Evidence map›Paper›PMID 38106887›Full record

ArticleFrontiers in public health2023

Community engagement and loneliness in older adults in China: mediation effects of social support in the wake of COVID-19.

Xiaoxia Xie, Chienchung Huang, Sophie Sitar, Xingyong Qiao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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 at 2 institutions in 2 countries.

Xiaoxia XieResearch Institute of Social Development, Southwestern University of Finance and Economics, Chengdu, Sichuan, China.
Chienchung HuangSchool of Social Work, Rutgers, The State University of New Jersey, New Brunswick, NJ, United States.
Sophie SitarSchool of Social Work, Rutgers, The State University of New Jersey, New Brunswick, NJ, United States.
Xingyong QiaoResearch Institute of Social Development, Southwestern University of Finance and Economics, Chengdu, Sichuan, China.
Rutgers, The State University of New Jersey · USSouthwestern University of Finance and Economics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Loneliness is a key indicator of well-being in older adults. Drawing from the ecological model of aging, the active aging perspective, and the convoy model of social relations, this study investigates the extent community engagement influences loneliness and whether the relationship is mediated by social support during the COVID-19 pandemic. Methods: Data was collected from 1,067 retired older adults in a cross-sectional design in Chengdu, China in 2022. Structural equation modeling was conducted to examine the direct and indirect effects of community engagement on loneliness through the hypothesized mediator of social support. Results: The results show community engagement was positively associated with social support (β = 0.26, Discussion: The findings from the moderation analysis suggests community engagement and social support are likely to have large effects on loneliness for older adults over the age of 70 and who have low educational attainment. The findings suggest community engagement could be an important factor for improving social support and reducing loneliness amongst retired, older adults in China, especially in the wake of the COVID-19 pandemic where millions of individuals were isolated for extended periods of time.

Indexed as

COVID-19LonelinessAgedCross-Sectional StudiesHumansPandemicsSocial Supportcommunity engagementCOVID-19lonelinessolder adultssocial support

Identifiers

PMID38106887
PMCPMC10722421
OpenAlexW4389265390

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.