ArticleBMC geriatrics2025
Chronic diseases and frailty transitions in community-dwelling older adults: evidence from a national longitudinal cohort study.
Article in BMC geriatrics, 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.
- Trajectory of frailty among the older people in a community setting: A cohort study from the Shizuoka Kokuho Database.Aging clinical and experimental research · 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
7 authors.
Funding
Abstract
backgroundAs global populations age, the prevalence of chronic diseases among older adults continues to rise. Although previous research has explored the relationship between chronic diseases and frailty, most studies used cross-sectional designs, limiting their ability to capture dynamic changes in frailty over time.
objectivesThis study investigated the association between chronic diseases and frailty transitions among older adults while identifying factors influencing frailty worsening and improvement over time.
methodsData were drawn from the Taiwan Longitudinal Study on Aging, a nationally representative survey. Frailty status was assessed based on the criteria of the Fried frailty phenotype. Multinomial logistic regression analysis was performed to examine the association between chronic diseases and frailty transitions, using data from 2007 To 2011. Community-dwelling older adults ( > = 65 years) with cognitive intact (SPMSQ > = 8) were recruited.
resultsAmong the 1,283 participants, the prevalence of frailty was 8.7% in 2007. Among participants who were non-frail in 2007, by 2011, 10.2% had shown improvement, 41.2% remained stable, and 35.0% experienced worsening frailty. Results of multivariate nominal logistic regression indicated that individuals aged ≥ 75 years (RRR = 1.689, 95% CI:1.297-2.200, p < .001), females (RRR = 1.464, 95% CI:1.112-1.928, p = .007), and those with heart disease (RRR = 1.557, 1.137-2.134, p = .006) had a significantly higher risk of frailty worsening. Heart disease was also significantly associated with frailty improvement (RRR = 2.173, 1.439-3.283, p < .001). Gender-stratified analysis revealed that individuals aged ≥ 75 years had a higher risk of frailty worsening in both genders, while heart disease was associated with both frailty improvement (RRR = 2.136, 95% CI:1.229-3.711, p = .007) and worsening (RRR = 1.534, 95% CI:1.003-2.344, p = .048) in non-frail males, and heart disease (RRR = 2.101, 95% CI:1.136-3.885, p = .018) and musculoskeletal diseases (RRR = 2.095, 95% CI:1.151-3.812, p = .015) were significantly associated with frailty improvement in non-frail females.
conclusionsOlder age, gender, and chronic diseases play pivotal roles in frailty transitions, with heart disease identified as an important factor for frailty improvement in both genders. Early frailty screening and sex-sensitive approaches may help mitigate frailty progression among community-dwelling older adults.
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.