Evidence map›Paper›PMID 37803340›Full record

ArticleBMC public health2023

Physical activity and transitioning to retirement: evidence from the China health and retirement longitudinal study.

Huiyan Fang, Zihui Xiong, Yilin Li, Wenhui Cui, Ziping Cheng, Ji Xiang, Ting Ye

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
8.7field-weighted citation impact, top 2% 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

10 citing papers in PubMed, 10 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

7 authors at 1 institution in 1 country.

Huiyan FangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Zihui XiongSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yilin LiSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Wenhui CuiSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ziping ChengSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ji XiangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ting YeSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. yeting@hust.edu.cn.
Huazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe impact of retirement on physical activity among older individuals remains ambiguous. This study aims to investigate the influence of retirement on physical activity and delineate the trajectories of physical activity changes during the retirement transition among elderly Chinese residents. Additionally, we endeavor to examine the factors that contribute to each trajectory.

methodsThis longitudinal cohort study used data from four surveys of the China Health and Retirement Longitudinal Study and included a sample of 428 individuals who underwent formal retirement and provided information on physical activity. We employed generalized estimating equation to explore the impact of the retirement transition on physical activity among Chinese older adults. Latent class growth analysis was used to identify distinct trajectories of physical activity, and binary logistic regression was performed to identify pre-retirement factors influencing changes in physical activity.

resultsOur findings indicate that retirement can lead to a decline in physical activity among older Chinese residents (OR = 0.85, 95%CI 0.75 ~ 0.97). We identified three distinct trajectories of physical activity during the retirement transition: Trajectory 1 - "sustained low level of physical activity" (7.94%); Trajectory 2 - "middle level of physical activity with gradual decline" (69.16%); Trajectory 3 - "sustained high level of physical activity with significant fluctuations" (22.90%). Furthermore, we discovered that individuals in the "middle level of physical activity and gradual decline" trajectory were more likely to have an annual income exceeding 40,000 yuan (OR = 9.69, 95%CI 1.12 ~ 83.63), reside in urban areas (OR = 2.27, 95%CI 1.14 ~ 4.52), and have a fondness for playing Mahjong (OR = 2.42, 95%CI 1.18 ~ 5.00) compared to those in the "sustained high level of physical activity with significant fluctuations" trajectory. Additionally, having an annual income exceeding 40,000 yuan (OR = 19.67, 95%CI 1.30 ~ 298.61) predicted membership in the "sustained low level of physical activity" trajectory when compared to the "sustained high level of physical activity with significant fluctuations" trajectory.

conclusionRetirement represents a substantial milestone in the life course and is associated with notable alterations in physical activity patterns. Among older Chinese residents, the trajectories of physical activity during the retirement transition exhibit diverse paths and are influenced by pre-retirement factors, including annual income, residential location, and hobbies. The findings of this study have important implications for the formulation of policies aimed at promoting healthy aging among individuals approaching retirement age.

Indexed as

ExerciseRetirementAgedChinaCohort StudiesHumansLongitudinal StudiesSurveys and QuestionnairesLatent class growth analysisPhysical activityRetirement

Identifiers

PMID37803340
PMCPMC10557290
OpenAlexW4387402361

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.