Sleep patterns among preschool offspring of parents with and without psychopathology: Association with the development of psychopathology in childhood

Author:

Levenson Jessica C.12ORCID,Joseph Heather M.12,Merranko John3,Hafeman Danella M.1ORCID,Monk Kelly3,Goldstein Benjamin I.4,Axelson David5ORCID,Sakolsky Dara1,Diler Rasim S.1ORCID,Goldstein Tina16ORCID,Birmaher Boris1ORCID

Affiliation:

1. Department of Psychiatry University of Pittsburgh School of Medicine Pittsburgh Pennsylvania USA

2. Department of Pediatrics University of Pittsburgh School of Medicine Pittsburgh Pennsylvania USA

3. Western Psychiatric Hospital, UPMC Pittsburgh Pennsylvania USA

4. Center for Addiction and Mental Health University of Toronto Faculty of Medicine Toronto Ontario Canada

5. Department of Psychiatry and Behavioral Health Nationwide Children's Hospital and The Ohio State College of Medicine Columbus Ohio USA

6. Department of Psychology University of Pittsburgh Dietrich School of Arts and Sciences Pittsburgh Pennsylvania USA

Abstract

AbstractBackgroundDisturbed sleep during early childhood predicts social–emotional problems. However, it is not known how various early childhood sleep phenotypes are associated with the development of childhood psychopathology, nor whether these relationships vary as a function of parental psychopathology. We identified sleep phenotypes among preschool youth; examined whether these phenotypes were associated with child and parent factors; and determined if early sleep phenotypes predicted later childhood psychopathology.MethodsUsing data from the Pittsburgh Bipolar Offspring study, parents with bipolar disorder (BD), non‐BD psychopathology, and healthy controls reported about themselves and their offspring (n = 218) when their children were ages 2–5. Offspring and parents were interviewed directly approximately every 2 years from ages 6–18. Latent class analysis (LCA) identified latent sleep classes; we compared these classes on offspring demographics, parental sleep variables, and parental diagnoses. Kaplan–Meier survival models estimated hazard of developing any new‐onset Axis‐I disorders, as well as BD specifically, for each class.ResultsThe optimal LCA solution featured four sleep classes, which we characterized as (1) good sleep, (2) wake after sleep onset problems, (3) bedtime problems (e.g., trouble falling asleep, resists going to bed), and (4) poor sleep generally. Good sleepers tended to have significantly less parental psychopathology than the other three classes. Risk of developing new‐onset Axis‐I disorders was highest among the poor sleep class and lowest among the good sleep class.ConclusionsPreschool sleep phenotypes are an important predictor of the development of psychopathology. Future work is needed to understand the biopsychosocial processes underlying these trajectories.

Publisher

Wiley

Subject

Biological Psychiatry,Psychiatry and Mental health

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3