Evidence map›Paper›PMID 38238657›Full record

ArticleBMC geriatrics2024

The relationship between social frailty and loneliness in community-dwelling older adults: a cross-sectional study.

Zhixiao Li, Jinjin Gu, Peiling Li, Jiaqi Hu, Shanshan Wang, Panpan Wang, Lin Zhou, Yi Yun, Yan Shi, Peng Wang

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
10.0field-weighted citation impact, top 1% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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  14. Factors Affecting Medication Adherence in Middle-Aged and Elderly Patients in China: A Cross-Sectional Study.Medical science monitor : international medical journal of experimental and clinical research · 2025
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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

10 authors at 3 institutions in 2 countries.

Zhixiao Li *School of Nursing and Health, Zhengzhou University, Zhengzhou, China.
Jinjin Gu *School of Nursing and Health, Zhengzhou University, Zhengzhou, China.
Peiling Li *Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
Jiaqi HuCollege of Public Health, Zhengzhou University, Zhengzhou, China.
Shanshan WangSchool of Nursing, the Hong Kong Polytechnic University, HongKong, China.
Panpan WangSchool of Nursing and Health, Zhengzhou University, Zhengzhou, China.
Lin ZhouHenan Electric Power Hospital, Zhengzhou, China.
Yi YunHenan Electric Power Hospital, Zhengzhou, China.
Yan ShiSchool of Nursing and Health, Zhengzhou University, Zhengzhou, China. shiyan@zzu.edu.cn.
Peng WangSchool of Nursing and Health, Zhengzhou University, Zhengzhou, China. upliz@zzu.edu.cn.
Zhengzhou University · CNHong Kong Polytechnic University · HKHuazhong University of Science and Technology · CN

Funding

Henan Electric Power Hospital SGGK0000KXJS2200449Henan Province Social Science Association SKL-2023-389National Natural Science Foundation of China 72274180Philosophy and social science planning project of Henan 2021BSH017Science and Technology Department of Henan Province 232102311231the Science and Technology Department of Henan Province 232400410353Zhengzhou University JSZLQY2022028
6 · The paper itself

Abstract

backgroundSocial frailty (SF) is associated with multiple adverse health outcomes, yet there has been an inadequate focus on social frailty. The convoy model portrays the social networks through the perspective of the life course, thus providing a framework to explain the occurrence of social frailty. This study aimd to figure out the prevalence of social frailty and loneliness among community-dwelling older adults and to explore their correlations based on convoy model.

methodsThis was a cross-sectional study, and 295 older adults from 10 communities of Zhengzhou in Henan Province participated in the study. Social frailty and loneliness were assessed separately with the Social Frailty Scale and University of California at Los Angeles-Loneliness Scale. The scores of social frailty of the older adults in different characteristic communities were compared by independent sample t-test and single factor analysis of variance. The influencing factors of social frailty were analysed by multiple stepwise linear regression and the structural equation model. The correlation between social frailty and loneliness was analysed by Pearson correlation analysis.

resultsThe total scores of social frailty and loneliness of the older adults in the community were (2.09 ± 1.53) and (43.19 ± 8.91), respectively. There was a moderate positive correlation between social frailty and loneliness (r = 0.621, P < 0.01). The results of multiple stepwise linear regression analysis showed that age, living styles, balance of payments, and loneliness were the main influencing factors of the social frailty of older adults in the community (F = 27.180, P < 0.001). The structural equation model of social frailty fitted well (χ

conclusionsThe convoy model had certain applicability in explanation of the relationship between loneliness and social frailty among older adults in community. The incidence of social frailty among the older adults in the community was high, and loneliness was at a medium level. It is necessary to strengthen the intervention of social frailty and loneliness of the older adults in the community, improve the quality of life of the older adults, and promote the development of healthy aging.

Indexed as

FrailtyLonelinessAgedCross-Sectional StudiesHumansIndependent LivingQuality of LifeCommunity-dwelling older adultsConvoy modelCorrelation studiesInfluencing factorsLonelinessSocial frailty

Identifiers

PMID38238657
PMCPMC10797967
OpenAlexW4390986460

What OpenQuestion holds

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LicenceCC BY
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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.