Evidence map›Paper›PMID 35914908›Full record

ArticleBMJ open2022

Prevalence and associated factors of frailty among community dwelling older adults in Northwest China: a cross-sectional study.

Xingfeng Yu, Zhengyan Shi, Dan Wang, Yaqi Niu, Cuixiang Xu, Yunmiao Ma, Hongmei Liu, Hua Guo, Minjie Li, Yulian Zhang

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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

10 authors.

Xingfeng Yu *The Nursing Department, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.ORCID 0000-0002-9353-7637
Zhengyan Shi *The Nursing Department, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
Dan WangThe Nursing Department, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
Yaqi NiuThe Nursing Department, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
Cuixiang XuShaanxi Provincial Key Laboratory of Infection and Immune Diseases, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
Yunmiao MaThe Nursing Department, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
Hongmei LiuThe Nursing Department, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
Hua GuoThe Nursing Department, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
Minjie LiThe Nursing Department, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.ORCID 0000-0002-0394-730X
Yulian ZhangThe Director's Office, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China zhangyulian0307@126.com.ORCID 0000-0001-6091-6035

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the prevalence of the comprehensive frailty and its associated factors among community dwelling older adults.

designA cross-sectional study.

settingSix community healthcare centres in Xi'an City, Northwest China.

participantsA total of 2647 community dwelling older adults completed the study between March and August 2021. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was the prevalence of frailty, measured with the Comprehensive Frailty Assessment Instrument. The secondary outcomes were potential factors associated with frailty, measured with a social-demographic and health-related information sheet, the Short-Form Mini-Nutritional Assessment and the Pittsburgh Sleep Quality Index.

resultsThe participants averaged 27.77±10.13 in the total score of the Comprehensive Frailty Assessment Instrument. According to the cut-off points defining the classification of frailty, the majority of the participants were with mild (n=1478, 55.8%) or high (n=390, 14.8%) frailty. Multivariate stepwise linear regression analysis demonstrated that older age, lower educational level, empty nesters, higher level of self-perceived medical burden, abnormal body weight, physical inactivity, medication taking, increased number of clinic visit, undernutrition and poor sleep quality are associated with higher total score in the Comprehensive Frailty Assessment Instrument, indicating higher level of frailty. Multivariate multinomial logistic regression analysis exhibited similar findings but further captured female gender as a risk factor for the presence of mild and high frailty compared with no-low frailty.

conclusionThe prevalence of the comprehensive frailty and frailty in the physiological, psychological, social and environmental domains is high. A variety of social-demographic, health-related and behavioural factors were associated with the comprehensive frailty. Further investigations on frailty prevalence and its associated factors based on comprehensive assessments are desirable.

Indexed as

FrailtyAgedChinaCross-Sectional StudiesFemaleFrail ElderlyGeriatric AssessmentHumansIndependent LivingPrevalenceepidemiologygeriatric medicineprimary care

Identifiers

PMID35914908
PMCPMC9345078

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.