Discover mental health最新文献

{"title":"A brief report on making meaning of FoMO: post-Covid mental health and wellbeing in Minority Serving Institute.","authors":"Peri Yuksel, Wei Zhang","doi":"10.1007/s44192-025-00240-3","DOIUrl":"10.1007/s44192-025-00240-3","url":null,"abstract":"<p><p>Understanding the dynamics of Fear of Missing Out (FoMO) remains critical in the post-pandemic era, as societies gain access to myriad forms of being connected. This study examined online and offline behaviors, mental health, FoMO, and Post-Pandemic Lifestyle Changes Inventory in 129 anonymous online users aged 18-64 (M = 27.43, SD = 10.941, 14.7% male vs. 85.3% female). FoMO showed a significant positive correlation with anxiety (r = 0.384, p < 0.001) and depression (r = 0.345, p < 0.001), while no significant links were found between FoMO and sample characteristics (i.e., education level, gender, sexual orientation, place of birth, ethnicity, online, or offline behavior). Higher FoMO scores correlated with less perceived improvement in mental, emotional, social, professional, and financial domains post-Covid-19, indicating a potential barrier to overall life satisfaction. Findings highlight the need for further research into the psychosocial implications and complexities of media use in the context of pandemic-driven lifestyle changes.</p>","PeriodicalId":72827,"journal":{"name":"Discover mental health","volume":"5 1","pages":"99"},"PeriodicalIF":0.0,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12226436/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144556067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predictors of professional burnout among physicians in a country in Eastern Europe during the COVID-19 pandemic era.","authors":"Babatunde Fatoke, Stephen Olaide Aremu, Samuel Olusegun Itodo, Dorcas Oluwakemi Aremu, Abdillahi Abdi Barkhadle","doi":"10.1007/s44192-025-00234-1","DOIUrl":"10.1007/s44192-025-00234-1","url":null,"abstract":"<p><strong>Introduction: </strong>It is commonly known that physicians are subjected to high levels of stress in their jobs, which can result in physical, psychological, and emotional problems, including burnout. To prevent these negative results, international research has been conducted on the levels of stress, burnout, and associated psychiatric illness in health workers across a wide range of specialties. To determine the predictors of burnout syndrome among physicians, to compare burnout among specialist physicians, to determine if there are age differences as it relates to burnout, and to determine several predictive factors responsible for burnout among physicians.</p><p><strong>Method: </strong>The study employed the Maslach Burnout Inventory (MBI) to measure burnout levels among physicians and the World Health Organization Quality of Life (WHOQOL) questionnaires to assess their overall well-being. A total of 3,400 physicians participated, providing a substantial dataset for analysis. The methodology involved descriptive statistics to summarize key findings, bar charts for data visualization, and analysis of variance (ANOVA) to determine significant differences between groups where applicable. Additionally, multiple regression analysis was conducted to identify key predictors of burnout and their impact on physicians' quality of life, offering valuable insights into factors influencing their professional well-being.</p><p><strong>Results: </strong>This study assessed professional burnout among physicians using the adapted Maslach Burnout Inventory. Of the 3400 respondents, 14% reported mild burnout, 18% moderate, 29% high, and 39% very high burnout. No significant differences in burnout were found across specialties (F = 0.951, p = 0.386). However, age, physical and psychological health, social relationships, and environment significantly predicted burnout (p < 0.01). Younger physicians (18-30 years) experienced the highest burnout. Engagement with COVID-19 outpatients positively correlated with burnout (r = 0.023, p < 0.05), while private practice had a moderately negative but insignificant relationship (r = - 0.426).</p><p><strong>Conclusion: </strong>This study demonstrates a high level of burnout among physicians and several predictors of burnout in healthcare workers, which include age, psychological status, social status, and environment.</p>","PeriodicalId":72827,"journal":{"name":"Discover mental health","volume":"5 1","pages":"95"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12214173/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144546428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Self-stigma, insight and related factors among major depressive disorder, general anxiety disorder and obsessive-compulsive disorder patients: a cross-sectional study from Iran.","authors":"Ayda Ayoubi, Ali Amirkafi, Seyed Vahid Shariat, Sana Movahedi, Mohammadreza Shalbafan","doi":"10.1007/s44192-025-00237-y","DOIUrl":"10.1007/s44192-025-00237-y","url":null,"abstract":"<p><strong>Background: </strong>Self-stigma toward psychiatric disorders is a major barrier to help-seeking and treatment adherence, significantly impacting patients' quality of life. Insight is one of the key factors influencing internalized stigma. Therefore, this study aims to assess the relationship between self-stigma and insight among patients with Major Depressive Disorder (MDD), Generalized Anxiety Disorder (GAD), and Obsessive-Compulsive Disorder (OCD).</p><p><strong>Methods: </strong>A total of 140 participants included individuals diagnosed with MDD, GAD and OCD who had not experienced recurrent episodes over the past six months with convenience sampling. They were recruited from the outpatient clinics of the Tehran Psychiatry Institute and the Brain and Cognition Clinic in Tehran, Iran, between July 2021 and June 2022. Self-stigma was assessed using the Mental Illness Stigma Scale, a 34-item questionnaire in which higher scores indicate greater stigma. Insight was evaluated using three agree/disagree statements regarding self-identification as mentally ill, perceived need for psychiatric consultation, and perceived need for psychiatric medication.</p><p><strong>Results: </strong>A total of 140 patients were included in the study. Of these, 89 (63.6%) considered themselves mentally ill, 126 (90%) acknowledged the need for psychiatric consultation, and 113 (80.7%) recognized the need for psychiatric medication. The mean stigma score was 64.5 ± 21.0. Patients who recognized the need for psychiatric consultation and medication had significantly higher stigma scores compared to those who did not (p = 0.002, d = 0.87 and p = 0.003 d = 0.66 respectively).</p><p><strong>Conclusions: </strong>As one of the few studies examining the association between stigma and insight in patients with MDD, GAD and OCD, this research serves as a foundation for further exploration in this field. The current findings show that the recognition of need for psychiatric consultation as well as medication had significantly higher self-stigma compared to those who did not among participants.</p>","PeriodicalId":72827,"journal":{"name":"Discover mental health","volume":"5 1","pages":"94"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12214161/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144546429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative analysis of emotional and behavioral problems among adolescent offspring of female sex workers and residents of urban slum, Bangladesh.","authors":"Afia Mahmuda Khan, Koustuv Dalal, Sumaiya Zabin Eusufzai, Sabrin Shohid, Rinku Das, Sheikh Jamal Hossain, Lameea Shahed, Turia Alam, Kazi Sayma Ferdous, Mohammad Delwer Hossain Hawlader","doi":"10.1007/s44192-025-00211-8","DOIUrl":"10.1007/s44192-025-00211-8","url":null,"abstract":"<p><strong>Introduction: </strong>The children of female sex workers are the victims of their circumstances from the beginning and are deprived of an environment that encourages optimal physical and psychological development. This study aimed to assess the prevalence of emotional and behavioral problems among adolescent offspring of female sex workers and compare that with adolescent offspring of slum-dwellers in Daulatdia and Dhaka city, Bangladesh.</p><p><strong>Methods: </strong>A cross-sectional study was conducted with a sample of 394 adolescent children (196 adolescent offspring of sex workers and 198 adolescent offspring of slum dwellers) from March 2024 to May 2024 using a structured questionnaire. The study was conducted through face-to-face interviews where sociodemographic details, along with information regarding emotional and behavioral health problems, were assessed through the Strength and Difficulties Questionnaire (SDQ) scale, and health-related quality of life was assessed through the Kidscreen-10 scale. Descriptive analysis, bivariate analysis, and binary logistic regression analysis were performed.</p><p><strong>Results: </strong>The prevalence of emotional and behavioral problems was 13% for adolescent offspring of Daulatdia and 15% for Korail slum. Age and gender in brothel settings and HRQoL in both settings were found to be significantly associated with emotional and behavioral difficulties. Adolescent offspring of FSWs with low HRQoL (OR = 4.09, p-value < 0.05, CI 1.579-10.595) were 4.09 times more likely to suffer from abnormal mental disorders than those with average or high HRQoL. While in a slum setting, it is 2.825 times higher (OR = 2.825, p-value < 0.05, CI 1.142-6.987).</p><p><strong>Conclusion: </strong>The study concluded that the overall prevalence of emotional and behavioral problems for adolescent offspring of FSWs was significantly lower than for adolescent offspring of slum dwellers in the emotional problem subscale. Tailored interventions should be developed to address the specific needs of individuals with emotional and behavioral health problems while minimizing the detrimental impacts of their stigmatized identity.</p>","PeriodicalId":72827,"journal":{"name":"Discover mental health","volume":"5 1","pages":"93"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12214089/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144546407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Explainable AI in early autism detection: a literature review of interpretable machine learning approaches.","authors":"Renuka Agrawal, Rucha Agrawal","doi":"10.1007/s44192-025-00232-3","DOIUrl":"10.1007/s44192-025-00232-3","url":null,"abstract":"<p><p>Autism spectrum disorder (ASD) is a neurodevelopmental condition especially in children with a strong hereditary basis, making its early diagnosis challenging. Early detection of ASD enables individualized treatment programs that can improve social interactions, cognitive development, and communication abilities, hence lowering the long-term difficulties linked to the disorder. Early detection helps in therapeutic interventions, which can help children acquire critical skills and lessen the intensity of symptoms. Despite their remarkable predictive power, machine learning models are frequently less accepted in crucial industries like healthcare because of their opaque character, which makes it challenging for practitioners to comprehend the decision-making process. Explainable AI (XAI), an extension to AI, has emerged due to issues like trust, accountability, and transparency caused by the opaque nature of AI models, especially deep learning. XAI aims to make AI's decision-making processes easier to understand and more reliable. The present study delves into the extensive applications of XAI in diverse fields including healthcare, emphasizing its significance in guaranteeing an ethical and dependable implementation of AI. The article goes into additional detail in a specialized assessment of AI and XAI applications in research on ASD, showing how XAI can offer vital insights into identifying, diagnosing, and treating autism.</p>","PeriodicalId":72827,"journal":{"name":"Discover mental health","volume":"5 1","pages":"98"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12214148/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144546408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chaos to clarity: interpreting time series complexity metrics with an application to depression.","authors":"Sandip V George","doi":"10.1007/s44192-025-00231-4","DOIUrl":"10.1007/s44192-025-00231-4","url":null,"abstract":"<p><p>There is an increasing understanding in recent years that mental health and psychiatric illnesses can be interpreted as complex dynamical systems. This understanding is largely derived from the complexity of dynamics that is observed in time series that are closely related to mental health. This complexity is quantified using a range of metrics from information theory and nonlinear time series analysis. Interpreting these metrics correctly and discerning how they vary as the nature of the dynamics changes is important to correctly identify the effect of mental illness. In this perspective article I attempt to do this, by first describing complexity of time series and the metrics that are used to quantify this complexity. I then analyze the behavior of these metrics as dynamics transition between periodicity, chaos and noise. Finally, I explore these changes in the context of depression by studying existing literature, and interpret what this implies for the nature of its underlying dynamics. There are divergent trends across studies and across domains such as actigraphy, EEG, and ECG. These findings emphasize the need for a nuanced interpretation of complexity metrics and their role in advancing our understanding of the nonlinear dynamics underlying mental health conditions like depression.</p>","PeriodicalId":72827,"journal":{"name":"Discover mental health","volume":"5 1","pages":"97"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12214179/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144546406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mental health tracking among young Russians: practices and motivations.","authors":"Alexandra Paramonova, Oxana Mikhaylova","doi":"10.1007/s44192-025-00219-0","DOIUrl":"10.1007/s44192-025-00219-0","url":null,"abstract":"<p><p>The rapid development of digital mental health services can be attributed to the confluence of factors such as the rise of digitalization, individuals' increasing agency within medical systems across the globe, and the broader trend of fostering neoliberal subjects who assume responsibility for their own health. However, the relationship between agency in addressing mental health issues and adhering to the conventional paradigm of medicalized cognition remains unclear. In this paper, we investigate the practices and motivations of young Russians using mental health apps through the conceptual frameworks of Foucault and Giddens. Our sample consisted of 22 in-depth interviews with Russians aged between 18 and 29. Findings suggest that mental health narratives are highly individualized and correspond with a neoliberal conceptualization of agency. Trackers serve as tools of self-reflection that eschew intentions to change oneself due to their reliance on manual data input, which undermines Foucault's analysis of self-tracking.</p>","PeriodicalId":72827,"journal":{"name":"Discover mental health","volume":"5 1","pages":"96"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12214155/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144546409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring mental health of Italian college students: a systematic review and meta-analysis.","authors":"Luca Gambolò, Roberta Pireddu, Marta D'Angelo, Elena Maria Ticozzi, Lorenzo Bellini, Daniele Solla, Nazzareno Fagoni, Giuseppe Stirparo","doi":"10.1007/s44192-025-00229-y","DOIUrl":"10.1007/s44192-025-00229-y","url":null,"abstract":"<p><strong>Introduction: </strong>The transition from adolescence to adulthood is characterized by changes and challenges for students, that can affect their mental well-being. Furthermore, mental disorders often emerge before the age of 24, underscoring the significance of addressing mental health during the college years. The study's objective is to conduct a systematic review of the mental health of Italian university students, exploring the prevalence of psychopathological dimensions, identifying risk and protective factors, and investigating the impact on academic performance.</p><p><strong>Methods: </strong>The initial search yielded 842 papers. After the screening process, a total of 27 studies were included (22,928 participants).</p><p><strong>Results: </strong>The prevalence of mental distress is notable: stress affects 72.6%, anxiety 61.8%, depression 41.6%, sleep disorders 63.9%, and suicide risk 6.1%.</p><p><strong>Discussion: </strong>Biological factors like chronic illness and family history increase the risk of psychological disorders. Psychological factors, including sexual orientation, play a role. Dysfunctional personality traits, adverse events, financial concerns, and the pandemic amplify distress. Resilience, coping strategies, peer support, inclusive environments, physical activity, and balanced lifestyles act as protective factors. Mental distress impacts academic performance and often is exacerbated by the pressure to excel. Interventions encompass targeted support, cognitive-behavioral therapy, and the promotion of inclusive and supportive environments.</p>","PeriodicalId":72827,"journal":{"name":"Discover mental health","volume":"5 1","pages":"91"},"PeriodicalIF":0.0,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12179042/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144334535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exposure to pollution and climate change-induced food insecurity on depressive symptoms among adolescents in rural areas of Afghanistan.","authors":"Conrad Murendo","doi":"10.1007/s44192-025-00172-y","DOIUrl":"10.1007/s44192-025-00172-y","url":null,"abstract":"<p><strong>Background: </strong>Research into how pollution and climate change-induced food insecurity affect adolescents' mental health in Afghanistan is still in its infancy. This study analyses the association between pollution exposure, climate change-induced food insecurity and, depressive symptoms among adolescents in Afghanistan.</p><p><strong>Methods: </strong>A cross-sectional study was conducted among 1416 adolescents and their 1416 parents and/or caregivers in seven provinces of Afghanistan. Exposure to pollution and climate change-induced food insecurity are the explanatory variables of interest. Mental health was measured by the occurrence of depression. Multivariate logistic regression analysis was used for estimation.</p><p><strong>Results: </strong>The multivariate logistic regression results revealed that adolescents exposed to pollution were 2.66 times more likely to exhibit depressive symptoms (OR = 2.66; <math><mrow><mi>p</mi> <mo><</mo> <mn>0.001</mn></mrow> </math> ), and the effects were significant for both boys and girls. Adolescents experiencing climate change (drought and floods) induced food insecurity were 1.39 times more likely to exhibit depressive symptoms (OR = 1.30; <math><mrow><mi>p</mi> <mo><</mo> <mn>0.05</mn></mrow> </math> ). In addition, the study found that the effects of drought and flood induced food insecurity on mental health were pronounced among girls than boys.</p><p><strong>Conclusion: </strong>Exposure to pollution and climate change-induced food insecurity were associated with depressive symptoms among adolescents. The public, private sector, and international organizations should promote pollution, drought, and flood mitigation strategies, as these environmental factors may contribute to mental health challenges among adolescents. There is need for interventions that specifically target female adolescents given their vulnerabilities to climate change-induced food insecurity. There is scope to integrate mental health services, with food security, pollution and climate mitigation interventions in Afghanistan. Policymakers should focus on regular community-based mental health screening programs, training local mental health professionals, and educating adolescents about the symptoms of depression.</p>","PeriodicalId":72827,"journal":{"name":"Discover mental health","volume":"5 1","pages":"92"},"PeriodicalIF":0.0,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12179013/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144334536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative child mental health and academic outcomes after primary school teachers deliver task-shifted mental health care in India.","authors":"Priscilla Giri, Molly M Lamb, Venessa C Fuentes, Arpana Thapa, Surekha Bhattarai, Choden Dukpa, Catherine C Shrestha, Setareh Ekhteraei, Juliana L Vanderburg, Breanna Windsor, Abhishek K Rauniyar, Karen Hampanda, Bradley N Gaynes, Rinzi Lama, Michael Matergia, Christina M Cruz","doi":"10.1007/s44192-025-00217-2","DOIUrl":"10.1007/s44192-025-00217-2","url":null,"abstract":"<p><p>Teachers are promising lay counselors but have limited time for traditional therapy. To viably leverage teachers to deliver care, we developed Teachers Leading the Frontlines (Tealeaf), where teachers deliver a novel therapy, \"education as mental health therapy\" (Ed-MH); measures are an extension of classroom management, not an added task. We investigated whether Tealeaf teachers improved child mental health symptoms and academic achievement versus teachers delivering an enhanced usual care (EUC) comparator, Responding to Students' Emotions through Education (RE-SEED), a truncated version of Tealeaf. We conducted a pragmatic, mixed methods, post hoc analysis using data from 2019 of an open trial of Tealeaf running in parallel with the all-EUC first step of a stepped wedge cluster randomized controlled trial (SW-CRCT). We compared postintervention child mental health symptom scores and academic achievement. Semi-structured interviews and focus groups were analyzed using inductive content analyses. Tealeaf teachers observed lower mental health symptom severity (n = 23 children in Tealeaf, n = 104 in RE-SEED; Cohen's d = 0.70; p = 0.024). Students in Tealeaf (n = 26, n = 183 in RE-SEED) performed better in math (d = 0.63; p = 0.0006) and reading (d = 0.83; p = 0.001). Caregivers of children in RE-SEED (n = 177), the comparator condition, reported lower severity of overall mental health difficulties and internalizing difficulties for their children compared to caregivers' reports of their children in Tealeaf (n = 25). Tealeaf teachers displayed a greater depth in mental health understanding in mixed methods findings. Evidence supports teachers' potential to improve child mental health and academics in school while underscoring the need for additional home-based supports. Tealeaf Clinical Trials Registry-India (CTRI) Reg. No. CTRI/2018/01/011471, Ref. No. REF/2017/11/015895; date of registration 2018-01-01. RE-SEED TRN NCT04723277; date of registration 2021-01-25.</p>","PeriodicalId":72827,"journal":{"name":"Discover mental health","volume":"5 1","pages":"90"},"PeriodicalIF":0.0,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12176721/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144327964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}