Academic Journal

Sample size bias in the empirical assessment of the acute risks associated with daylight saving time transitions

التفاصيل البيبلوغرافية
العنوان: Sample size bias in the empirical assessment of the acute risks associated with daylight saving time transitions
المؤلفون: Martín Olalla, José María, Mira, Jorge
المساهمون: Universidad de Sevilla. Departamento de Física de la Materia Condensada
بيانات النشر: Taylor & Francis
سنة النشر: 2023
المجموعة: idUS - Deposito de Investigación Universidad de Sevilla
مصطلحات موضوعية: Circadian misalignment, DST, Latitude, Motor vehicle accidents, Myocardial infarction, Season, Sleep deprivation, Spring transition, Summer time, Trauma admissions
الوصف: 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 five 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.
نوع الوثيقة: article in journal/newspaper
اللغة: English
Relation: Chronobiology International, 40 (2), 186-191.; https://doi.org/10.1080/07420528.2022.2157738; https://idus.us.es/handle//11441/141524
الاتاحة: https://idus.us.es/handle//11441/141524
Rights: Attribution-NonCommercial-NoDerivatives 4.0 Internacional ; http://creativecommons.org/licenses/by-nc-nd/4.0/ ; info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.C5EF40BB
قاعدة البيانات: BASE