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Daylight Saving Time transitions and Cardiovascular Disease in Andalusia: Time Series Modeling and Analysis Using Visibility Graphs

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Author
Rodríguez-Cortés, Francisco José
Jiménez-Hornero, Jorge E.
Alcalá Díaz, Juan Francisco
Jiménez-Hornero, Francisco José
Romero-Cabrera, Juan Luis
Cappadona, Rosaria
Manfredini, Roberto
López Soto, Pablo Jesús
Publisher
Sage
Date
2022
Subject
Major acute cardiovascular events
Acute coronary syndromes
Cerebrovascular disease
Daylight Saving Time
Time series analysis
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Abstract
The present study aimed to determine whether transitions both to and from daylight saving time (DST) led to an increase in the incidence of hospital admissions for major acute cardiovascular events (MACE). To support the analysis, natural visibility graphs (NVGs) were used with data from Andalusian public hospitals between 2009 and 2019. We calculated the incidence rates of hospital admissions for MACE, and specifically acute myocardial infarction and ischemic stroke during the 2 weeks leading up to, and 2 weeks after, the DST transition. NVG were applied to identify dynamic patterns. The study included 157 221 patients diagnosed with MACE, 71 992 with AMI (42 975 ST-elevation myocardial infarction (STEMI) and 26 752 non-ST-elevation myocardial infarction (NSTEMI)), and 51 420 with ischemic stroke. Observed/expected ratios shown an increased risk of AMI (1.06; 95% CI (1.00–1.11); P = .044), NSTEMI (1.12; 95% CI (1.02–1.22); P = .013), and acute coronary syndrome (1.05; 95% CI (1.00–1.10); P = .04) around the autumn DST. The NVG showed slight variations in the daily pattern of pre-DST and post-DST hospitalization admissions for all pathologies, but indicated that the increase in the incidence of hospital admissions after the DST is not sufficient to change the normal pattern significantly.
URI
http://hdl.handle.net/10396/27624
Fuente
Rodríguez-Cortés, F. J., Jiménez-Hornero, J. E., Alcalá‐Díaz, J. F., Jiménez‐Hornero, F. J., Romero-Cabrera, J. L., Cappadona, R., Manfredini, R., & López‐Soto, P. J. (2022). Daylight Saving Time transitions and Cardiovascular Disease in Andalusia: Time Series Modeling and Analysis Using Visibility Graphs. Angiology, 74(9), 868-875. https://doi.org/10.1177/00033197221124779
Versión del Editor
https://doi.org/10.1177/00033197221124779
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