Evidence map›Paper›PMID 41219705›Full record

ArticleBMC geriatrics2025

Association between internet use and social isolation among nursing home residents: a chain mediation model.

Qiyuan Huang, Huangqin Liu, Wan Cheng, Sheng Wu, Song Ge, Yuanfeng Lu, Jinyi Wu, Bingqian Ou, Huimin Xiao

Abstract read
In one paragraph

Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Qiyuan Huang *School of Nursing, Fujian Medical University, No. 1 Xuefu North Road, University Town, Fuzhou, Fujian, China.
Huangqin Liu *School of Nursing, Fujian Medical University, No. 1 Xuefu North Road, University Town, Fuzhou, Fujian, China.
Wan Cheng *School of Nursing, Fujian Medical University, No. 1 Xuefu North Road, University Town, Fuzhou, Fujian, China.
Sheng WuSchool of Informatics, Xiamen University, Xiamen, China.
Song GeDepartment of Natural Sciences/Nursing, University of Houston-Downtown, Houston, Texas, USA.
Yuanfeng LuSchool of Nursing, Fujian Medical University, No. 1 Xuefu North Road, University Town, Fuzhou, Fujian, China.
Jinyi WuSchool of Nursing, Fujian Medical University, No. 1 Xuefu North Road, University Town, Fuzhou, Fujian, China.
Bingqian OuSchool of Nursing, Fujian Medical University, No. 1 Xuefu North Road, University Town, Fuzhou, Fujian, China.
Huimin XiaoSchool of Nursing, Fujian Medical University, No. 1 Xuefu North Road, University Town, Fuzhou, Fujian, China. huimin_xiao@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial isolation poses a significant threat to the health of older adults. However, there has been a lack of attention to the relationship between Internet use and social isolation. This study aimed to clarify the specific impact paths among Internet use, social network, social support, social well-being, and social isolation in nursing home residents.

methodsThis was a cross-sectional study. A total of 441 nursing home residents in Fujian and Shandong Provinces, China were surveyed between February 2023 and January 2024 using convenience sampling. Guided by the convoy model, a hypothetical theoretical model was developed and tested in this sample. Structured questionnaires were used to collect data on demographics characteristics, Internet use, social isolation, social network, social support, and social well-being. Multiple stepwise linear regression was employed to identify factors influencing social isolation. Additionally, path analysis was conducted to examine the chain mediating effects of social networks, social support, and social well-being on the relationship between Internet use and social isolation.

resultsThe total score of social isolation of the participants was 13.47 ± 3.58. Internet use, social isolation, social network, social support, and social well-being were all positively correlated. The results of multiple stepwise linear regression analysis showed that marital status, number of children, pre-retirement occupation, health, social network, social support, and social well-being were the main influencing factors of the social isolation of nursing home residents. Mediation effect analysis showed that Internet use has a non-significant direct effect on social isolation. The indirect effect of Internet use on social isolation was significantly exerted through social network, social support, social well-being, and the chain mediating pathways among them.

conclusionEncouraging nursing home residents to use the Internet is beneficial for their social connections and well-being. It can improve older adults’ social networks, social support, social well-being, and alleviate social isolation.

Indexed as

Internet UseNursing Home ResidentsNursing HomesSocial IsolationAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansMaleSocial NetworkingSocial SupportSurveys and QuestionnairesInternet useNursing homePath analysisSocial isolationSocial networkSocial supportSocial well-being

Identifiers

PMID41219705
PMCPMC12604291

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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.