Abstract
Commentary: Factors associated with non-participation in cohort studies emphasize the need to generalize the results with care.
Highlights
Hara and colleagues investigated factors associated with non-participation in a face-to-face second survey conducted 5 years after the baseline survey in one study area of the Japan Multi-Institutional Collaborative Cohort Study (J-MICC).[1]
The study was comprehensive and well organized: information from the baseline questionnaire was compared between participants and non-participants in the face-to-face second survey, and the self-reported incidence of disease during the 5-year follow-up was compared between participants and non-participants by a mail and telephone health survey of the non-participants
Iwasaki and colleagues demonstrated a practical example of the degree of generalizability of relative risk (RR) estimates using data from a large population-based prospective cohort study, the Japan Public Health Center-based Prospective (JPHC) Study.[3]
Summary
Hara and colleagues investigated factors associated with non-participation in a face-to-face second survey conducted 5 years after the baseline survey in one study area of the Japan Multi-Institutional Collaborative Cohort Study (J-MICC).[1]. Hara and colleagues investigated factors associated with non-participation in a face-to-face second survey conducted 5 years after the baseline survey in one study area of the Japan Multi-Institutional Collaborative Cohort Study (J-MICC).[1] The study was comprehensive and well organized: information from the baseline questionnaire was compared between participants and non-participants in the face-to-face second survey, and the self-reported incidence of disease during the 5-year follow-up was compared between participants and non-participants by a mail and telephone health survey of the non-participants.
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