Evidence map›Paper›PMID 41971260›Full record

ArticleFrontiers in public health2026

Dynamic interactions between physical activity, exercise adherence, and adverse psychological states in Chinese older adults: a cross-lagged network analysis.

Luyao Xiang, Hao Gou, Jing Yang, Chang Hu, Dong Zhu, Bo Xu

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Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Luyao Xiang *Zhuhai Campus, Zunyi Medical University, Zhuhai, China.
Hao Gou *College of Physical Education, Qiannan Normal University for Nationalities, Duyun, China.
Jing YangMianyang Normal University, Mianyang, China.
Chang HuCollege of Physical Education, Jiangxi Normal University, Nanchang, China.
Dong ZhuHunan University of Medicine, Huaihua, China.
Bo XuHunan University of Medicine, Huaihua, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the accelerating process of population ageing in China, negative emotional problems in older people have become increasingly prominent. Exploring the dynamic relationship between these emotions and physical activity, as well as exercise adherence, is of great significance for promoting the physical and mental health of older people. Methods: This study used a longitudinal design to conduct two follow-up surveys of 876 older adult individuals in China. A cross-lagged network analysis method was employed to examine the interactions between physical activity, exercise adherence, and adverse psychological states indicators (depression, anxiety, stress, loneliness, and sadness/anger rumination). Results: Cross-sectional network analysis showed that physical activity and exercise adherence maintained a stable relationship, and the network structure tended to become more concentrated over time. The cross-lagged analysis found that exercise adherence not only showed good temporal stability ( Conclusion: Exercise adherence plays a key role in the physical and mental health of the older adult in China, serving as an important bridge between physical activity and psychological wellbeing. The findings provide an important basis for developing targeted health promotion programs for older people, suggesting that emphasis should be placed on the formation and maintenance of exercise habits, with phased and multi-level intervention strategies.

Indexed as

ExercisePatient ComplianceAgedAnxietyChinaCross-Sectional StudiesDepressionEast Asian PeopleFemaleHumansLonelinessLongitudinal StudiesMaleStress, PsychologicalSurveys and Questionnairesadverse psychological statescross-lagged network analysisdynamic relationshipexercise adherenceolder adult population in Chinaphysical activity

Identifiers

PMID41971260
PMCPMC13062193

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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.