Evidence map›Paper›PMID 40295832›Full record

ArticleScientific reports2025

Circadian syndrome and mortality risk in adults aged ≥ 40 years: a prospective cohort analysis of CHARLS and NHANES.

Kun Zheng, Mengdi Wu, Yanjie Cao, Junhua Wang, Huijing Zhu, Bowen Li, Yifeng Yang, Yue Hu, Qitao Ren, Xiaohua Lan and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Circadian clock regulation of hemostasis: a systematic review of molecular pathways.Research and practice in thrombosis and haemostasis · 2026
    Pooled it
  2. Observational
  3. Article
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  7. Observational
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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

11 authors.

Kun Zheng *Department of Cardiology, Air Force Medical Center, Beijing, 100142, China.
Mengdi Wu *Graduate School of China Medical University, Shenyang, 110122, Liao Ning Province, China.
Yanjie CaoDepartment of Geriatrics, Air Force Medical Center, Beijing, 100142, China. 18610089727@163.com.
Junhua WangDepartment of Cardiology, Air Force Medical Center, Beijing, 100142, China.
Huijing ZhuHebei North University, Zhangjiakou, 075000, Hebei Province, China.
Bowen LiHebei North University, Zhangjiakou, 075000, Hebei Province, China.
Yifeng YangDepartment of Cardiology, Air Force Medical Center, Beijing, 100142, China.
Yue HuGraduate School of China Medical University, Shenyang, 110122, Liao Ning Province, China.
Qitao RenGraduate School of China Medical University, Shenyang, 110122, Liao Ning Province, China.
Xiaohua LanHebei North University, Zhangjiakou, 075000, Hebei Province, China.
Xiuming PanHebei North University, Zhangjiakou, 075000, Hebei Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circadian rhythm disruption is increasingly prevalent and associated with higher morbidity and mortality. This study investigates the relationship between Circadian Rhythm Syndrome (CircS) and mortality in middle-aged and older adults. This prospective cohort study utilized mortality follow-up data from the China Health and Retirement Longitudinal Study (CHARLS) and the National Health and Nutrition Examination Survey (NHANES). Cox proportional hazards models examined the association between CircS and all-cause mortality, while restricted cubic spline analysis explored non-linear relationships. Subgroup analyses investigated potential modifying factors. Cox models and Bayesian generalized linear models were used to explore relationships between CircS and specific causes of death. The study included 7,637 participants from CHARLS (2011-2020) and 9,320 participants from NHANES (2005-2018), with 142 and 1,321 all-cause deaths. The follow-up periods were 9.17 years for CHARLS and 15 years for NHANES. CircS was significantly associated with increased all-cause mortality risk (CHARLS: HR 1.79, 95% CI: 1.23-2.62; NHANES: HR 1.21, 95% CI: 1.03-1.42). A linear dose-response relationship was observed between the number of CircS components and mortality risk. CircS was positively associated with mortality from diabetes, cardiovascular, cerebrovascular, and kidney-related diseases. CircS is strongly associated with increased mortality risk. These findings underscore the importance of addressing circadian disruptions in public health strategies.

Indexed as

Chronobiology DisordersCircadian RhythmAdultAgedCause of DeathChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedNutrition SurveysProportional Hazards ModelsProspective StudiesRisk FactorsAll-causeCHARLSCircadian syndromeMortalityNHANES

Identifiers

PMID40295832
PMCPMC12037739

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.