Introduction Mindfulness-based interventions (MBI) have been growing progressively as treatment options in the field of mental health. Aim: To assess the impact of mindfulness-based interventions for reducing suicidal thoughts and behaviors. Methods A systematic review was performed in December 2020 using PubMed, PsycINFO, EMBASE, SciELO, Pepsic, and LILACS databases with no year restrictions. The search strategy included the terms (‘mindfulness’ OR ‘mindfulness-based’) AND (‘suicide’ OR ‘suicidal’ OR ‘suicide risk’ OR ‘suicide attempt’ OR ‘suicide ideation’ OR ‘suicide behavior’). The protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO), CRD42020219514. Results A total of 14 studies met all inclusion criteria and were included in this review. Most of the studies presented Mindfulness-Based Cognitive Therapy as the MBI assessed (n=10). An emerging and rapidly growing literature on MBI presents promising results in reduction of suicide risk, particularly in patients with MDD. Four studies assessing other MBI treatment protocols (Mindfulness-Based Stress Reduction; Daily Mindfulness Meditation Practice; Mind Body Awareness and Mindfulness-Based Cognitive Behavior Therapy) all demonstrated that MBI reduces factors associated with suicide risk. Conclusion MBI might target specific processes and contribute to suicide risk reduction.

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This study aimed to develop a classification model predicting incident bipolar disorder (BD) cases in young adults within a 5-year interval, using sociodemographic and clinical features from a large cohort study. We analyzed 1,091 individuals without BD, aged 18 to 24 years at baseline, and used the XGBoost algorithm with feature selection and oversampling methods. Forty-nine individuals (4.49%) received a BD diagnosis five years later. The best model had an acceptable performance (test AUC: 0.786, 95% CI: 0.686-0.887) and included ten features: feeling of worthlessness, sadness, current depressive episode, self-reported stress, self-confidence, lifetime cocaine use, socioeconomic status, sex frequency, romantic relationship, and tachylalia. We performed a permutation test with 10,000 permutations that showed the AUC from the built model is significantly better than random classifiers. The results provide insights into BD as a latent phenomenon, as depression is its typical initial manifestation. Future studies could monitor subjects during other developmental stages and investigate risk populations to improve BD characterization. Furthermore, the usage of digital health data, biological, and neuropsychological information and also neuroimaging can help in the rise of new predictive models.

This study seeks to investigate the cumulative incidence and risk factors of suicide attempts in an outpatient sample of adults diagnosed with major depressive disorder (MDD). Materials and Methods: This is a longitudinal study with 377 patients aged between 18 and 60 years. Those were diagnosed with MDD with no history of suicide attempts when they sought care at the Mental Health Outpatient Clinic of the Catholic University of Pelotas and evaluated again 3 years after. Participants were evaluated with the Mini International Neuropsychiatric Interview (MINI Plus) and answered instruments of clinical investigation and a sociodemographic questionnaire. Results: The cumulative incidence of suicide attempts in the sample was 10.1%. Youths aged up to 29 years (OR 2.23; 95% CI 1.13 to 4.64), with low schooling (OR 2.35; 95% CI 1.15 to 4.80), who suffered intense physical abuse during childhood (OR 2.77; 95% CI 1.31 to 5.84) and were at prior suicide risk (OR 3.39; 95% CI 1.56 to 7.37) were more likely to attempt suicide. Conclusion: The findings of this study may help health professionals identify depressed patients at greater risk for a first suicide attempt, supporting clinical decision and therapeutic planning.