Evidence map›Paper›PMID 36081484›Full record

ArticleFrontiers in public health2022

Social participation of community-dwelling older adults in western China: A latent profile analysis.

Di Luo, Shiqi Yu, Jun Wang, Ying Zhu, Lining Yang, Ruonan Bai, Qianyi Rao, Qiang Zhang, Di Wu, Feng Wang and 2 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 36 citations in OpenAlex.

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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

12 authors at 4 institutions in 1 country.

Di LuoDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Shiqi YuDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jun WangDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ying ZhuDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Lining YangDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ruonan BaiDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Qianyi RaoDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Qiang ZhangService Center of Rehabilitation Assistive Technology of Sichuan Province, Sichuan, China.
Di WuInner Mongolia Autonomous Region Rehabilitation Assistive Device Center, Inner Mongolia, China.
Feng WangPanzhihua Wuyue Technology Co., Ltd, Pan Zhihua, China.
Qinghua ZhaoDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Mingzhao XiaoDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
First Affiliated Hospital of Chongqing Medical University · CNChongqing Medical University · CNPanzhihua University · CNScience and Technology Department of Sichuan Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Social participation has become a policy framework to address population aging. However, little is known about the social participation of older adults in western China, and extensive, multicenter, regional research is lacking. This research investigated the profiles of social participation of older adults in western China and explored the characteristics and factors influencing social participation. Method: This cross-sectional study was conducted in 3 provinces (Chongqing, Sichuan, and Inner Mongolia) in western China from March 2021 to December 2021 and included 3,456 participants aged 60 years or older. Social participation was assessed using the Chinese version of the Impact on Participation and Autonomy Questionnaire (IPA). Latent profile analysis (LPA) was performed to extract latent classes of social participation among older adults in western China. The chi-square test and multinomial regression analyses were used to identify differences between these classes. Results: Three social participation classes were identified by LPA: high social participation (25.2%), moderate social participation (55.1%), and low social participation (19.7%). Being older, having a primary school education level, having mobility or speaking impairment, using assistive devices, and having a chronic disease were highly associated with the low social participation class ( Conclusions: Most older adults in western China have a moderate level of social participation. Advanced age, reduced ADL ability, reduced speech ability, reduced mobility, and non-spouse care are related to the level of social participation. Healthcare professionals should pay attention to the predictors for different classes, identifying high-risk groups as early as possible.

Indexed as

Independent LivingSocial ParticipationActivities of Daily LivingAgedChinaCross-Sectional StudiesHumansactivities of daily livingagedlatent profiles analysissocial participationwestern China

Identifiers

PMID36081484
PMCPMC9446436
OpenAlexW4292696868

What OpenQuestion holds

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LicenceCC BY
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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.