ArticleEuropean child & adolescent psychiatry2021
Predicting the risk of depression among adolescents in Nepal using a model developed in Brazil: the IDEA Project.
Article in European child & adolescent psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Psychological and contextual risk factors for first-onset depression among adolescents and young people around the globe: A systematic review and meta-analysis.Early intervention in psychiatry · 2023Pooled it
- Combining self-regulation and poverty reduction to prevent depression and anxiety among adolescents experiencing multi-dimensional poverty in Colombia, Nepal and South Africa: study protocol of a pilot 4-arm cluster randomised controlled trial.Pilot and feasibility studies · 2026Article
- Combining neurobiological markers and a sociodemographic risk score to predict adolescent depression - An IDEA RiSCo prospective cohort study.Molecular psychiatry · 2026Article
- Prospective prediction of first onset of major depressive disorder in midlife using machine learning.Social psychiatry and psychiatric epidemiology · 2025Article
- Longitudinal Prediction of Adolescent Depression from Environmental and Polygenic Risk Scores.medRxiv : the preprint server for health sciences · 2025Article
- Assessing a prediction model for depression risk using an early adolescent sample with self-reported depression.JCPP advances · 2025Article
- Predicting the incidence of depression in adolescence using a sociodemographic risk score: prospective follow-up of the IDEA-RiSCo study.BMJ mental health · 2025Article
- Mental health of university students twenty months after the beginning of the full-scale Russian-Ukrainian war.BMC psychiatry · 2025Article
- Article
- Inflammation and immune system pathways as biological signatures of adolescent depression-the IDEA-RiSCo study.Translational psychiatry · 2024Article
- No prediction without prevention: A global qualitative study of attitudes toward using a prediction tool for risk of developing depression during adolescence.Global mental health (Cambridge, England) · 2024Article
- The Factors of Adolescent Depression in Jiangsu Province, China, from the Perspective of Social Ecosystem: A Case-Control Study.Depression and anxiety · 2023Article
- Detection of risk for future depression among adolescents: Stakeholder views of acceptability and feasibility in the United Kingdom.Early intervention in psychiatry · 2022Article
- Identifying adolescents at risk for depression: Assessment of a global prediction model in the Great Smoky Mountains Study.Journal of psychiatric research · 2022Article
- Exploring the role of immune pathways in the risk and development of depression in adolescence: Research protocol of the IDEA-FLAME study.Brain, behavior, & immunity - health · 2021Article
- Preventive strategies for adolescent depression: What are we missing? A focus on biomarkers.Brain, behavior, & immunity - health · 2021Article
- Prediction models for child and adolescent mental health: A systematic review of methodology and reporting in recent research.JCPP advances · 2021Review
- Development and external validation of a risk calculator to predict internalising symptoms among Ugandan youths affected by HIV.Psychiatry research · 2021Article
- Childhood exposure to ambient air pollution and predicting individual risk of depression onset in UK adolescents.Journal of psychiatric research · 2021Article
- Integrating youth mental health into cash transfer programmes in response to the COVID-19 crisis in low-income and middle-income countries.The lancet. Psychiatry · 2021Article
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Abstract
The burden of adolescent depression is high in low- and middle-income countries (LMICs), yet research into prevention is lacking. Development and validation of models to predict individualized risk of depression among adolescents in LMICs is rare but crucial to ensure appropriate targeting of preventive interventions. We assessed the ability of a model developed in Brazil, a middle-income country, to predict depression in an existing culturally different adolescent cohort from Nepal, a low-income country with a large youth population with high rates of depression. Data were utilized from the longitudinal study of 258 former child soldiers matched with 258 war-affected civilian adolescents in Nepal. Prediction modelling techniques were employed to predict individualized risk of depression at age 18 or older in the Nepali cohort using a penalized logistic regression model. Following a priori exclusions for prior depression and age, 55 child soldiers and 71 war-affected civilians were included in the final analysis. The model was well calibrated, had good overall performance, and achieved good discrimination between depressed and non-depressed individuals with an area under the curve (AUC) of 0.73 (bootstrap-corrected 95% confidence interval 0.62-0.83). The Brazilian model comprising seven matching sociodemographic predictors, was able to stratify individualized risk of depression in a Nepali adolescent cohort. Further testing of the model's performance in larger socio-culturally diverse samples in other geographical regions should be attempted to test the model's wider generalizability.
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