ArticleBMJ open2023
Exploring participant attrition in a longitudinal follow-up of older adults: the Global Longitudinal Study of Osteoporosis in Women (GLOW) Hamilton cohort.
Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- The Role of Wisdom and Sense of Coherence in Predicting Quality of Life Among Hospitalized Elderly: A Cross-Sectional Study From Eastern Guilan, Northern Iran.Health science reports · 2026Article
- A longitudinal study on multiple frailty and its associations with depression and social participation in older adults.Scientific reports · 2026Article
- Internet use and COVID-19 vaccination attitudes among older adults in Switzerland during the pandemic.European journal of ageing · 2026Article
- Attrition and representativeness in development and validation of online symptom checkers-a case study on theFrontiers in artificial intelligence · 2026Article
- Real-world patterns in remote longitudinal study participation: A study of the Swiss Multiple Sclerosis Registry.PLOS digital health · 2024Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveWe explored the magnitude of attrition, its pattern and risk factors for different forms of attrition in the cohort from the Global Longitudinal Study of Osteoporosis in Women.
designProspective cohort study.
settingParticipants were recruited from physician practices in Hamilton, Ontario.
participantsPostmenopausal women aged ≥55 years who had consulted their primary care physician within the last 2 years. OUTCOME MEASURES: Time to all-cause, non-death, death, preventable and non-preventable attrition.
resultsAll 3985 women enrolled in the study were included in the analyses. The mean age of the cohort was 69.4 (SD: 8.9) years. At the end of the follow-up, 30.2% (1206/3985) of the study participants had either died or were lost to follow-up. The pattern of attrition was monotone with most participants failing to return after a missed survey. The different types of attrition examined shared common risk factors including age, smoking and being frail but differed on factors such as educational level, race, hospitalisation, quality of life and being prefrail.
conclusionAttrition in this ageing cohort was selective to some participant characteristics. Minimising potential bias associated with such non-random attrition would require targeted measures to achieve maximum possible follow-rates among the high-risk groups identified and dealing with specific reasons for attrition in the study design and analysis.
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