Evidence map›Paper›PMID 33172439›Full record

ArticleBMC public health2020

Level of physical activity among middle-aged and older Chinese people: evidence from the China health and retirement longitudinal study.

Xiaowei Li, Wanda Zhang, Weiya Zhang, Ke Tao, Wenli Ni, Kai Wang, Zhanglai Li, Qiang Liu, Jianhao Lin

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

76 citing papers in PubMed, 124 citations in OpenAlex.

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16 more citing papers are in PubMed but not listed here.

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

9 authors at 2 institutions in 2 countries.

Xiaowei LiPeking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, CN, China.
Wanda ZhangPeking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, CN, China.
Weiya ZhangDivision of Rheumatology, Orthopaedics and Dermatology, University of Nottingham, Nottingham, UK.
Ke TaoPeking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, CN, China.
Wenli NiSchool of Public Health, Peking University Health, Beijing, CN, China.
Kai WangPeking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, CN, China.
Zhanglai LiPeking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, CN, China.
Qiang LiuPeking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, CN, China. liuqiang_pku@126.com.
Jianhao LinPeking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, CN, China. linjianhao@pkuph.edu.cn.ORCID http://orcid.org/0000-0002-4240-6995
Peking University · CNUniversity of Nottingham · GB

Funding

National Natural Science Foundation of China 81902247
6 · The paper itself

Abstract

backgroundWith data from different regions accumulated, physical inactivity (PI) was found to be pandemic worldwide. Using China Health and Retirement Longitudinal Study (CHARLS), a nationwide longitudinal survey data, we aimed to delineate the prevalence, incidence and risk factors of physical inactivity (PI) among Chinese people aged 45 years and older.

methodsThe CHARLS covered nearly all provinces, autonomous regions, municipalities of mainland China. With data from CHARLS, three cross-sectional analyses and a cohort analysis were conducted. In cross-sectional studies, we used surveys at 2011, 2013 and 2015 to examine the prevalence and its trend of PI. Multivariate generalized linear model was conducted in survey at 2011 to examine the risk factors for prevalent PI. Multiple imputation of missing values was used and results before and after imputation were compared. In cohort analysis, we identified people free of PI at 2011 and followed them up until 2015 to estimate the incidence of PI. Generalized estimating equation was used to examine the risk factors associated with incidence PI. In all analyses, PI was defined as insufficient physical activity according to the International Physical Activity Questionnaire (IPAQ) criterion.

results6650, 5946 and 9389 participants were eligible for cross-sectional analyses, and 4525 participants were included for cohort analysis. The weighted prevalence of PI was 22.25% (95% CI: 20.63-23.95%) in 2011, 20.64% (95% CI: 19.22-22.14%) in 2013 and 19.31% (95% CI: 18.28-20.38%) in 2015. In multivariate analysis, PI was associated with older age, higher education, overweight, obesity and difficulties in daily living, and was negatively associated with working and higher level of expenditure. No material change was detected in results after multiple imputation. In cohort analysis, older age, abundant public facilities, difficulties in daily living were identified as risk factors of incidence PI, while urban areas, college and above education, and working were protective factors.

conclusionsPI is pandemic in 45 years and older people in China. People with older age, difficulties in daily living and people who are not working are at higher risk. More efforts should be paid in estimating and promoting leisure-time physical activities.

Indexed as

ExerciseRetirementAgedAged, 80 and overChinaCross-Sectional StudiesHumansLongitudinal StudiesMiddle AgedPrevalenceChinaPhysical inactivityPublic health

Identifiers

PMID33172439
PMCPMC7653852
OpenAlexW3100794568

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.