Adverse Effects of Daylight Saving Time on Adolescents' Sleep and Vigilance

Medina, Diana Carolina López; Ebben, Matthew R.; Milrad, Sara F.; Atkinson, Brianna; Krieger, Ana C.

doi:10.5664/jcsm.4938

Cited by 30 publications

(30 citation statements)

References 34 publications

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“…The data presented for this manuscript represent daily diary assessments and sleep actigraphy data for a total of 294 reports. A sample size of 42 and a total number of ∼300 reports for this type of analysis is comparable to many published studies using daily actigraphy data and/or daily diaries of alcohol use among adolescents/young adults (e.g., (Geoghegan et al, 2012; Gerber et al, 2014; Medina, Ebben, Milrad, Atkinson, & Krieger, 2015; Pearson, D'Lima, & Kelley, 2013; Witkowski et al, 2015)).…”

Section: Methodsmentioning

confidence: 63%

Reciprocal variations in sleep and drinking over time among heavy-drinking young adults.

Fucito¹,

Bold²,

Reen³

et al. 2018

Journal of Abnormal Psychology

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Prior studies have established an association between sleep problems during early adolescence and heavy alcohol use/alcohol use disorder (AUD) risk in late adolescence. Less research has explored the association between sleep problems and heavy alcohol use during young adulthood, the period when AUD onset peaks. Moreover, research to date has primarily utilized cross-sectional, between-subjects' methods to examine this relationship, with limited focus on the potential intraindividual variation in these behaviors. Multilevel modeling techniques are well-suited to examine the variability in sleep problems and risky alcohol use over time and the dynamic bidirectional relations among these behaviors. This article reports on 42 heavy-drinking college students at-risk for an AUD based on their responses to a validated alcohol screener who completed daily diaries of sleep and alcohol use and wore a sleep-wake activity monitor (i.e., Philips Respironics Actiwatch 2™) daily for 7 days yielding a total of 294 reports. Hierarchical linear models demonstrated that days of heavy drinking predicted delayed bed and wake times within individuals and those individuals who tended to drink more heavily on average had shorter sleep durations. Conversely, days of shorter sleep duration, earlier wake times, and greater perceived sleep quality upon waking predicted greater alcohol use within individuals, and those who tended to feel more alert upon waking drank more on average. These results highlight important within- and between-person variability in the associations among objective and subjective sleep-related problems and at-risk drinking among young adults. Further, the results have implications for alcohol prevention/intervention strategies for young adults at risk for AUDs. (PsycINFO Database Record

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Section: Methodsmentioning

confidence: 63%

Reciprocal variations in sleep and drinking over time among heavy-drinking young adults.

Fucito¹,

Bold²,

Reen³

et al. 2018

Journal of Abnormal Psychology

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“…Another explanation is that in Brazil, the daylight-saving time during Summer is only adopted in some regions (South, Southeast and Central). Studies have shown that removing one hour in daylight time may be harmful to sleep 35,36 .…”

Section: Discussionmentioning

confidence: 99%

Sleep disturbances and daytime fatigue: data from the Brazilian National Health Survey, 2013

et al. 2019

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This study aims to describe the prevalence of sleep disturbances and daytime fatigue and their association with socio-demographic and behavioral factors. Data from the Brazilian National Health Survey conducted in 2013 with 60,202 adults (≥ 18 years old) were used. The outcomes evaluated were self-reported sleep disturbances and daytime fatigue in the last two weeks. Sleep disturbance was defined as the presence of difficulty to fall asleep, frequently waking up during the night or sleeping more than usual; daytime fatigue was defined as the presence of not feeling rested and motivated during the day, feeling tired and lacking energy. Sociodemographic, lifestyle and chronic health aspects were explored as exposures for both outcomes. Prevalence of sleep disturbances and daytime fatigue were 14.9% (14.4-15.4) and 11.9% (11.4-12.3), respectively. Both outcomes were more common in women, older people, people with no formal education, smokers and among physically inactive individuals. The association with education was inverse (the highest the level of education the lower the prevalence ratio - PR - of sleep disturbances and daytime fatigue; adjusted p-value for trend < 0.001). Prevalence of sleep disturbances combined with daytime fatigue was 6.7% (6.4-7.1) and was about 6 times higher among those with three or more chronic health disturbances (PR = 6.2; 95%CI: 5.3-7.2). Strategies to decrease the prevalence of sleep disturbances and daytime fatigue should be encouraged and focused on chronically ill individuals that share other modifiable risk factors.

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“…Clock timing based on Coordinated Universal Time (UTC) can vary from this circadian system by an hour or more because of time zones, daylight savings time (DST), traveling to another time zone and other factors. These UTC time variations from environmental cues must be eliminated when determining optimal timings, for example daylight saving time (Medina et al, 2015 ).…”

Section: Method: Neuroscience-based Theoretical Modelmentioning

confidence: 99%

Identifying the Best Times for Cognitive Functioning Using New Methods: Matching University Times to Undergraduate Chronotypes

Evans

Kelley

2017

Front. Hum. Neurosci.

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University days generally start at fixed times in the morning, often early morning, without regard to optimal functioning times for students with different chronotypes. Research has shown that later starting times are crucial to high school students' sleep, health, and performance. Shifting the focus to university, this study used two new approaches to determine ranges of start times that optimize cognitive functioning for undergraduates. The first is a survey-based, empirical model (SM), and the second a neuroscience-based, theoretical model (NM). The SM focused on students' self-reported chronotype and times they feel at their best. Using this approach, data from 190 mostly first and second year university students were collected and analyzed to determine optimal times when cognitive performance can be expected to be at its peak. The NM synthesized research in sleep, circadian neuroscience, sleep deprivation's impact on cognition, and practical considerations to create a generalized solution to determine the best learning hours. Strikingly the SM and NM results align with each other and confirm other recent research in indicating later start times. They add several important points: (1) They extend our understanding by showing that much later starting times (after 11 a.m. or 12 noon) are optimal; (2) Every single start time disadvantages one or more chronotypes; and (3) The best practical model may involve three alternative starting times with one afternoon shared session. The implications are briefly considered.

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Adverse Effects of Daylight Saving Time on Adolescents' Sleep and Vigilance

Cited by 30 publications

References 34 publications

Reciprocal variations in sleep and drinking over time among heavy-drinking young adults.

Reciprocal variations in sleep and drinking over time among heavy-drinking young adults.

Sleep disturbances and daytime fatigue: data from the Brazilian National Health Survey, 2013

Identifying the Best Times for Cognitive Functioning Using New Methods: Matching University Times to Undergraduate Chronotypes

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