Evidence map›Paper›PMID 41595380›Full record

ArticleHealthcare (Basel, Switzerland)2026

Physical Activity and Bidirectional Stage Transitions in Cardiovascular-Kidney-Metabolic Syndrome: A Cohort Study.

Chuan Mou, Xinrui Miao, Zhihua Wang

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Long-term cardiovascular risk with cardiovascular-kidney-metabolic syndrome in U.S adults.American heart journal plus : cardiology research and practice · 2026
    Article
  2. Article
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

3 authors.

Chuan MouInstitute of Physical Education, Sichuan University, Chengdu 610065, China.
Xinrui MiaoInstitute of Physical Education, Kunsan National University, Gunsan 54150, Republic of Korea.
Zhihua WangInstitute of Physical Education, Sichuan University, Chengdu 610065, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular-Kidney-Metabolic (CKM) syndrome involves interconnected cardiovascular, renal, and metabolic conditions. The dose-response relationship between physical activity and bidirectional CKM stage transitions remains unclear.

methodsUsing data from the China Health and Retirement Longitudinal Study (CHARLS), cross-sectional analysis pooled 14,310 observations from 10,868 participants. Logistic regression with clustered robust standard errors accounted for intra-individual correlation. Longitudinal analysis (

resultsCompared with Q1, Q2, Q3, and Q4 were associated with 43.1%, 52.5%, and 53.1% lower risk of high-risk CKM stages, respectively. RCS analysis demonstrated nonlinear dose-response relationships between physical activity and CKM stage progression. Subgroup analyses showed more pronounced protective effects in older adults and single individuals. During 4-year follow-up, 31.6% experienced progression and 6.8% showed improvement. Stage 4 acted as a complete absorbing state without any reversal. Transition intensity analysis revealed that transitions between adjacent stages were notably higher than cross-stage transitions. The Q4 physical activity level significantly reduced transitions from low-risk to high-risk states (HR = 0.598, 95% CI: 0.459-0.777) and promoted transitions from high-risk to low-risk states (HR = 2.995, 95% CI: 1.257-7.134).

conclusionsModerate-to-high physical activity effectively reduces CKM progression risk and promotes improvement, providing evidence for CKM prevention and management.

Indexed as

Cardiovascular-Kidney-Metabolic syndromeMarkov modelphysical activity

Identifiers

PMID41595380
PMCPMC12841378

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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.