Tag: Depression

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Platform shift in mental health support among undergraduates: from campus counselors to GenAI-based consultation​

China is advancing the implementation of the “AI+” initiative and exploring the promotion of AI technology in scenarios such as health management and assisted diagnosis. Against this backdrop, universities are accelerating the adoption of GenAI virtual counseling tools to address the growing psychological issues among undergraduates, including depression, anxiety, and academic stress. However, research on why students are shifting from traditional in-person psychological consultations to GenAI consultations remains limited. Therefore, this study focuses on the student population, collecting data through online questionnaires and employing the PLS-SEM method to systematically analyze the key factors and underlying mechanisms influencing students’ willingness to transition from campus psychologists to GenAI virtual doctors. The findings reveal that privacy concerns, social anxiety, and stigma surrounding mental illness significantly enhance students’ inclination toward AI consultations. The comfort level of interacting with AI and the accessibility of AI services play mediating roles. Additionally, perceived AI information quality significantly moderates the pathways through which privacy concerns, social anxiety, and stigma influence the willingness to switch. This study provides a theoretical foundation and practical reference for universities to develop intelligent psychological support systems that align with students’ actual needs.
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Reduced left dorsolateral prefrontal activation and right inferior frontal de-oxygenation differ between psychotic and non−psychotic adolescent depression during verbal fluency

BackgroundAdolescents with major depressive disorder (MDD) who exhibit psychotic symptoms (MDD-Psy) often show greater clinical severity and higher suicide risk than those without psychosis (MDD-NonPsy). It remains unclear whether prefrontal hemodynamic responses during cognitive challenge can differ between these subgroups.MethodsWe recruited 273 adolescents aged 14–16 years (110 MDD-NonPsy, 163 MDD-Psy). All completed a 60-s verbal fluency task (VFT) while 53-channel functional near-infrared spectroscopy recorded oxy- and deoxyhemoglobin (HbO, HbR) from six frontal ROIs. Whole-brain FDR correction identified baseline-deviated channels, and ROC analyses tested the discriminative value of significant channels/ROIs. Clinical severity was indexed by the Kutcher Adolescent Depression Scale (KDAS) and the Brief Psychiatric Rating Scale (BPRS).ResultsCompared with MDD-NonPsy, adolescents with MDD-Psy exhibited higher KDAS (median 16 vs 13; z = -7.07, p < 0.001) and BPRS total scores (median 35 vs 28; z = -11.02, p < 0.001). After FDR correction, MDD-NonPsy showed positive deviations at channels 8 and 23 (t = 2.10-2.70, pFDR=0.038), whereas MDD-Psy exhibited negative deviation at channel 2 (MNI –60, 19, 18; left middle frontal gyrus; t =-2.89, pFDR = 0.004). Across ROIs, only right inferior frontal gyrus HbR differed between groups (median –0.03 vs 0.00 mM·mm; z = -2.18, pFDR = 0.030). No ROI-level HbO differences survived correction. At the single-channel level, HbO at channel 2 and HbR in IFG_R correlated modestly with lower KDAS and restlessness scores (ρ = –0.14 to –0.16, p <0.050). ROC analyses indicated modest but significant classification accuracy for psychosis (AUC = 0.577-0.581, p = 0.030).ConclusionsLeft dorsolateral and right inferior prefrontal hemodynamic signatures differ between adolescents with MDD who present with versus without psychotic features. However, given the absence of healthy control or other psychiatric comparison groups, these findings cannot establish diagnostic specificity. Pending replication in independent samples, these fNIRS−derived hemodynamic signatures may inform future hypothesis−driven research.
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Pathway-Matched Resilience-Oriented Therapy in Rwanda

Conditions: Mental Health; Psychological Trauma; Stress Disorders, Post-Traumatic; Depression; Anxiety; Aggression; Substance-related Disorders; Psychosocial Functioning

Interventions: Behavioral: Resilience-Oriented Therapy – Emotion-Regulation Variant; Behavioral: Resilience-Oriented Therapy – Identity-Development Variant; Behavioral: Resilience-Oriented Therapy – Behavioural Self-Management Variant

Sponsors: Alexandros Lordos, PhD; Centre for Sustainable Peace and Democratic Development; University of Rwanda; Interpeace

Completed
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<![CDATA[New analysis finds postpartum depression and postpartum psychosis have distinct underlying biological mechanisms.]]>
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Exercise interventions for depressive symptoms in adults with lung and digestive cancer: a meta-analysis of randomized controlled trials

BackgroundDepressive symptoms are common among patients with cancer and can substantially impair quality of life, treatment adherence and overall well-being. Although exercise has been increasingly recognised as a promising non-pharmacological strategy for alleviating depression in oncology settings, existing evidence has focused predominantly on breast cancer, with limited attention to lung and digestive cancers. This meta-analysis aimed to evaluate the effects of exercise interventions on depressive symptoms in adults with lung and digestive cancer.MethodsA systematic search was conducted in PubMed, Web of Science, Embase, Cochrane Library and Scopus from database inception to March 2026. Randomized controlled trials investigating the effects of exercise interventions on depressive symptoms in adults with lung or digestive cancer were included. The primary outcome was depressive symptoms measured using validated instruments. Subgroup analyses were performed according to intervention format, exercise type and training frequency. Risk of bias was assessed using the Cochrane Risk of Bias tool version 1.ResultsEight randomized controlled trials were included in the meta-analysis. Baseline analysis showed no significant difference in depressive symptoms between the exercise and control groups before intervention. Post-intervention meta-analysis demonstrated that exercise significantly reduced depressive symptoms compared with control conditions (SMD = -0.45, P = 0.02), Although substantial heterogeneity was observed. Individually delivered programmes, walking-based exercise and moderate-frequency training (3–5 times per week) showed numerically larger effect estimates.ConclusionsExercise interventions may reduce depressive symptoms in adults with lung and digestive cancer and represent a promising adjunctive strategy for psychological care in these populations. Although subgroup differences were not statistically significant, certain intervention characteristics may be associated with greater benefit. Further large-scale, high-quality randomized trials are needed to confirm these findings and to establish the optimal exercise prescription for reducing depressive symptoms in adults with lung and digestive cancer.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD420261336578.
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Predictive value of antioxidant and thyroid function indicators for non-suicidal self-injury in adolescents with major depressive disorder

BackgroundNon-suicidal self-injury (NSSI) is highly prevalent in adolescents with major depressive disorder (MDD); however, its underlying pathophysiological mechanisms remain incompletely elucidated. Emerging evidence suggests a potential association between antioxidant markers, thyroid function parameters, and the occurrence of NSSI, although research in this domain remains limited. Accordingly, this study aimed to investigate the predictive efficacy of combining antioxidant and thyroid biomarkers with clinical symptoms for NSSI in adolescents with MDD.MethodsThis study recruited 162 adolescents with MDD between September 2022 and January 2026. Participants were stratified into groups based on the presence or absence of NSSI, in accordance with DSM-5 diagnostic criteria. Multidimensional scales were employed to assess the severity of depression, anxiety, perceived stress, and internet addiction (IA). Concurrently, blood samples were collected to measure bilirubin levels and thyroid function parameters. Stepwise logistic regression analysis was subsequently performed to identify independent risk factors associated with NSSI. Finally, receiver operating characteristic (ROC) curves were constructed to quantify the predictive performance of these identified independent factors.ResultsThe prevalence of NSSI in adolescents with MDD was 57.4%. Multivariate logistic regression analysis identified females (OR = 2.246, 95% CI = 1.032-4.888, P = 0.041), HAMD-17 score (OR = 1.183, 95% CI = 1.088-1.286, P < 0.001), indirect bilirubin (OR = 0.890, 95% CI = 0.797-0.995, P = 0.040), and TSH (OR = 2.060, 95% CI = 1.254-3.385, P = 0.004) as independent predictors of NSSI. Furthermore, ROC curve analysis further demonstrated that the four-item combination of sex, HAMD-17 score, indirect bilirubin, and TSH (AUC = 0.776, 95% CI = 0.701-0.850, P < 0.001) had a better ability to identify NSSI.ConclusionAdolescents with MDD, particularly females, represent a high-risk population for NSSI. Reduced levels of indirect bilirubin coupled with elevated TSH levels may constitute the underlying pathophysiological basis of NSSI and demonstrate significant clinical predictive value. In the future, targeted intervention strategies focusing on the antioxidant defense system and thyroid function may offer novel therapeutic avenues for the management of NSSI.
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Two years of COVID-19: persistently reduced well-being and increases in global psychopathology during the pandemic in a representative Austrian population-sample within the COH-FIT study

IntroductionThe COVID-19 pandemic worsened well-being and mental health worldwide, but effects have diminished over time. However, prospective national data within representative samples remain scarce. We aimed to examine the change in well-being and psychopathology from pre-pandemic to intra-pandemic times in an Austrian representative general population sample, to identify vulnerable subgroups, and explore most effective coping strategies to mitigate the impact of COVID-19.MethodsData were collected in Austria as part of the Collaborative Outcomes Study on Health and Functioning During Infection Times (COH-FIT) survey, an international, multilingual, anonymous online survey assessing mental health indicators during COVID-19. Adults ≥18 years old participated through nationally representative sampling across three waves from 05/2020-04/2022. Outcomes included the WHO well-being index (WHO-5) and a global psychopathology score (‘P-score’), alongside 12 predefined risk factors and 16 coping strategies.ResultsAcross 4,148 adults, the mean WHO-5 well-being score decreased by 7.5 ± 17.7 points from the pre-pandemic baseline (73.2 ± 19.7) to the intra-pandemic average (65.7 ± 24.1) (p<.001). Participants with female sex, pre-existing mental or physical health conditions, and unemployment experienced greater declines. The proportion of individuals scoring <50, indicating depression, increased from 12.6% pre-pandemic baseline to 25.1% intra-pandemic, and the proportion scoring <29, indicating major depression, increased from 3.3% to 9.7% (both p<.001). The ‘P-score’ increased by 9.6 ± 15.0 points from 24.1 ± 19.5 pre-pandemic baseline to 33.7 ± 22.4 intra-pandemic (p<.001) with the same risk groups (except female sex). Although the greatest deterioration in both outcomes occurred during the mid-pandemic period (04/2021), neither well-being nor ‘P-score’ levels returned to pre-pandemic baseline values by 04/2022, nor to values from 05/2020 (Wave 1). Greater deterioration in WHO-5 and the P-score were associated with female sex, unemployment, pre-existing mental or physical disorders, and COVID-19 infection. The most commonly reported helpful coping strategies included internet use, physical activity, media consumption, social media and remote interaction, and meaningful hobbies.DiscussionCOVID-19 had a persistent negative impact on well-being and mental health in Austria. Vulnerable subgroups – including those with prior health conditions and unemployment – were particularly affected. The findings underscore the importance of implementing public health measures together with targeted interventions, preventive measures, and long-term psychosocial support, especially for risk populations.