Evidence map›Paper›PMID 40753430›Full record

ArticleBMC public health2025

Independent and combined relationships between light at night, air pollutants, PM

Ziyue Liang, Siyu Qing, Yifang Liang, Renfang Zhang, Mengyao Sun, Ziyu Ren, Chunejie Xu, Fei Lin, Yongbin Wang

Abstract read
In one paragraph

Article in BMC public health, 2025. 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. Review
  2. Review
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

9 authors.

Ziyue LiangDepartment of Epidemiology and Health Statistics, School of Public Health, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang City, 453003, Henan Province, P.R. China.
Siyu QingDepartment of Epidemiology and Health Statistics, School of Public Health, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang City, 453003, Henan Province, P.R. China.
Yifang LiangDepartment of Epidemiology and Health Statistics, School of Public Health, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang City, 453003, Henan Province, P.R. China.
Renfang ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang City, 453003, Henan Province, P.R. China.
Mengyao SunDepartment of Epidemiology and Health Statistics, School of Public Health, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang City, 453003, Henan Province, P.R. China.
Ziyu RenDepartment of Epidemiology and Health Statistics, School of Public Health, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang City, 453003, Henan Province, P.R. China.
Chunejie XuBeijing Key Laboratory of Antimicrobial Agents/Laboratory of Pharmacology, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100050, China. xuchunjie@imb.pumc.edu.cn.
Fei LinDepartment of Epidemiology and Health Statistics, School of Public Health, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang City, 453003, Henan Province, P.R. China. wybwho@163.com.
Yongbin WangDepartment of Epidemiology and Health Statistics, School of Public Health, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang City, 453003, Henan Province, P.R. China. 191035@xxmu.edu.cn.

Funding

Open Project Program of the Graduate Scientific and Technological Innovation Project of Xinxiang Medical University YJSCX202450Y
6 · The paper itself

Abstract

backgroundCardiovascular-kidney-metabolic (CKM) syndrome, characterized by interconnected cardiovascular, renal, and metabolic dysfunctions, poses a growing global health burden. While both light at night (LAN) and air pollutants have independently been linked to adverse health outcomes, their synergistic and joint effects on CKM syndrome risk remain poorly understood. This study aimed to assess the independent, interactive, and joint associations of LAN, air pollutants, and PM

methodsData from 4,361 participants aged ≥ 45 years in the China Health and Retirement Longitudinal Study (CHARLS, 2011-2015) were analyzed. Cox proportional hazards regression models were employed to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for CKM syndrome risk. Multiplicative and additive interactions between LAN and air pollutants were assessed using likelihood ratio tests and relative excess risk due to interaction (RERI). Joint effects were evaluated by categorizing exposures into tertiles.

resultsOver a median follow-up of 4.2 years, 792 incident CKM syndrome cases were identified. Adjusted models indicated that higher LAN exposure (highest vs. lowest quartile: HR = 1.46, 95% CI: 1.18-1.80) and increased levels of NO₂ (HR = 1.44, 95% CI: 1.18-1.75), PM

conclusionThis study provided evidence that LAN, air pollutants, and PM

Indexed as

Air PollutantsCardiovascular DiseasesEnvironmental ExposureKidney DiseasesLightMetabolic SyndromeParticulate MatterAgedChinaCohort StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsAir PollutantsParticulate MatterAir pollutantsCardiovascular-kidney-metabolic syndromeCohort studyJoint effectsLight at nightPM2.5 components

Identifiers

PMID40753430
PMCPMC12317460

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.