Evidence map›Paper›PMID 40087569›Full record

ArticleBMC geriatrics2025

Associated factors of frailty among community-dwelling older adults with multimorbidity from a health ecological perspective: a cross-sectional study.

Yunqiu Che, Hanjia Xin, Yingying Gu, Xiuxiu Ma, Ziying Xiang, Chaozhu He

Abstract read
In one paragraph

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yunqiu Che *School of Nursing, Jiangxi Medical College, Nanchang University, 461 Bayi Street, Nanchang, 330000, China.ORCID http://orcid.org/0009-0005-8009-635X
Hanjia Xin *School of Nursing, Jiangxi Medical College, Nanchang University, 461 Bayi Street, Nanchang, 330000, China.
Yingying GuSchool of Nursing, Jiangxi Medical College, Nanchang University, 461 Bayi Street, Nanchang, 330000, China.
Xiuxiu MaSchool of Nursing, Jiangxi Medical College, Nanchang University, 461 Bayi Street, Nanchang, 330000, China.
Ziying XiangSchool of Nursing, Jiangxi Medical College, Nanchang University, 461 Bayi Street, Nanchang, 330000, China.
Chaozhu HeSchool of Nursing, Jiangxi Medical College, Nanchang University, 461 Bayi Street, Nanchang, 330000, China. 1250896898@qq.com.ORCID http://orcid.org/0009-0009-5911-2326

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs the global aging process accelerates, the older population is increasing annually, with the majority suffering from one or more chronic diseases. Due to the influence of chronic disease comorbidity, frailty among the older is widespread. Therefore, early identification of frailty in older adults with comorbidities from a comprehensive perspective, along with proactive measures for prevention and timely intervention, becomes an inevitable requirement for healthy aging. This study aimed to identify the entry point of frailty management in the older with multimorbidity in the community and clarify the focus of frailty management.

methodsA national cross-sectional survey of 1056 older adults with comorbidities in 148 cities across China was conducted. Frailty was assessed using the Fatigue, Resistance, Ambulation, Illnesses, and Loss of weight (FRAIL) scale. Based on the health ecological model, the factors which may influence frailty were collected from five levels. Univariate and multivariate analysis were utilized to determine the factors influencing frailty. The STROBE checklist was used preparing the manuscript.

resultsA total of 417 patients (39.5%) reported having frailty, while 613 patients (58.0%) were in the pre-frail state. Multivariate logistic regression analysis indicate that compared with robust patients, number of comorbidities, self-efficacy, sleep quality and perceived social support are associated with frailty in older patients with comorbidities (P < 0.05). Compared to pre-frail group, factors such as number of comorbidities, gender (female), cognitive status of diseases, anxiety, having four or more comorbidities, smoking, eating habits, taking three or more different types of medication and perceived social support are associated with frailty (P < 0.05).

conclusionsThe prevalence of frailty among older adults with comorbidities is exceptionally high, influenced by various dimensions from health ecology perspective. Psychological care and daily behavior management should be strengthened for the frail older with multimorbidity. Precise and individualized care interventions need to be developed to help promote healthy aging.

Indexed as

Frail ElderlyFrailtyIndependent LivingMultimorbidityAgedAged, 80 and overChinaCross-Sectional StudiesFemaleGeriatric AssessmentHumansMaleFrailtyHealth ecological modelMultimorbidityOlder adultsRisk factors

Identifiers

PMID40087569
PMCPMC11907925

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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.