Evidence map›Paper›PMID 41938945›Full record

ArticleFrontiers in public health2026

Relative contributions of lifestyle factors to stage-specific progression and mortality in cardiovascular-kidney-metabolic syndrome: a prospective cohort study with multi-state models.

Qi Chen, Nian Duan, Shenrui Li, Fenghuixue Liu, Ping Yin

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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. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Qi Chen *Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Nian Duan *Department of Day Surgery, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Shenrui LiDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Fenghuixue LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ping YinDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiovascular-kidney-metabolic (CKM) syndrome, a novel multisystem disorder, integrates interconnected risks across cardiovascular, renal, and metabolic systems. While lifestyle factors are known to influence each CKM component disease, their impact on the dynamic progression of CKM syndrome as a unified entity remains unclear, particularly across its longitudinal stages and clinical subtypes (4a/4b). Methods: The study included 308,657 United Kingdom Biobank participants in CKM stages 0-3 at baseline. Multi-state models were used to investigate the effects of composite and individual lifestyle scores (smoking, alcohol consumption, physical activity, diet, sleep duration, and sedentary time) on transitions to clinical stage and subsequent death. The relative contribution of each factor was quantified using quantile G-computation. Results: During a median follow-up of 13.71 years, 30,516 participants progressed to stage 4 and 22,280 deaths occurred. Each 1-point improvement in lifestyle score was associated with approximately a 15% lower risk of CKM progression. After refining stage 4 into subtypes, the strongest protective effect was observed in transition from baseline to stage 4b, with hazard ratios (HRs) of 0.57 [95% confidence interval (CI): 0.52-0.63] for the score 2-4 group and 0.35 (95% CI: 0.30-0.41) for the score 5-6 group, compared to score 0-1. Never smoking showed the greatest contribution overall (23.1-65.1%) across stage transitions, with the strongest risk reduction observed in the transition from stage 4a to death (HR = 0.65, 95% CI: 0.60-0.70). Conclusion: A healthy lifestyle was associated with slower longitudinal CKM syndrome progression. These findings support stage-specific lifestyle strategies and early intervention, emphasizing smoking cessation as a key target to delay CKM progression and reduce premature death.

Indexed as

Cardiovascular DiseasesDisease ProgressionKidney DiseasesLife StyleMetabolic SyndromeAgedFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsUnited Kingdomcardiovascular diseasecardiovascular-kidney-metabolic syndromedisease progressionlifestyle factorsmulti-state modelsUK biobank

Identifiers

PMID41938945
PMCPMC13047162

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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.