Tags

Type your tag names separated by a space and hit enter

Sample size bias in the empirical assessment of the acute risks associated with daylight saving time transitions.
Chronobiol Int. 2023 02; 40(2):186-191.CI

Abstract

The assessment of the acute impact of daylight saving time (DST) transitions is a question of great interest for an understanding of the benefits and inconveniences of a practice that is now under public scrutiny in Europe and America. Here, we report a thorough analysis of a record of 13 well-known research studies that reported increased risks associated with DST transitions in health issues - acute myocardial infarction, ischemic strokes and trauma admissions - and in societal issues - accidents, traffic accidents and fatal motor vehicle accidents. We found that a five percent increase of the risks suffices to understand the reported increased risks associated with the spring transition. Reported values above this threshold are impacted by the sample size of the study. In the case of the autumn transition, no increase in the risks is found.

Links

Publisher Full Text (DOI)

Authors+Show Affiliations

Martín-Olalla JM
Facultad de Física, Departamento de Física de la Materia Condensada, Universidad de Sevilla, Sevilla, Spain.
Mira J
Facultade de Física, Departamento de Física Aplicada and iMATUS, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.

MeSH

HumansCircadian RhythmSample SizeMyocardial InfarctionSeasonsAccidents, Traffic

Pub Type(s)

Journal Article

Language

eng

PubMed ID

36594375

Citation

Martín-Olalla, José María, and Jorge Mira. "Sample Size Bias in the Empirical Assessment of the Acute Risks Associated With Daylight Saving Time Transitions." Chronobiology International, vol. 40, no. 2, 2023, pp. 186-191.
Martín-Olalla JM, Mira J. Sample size bias in the empirical assessment of the acute risks associated with daylight saving time transitions. Chronobiol Int. 2023;40(2):186-191.
Martín-Olalla, J. M., & Mira, J. (2023). Sample size bias in the empirical assessment of the acute risks associated with daylight saving time transitions. Chronobiology International, 40(2), 186-191. https://doi.org/10.1080/07420528.2022.2157738
Martín-Olalla JM, Mira J. Sample Size Bias in the Empirical Assessment of the Acute Risks Associated With Daylight Saving Time Transitions. Chronobiol Int. 2023;40(2):186-191. PubMed PMID: 36594375.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Sample size bias in the empirical assessment of the acute risks associated with daylight saving time transitions. AU - Martín-Olalla,José María, AU - Mira,Jorge, Y1 - 2023/01/03/ PY - 2023/5/3/medline PY - 2023/1/4/pubmed PY - 2023/1/3/entrez KW - DST KW - circadian misalignment KW - latitude KW - motor vehicle accidents KW - myocardial infarction KW - season KW - sleep deprivation KW - spring transition KW - summer time KW - trauma admissions SP - 186 EP - 191 JF - Chronobiology international JO - Chronobiol Int VL - 40 IS - 2 N2 - The assessment of the acute impact of daylight saving time (DST) transitions is a question of great interest for an understanding of the benefits and inconveniences of a practice that is now under public scrutiny in Europe and America. Here, we report a thorough analysis of a record of 13 well-known research studies that reported increased risks associated with DST transitions in health issues - acute myocardial infarction, ischemic strokes and trauma admissions - and in societal issues - accidents, traffic accidents and fatal motor vehicle accidents. We found that a five percent increase of the risks suffices to understand the reported increased risks associated with the spring transition. Reported values above this threshold are impacted by the sample size of the study. In the case of the autumn transition, no increase in the risks is found. SN - 1525-6073 UR - https://www.unboundmedicine.com/medline/citation/36594375/Sample_size_bias_in_the_empirical_assessment_of_the_acute_risks_associated_with_daylight_saving_time_transitions_ DB - PRIME DP - Unbound Medicine ER -