Evidence map›Paper›PMID 37658332›Full record

ArticleBMC geriatrics2023

Prevalence of social frailty and its associated factors in the older Chinese population: a national cross-sectional study.

Xin Qi, Yingying Li, Jiabin Hu, Lingbing Meng, Ping Zeng, Jing Shi, Na Jia, Xuezhai Zeng, Hui Li, Qiuxia Zhang and 2 more

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 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

12 authors.

Xin Qi *Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric medicine, Chinese Academy of Medical Sciences, No. 1 Dongdan Dahua Road, Dongcheng District, Beijing, 100730, China.
Yingying Li *Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric medicine, Chinese Academy of Medical Sciences, No. 1 Dongdan Dahua Road, Dongcheng District, Beijing, 100730, China.
Jiabin HuHealth Service Department of the Guard Bureau of the Joint Staff Department, Beijing, China.
Lingbing MengDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric medicine, Chinese Academy of Medical Sciences, No. 1 Dongdan Dahua Road, Dongcheng District, Beijing, 100730, China.
Ping ZengThe MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Jing ShiDepartment of Geriatrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Na JiaDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric medicine, Chinese Academy of Medical Sciences, No. 1 Dongdan Dahua Road, Dongcheng District, Beijing, 100730, China.
Xuezhai ZengDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric medicine, Chinese Academy of Medical Sciences, No. 1 Dongdan Dahua Road, Dongcheng District, Beijing, 100730, China.
Hui LiDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric medicine, Chinese Academy of Medical Sciences, No. 1 Dongdan Dahua Road, Dongcheng District, Beijing, 100730, China.
Qiuxia ZhangChina Research Center on Ageing, Beijing, China.
Juan LiInstitute of Psychology, Chinese Academy of Sciences, Beijing, China.
Deping LiuDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric medicine, Chinese Academy of Medical Sciences, No. 1 Dongdan Dahua Road, Dongcheng District, Beijing, 100730, China. lliudeping@263.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial frailty has not been comprehensively studied in China. Our objective is to investigate the prevalence of social frailty among the older population in China, as well as identify relevant factors and urban-rural differences.

methodsWe obtained data from the Fourth Sample Survey of the Aged Population in Urban and Rural China (SSAPUR) database. The study employed a multistage, stratified, cluster-sampling method, recruiting a total of 224,142 adults aged 60 years or older. Participants were interviewed to gather demographic data and information on family, health and medical conditions, health care service status, living environment conditions, social participation, protected rights status, spiritual and cultural life, and health. Social frailty was assessed using the HALFE Social Frailty Index. A score of three or above indicated social frailty.

resultsWe analyzed a total of 222,179 cases, and the overall prevalence of social frailty was found to be 15.2%. The highest prevalence was observed among participants aged 75-79 years (18.0%). The prevalence of social frailty was higher in rural older populations compared to urban older populations (19.9% in rural vs. 10.9% in urban, P < 0.0001). In urban areas, women had a higher prevalence than men (11.7% in women vs. 9.9% in men, P < 0.0001), while in rural areas, men had a higher prevalence than women (20.6% in men vs. 19.2% in women, P < 0.0001). Multivariate regression analysis revealed that living in a rural/urban environment (OR 1.789, 95% CI 1.742-1.837), absence of a spouse/spousal presence (OR 4.874, 95% CI 4.743-5.009), self-assessed unhealthy/health status (OR 1.696, 95% CI 1.633-1.761), and housing dissatisfaction/satisfaction (OR 2.303, 95% CI 2.233-2.376) were all significantly associated with social frailty.

conclusionsUsing the HALFE social frailty index, we found a prevalence of 15.2% among older people in China, with the highest prevalence observed in the 75-79 age group. Social frailty was more prevalent in rural areas than in urban areas. Various factors, including spousal presence, housing satisfaction, health status, and urban-rural residential differences, were significantly associated with social frailty. These findings highlight the modifiable and non-modifiable factors that contribute to social frailty among older individuals in China.

Indexed as

East Asian PeopleFrailtyPsychosocial FunctioningSocial BehaviorAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceRural PopulationUrban PopulationChineseHealthy agingOlder adultsSocial determinantsSocial frailty

Identifiers

PMID37658332
PMCPMC10474699

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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.