Ambient temperature anomalies induce electrocardiogram abnormalities: Findings from a nationwide longitudinal study.

Association Climate change Electrocardiogram Longitudinal study Temperature anomaly

Journal

Environmental research
ISSN: 1096-0953
Titre abrégé: Environ Res
Pays: Netherlands
ID NLM: 0147621

Informations de publication

Date de publication:
01 Apr 2024
Historique:
received: 13 09 2023
revised: 02 12 2023
accepted: 19 12 2023
medline: 18 3 2024
pubmed: 22 12 2023
entrez: 21 12 2023
Statut: ppublish

Résumé

Electrocardiogram (ECG) outcomes serve as early manifestations of cardiovascular functional or structural changes. While temperature fluctuation has been demonstrated to be a risk factor for cardiovascular diseases, few epidemiological studies have reported its relationship with ECG outcomes. In this study, we employed temperature anomaly (TA) as an innovative indicator of temperature fluctuation to quantify its detrimental impacts on ECG outcomes. A longitudinal study design was conducted using the repeated ECG records of the China National Stroke Screening Survey from 2013 to 2019. Only individuals undergoing at least two ECG tests were included. The daily temperature was assimilated by combining three kinds of data: in situ observations, satellite remote sensing measurements and weather research forecast simulations. We used generalized estimating equations to control for autocorrelation among repeated records and to estimate the association between TA and the risk of ECG abnormalities. We found 6837 events of ECG abnormalities in 47,286 individuals with 102,030 visits. Each unit increment of TA increased the risk of ECG abnormalities [odds ratio (OR) = 1.009, 95% confidence interval (CI): 1.001-1.017] and the risk of myocardial ischemia (OR = 1.061, 95% CI: 1.012-1.111). Hierarchic analyses presented a similar association of TA with both ECG abnormalities (OR = 1.017, 95% CI: 1.008-1.026) and myocardial ischemia (OR = 1.061, 95%CI: 1.011-1.114) in Northern China, but not in Southern China. The exposure-response relationship was estimated as a U-shaped curve centered at the TA value of zero. Sudden warming tended to increase the risk of ECG abnormalities and myocardial ischemia, and sudden cooling tended to increase the risk of atrial fibrillation. All these detrimental effects of TA could be modified by specific individual characteristics. In summary, ambient temperature fluctuation increased the risk of ECG abnormalities. This result indicated that regular ECG tests could be an early-warning measure for monitoring the adverse health effects of temperature fluctuations.

Identifiants

pubmed: 38128602
pii: S0013-9351(23)02800-1
doi: 10.1016/j.envres.2023.117996
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

117996

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Jian Guo (J)

State Key Laboratory for Complex, Severe, and Rare Diseases, Peking Union Medical College Hospital, Beijing, 100730, China; Department of Cardiology, Peking Union Medical College Hospital, Beijing, 100730, China.

Tao Xue (T)

Department of Epidemiology and Biostatistics/Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, 100191, China; State Environmental Protection Key Laboratory of Atmospheric Exposure and Health Risk Management, Center for Environment and Health, Peking University, Beijing, 100871, China; Advanced Institute of Information Technology, Peking University, Hangzhou, China. Electronic address: xuetaogk_9032@126.com.

Man Cao (M)

School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10005, China.

Xueyan Han (X)

School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10005, China.

Zhaoyang Pan (Z)

School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10005, China.

Dengmin Huang (D)

School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10005, China.

Wei Sun (W)

School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10005, China.

Jiarun Mi (J)

School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10005, China.

Yuanli Liu (Y)

School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10005, China.

Tianjia Guan (T)

School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10005, China. Electronic address: guan_tianjia@163.com.

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Classifications MeSH