The Association between Sleep Patterns, Educational Identity, and School Performance in Adolescents

Bacaro, Valeria; Andreose, Alice; Grimaldi, Martina; Natale, Vincenzo; Tonetti, Lorenzo; Crocetti, Elisabetta

doi:10.3390/brainsci13020178

Cited by 3 publications

(1 citation statement)

References 38 publications

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“…Beyond academic marks, mood disorders, risk-taking behaviors, and drowsy-driving accidents increase with poor sleep [34]. Apart from behavioral effects, studies point to detrimental neurological and cognitive outcomes tied to chronic sleep restriction and irregular sleep patterns resulting from evening blue light exposure in adolescent students [35]. Magnetic resonance imaging scans have revealed reduced cortical thickness and volumes in frontal lobes essential to attention, memory, and complex processing after just a few nights of curtailed sleep [36].…”

Section: Impacts On Sleep Quality and Durationmentioning

confidence: 99%

Impacts of Blue Light Exposure From Electronic Devices on Circadian Rhythm and Sleep Disruption in Adolescent and Young Adult Students

Alam,

Abbas,

Sharf

et al. 2024

Chronobiol Med

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The excessive exposure of blue light, originated from electronic gadgets like smartphones, laptops, and tablets, may contribute to sleep problems. Long exposure to blue-wavelength light from these devices affects sleep by suppressing melatonin hormone and cause neurophysiologic consequences. This literature review highlights the most recent findings on the relationship between sleep disruption and blue light exposure among the high school and college student population. A variety of scientific studies have shown that blue light exposure, especially before bedtime, can create circadian disruptions and inhibit melatonin secretion in brain, which ultimately result in deteriorated sleep quality and duration. Sleep deprivation in duration and quality of sleep is reflected in negative effects on mood, learning memory, and academic performance of a student from middle school to college. In general, the accumulating evidence indicates that, to promote adolescent and young adult health, it is necessary to pay attention to the impacts of blue light exposure from modern technologies.

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Section: Impacts On Sleep Quality and Durationmentioning

confidence: 99%

Impacts of Blue Light Exposure From Electronic Devices on Circadian Rhythm and Sleep Disruption in Adolescent and Young Adult Students

Alam,

Abbas,

Sharf

et al. 2024

Chronobiol Med

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What’s Your Vocation? A Meta-Analysis of Interventions Tackling Youth Educational and Professional Identity

Crocetti,

De Lise,

Pagano

et al. 2024

Identity

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Actigraphic sleep dimensions and associations with academic functioning among adolescents

Mathew,

Reichenberger,

Master

et al. 2024

Sleep

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Study Objectives There is mixed evidence regarding associations of sleep duration with academic functioning in adolescents and a lack of research on other sleep dimensions, particularly using objective sleep measures. We examined associations of multiple actigraphic sleep dimensions with academic functioning among adolescents. Methods Data were from the sleep sub-study of the age 15 wave of the Future of Families and Child Wellbeing Study (n=774–782), a national, diverse sample of teens. Adolescents wore wrist-actigraphs for ~1 week and completed a survey reporting grades and school-related problems. Regression models assessed whether average sleep duration, timing, maintenance efficiency, and SD-variability were associated with self-reported academic functioning in cross-sectional analyses adjusted for demographic characteristics, depressive symptoms, and anxious symptoms. Results Later sleep timing (hrs) and greater sleep variability (SD-hrs) were associated with poorer academic outcomes, including sleep onset variability with higher odds of receiving a D or lower (OR=1.29), sleep onset (β=−.07), sleep offset (β=−.08), and sleep duration variability (β=−.08) with fewer A grades, sleep offset with lower GPA (β=−.07), sleep offset (OR=1.11), sleep duration variability (OR=1.31), and sleep onset variability (OR=1.42) with higher odds of being suspended or expelled in the past two years, and sleep duration variability with greater trouble at school (β=.13). Sleep duration, sleep maintenance efficiency, and sleep regularity index were not associated with academic functioning. Conclusion Later sleep timing and greater sleep variability are risk factors for certain academic problems among adolescents. Promoting sufficient, regular sleep timing across the week may improve adolescent academic functioning.

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The Association between Sleep Patterns, Educational Identity, and School Performance in Adolescents

Cited by 3 publications

References 38 publications

Impacts of Blue Light Exposure From Electronic Devices on Circadian Rhythm and Sleep Disruption in Adolescent and Young Adult Students

Impacts of Blue Light Exposure From Electronic Devices on Circadian Rhythm and Sleep Disruption in Adolescent and Young Adult Students

What’s Your Vocation? A Meta-Analysis of Interventions Tackling Youth Educational and Professional Identity

Actigraphic sleep dimensions and associations with academic functioning among adolescents

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