Daylight Saving Time and Acute Myocardial Infarction: A Meta-Analysis.

acute myocardial infarction chronobiology circadian rhythm daylight saving time meta-analysis

Journal

Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588

Informations de publication

Date de publication:
23 Mar 2019
Historique:
received: 21 02 2019
revised: 12 03 2019
accepted: 20 03 2019
entrez: 27 3 2019
pubmed: 27 3 2019
medline: 27 3 2019
Statut: epublish

Résumé

The available evidence on the effects of daylight saving time (DST) transitions on major cardiovascular diseases is limited and conflicting. We carried out the first meta-analysis aimed at evaluating the risk of acute myocardial infarction (AMI) following DST transitions. We searched cohort or case-control studies evaluating the incidence of AMI, among adults (≥18 y), during the weeks following spring and/or autumn DST shifts, versus control periods. The search was made in MedLine and Scopus, up to 31 December 2018, with no language restriction. A summary odds ratio of AMI was computed after: (1) spring, (2) autumn or (3) both transitions considered together. Meta-analyses were also stratified by gender and age. Data were combined using a generic inverse-variance approach. Seven studies (>115,000 subjects) were included in the analyses. A significantly higher risk of AMI (Odds Ratio: 1.03; 95% CI: 1.01⁻1.06) was observed during the two weeks following spring or autumn DST transitions. However, although AMI risk increased significantly after the spring shift (OR: 1.05; 1.02⁻1.07), the incidence of AMI during the week after winter DST transition was comparable with control periods (OR 1.01; 0.98⁻1.04). No substantial differences were observed when the analyses were stratified by age or gender. The risk of AMI increases modestly but significantly after DST transitions, supporting the proposal of DST shifts discontinuation. Additional studies that fully adjust for potential confounders are required to confirm the present findings.

Sections du résumé

BACKGROUND BACKGROUND
The available evidence on the effects of daylight saving time (DST) transitions on major cardiovascular diseases is limited and conflicting. We carried out the first meta-analysis aimed at evaluating the risk of acute myocardial infarction (AMI) following DST transitions.
METHODS METHODS
We searched cohort or case-control studies evaluating the incidence of AMI, among adults (≥18 y), during the weeks following spring and/or autumn DST shifts, versus control periods. The search was made in MedLine and Scopus, up to 31 December 2018, with no language restriction. A summary odds ratio of AMI was computed after: (1) spring, (2) autumn or (3) both transitions considered together. Meta-analyses were also stratified by gender and age. Data were combined using a generic inverse-variance approach.
RESULTS RESULTS
Seven studies (>115,000 subjects) were included in the analyses. A significantly higher risk of AMI (Odds Ratio: 1.03; 95% CI: 1.01⁻1.06) was observed during the two weeks following spring or autumn DST transitions. However, although AMI risk increased significantly after the spring shift (OR: 1.05; 1.02⁻1.07), the incidence of AMI during the week after winter DST transition was comparable with control periods (OR 1.01; 0.98⁻1.04). No substantial differences were observed when the analyses were stratified by age or gender.
CONCLUSION CONCLUSIONS
The risk of AMI increases modestly but significantly after DST transitions, supporting the proposal of DST shifts discontinuation. Additional studies that fully adjust for potential confounders are required to confirm the present findings.

Identifiants

pubmed: 30909587
pii: jcm8030404
doi: 10.3390/jcm8030404
pmc: PMC6463000
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Subventions

Organisme : Università degli Studi di Ferrara
ID : FIR 2018

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Auteurs

Roberto Manfredini (R)

Faculty of Medicine, Surgery and Prevention, University of Ferrara, via Ludovico Ariosto 35, 44121 Ferrara, Italy. roberto.manfredini@unife.it.
Azienda Ospedaliero-Universitaria 'S. Anna', Via Aldo Moro 8, 44123 Ferrara, Italy. roberto.manfredini@unife.it.

Fabio Fabbian (F)

Faculty of Medicine, Surgery and Prevention, University of Ferrara, via Ludovico Ariosto 35, 44121 Ferrara, Italy. fabio.fabbian@unife.it.
Azienda Ospedaliero-Universitaria 'S. Anna', Via Aldo Moro 8, 44123 Ferrara, Italy. fabio.fabbian@unife.it.

Rosaria Cappadona (R)

Faculty of Medicine, Surgery and Prevention, University of Ferrara, via Ludovico Ariosto 35, 44121 Ferrara, Italy. rosaria.cappadona@unife.it.
Azienda Ospedaliero-Universitaria 'S. Anna', Via Aldo Moro 8, 44123 Ferrara, Italy. rosaria.cappadona@unife.it.

Alfredo De Giorgi (A)

Azienda Ospedaliero-Universitaria 'S. Anna', Via Aldo Moro 8, 44123 Ferrara, Italy. a.degiorgi@ospfe.it.

Francesca Bravi (F)

Azienda Ospedaliero-Universitaria 'S. Anna', Via Aldo Moro 8, 44123 Ferrara, Italy. f.bravi@ospfe.it.

Tiziano Carradori (T)

Azienda Ospedaliero-Universitaria 'S. Anna', Via Aldo Moro 8, 44123 Ferrara, Italy. t.carradori@ospfe.it.

Maria Elena Flacco (ME)

Regional Healthcare Agency of Abruzzo, via Attilio Monti 9, 65127 Pescara, Italy. elena.flacco@gmail.com.

Lamberto Manzoli (L)

Faculty of Medicine, Surgery and Prevention, University of Ferrara, via Ludovico Ariosto 35, 44121 Ferrara, Italy. lmanzoli@post.harvard.edu.
Azienda Ospedaliero-Universitaria 'S. Anna', Via Aldo Moro 8, 44123 Ferrara, Italy. lmanzoli@post.harvard.edu.
Regional Healthcare Agency of Abruzzo, via Attilio Monti 9, 65127 Pescara, Italy. lmanzoli@post.harvard.edu.
Center of Clinical Epidemiology, University of Ferrara, via Fossato di Mortara 64B, 44121 Ferrara, Italy. lmanzoli@post.harvard.edu.

Classifications MeSH