Evidence map›Paper›PMID 37845627›Full record

ArticleBMC geriatrics2023

Relationship between social interaction and health of the floating elderly population in China: an analysis based on interaction type, mode and frequency.

Yiqing Xing, Liang Zhang, Yuelu Zhang, Ruibo He

Abstract read
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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

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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

14 citing papers in PubMed.

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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

4 authors.

Yiqing XingSchool of Political Science and Public Administration, Wuhan University, 299 Bayi Road, Wuchang District, Wuhan City, Hubei Province, China.
Liang ZhangSchool of Political Science and Public Administration, Wuhan University, 299 Bayi Road, Wuchang District, Wuhan City, Hubei Province, China.
Yuelu ZhangSchool of Grammar and Law, Huazhong Agricultural University, 1 Shizishan Street, Hongshan District, Wuhan City, Hubei Province, China.
Ruibo HeSchool of Political Science and Public Administration, Wuhan University, 299 Bayi Road, Wuchang District, Wuhan City, Hubei Province, China. heruibo27@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the health of the floating elderly population is an important part of active and healthy ageing, it is neglected in current Chinese society. Based on the general consensus that social interaction can affect the health of the floating population, this study explored whether the interaction type, mode and frequency influenced the health of the floating elderly population in China and investigated the variability of these influential effects.

methodsThis study used the China Migrant Population Dynamic Survey Data 2017 and selected 5239 floating elderly individuals over 60 years old. Self-rated health was used to assess the comprehensive health status of respondents. Social interaction was measured by the interaction type, mode and frequency. Descriptive statistical analysis was used to analyse the health and social interaction status. An ordinal probit model was used to estimate the influential effects and differences on health caused by social interaction. The 2SLS model was used to examine the mutual causality relationship between interaction frequency and health, and a robustness test was conducted.

resultsA total of 44.6% interacted with local residents, 14.2% participated in interaction activities based on geographical relations, and only 4.3% and 7% participated in interactions based on business and interest, respectively. Interacting with natives improved individuals' self-rated health by 18.5%; specifically, geographical interaction increased self-rated health by 40.9%, occupational interaction increased it by 25.2%, interest-based interaction increased it by 41.2%, and interaction frequency improved the self-rated health (β = 0.128). In addition, sex, education level, personal income, and floating into the eastern region had a positive effect on individuals' health. However, age, spouse and hukou exerted a negative effect.

conclusionsThis study demonstrated that interacting with local residents could improve the health of floating elderly population, and revealed that interest-based interaction and their frequency had a positive impact on health. The government should speed up the construction of the voluntary service system and encourage the floating elderly population to realize their personal value in social interaction. In addition, the reform of the hukou system should be further promoted, so as to remove institutional barriers to the social interaction.

Indexed as

Health StatusSocial InteractionAgedChinaEducational StatusHumansChinaFloating elderly populationHealthSocial interaction

Identifiers

PMID37845627
PMCPMC10580520

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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.