Evidence map›Paper›PMID 40598464›Full record

ArticleBMC medicine2025

Cross-national differences in the association between estimated cardiorespiratory fitness and depressive symptoms among older adults: findings from three nationwide cohort studies.

Xue He, Cong Li, GuangYao Hua, Yan Wang, Lijun Zhang, Chingyu Cheng, Jinghua Jiao, Honghua Yu, Xiaohong Yang, Lei Liu

Abstract read
In one paragraph

Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

10 authors.

Xue He *Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Cong Li *Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
GuangYao HuaDepartment of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Yan WangDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Lijun Zhang *Department of Ophthalmology, Affiliated Dalian Third People's Hospital of Dalian Medical University, Branch of National Clinical Research Center for Eye Diseases, Liaoning Provincial Key Laboratory of Cornea and Ocular Surface Diseases, Liaoning Provincial Optometry Technology Engineering Research Center, Dalian, China.
Chingyu ChengSingapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
Jinghua JiaoDepartment of Anesthesiology, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China. jean0905@163.com.
Honghua YuDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China. yuhonghua@gdph.org.cn.
Xiaohong YangDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China. syyangxh@scut.edu.cn.
Lei LiuMedical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China. liulei@gdph.org.cn.

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2023B1515120028Guangdong Provincial People's Hospital Supporting Fund for Talent Program KY0120220263LiaoNing Revitalization Talents Program (XLYC2203192), National Natural Science Foundation of China (82271125, 81870663 and 82171075Personalized Medical Incubator Project, The fund for Precison Medicine Research and Industry Development in SIMQ 2023-31the GDPH Scientific Research Funds for Leading Medical Talents and Distinguished Young Scholars in Guangdong Province KJ012019457the launch fund of Guangdong Provincial People's Hospital for NSFC (8217040449, 8227040339 and 8217040546the Outstanding Young Talent Trainee Program of Guangdong Provincial People's Hospital KJ012019087the Science and Technology Program of Guangzhou 20220610092
6 · The paper itself

Abstract

backgroundCardiorespiratory fitness (CRF) is a modifiable risk factor for chronic diseases, but its association with depressive symptoms remains unclear, particularly across different populations. We aimed to investigate the link between estimated CRF (eCRF) and incident depressive symptoms among individuals over 50 years old, and to explore potential cross-country variations in this association.

methodsData were retrieved from three national cohorts: the Health and Retirement Study (HRS, United States), the English Longitudinal Study of Ageing (ELSA, England), and the China Health and Retirement Longitudinal Study (CHARLS, China). eCRF was estimated using sex-specific algorithms and categorized into low (quintiles 1), moderate (quintiles 2-3), and high (quintiles 4-5) levels. Depressive symptoms were measured using the 8-item Center for Epidemiological Studies Depression Scale (CESD-8) (cutoff ≥ 3) in HRS and ELSA, and the 10-item version (CESD-10) (cutoff ≥ 10) in CHARLS. Cox proportional hazard models estimated hazard ratios (HRs) and 95% confidence intervals (CIs), adjusting for potential confounders.

resultsThis study included 13,680 participants (4195 from HRS, 5421 from ELSA, and 4064 from CHARLS) with median follow-ups of 9.78, 12.11, and 5.73 years, respectively. Depressive symptoms incidence was 22.79% in HRS, 22.15% in ELSA, and 40.58% in CHARLS. Per 1-SD increase in eCRF was associated with 9% lower risk of depressive symptoms in HRS (HR = 0.91; 95% CI, 0.87-0.96), 8% lower in ELSA (HR = 0.92; 95% CI, 0.87-0.97), but 6% higher in CHARLS (HR = 1.06; 95% CI, 1.01-1.16). Compared with the low eCRF level group, high eCRF level was associated with decreased risk of depressive symptoms in HRS (HR = 0.69; 95% CI, 0.55-0.85) and ELSA (HR = 0.62; 95% CI, 0.48-0.79), but increased risk in CHARLS (HR = 1.27; 95% CI, 1.01-1.61). Subgroup analyses revealed that the associations were modified by smoking status (HRS), by gender and presence of diabetes (ELSA), and by the presence of hypertension (CHARLS) (P for interaction < 0.05).

conclusionsA higher level of eCRF was associated with reduced depressive symptoms risk in the US (HRS) and England (ELSA) older adults but with increased risk in China (CHARLS), emphasizing the need for nation-specific public health strategies.

Indexed as

Cardiorespiratory FitnessDepressionAgedChinaCohort StudiesEnglandFemaleHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsUnited StatesCardiorespiratory fitnessDepressive symptomsNationwide cohort studiesOlder adults

Identifiers

PMID40598464
PMCPMC12220467

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.