Sleep Patterns and Mental Health Correlates in US Adolescents

Zhang, Jihui; Paksarian, Diana; Lamers, Femke; Hickie, Ian B.; He, Jie; Merikangas, Kathleen R.

doi:10.1016/j.jpeds.2016.11.007

Cited by 216 publications

(158 citation statements)

References 53 publications

(57 reference statements)

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“…Further, we could not examine the impact of habitual patterns of daytime activity or entrained routines. As there is emerging evidence that these issues influence findings in ecological momentary assessment research , they will need careful consideration in the future. Likewise, screening for OSA relied on a questionnaire rather than more sophisticated methods .…”

Section: Discussionmentioning

confidence: 99%

Which actigraphic variables optimally characterize the sleep‐wake cycle of individuals with bipolar disorders?

Krane-Gartiser

Scott

Nevoret

et al. 2019

Acta Psychiatr Scand

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Which actigraphic variables optimally characterize the sleep-wake cycle of individuals with bipolar disorders?Objective: To examine which combination of objectively measured actigraphy parameters best characterizes the sleep-wake cycle of euthymic individuals with bipolar disorder (BD) compared with healthy controls (HC). Methods: Sixty-one BD cases and 61 matched HC undertook 21 consecutive days of actigraphy. Groups were compared using discriminant function analyses (DFA) that explored dimensions derived from mean values of sleep parameters (Model 1); variability of sleep parameters (2); daytime activity (3); and combined sleep and activity parameters (4). Exploratory within-group analyses examined characteristics associated with misclassification. Results: After controlling for depressive symptoms, the combined model (4) correctly classified 75% cases, while the sleep models (1 and 2) correctly classified 87% controls. The area under the curve favored the combined model (0.86). Age was significantly associated with misclassification among HC, while a diagnosis of BD-II was associated with an increased risk of misclassifications of cases. Conclusion: Including sleep variability and activity parameters alongside measures of sleep quantity improves the characterization of cases of euthymic BD and helps distinguish them from HC. If replicated, the findings indicate that traditional approaches to actigraphy (examining mean values for the standard set of sleep parameters) may represent a suboptimal approach to understanding sleep-wake cycles in BD.• This clinical study of a matched case-control sample demonstrated that dimensional approaches to analysis of actigraphy parameters may help to characterize the sleep-wake cycle of individuals with bipolar disorder and more reliably differentiate them from healthy controls (compared to traditional approaches).

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Section: Discussionmentioning

confidence: 99%

Which actigraphic variables optimally characterize the sleep‐wake cycle of individuals with bipolar disorders?

Krane-Gartiser

Scott

Nevoret

et al. 2019

Acta Psychiatr Scand

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“…In healthy youths, short weekday sleep duration was associated with increased odds of mood, anxiety, substance use, and behavioral disorders. 102 Both poor sleep quantity and quality (ie, insomnia) are associated with worse mental health. For instance, short sleep durations are known to be a significant predictor of developing depression during adulthood 103 and subjects with insomnia are almost 10 or 17 times more likely to develop a depressive disorder or an anxiety disorder than good sleepers.…”

Section: The Reciprocal Relationship Between Sleep and Neuropsychiatrmentioning

confidence: 99%

<p>Healthy Eating, Physical Activity, and Sleep Hygiene (HEPAS) as the Winning Triad for Sustaining Physical and Mental Health in Patients at Risk for or with Neuropsychiatric Disorders: Considerations for Clinical Practice</p>

Briguglio¹,

Vitale²,

Galentino³

et al. 2020

NDT

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Neuropsychiatric disorders stem from gene-environment interaction and their development can be, at least in some cases, prevented by the adoption of healthy and protective lifestyles. Once full blown, neuropsychiatric disorders are prevalent conditions that patients live with a great burden of disability. Indeed, the determinants that increase the affliction of neuropsychiatric disorders are various, with unhealthy lifestyles providing a significant contribution in the interplay between genetic, epigenetic, and environmental factors that ultimately represent the pathophysiological basis of these impairing conditions. On one hand, the adoption of Healthy Eating education, Physical Activity programs, and Sleep hygiene promotion (HEPAS) has the potential to become one of the most suitable interventions to reduce the risk to develop neuropsychiatric disorders, while, on the other hand, its integration with pharmacological and psychological therapies seems to be essential in the overall management of neuropsychiatric disorders in order to reduce the disability and improve the quality of life of affected patients. We present an overview of the current evidence in relation to HEPAS components in the prevention and management of neuropsychiatric disorders and provide suggestions for clinical practice.

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“…Delaying weekend bedtimes and oversleeping on weekend mornings has been associated with poor academic performance, mood problems, and obesity in adolescents in the general population [16], and variability in sleep timing has implications for diabetes management. In a recent study of adolescents with T1D, inconsistent sleep patterns, measured with actigraphy, were associated with poorer glycemic control (higher HbA1c and average blood glucose (BG) levels) and diabetes management (less frequent BG monitoring) [17].…”

Section: Sleep Patterns and Disturbances In T1dmentioning

confidence: 99%

Sleep in Type 1 Diabetes: Implications for Glycemic Control and Diabetes Management

et al. 2018

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Purpose of Review To highlight recent findings from studies of sleep in type 1 diabetes (T1D), with a focus on the role of sleep in self-management, the cognitive and psychosocial outcomes related to sleep disturbances, and factors associated with sleep disturbances specific to T1D. Recent Findings People with T1D experience higher rates of sleep disturbances than people without diabetes, and these disturbances have negative implications for glycemic control and diabetes management, as well as psychosocial and cognitive outcomes. Inconsistent sleep timing (bedtime and wake time) has emerged as a potential target for interventions, as inconsistent sleep has been linked with poorer glycemic control and adherence to treatment. Sleep-promoting interventions and new diabetes technology have the potential to improve sleep in people with T1D. Summary Sleep is increasingly considered a critical factor in diabetes management, but more multi-method and longitudinal research is needed. We emphasize the importance of sufficient and consistent sleep for people with T1D, and the need for providers to routinely assess sleep among patients with T1D.

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Sleep Patterns and Mental Health Correlates in US Adolescents

Cited by 216 publications

References 53 publications

Which actigraphic variables optimally characterize the sleep‐wake cycle of individuals with bipolar disorders?

Which actigraphic variables optimally characterize the sleep‐wake cycle of individuals with bipolar disorders?

<p>Healthy Eating, Physical Activity, and Sleep Hygiene (HEPAS) as the Winning Triad for Sustaining Physical and Mental Health in Patients at Risk for or with Neuropsychiatric Disorders: Considerations for Clinical Practice</p>

Sleep in Type 1 Diabetes: Implications for Glycemic Control and Diabetes Management

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