Evidence map›Paper›PMID 32164595›Full record

ArticleBMC geriatrics2020

Prevalence and associated factors for frailty among elder patients in China: a multicentre cross-sectional study.

Jing Jiao, Yu Wang, Chen Zhu, Fangfang Li, Minglei Zhu, Xianxiu Wen, Jingfen Jin, Hui Wang, Dongmei Lv, Shengxiu Zhao and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 2% of its field
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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.

  1. Pooled it
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  3. Factors associated with frailty and the effect of frailty on postoperative outcomes in older adults with hip fracture.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2025
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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

12 authors at 6 institutions in 1 country.

Jing JiaoDepartment of Nursing, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yu WangDepartment of Nursing, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Chen ZhuDepartment of Nursing, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Fangfang LiDepartment of Endocrinae. Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Minglei ZhuDepartment of Geriatrics, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xianxiu WenDepartment of Nursing, Sichuan Provincial People's Hospital, Chengdu, China.
Jingfen JinDepartment of Nursing, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China.
Hui WangDepartment of Nursing, Tongji Hospital, Tongji medical college, Huazhong University of Science and Technology, Wuhan, China.
Dongmei LvDepartment of Nursing, The Second Affiliated Hospital of Haerbin Medical University, Haerbin, China.
Shengxiu ZhaoDepartment of Nursing, Qinghai Provincial People's Hospital, Xining, China.
Xinjuan WuDepartment of Nursing, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. wuxinjuan@sina.com.
Tao XuDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China. xutaosd@126.com.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNPeking Union Medical College Hospital · CNHarbin Medical University · CNQinghai Provincial Peoples Hospital · CNSecond Affiliated Hospital of Zhejiang University · CNTongji Hospital · CN

Funding

the Special Research Fund for Central Universities, Peking Union Medical College 2018PT33001
6 · The paper itself

Abstract

backgroundTo date, most previous studies of frailty among hospitalized elderly Chinese patients have been conducted based on small samples, which cannot represent the elderly patient population. The aim of this study was to identify the prevalence of and risk factors for frailty among elderly patients in China. STUDY DESIGN AND

settingThis cross-sectional study surveyed 9996 elderly patients from 6 tertiary-level hospitals in China. The prevalence of frailty among patients from selected wards was surveyed by trained investigators. A mixed-effects Poisson regression model was used to analyse the factors associated with frailty among elderly patients.

resultsThe mean age of all subjects was 72.47 ± 5.77 years. The prevalence rate of frailty in this study was 18.02%. After adjustments were made for the confounding effect of the clustering of hospital wards, a mixed-effects Poisson regression model showed that the associated factors of frailty included the following: age (OR: 1.016, 95% CI: 1.012-1.020), BMI < 18.5 (OR: 1.248, 95% CI: 1.171-1.330), female gender (OR: 1.058, 95% CI: 1.004-1.115), ethnic minority (OR: 1.152, 95% CI: 1.073-1.236), admission to hospital by the emergency department (OR: 1.104, 95% CI: 1.030-1.184), transit from another hospital (OR: 1.159, 95% CI: 1.049-1.279), former alcohol use (OR: 1.094, 95% CI: 1.022-1.171), fall history in the past 12 months (OR: 1.257, 95% CI: 1.194-1.323), vision dysfunction (OR: 1.144, 95% CI: 1.080-1.211), cognition impairment (OR: 1.182, 95% CI: 1.130-1.237), sleeping dysfunction (OR: 1.215, 95% CI: 1.215-1.318), urinary dysfunction (OR: 1.175, 95% CI: 1.104-1.251), and defecation dysfunction (OR: 1.286, 95% CI: 1.217-1.358). The results also showed some of the following protective effects: BMI > 28 (OR: 0.897, 95% CI: 0.856-0.940); higher education level, including middle school (OR: 0.915, 95% CI: 0.857, 0.977) and diploma and above (OR: 0.891, 95% CI: 0.821, 0.966); and current alcohol use (OR: 0.869, 95% CI: 0.815, 0.927).

conclusionWe identified a relatively high prevalence of frailty among elderly patients, and there are several associated factors among the population derived from this investigation of a large-scale, multicentre, nationally representative Chinese elderly inpatient population.

trial registrationChinese Clinical Trial Registry, ChiCTR1800017682, registered 09 August 2018.

Indexed as

AgedAged, 80 and overChinaCross-Sectional StudiesEthnicityFemaleFrail ElderlyFrailtyGeriatric AssessmentHumansMaleMinority GroupsPrevalenceAssociate factorsElderly patientsFrailtyPrevalence

Identifiers

PMID32164595
PMCPMC7068995
OpenAlexW3011115813

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.