Participation bias in longitudinal studies: experience from the population study of women in Gothenburg, Sweden
Open Access
- 1 December 2003
- journal article
- research article
- Published by Taylor & Francis in Scandinavian Journal of Primary Health Care
- Vol. 21 (4) , 242-247
- https://doi.org/10.1080/02813430310003309-1693
Abstract
Objective – To describe a cohort study of women receiving a series of comprehensive health examinations over 32 years. Design – Longitudinal population study based on a randomised sample of the female population from defined age cohorts. Setting – City of Göteborg, Sweden. Subjects – Subjects were 38, 46, 50, 54 or 60 years old at the start of the study in 1968. Re-examinations were performed in 1974, 1982 and 1992. Non-participants in the most recent examination, initiated in 2000, were offered home visits. Main outcome measures – Participation, anthropometric and blood pressure changes. Results – At the end of the 32-year follow-up, 64% of the original participants were alive, and low participation among survivors was a problem. An acceptable participation rate (71% of those alive) was obtained after home visits were offered. Surviving non-participants already had elevated cardiovascular risk factors at onset of the study in 1968, along with lower educational level and lower socioeconomic status. Home visited subjects were similar to non-participants with regard to anthropometry and blood pressure, but did not differ from participants with regard to social indicators. Thirty-two-year longitudinal data demonstrate clear ageing effects for several important variables, which should, however, be considered in the context of documented differences with non-participants at the baseline examination. Conclusions – Longitudinal studies in elderly populations provide important data on changes during the ageing process. However, participation rates decline for a number of reasons and generalisations should be made with care. Moreover, including home visits in the protocol can both increase participation and reduce participation bias in elderly cohorts.Keywords
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