Clinical prediction models in psychiatry: a systematic review of two decades of progress and challenges
Recent years have seen the rapid proliferation of clinical prediction models aiming to
support risk stratification and individualized care within psychiatry. Despite growing interest …
support risk stratification and individualized care within psychiatry. Despite growing interest …
Implementing precision psychiatry: a systematic review of individualized prediction models for clinical practice
G Salazar de Pablo, E Studerus… - Schizophrenia …, 2021 - academic.oup.com
Background The impact of precision psychiatry for clinical practice has not been
systematically appraised. This study aims to provide a comprehensive review of validated …
systematically appraised. This study aims to provide a comprehensive review of validated …
Prediction of major depressive disorder onset in college students
Background Major depressive disorder (MDD) in college students is associated with
substantial burden. Aims To assess 1‐year incidence of MDD among incoming freshmen …
substantial burden. Aims To assess 1‐year incidence of MDD among incoming freshmen …
Effectiveness of online psychological and psychoeducational interventions to prevent depression: Systematic review and meta-analysis of randomized controlled trials
Although evidence exists for the efficacy of interventions to prevent depression, little is
known about its prevention through online interventions. We aim to assess the effectiveness …
known about its prevention through online interventions. We aim to assess the effectiveness …
A shared framework for the common mental disorders and non-communicable disease: key considerations for disease prevention and control
Background Historically, the focus of Non Communicable Disease (NCD) prevention and
control has been cardiovascular disease (CVD), type 2 diabetes mellitus (T2DM), cancer …
control has been cardiovascular disease (CVD), type 2 diabetes mellitus (T2DM), cancer …
Effectiveness of exercise-based interventions in reducing depressive symptoms in people without clinical depression: systematic review and meta-analysis of …
JA Bellon, S Conejo-Ceron… - The British Journal of …, 2021 - cambridge.org
BackgroundIn most trials and systematic reviews that evaluate exercise-based interventions
in reducing depressive symptoms, it is difficult to separate treatment from prevention. AimsTo …
in reducing depressive symptoms, it is difficult to separate treatment from prevention. AimsTo …
Psychometric properties of the List of Threatening Experiences—LTE and its association with psychosocial factors and mental disorders according to different scoring …
E Motrico, B Moreno-Küstner, J de Dios Luna… - Journal of affective …, 2013 - Elsevier
Abstract Background The List of Threatening Experiences (LTE) questionnaire is frequently
used to assess stressful events; however, studies of its psychometric properties are scarce …
used to assess stressful events; however, studies of its psychometric properties are scarce …
Utility of PHQ-2, PHQ-8 and PHQ-9 for detecting major depression in primary health care: a validation study in Spain
I Gómez-Gómez, I Benítez, J Bellón… - Psychological …, 2023 - cambridge.org
BackgroundPrimary health care (PHC) professionals may play a crucial role in improving
early diagnosis of depressive disorders. However, only 50% of cases are detected in PHC …
early diagnosis of depressive disorders. However, only 50% of cases are detected in PHC …
Effectiveness of psychological and/or educational interventions to prevent the onset of episodes of depression: A systematic review of systematic reviews and meta …
JÁ Bellón, P Moreno-Peral, E Motrico… - Preventive …, 2015 - Elsevier
Objective To determine the effectiveness of psychological and/or educational interventions
to prevent the onset of episodes of depression. Methods Systematic review of systematic …
to prevent the onset of episodes of depression. Methods Systematic review of systematic …
Predicting adolescent depression and anxiety from multi-wave longitudinal data using machine learning
BackgroundThis study leveraged machine learning to evaluate the contribution of
information from multiple developmental stages to prospective prediction of depression and …
information from multiple developmental stages to prospective prediction of depression and …