Evidence map›Paper›PMID 31951595›Full record

ArticleAging2020

Development of frailty subtypes and their associated risk factors among the community-dwelling elderly population.

Yan Zhang, Xiu-Juan Xu, Ting-Yu Lian, Ling-Feng Huang, Jin-Mei Zeng, Dong-Mei Liang, Ming-Juan Yin, Jing-Xiao Huang, Liang-Chang Xiu, Zu-Wei Yu and 3 more

Abstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

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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

13 authors.

Yan ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Guangdong Medical University, Dongguan 523808, China.
Xiu-Juan XuDepartment of Epidemiology and Biostatistics, School of Public Health, Guangdong Medical University, Dongguan 523808, China.
Ting-Yu LianDepartment of Epidemiology and Biostatistics, School of Public Health, Guangdong Medical University, Dongguan 523808, China.
Ling-Feng HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Guangdong Medical University, Dongguan 523808, China.
Jin-Mei ZengDepartment of Epidemiology and Biostatistics, School of Public Health, Guangdong Medical University, Dongguan 523808, China.
Dong-Mei LiangDepartment of Epidemiology and Biostatistics, School of Public Health, Guangdong Medical University, Dongguan 523808, China.
Ming-Juan YinDepartment of Epidemiology and Biostatistics, School of Public Health, Guangdong Medical University, Dongguan 523808, China.
Jing-Xiao HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Guangdong Medical University, Dongguan 523808, China.
Liang-Chang XiuDepartment of Epidemiology and Biostatistics, School of Public Health, Guangdong Medical University, Dongguan 523808, China.
Zu-Wei YuPublic Health Office, Dalang Town Community Health Service Center, Dongguan 523808, China.
Yu-Lian LiDepartment of Nursing, Dalang Town Community Health Service Center, Dongguan 523808, China.
Chen MaoDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Jin-Dong NiDepartment of Epidemiology and Biostatistics, School of Public Health, Guangdong Medical University, Dongguan 523808, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to explore frailty subtypes and find their associated risk factors, we conducted cross-sectional surveys of 5,341 seniors aged 60 and over in China using the Frailty Index (FI) scale. We identified four frailty subtypes, namely multi-frail, cognitive and functionally frail, psychologically frail and physiologically frail. Old age and low education level were the common risk factors among the four subtypes. Being widowed, divorced or unmarried was a risk factor for multi-frail, cognitive and functionally frail and psychologically frail, and male sex was a protective factor against cognitive and functionally frail and psychologically frail subtypes. Having a harmonious relationship with family was a protective factor against multi-frail, and fewer visits to the elderly by their children was a risk factor for psychologically frail. Dissatisfaction with their housing was a risk factor for cognitive and functionally frail, psychologically frail and physiologically frail, and a pension being the main source of income was a risk factor for cognitive and functionally frail and psychologically frail. Exercising every day was a protective factor against multi-frail and cognitive and functionally frail, and a lower level of physical activity was a risk factor for all four frailty subtypes. Our findings confirm the heterogeneity of frailty and suggest that different frail elderly individuals need more targeted care interventions.

Indexed as

Frail ElderlyFrailtyGeriatric AssessmentAgedAged, 80 and overCross-Sectional StudiesFemaleHealth StatusHumansIndependent LivingMaleMiddle AgedOdds RatioPopulation SurveillanceRisk Factorsfrailtyolder peopleprofilesrisk factorssubtypes

Identifiers

PMID31951595
PMCPMC7053645

What OpenQuestion holds

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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.