Lydia Sequeira, Pantea Fadaiefard, Jovana Seat, Madison Aitken, John Strauss, Wei Wang, Peter Szatmari, Marco Battaglia
{"title":"Latent class analysis of actigraphy within the depression early warning (DEW) longitudinal clinical youth cohort.","authors":"Lydia Sequeira, Pantea Fadaiefard, Jovana Seat, Madison Aitken, John Strauss, Wei Wang, Peter Szatmari, Marco Battaglia","doi":"10.1186/s13034-024-00843-8","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Wearable-generated data yield objective information on physical activity and sleep variables, which, are in turn, related to the phenomenology of depression. There is a dearth of wearable-generated data regarding physical activity and sleep variables among youth with clinical depression.</p><p><strong>Methods: </strong>Longitudinal (up to 24 months) quarterly collections of wearable-generated variables among adolescents diagnosed with current/past major depression. Latent class analysis was employed to classify participants on the basis of wearable-generated: Activity, Sleep Duration, and Sleep efficiency. The Patient Health Questionnaire adapted for adolescents (PHQ-9-A), and the Ruminative Response Scale (RRS) at study intake were employed to predict class membership.</p><p><strong>Results: </strong>Seventy-two adolescents (72.5% girls) were recruited over 31 months. Activity, Sleep Duration, and Sleep efficiency were reciprocally correlated, and wearable-generated data were reducible into a finite number (3 to 4) of classes of individuals. A PHQ-A score in the clinical range (14 and above) at study intake predicted a class of low physical activity (Acceleration) and a class of shorter Sleep Duration.</p><p><strong>Limitations: </strong>Limited power related to the sample size and the interim nature of this study.</p><p><strong>Conclusions: </strong>This study of wearable-generated variables among adolescents diagnosed with clinical depression shows that a large amount of longitudinal data is amenable to reduction into a finite number of classes of individuals. Interfacing wearable-generated data with clinical measures can yield insights on the relationships between objective psychobiological measures and symptoms of adolescent depression, and may improve clinical management of depression.</p>","PeriodicalId":9934,"journal":{"name":"Child and Adolescent Psychiatry and Mental Health","volume":"18 1","pages":"149"},"PeriodicalIF":3.4000,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11577627/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Child and Adolescent Psychiatry and Mental Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13034-024-00843-8","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PEDIATRICS","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Wearable-generated data yield objective information on physical activity and sleep variables, which, are in turn, related to the phenomenology of depression. There is a dearth of wearable-generated data regarding physical activity and sleep variables among youth with clinical depression.
Methods: Longitudinal (up to 24 months) quarterly collections of wearable-generated variables among adolescents diagnosed with current/past major depression. Latent class analysis was employed to classify participants on the basis of wearable-generated: Activity, Sleep Duration, and Sleep efficiency. The Patient Health Questionnaire adapted for adolescents (PHQ-9-A), and the Ruminative Response Scale (RRS) at study intake were employed to predict class membership.
Results: Seventy-two adolescents (72.5% girls) were recruited over 31 months. Activity, Sleep Duration, and Sleep efficiency were reciprocally correlated, and wearable-generated data were reducible into a finite number (3 to 4) of classes of individuals. A PHQ-A score in the clinical range (14 and above) at study intake predicted a class of low physical activity (Acceleration) and a class of shorter Sleep Duration.
Limitations: Limited power related to the sample size and the interim nature of this study.
Conclusions: This study of wearable-generated variables among adolescents diagnosed with clinical depression shows that a large amount of longitudinal data is amenable to reduction into a finite number of classes of individuals. Interfacing wearable-generated data with clinical measures can yield insights on the relationships between objective psychobiological measures and symptoms of adolescent depression, and may improve clinical management of depression.
期刊介绍：
Child and Adolescent Psychiatry and Mental Health, the official journal of the International Association for Child and Adolescent Psychiatry and Allied Professions, is an open access, online journal that provides an international platform for rapid and comprehensive scientific communication on child and adolescent mental health across different cultural backgrounds. CAPMH serves as a scientifically rigorous and broadly open forum for both interdisciplinary and cross-cultural exchange of research information, involving psychiatrists, paediatricians, psychologists, neuroscientists, and allied disciplines. The journal focusses on improving the knowledge base for the diagnosis, prognosis and treatment of mental health conditions in children and adolescents, and aims to integrate basic science, clinical research and the practical implementation of research findings. In addition, aspects which are still underrepresented in the traditional journals such as neurobiology and neuropsychology of psychiatric disorders in childhood and adolescence are considered.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
