Evidence map›Paper›PMID 40420074›Full record

ArticleBMC public health2025

Dose-response relationship between different physical activity types and depressive symptoms in middle-aged and elderly people: a study of Chinese urban-rural differences.

Rui Wang, Jianyu Tan, Zhewei Su, Yiting Kong, Su Hong, Pan Ran, Yuancen Zhong, Li Kuang

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
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

8 authors.

Rui Wang *Psychiatric Center, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, 400016, China.
Jianyu Tan *Psychiatric Center, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, 400016, China.
Zhewei SuPsychiatric Center, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, 400016, China.
Yiting KongPsychiatric Center, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, 400016, China.
Su HongPsychiatric Center, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, 400016, China.
Pan RanPsychiatric Center, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, 400016, China.
Yuancen ZhongPsychiatric Center, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, 400016, China.
Li KuangPsychiatric Center, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, 400016, China. kuangli0308@163.com.

Funding

Chongqing Excellence Program CQYC202101STI2030-Major Projects grant from the Ministry of Science and Technology of the People's Republic of China 2021ZD0200700
6 · The paper itself

Abstract

backgroundEvidence on the dose-response connection involving depressive symptoms and various types of physical activity in urban and rural populations is scarce. This study compares the dose-response connection across depressive symptoms and different types of activity in populations living in rural and urban areas.

methodsThe study is based on a cross-sectional weighted sample from the 2020 China Health and Retirement Longitudinal Study (CHARLS). Physical activity and depressive symptoms were assessed using self-reported activity from the CHARLS questionnaire and the Centre for Epidemiological Studies Depression Scale. Physical activity was computed in metabolic equivalents (METs) and depressive symptom cutoff is 10. 1 MET is the amount of oxygen used during rest (3.5 mL O2/kg/min). Multivariate logistic regression analyses were used to determine the dose-response relationship between different types of physical activity and depressive symptoms.

resultsPhysical activity of different types showed a varying relationship with depressive symptoms with dose in rural populations. However, in urban populations, recreational physical activity exhibited a negative correlation with depressive symptoms, while non-recreational activity displayed a positive correlation. Specifically, in the rural population, 600-3,000 METs-min/week of recreational physical activity was inversely linked to depressive symptoms, but recreational physical activity exceeding 3,000 METs-min/week was associated with a 13.2% risk increase in depressive symptoms (OR = 1.132, 95% CI: 1.131-1.132), and over 6,000 METs-min/week of non-recreational activity was similarly associated with an increased risk of depressive symptoms. In the urban population, recreational physical activity was related to a reduced incidence of depressive symptoms, with a maximum reduction of 71.7% at doses up to 9,000-12,000 METs min/week (OR = 0.283, 95% CI:0.282-0.284), and 6,000-9,000 non-recreational physical activities, the odds of increased risk of depressive symptoms were highest (OR = 2.224, 95% CI:2.221-2.227).

conclusionsOur study found a non-linear dose correlation between physical activities and depressive symptoms. The dose-response connection between different physical activity types and depressive symptoms varies between rural and urban areas. Recreational physical activity is recommended for urban and reasonable amounts of nonrecreational physical activity for rural populations to reduce the risk of depressive symptoms. However, causal interpretations cannot be made due to the cross-sectional design of the study.

Indexed as

DepressionExerciseRural PopulationUrban PopulationAgedChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansLongitudinal StudiesMaleMiddle AgedSurveys and QuestionnairesDepressive symptomsDosePhysical activityUrban-rural difference

Identifiers

PMID40420074
PMCPMC12105178

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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.