Social support and health behaviors of older adults during the COVID-19 pandemic in China: a moderated mediation model of loneliness and economic income

The provision of enhanced social support and the alleviation of loneliness among older adults during an epidemic can facilitate the development of healthy behaviours, particularly among those who are economically disadvantaged.

Authors

Institutions

Publication Details

Journal
BMC Public Health
Published
2024-10-11
DOI
https://doi.org/10.1186/s12889-024-20272-8
Citations
6
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
3.17

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Social support and health behaviors of older adults during the COVID-19 pandemic in China: a moderated mediation model of loneliness and economic income

Qianyi Zhou, Jin Peng, Yanwei Lin, Ziyue Fan et al.
6 citations
BMC Public Health
Health disparities and outcomes
3.17
article

Social support and health behaviors of older adults during the COVID-19 pandemic in China: a moderated mediation model of loneliness and economic income

Qianyi Zhou, Jin Peng, Yanwei Lin, Ziyue Fan, Hongyuan Qi
article en
6 citations

Abstract

The provision of enhanced social support and the alleviation of loneliness among older adults during an epidemic can facilitate the development of healthy behaviours, particularly among those who are economically disadvantaged.

BMC Public HealthVol. 24(1)
Guangdong Medical College (CN), London School of Economics and Political Science (GB)
National Natural Science Foundation of China
No poverty
Openalex Percentile: Top 7%
Health disparities and outcomes
3.17
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.