ArticleAging2025
Examining frailty phenotypes of community-dwelling older adults in Taiwan using the falls risk for older people in the community - Taiwan version (Tw-FROP-Com).
Article in Aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Cognitive Frailty and Its Risk Factors Among Patients With Chronic Kidney Disease Receiving Hemodialysis: A Cross-Sectional Study.Nursing & health sciences · 2025Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFalls are the second leading cause of accidental injury-related deaths among Taiwanese adults aged 65 and older. This study examined the association between Fried frailty phenotypes and fall risk in this population. MATERIALS AND
methodsA cross-sectional study was conducted in Keelung City with 375 participants from an Elderly Fall Prevention Program. Frailty was assessed using the modified Fried criteria: weakness, slowness, exhaustion, low physical activity, and unintentional weight loss. Participants with 0-2 criteria were classified as non-frail, and those with 3 or more as frail. Fall risk was evaluated using the Taiwan version of the Falls Risk for Older People in the Community (Tw-FROP-Com), a 28-item tool scoring 0-60 across 13 risk factors.
resultsParticipants had a mean age of 75.4 ± 6.8 years; 76.0% were female, 18.7% were frail, and 32.7% had fallen in the past year. Those with a fall history had higher rates of weakness (56.7%), slowness (49.6%), and frailty (26.1%). Regression analysis showed that weakness (β = 0.64), slowness (β = 0.21), exhaustion (β = 1.28), unintentional weight loss (β = 3.99), and low physical activity (β = 0.88) were significantly associated with increased fall risk. Frailty explained over 50% of fall risk variance, with unintentional weight loss as the strongest predictor.
conclusionUnintentional weight loss is the most significant predictor of fall risk among frailty traits. Individual frailty components better predict fall risk than composite frailty measures.
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