Adolescent Sleep as a Transdiagnostic Factor: Associations Between Actigraphy-Derived Night-to-Night Sleep Metrics and Adolescent Psychopathology

Eric M. Phillips MA , Emily L. Goldberg MA , Rebecca L. Brock PhD , Emily R. Hamburger MA, MEd , Jennifer Mize Nelson PhD , W. Alex Mason PhD , Kimberly Andrews Espy PhD , Timothy D. Nelson PhD
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Abstract

Objective

This study examined associations between actigraphy-derived sleep metrics (ie, intraindividual sleep variability, average sleep duration, bedtime, and waketime) and psychopathology to discern their roles as potential transdiagnostic factors related to psychiatric problems during adolescence.

Method

In a sample of 238 adolescents (aged 14-18 years; 0.4% Asian American, 4.0% Black, 22.0% Multiracial, and 73.5% White; 53.4% female) oversampled for socioeconomic risk, we used a bifactor s-1 model of psychopathology, with emotion dysregulation as the reference indicator, to model the general factor of dysregulation and psychopathology (GF-DP) as well as specific internalizing and externalizing factors. We used multilevel structural equation modeling with the Markov chain Monte Carlo procedure to model latent means and intraindividual variability in nightly sleep duration, bedtime, and waketime over 14 nights, and to test whether they had general or specific associations with psychopathology. Furthermore, we examined whether sociodemographic variables moderated the associations between psychopathology and the various sleep metrics.

Results

Results indicated a significant positive association between the GF-DP and intraindividual variability in sleep duration (β = 0.18, 95% CI = 0.013, 0.335). This association was consistent across multiple demographic characteristics, highlighting its broad relevance. The study did not find significant associations with specific internalizing or externalizing problems or other sleep metrics.

Conclusion

Findings emphasize intraindividual variability in sleep duration as a key transdiagnostic factor in adolescent psychopathology. Targeting sleep variability could lead to more effective interventions, potentially reducing the prevalence of a broad spectrum of psychiatric disorders. Future research using diverse samples and longitudinal designs is warranted to build on these insights.

Plain language summary

In this study of 238 adolescents between the ages of 14 to 18, night-to-night sleep was measured using actigraphy watches and related to parent- and adolescent-rated mental health problems. Greater inconsistency in the amount of time an adolescent slept each night was related to greater emotion dysregulation and mental health problems, including internalizing (ie, depression, anxiety, somatic problems) and externalizing (ie, oppositionality, conduct problems, hyperactivity, and inattention) problems. The average amount of sleep time and bedtime and waketime were not significantly related to adolescents’ mental health problems.

Clinical guidance

• Clinicians should assess for consistency of adolescent sleep in addition to the amount of time an adolescent is sleeping. Sleep inconsistency may be more relevant to adolescents’ mental health problems than total sleep time.
• Interventions aimed at improving the consistency of young people’s sleep, such as the Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C), may be beneficial in reducing diverse forms of mental health problems (eg, depression, anxiety, attention problems, oppositionality, and conduct problems).
• Improving consistency of sleep may be particularly beneficial for adolescents with comorbid mental health problems.
作为跨诊断因素的青少年睡眠:动觉仪得出的夜间睡眠指标与青少年心理病理学之间的关系
目的:本研究考察了活动图衍生的睡眠指标(即个体睡眠变异性、平均睡眠时间、就寝时间和清醒时间)与精神病理学之间的关系,以识别它们作为与青少年精神问题相关的潜在跨诊断因素的作用。方法以238名青少年(14-18岁,亚裔美国人0.4%,黑人4.0%,多种族22.0%,白人73.5%,女性53.4%)为社会经济风险样本,采用以情绪失调为参考指标的双因素s-1精神病理学模型,对心理失调和精神病理的一般因素(GF-DP)以及特定的内化和外化因素进行建模。我们使用多层结构方程模型和马尔可夫链蒙特卡罗程序来模拟14个晚上夜间睡眠时间、就寝时间和清醒时间的潜在均值和个体内部变异性,并测试它们是否与精神病理有一般或特定的关联。此外,我们研究了社会人口学变量是否调节了精神病理和各种睡眠指标之间的关联。结果表明,GF-DP与睡眠时间的个体变异之间存在显著正相关(β = 0.18, 95% CI = 0.013, 0.335)。这种关联在多种人口特征中是一致的,突出了其广泛的相关性。该研究没有发现具体的内化或外化问题或其他睡眠指标有显著关联。结论:研究结果强调睡眠时间的个体差异是青少年精神病理的一个关键的跨诊断因素。针对睡眠变异性可能导致更有效的干预,潜在地减少广泛的精神疾病的患病率。未来的研究使用不同的样本和纵向设计是有必要建立在这些见解。在这项针对238名年龄在14岁到18岁之间的青少年的研究中,研究人员使用活动记录仪来测量每晚的睡眠情况,并将其与父母和青少年评估的心理健康问题联系起来。青少年每晚睡眠时间的不一致与更严重的情绪失调和心理健康问题有关,包括内化(如抑郁、焦虑、躯体问题)和外化(如对立、行为问题、多动和注意力不集中)问题。平均睡眠时间和就寝时间与青少年心理健康问题无显著相关。临床指导•临床医生除了评估青少年的睡眠时间外,还应评估青少年睡眠的一致性。与总睡眠时间相比,睡眠不一致可能与青少年的心理健康问题更相关。•旨在改善年轻人睡眠一致性的干预措施,如睡眠和昼夜节律障碍跨诊断干预(TranS-C),可能有助于减少各种形式的心理健康问题(例如,抑郁、焦虑、注意力问题、对立和行为问题)。•改善睡眠的一致性可能对患有精神健康问题的青少年特别有益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JAACAP open
JAACAP open Psychiatry and Mental Health
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