Evidence map›Paper›PMID 39334453›Full record

ArticleBMC psychology2024

Independent and combined associations of depression and cognitive impairment with frailty in oldest-old adults.

Xiaoguang Zhao, Xiaosha Duan, Shaoshuai Shen, Jin Wang

Abstract read
In one paragraph

Article in BMC psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 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

4 authors.

Xiaoguang ZhaoResearch Academy of Grand Health, Ningbo University, Ningbo, 315211, Zhejiang, China.
Xiaosha DuanFaculty of Sports Science, Ningbo University, No. 818 Fenghua Road, Jiangbei District, Ningbo, 315211, Zhejiang, China.
Shaoshuai ShenSchool of Education and Welfare, Aichi Prefectural University, Nagakute, 480-1198, Aichi, Japan.
Jin WangFaculty of Sports Science, Ningbo University, No. 818 Fenghua Road, Jiangbei District, Ningbo, 315211, Zhejiang, China. jinwangnbu@yahoo.com.

Funding

Ningbo Public Welfare Science and Technology Project 2022S070Zhejiang Provincial Philosophy and Social Science Planning Project 24NDJC070YB
6 · The paper itself

Abstract

backgroundFrailty is one of the most significant issues related to human aging. Although studies have confirmed the association of mental and cognitive disorders with frailty, the association might be influenced by age, since oldest-old adults are more likely to have adverse health outcomes. Thus, this study aimed to examine independent and combined associations of mental health and cognitive function with frailty in oldest-old adults using data from the Chinese Longitudinal Healthy Longevity Survey in 2018.

methodsA sum of 6,891 and 3,171 older adults aged 80 and older were included in this study when analyzing the association of depression and cognitive impairment with frailty, respectively. Frailty was measured by the Study of Osteoporotic Fractures frailty index, depression was assessed by the Center for Epidemiologic Studies Depression Scale, and cognitive impairment was evaluated by the Chinese version of modified Mini-Mental State Examination. Independent sample t-test, Chi-square tests, and logistic regression analyses were used to examine the associations of depression and cognitive impairment with frailty.

resultsOlder persons with depression or cognitive impairment had a higher chance of frailty. The adjusted odds ratio (OR) of frailty was 1.27 (95% CI: 1.01, 1.59, p = 0.044) in those with depression, and 1.85 (95% CI: 1.14, 3.01, p = 0.013) in those with cognitive impairment. Compared to adults who had neither depression nor cognitive impairment, those with either depression or cognitive impairment, and those with both depression and cognitive impairment had a significantly higher likelihood of frailty (adjusted OR: 1.61, 95% CI: 1.07, 2.41; and adjusted OR: 4.03, 95% CI: 2.05, 7.94).

conclusionsThe findings suggest that depression and cognitive impairment are associated with frailty. The concurrence of depression and cognitive impairment has an additive effect on frailty in oldest-old population.

Indexed as

Cognitive DysfunctionDepressionFrail ElderlyFrailtyAged, 80 and overAgingChinaFemaleHumansLongitudinal StudiesMaleAgingCognitive dysfunctionDepressionFrailtyOldest-old adults

Identifiers

PMID39334453
PMCPMC11437978

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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.