Evidence map›Paper›PMID 35457411›Full record

ArticleInternational journal of environmental research and public health2022

Patterns of Living Lost? Measuring Community Participation and Other Influences on the Health of Older Migrants in China.

Xiangjing Zhang, Wusi Zhou, Biya Jiang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

5 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

3 authors.

Xiangjing ZhangSchool of Public Administration, Hangzhou Normal University, Hangzhou 311121, China.ORCID 0000-0002-2160-3519
Wusi ZhouSchool of Public Administration, Hangzhou Normal University, Hangzhou 311121, China.ORCID 0000-0002-8054-5312
Biya JiangSchool of Public Administration, Hangzhou Normal University, Hangzhou 311121, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Community participation is a key element of active aging that promotes a new paradigm to enhance health and well-being as people age. However, social isolation is often a concern for older migrants. In this study, we aimed to investigate the current status of older migrants' community participation and assess the main influences on three forms of welfare, development, and organizational participation. We adopted a quantitative research design for this study. A questionnaire survey was completed by 1216 older migrants in 4 cities; 1105 valid responses were received, representing a response rate of around 91%. The research findings showed that the current participation of older migrants in community activities was limited. By comparison, full self-care capability and non-chronic illness positively affected general and welfare participation. Educated at primary school had a negative influence on general, development, and organizational participation, whereas knowledge of the local language was a significant predictor of general and development participation. Urban inclusion and resident friendship had positive effects on general, welfare, and development participation. The study also revealed direct influences of socioeconomic characteristics on different types of participation. Moving forward, actions are needed to maximize older migrants' participation in public events and community life.

Indexed as

Transients and MigrantsChinaCitiesCommunity ParticipationHumansSurveys and Questionnairescare servicescommunity activitiesenvironmental characteristicshealth statushuman capitalolder adults

Identifiers

PMID35457411
PMCPMC9025910

What OpenQuestion holds

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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.