Evidence map›Paper›PMID 32346692›Full record

ArticleThe journal of nutrition, health & aging2020

Prevalence and Its Associated Factors of Physical Frailty and Cognitive Impairment: Findings from the West China Health and Aging Trend Study (WCHAT).

M Ge, Y Zhang, W Zhao, J Yue, L Hou, X Xia, Y Zhao, X Liu, B Dong, N Ge

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The journal of nutrition, health & aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
2.5field-weighted citation impact, top 11% 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

20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
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  6. Review
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  14. Article
  15. Health Care Utilization and Out-of-Pocket Payments among Elderly with Cognitive Frailty in Malaysia.International journal of environmental research and public health · 2022
    Article
  16. Sarcopenia and the Brain.Arquivos de neuro-psiquiatria · 2021
    Article
  17. Article
  18. Frailty in China: From Research to Practice.The journal of nutrition, health & aging · 2021
    Review
  19. Review
  20. Editorial: Physical Frailty: A Biological Marker of Aging?The journal of nutrition, health & aging · 2020
    Article
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 at 1 institution in 1 country.

M GeBirong Dong, PhD, The Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, GuoXueXiang 37, Chengdu, Sichuan, China, 610041; Ning Ge, PhD, The Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, GuoXueXiang 37, Chengdu, Sichuan, China, 610041. E-mail address: Birongdong123@outlook.com (B. Dong), grace7733@163.com (Ning Ge), Fax: +86-028-85421550, Tel: +86-028-85421550.
Y Zhang
W Zhao
J Yue
L Hou
X Xia
Y Zhao
X Liu
B Dong
N Ge
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPrevious literature has reported that physical frailty (PF) closely associated with cognitive impairment (CI). In this study, we aim to describe and evaluate the prevalence and associated factors with different patterns of PF and cognitive impairment.

designA cross-sectional study. SETTING AND

participantsCommunity-dwelling older adults aged ≥60 from the West China Health and Aging Trend (WCHAT) study were included in this study. MEASUREMENTS: Participants were assessed the PF and cognitive impairment. PF was assessed using the physical phenotype as defined by Fried's criteria. Cognitive impairment was identified using the Short Portable Mental Status Questionnaire (SPMSQ). According different patterns of PF and cognitive impairment, participants were divided into 4 groups: not-PF and cognitive intact ( "neither" group), not-PF and cognitive impairment ("CI only" group), PF and cognitive intact ("PF only" group), and PF and cognitive impairment ("both" group). Multinomial logistic regression was used to explore the association between medical conditions and different patterns of PF and cognitive impairment after adjusting the demographic characteristics.

resultsAmong 4,103 participants (age 67.8 + 5.9 years, female 58.3%), 78.8%, 3.9%, 14.5% and 2.9% were "neither", "PF only", "CI only", and "both", respectively. The prevalence of "PF only", "CI only" and "both" were associated with age, lower education level and single status. In addition, there was substantial ethnicity heterogeneity in the prevalence of different patterns of PF and cognitive impairment. Comparing with "neither", PF and/or cognitive impairment had higher association with depression, ADLs impairment, and malnutrition. Of note, obesity was only significantly associated with "PF only", but not associated with "CI only" or "both".

conclusionsWe found the substantial demographic and medical conditions disparities in different patterns of PF and cognitive impairment. Further research should focus on the efficient and practical screen to predict the risk of "PF only", "CI only" and "both".

Indexed as

AgedAged, 80 and overAgingChinaCognitive DysfunctionCross-Sectional StudiesFemaleFrailtyGeriatric AssessmentHealthy AgingHumansMaleMiddle AgedPrevalenceChinacognitive impairment (CI)older adultsPhysical frailty (PF)

Identifiers

PMID32346692
PMCPMC12876349
OpenAlexW3016439767

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.