical Trials to Target Populations: The ACTG 320 TrialAmerican Journal of Epidemiology, 2010
- Illustrating bias due to conditioning on a colliderInternational Journal of Epidemiology, 2009
- Self‐selection and bias in a large prospective pregnancy cohort in NorwayPaediatric and Perinatal Epidemiology, 2009
- Representativity of a postal public health questionnaire survey in Sweden, with special reference to ethnic differences in participationScandinavian Journal of Public Health, 2006
- A Structural Approach to Selection BiasEpidemiology, 2004
- Causal Diagrams for Epidemiologic ResearchEpidemiology, 1999