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对患有重度抑郁症及有患重度抑郁症风险的青少年的情绪节律特征进行自我报告和基于活动监测的聚类分析。

Self-reported and actimetry-based cluster analysis of mood rhythmicity profiles in adolescents with and at risk for Major Depressive Disorder.

作者信息

Amando Guilherme, Xavier Nicóli B, Boff Borges Rogério, Silva Silveira da Mota Manuela, Pereira Rivka, Manfro Pedro Henrique, Rohrsetzer Fernanda, Piccin Jader, Souza Laila, Nexha Adile, Comiran Tonon André, Kieling Christian, Hidalgo Maria Paz L

机构信息

Laboratório de Cronobiologia e Sono, Hospital de Clínicas de Porto Alegre (HCPA), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.

Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.

出版信息

Chronobiol Int. 2025 May 5:1-13. doi: 10.1080/07420528.2025.2496345.

Abstract

Greater self-perceived rhythmicity of mood-related symptoms and behaviors has been associated with depressive symptoms in the general public. We aimed to evaluate differences in adolescents at risk for or with a diagnosis of major depressive disorder (MDD) regarding perception of symptom rhythmicity and actimetry parameters. In this cross-sectional study, 96 adolescents were stratified into three groups based on either a diagnosis of MDD or on a composite score for the risk of developing depression: MDD, high risk (HR), and low risk (LR). Participants completed questionnaires regarding depressive symptoms (Mood and Feelings Questionnaire for adolescents) and self-perceived mood rhythmicity (Mood Rhythm Instrument for Youth - MRhI-Y). Actimetry data were collected for 10 continuous days and Non-Parametric Circadian Rhythm Analyses were performed. The MDD group reported higher MRhI-Y total scores, particularly in affective symptoms compared to both other groups. In spite of actimetry variables that did not correlate with MRhI-Y total scores, cluster analysis using MRhI-Y and actimetry revealed three distinct profiles corresponding to all groups. Identifying rhythmicity in mood-related behaviors in adolescents may help distinguish different groups at-risk for MDD and in a current depressive episode. Understanding these patterns could inform early interventions, potentially preventing the onset of the disorder in susceptible individuals.

摘要

在普通人群中,更高的自我感知情绪相关症状和行为的节律性与抑郁症状有关。我们旨在评估有重度抑郁症(MDD)风险或已被诊断为MDD的青少年在症状节律性感知和活动监测参数方面的差异。在这项横断面研究中,96名青少年根据MDD诊断或患抑郁症风险的综合评分被分为三组:MDD组、高风险(HR)组和低风险(LR)组。参与者完成了关于抑郁症状(青少年情绪和情感问卷)和自我感知情绪节律性(青少年情绪节律量表 - MRhI - Y)的问卷。连续10天收集活动监测数据,并进行非参数昼夜节律分析。与其他两组相比,MDD组报告的MRhI - Y总分更高,尤其是在情感症状方面。尽管活动监测变量与MRhI - Y总分无关,但使用MRhI - Y和活动监测进行的聚类分析揭示了与所有组相对应的三种不同特征。识别青少年情绪相关行为的节律性可能有助于区分MDD的不同风险组以及当前处于抑郁发作的个体。了解这些模式可为早期干预提供依据,有可能预防易感个体中该疾病的发作。

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