First-person pronouns as linguistic markers of depression among Brazilian youths.

Objective: Major depressive disorder (MDD) is a leading cause of disability among youth, yet identifying this condition remains challenging. Naturalistic communication offers a promising approach to enhance depression detection. Increased use of first-person singular pronouns (e.

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

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).

Predicting the incidence of depression in adolescence using a sociodemographic risk score: prospective follow-up of the IDEA-RiSCo study.

Background: Adolescence constitutes a critical window for preventing depression, but efforts have mostly targeted single risk factors. The Identifying Depression Early in Adolescence Risk Score (IDEA-RS) integrates easily obtainable sociodemographic variables and has been able to predict future depression across diverse populations. However, its performance within a prospective cohort remains untested.

Sex-Specific Alterations of the Kynurenine Pathway in Association With Risk for and Remission of Depression in Adolescence.

Background: The imbalance between neurotoxic and neuroprotective metabolites of the kynurenine pathway has been implicated in the pathophysiology of major depressive disorder (MDD) in adulthood but has not been fully investigated among adolescents. In this study, we tested the association of kynurenine pathway metabolites with risk for and remission of adolescent depression and whether abnormalities in the kynurenine pathway are sex specific.

Methods: Kynurenine pathway metabolites were measured in plasma at baseline in the IDEA-RiSCo (Identifying Depression Early in Adolescence Risk-Stratified Cohort), a longitudinal study of adolescents (15.

Assessing Mood With the Identifying Depression Early in Adolescence Chatbot (IDEABot): Development and Implementation Study.

Background: Mental health status assessment is mostly limited to clinical or research settings, but recent technological advances provide new opportunities for measurement using more ecological approaches. Leveraging apps already in use by individuals on their smartphones, such as chatbots, could be a useful approach to capture subjective reports of mood in the moment.

Objective: This study aimed to describe the development and implementation of the Identifying Depression Early in Adolescence Chatbot (IDEABot), a WhatsApp-based tool designed for collecting intensive longitudinal data on adolescents' mood.

Sleep disturbances, circadian activity, and nocturnal light exposure characterize high risk for and current depression in adolescence.

Study Objectives: Major depressive disorder (MDD) in adolescence is associated with irregularities in circadian rhythms and sleep. The characterization of such impairment may be critical to design effective interventions to prevent development of depression among adolescents. This study aimed to examine self-reported and actimetry-based circadian rhythms and sleep-wake behavior associated with current MDD and high risk (HR) for MDD among adolescents.

The experience of receiving a diagnosis of depression in adolescence: A pilot qualitative study in Brazil.

Receiving a diagnosis of depression can have an important impact on the lives of adolescents. However, there is limited information about how youth tackle, attribute meaning to and understand mental health diagnoses. The aim of this study was to explore adolescents' initial reactions after receiving a clinical diagnosis of Major Depressive Disorder in the context of a neurobiological study of depression in Brazil.

The Identifying Depression Early in Adolescence Risk Stratified Cohort (IDEA-RiSCo): Rationale, Methods, and Baseline Characteristics.

The characterization of adolescents at high risk for developing depression has traditionally relied on the presence or absence of single risk factors. More recently, the use of composite risk scores combining information from multiple variables has gained attention in prognostic research in the field of mental health. We previously developed a sociodemographic composite score to estimate the individual level probability of depression occurrence in adolescence, the Identifying Depression Early in Adolescence Risk Score (IDEA-RS).