ArticleBMJ open2025
Prevalence of frailty and associated factors in Shanghai older community-dwelling adults: a cross-sectional study.
Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Comment on "Machine Learning Approaches to Identify Physical, Psychological, and Social Predictors of Worsening Frailty Transitions Among Community-Dwelling Older Adults: A Longitudinal Cohort Study".Geriatrics & gerontology international · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveFrailty is recognised as an emerging public health priority. However, there is still a lack of large-sample, well-designed clinical observational studies investigating frailty status among multidistrict community-dwelling older adults in Shanghai. Therefore, this study aims to establish a large-sample prospective cohort in Shanghai, investigate the frailty status of multidistrict community-dwelling older adults, analyse the characteristics of the frail population and explore potential risk factors for frailty in older adults.
designThe present study was a cross-sectional analysis embedded within an ongoing prospective population-based cohort study. SETTING AND
participantsA total of 2950 residents (≥65 years) from 9 subdistricts were recruited. MEASURES: We used a stratified cluster random sampling method to obtain a representative sample of older adults in Shanghai. All participants completed paper questionnaires during face-to-face interviews and underwent physical examinations conducted by the investigation team.
resultsOur results showed that the overall age-standardised prevalence of frailty was 9.91% (95% CI 9.50% to 10.31%). Prevalence was 8.30% (95% CI 6.84% to 9.76%) in men and 9.93% (95% CI 8.85% to 11.01%) in women. Advancing age, female sex, lower education level and comorbidities were significantly associated with frailty among community-dwelling older adults.
conclusionsClinical and public health efforts to reduce the burden of frailty in China should devote greater attention to older women, particularly those with multiple comorbidities, and prioritise community-based frailty screening and prevention initiatives. TRIAL REGISTRATION NUMBER: ChiCTR2000039491.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.