Evidence map›Paper›PMID 35232397›Full record

ArticleBMC public health2022

Time trend analysis of leisure-time activity participation among young-old adults in China 2002-2018.

Joelle H Fong, Qiushi Feng, Wei Zhang, Huashuai Chen

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Joelle H FongLee Kuan Yew School of Public Policy, National University of Singapore, 469C Bukit Timah Road, National University of Singapore, Singapore, Singapore. j.fong@nus.edu.sg.
Qiushi FengDepartment of Sociology & Centre for Family and Population Research, National University of Singapore, Singapore, Singapore.
Wei ZhangDepartment of Sociology, University of Hawai'i at Mānoa, Honolulu, USA.
Huashuai ChenSchool of Business, Xiangtan University, Hunan, China. huashuai.chen@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo examine the time trends of leisure activity engagement among young-old adults aged 65-74 in China over a 16-year period.

methodsData for a nationally representative sample of young-old adults was sourced from the 2002-2018 Chinese Longitudinal Healthy Longevity Survey (N = 9504). Generalized estimating equations regressions were implemented to assess temporal trends for 10 different leisure-time activities. We also evaluated time trends for solitary versus social leisure-time activities.

resultsYoung-old adults were less likely to engage in any form of social activities (e.g. participate in social events) over time, controlling for other confounders such as age, sex, education, income, and health characteristics. Trends in outdoor activities participation and tourism also declined over 2002-2014, but reversed in 2018. In contrast, solitary leisure activities (e.g. watching TV) became more popular. There was a significant spike in the likelihood of keeping pets from 2011 onwards, especially among urbanites.

conclusionsThe future elderly in China have tended towards home-bound and solitary leisure activities over time, which warrants policy attention and public health interventions to reverse such trends.

Indexed as

Leisure ActivitiesLongevityAdultAgedChinaEducational StatusHumansLongitudinal StudiesChinaLeisure activityPopulation agingTemporal trends

Identifiers

PMID35232397
PMCPMC8889756

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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.