Literature DB >> 14695076

Participation bias in longitudinal studies: experience from the Population Study of Women in Gothenburg, Sweden.

Lauren Lissner1, Ingmar Skoog, Kate Andersson, Nils Beckman, Valter Sundh, Magda Waern, Dimitri Edin Zylberstein, Calle Bengtsson, Cecilia Björkelund.   

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.

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Year:  2003        PMID: 14695076     DOI: 10.1080/02813430310003309-1693

Source DB:  PubMed          Journal:  Scand J Prim Health Care        ISSN: 0281-3432            Impact factor:   2.581


  22 in total

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