Global Mental Health最新文献

{"title":"Differences in severity of depression symptoms in overweight, obese and normal weight Palestinian children and adolescents.","authors":"Hadeel Agbaria, Fayez Mahamid, Dana Bdier","doi":"10.1017/gmh.2024.126","DOIUrl":"https://doi.org/10.1017/gmh.2024.126","url":null,"abstract":"<p><p>Obesity is related to a wide variety of medical and psychological comorbidities which has short- and long-term effects on children's mental health. One of the most significant ones is depression. Thus, the current study utilized a descriptive methodology to explore the differences in depressive symptoms among overweight, obese, and normal-weight Palestinian children and adolescents. Data was collected from 270 Palestinian children and adolescents, aged (9-16) years: 85 with normal weight, 95 with over-weight and 90 obese. Findings showed that participants who are over-weight or obese exhibited more depressive symptoms than those with a normal weight. These findings showed that Palestinian children and adolescents who are over-weight or obese do experience depression and thus interventions should take this into account. In particular, it seems that over-weight boys or adolescents need more direct help in losing weight while obese children and adolescents who feel more helpless about their weight need serious psychological interventions. it is critical to offer psychological treatment as part of any weight loss intervention program for children and adolescents. Especially as these adolescents' families might encourage them to avoid seeking professional help and deal with the problem in the family.</p>","PeriodicalId":48579,"journal":{"name":"Global Mental Health","volume":"11 ","pages":"e127"},"PeriodicalIF":3.3,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11704379/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142956794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"No prediction without prevention: A global qualitative study of attitudes toward using a prediction tool for risk of developing depression during adolescence.","authors":"Brandon A Kohrt, Syed Shabab Wahid, Katherine Ottman, Abigail Burgess, Anna Viduani, Thais Martini, Silvia Benetti, Olufisayo Momodu, Jyoti Bohara, Vibha Neupane, Kamal Gautam, Abiodun Adewuya, Valeria Mondelli, Christian Kieling, Helen L Fisher","doi":"10.1017/gmh.2024.136","DOIUrl":"https://doi.org/10.1017/gmh.2024.136","url":null,"abstract":"<p><p>Given the rate of advancement in predictive psychiatry, there is a threat that it outpaces public and professional willingness for use in clinical care and public health. Prediction tools in psychiatry estimate the risk of future development of mental health conditions. Prediction tools used with young populations have the potential to reduce the worldwide burden of depression. However, little is known globally about adolescents' and other stakeholders' attitudes toward use of depression prediction tools. To address this, key informant interviews and focus group discussions were conducted in Brazil, Nepal, Nigeria and the United Kingdom with 23 adolescents, 45 parents, 47 teachers, 48 health-care practitioners and 78 other stakeholders (total sample = 241) to assess attitudes toward using a depression prediction risk calculator based on the Identifying Depression Early in Adolescence Risk Score. Three attributes were identified for an acceptable depression prediction tool: it should be understandable, confidential and actionable. Understandability includes depression literacy and differentiating between having a condition versus risk of a condition. Confidentiality concerns are disclosing risk and impeding educational and occupational opportunities. Prediction results must also be actionable through prevention services for high-risk adolescents. Six recommendations are provided to guide research on attitudes and preparedness for implementing prediction tools.</p>","PeriodicalId":48579,"journal":{"name":"Global Mental Health","volume":"11 ","pages":"e129"},"PeriodicalIF":3.3,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11704374/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142956860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The structure of the multidimensional scale of perceived social support: a meta-analytic confirmatory factor analysis.","authors":"Hakan Koğar, Esin Yılmaz Koğar","doi":"10.1017/gmh.2024.118","DOIUrl":"https://doi.org/10.1017/gmh.2024.118","url":null,"abstract":"<p><p>One of the most popular instruments used to assess perceived social support is the Multidimensional Scale of Perceived Social Support (MSPSS). Although the original structure of the MSPSS was defined to include three specific factors (significant others, friends and family), studies in the literature propose different factor solutions. In this study, we addressed the controversial factor structure of the MSPSS using a meta-analytic confirmatory factor analysis approach. For this purpose, we utilized studies in the literature that examined and reported the internal structure of the MSPSS. However, we used summary data from 59 samples of 54 studies (total <i>N</i> = 27,905) after excluding studies that did not meet the inclusion criteria. We tested five different models discussed in the literature and found that the fit indices of the correlated 3-factor model and the bifactor model were quite good. Therefore, we also examined both models' factor loadings and omega coefficients. Since there was no sharp difference between the two models and the theoretical structure of the scale was represented by the correlated three factors, we decided that the correlated three-factor model was more appropriate for the internal structure of the MSPSS. We then examined the measurement invariance for this model according to language and sample type (clinical and nonclinical) and found that metric invariance was achieved. As a result, we found that the three-factor structure of the MSPSS was supported in this study.</p>","PeriodicalId":48579,"journal":{"name":"Global Mental Health","volume":"11 ","pages":"e126"},"PeriodicalIF":3.3,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11704376/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142956937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applying systems theory to global mental health.","authors":"Mark J D Jordans","doi":"10.1017/gmh.2024.147","DOIUrl":"10.1017/gmh.2024.147","url":null,"abstract":"<p><p>In recent years the evidence base for psychological interventions in low- and -middle-income countries (LMIC) has rapidly accrued, demonstrating that task-shifting models result in desired outcomes. Next, it is important to look at how this evidence translates into practice. In doing so, this paper argues that the field of global mental health might benefit from applying a system theory or system science perspective. Systems thinking aims to understand how different components are connected and interdependent within a larger emergent entity. At present much of the research efforts into psychological interventions in LMIC are focusing on single interventions, with little focus on how these interventions sit in, or influence, a larger system. Adopting systems theory and system dynamics tools can help in; (i) better analyzing and understanding the key drivers of mental health problems and services, (ii) optimizing mental health services; and (iii) understanding the organization of people, institutions and resources required for rolling out and scaling-up mental health services. This paper reflects on some of these merits of a systems perspective, as well as provides some examples.</p>","PeriodicalId":48579,"journal":{"name":"Global Mental Health","volume":"12 ","pages":"e2"},"PeriodicalIF":3.3,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11810753/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143400435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data-driven supervision to optimize the effectiveness of proactive case detection for mental health care among children: a proof-of-concept study.","authors":"Myrthe van den Broek, M Claire Greene, Anthony F Guevara, Sandra Agondeze, Erimiah Kyanjo, Olivier Irakoze, Rosco Kasujja, Brandon A Kohrt, Mark J D Jordans","doi":"10.1017/gmh.2024.150","DOIUrl":"10.1017/gmh.2024.150","url":null,"abstract":"<p><p>This proof-of-concept study evaluated an optimization strategy for the Community Case Detection Tool (CCDT) aimed at improving community-level mental health detection and help-seeking among children aged 6-18 years. The optimization strategy, CCDT+, combined data-driven supervision with motivational interviewing techniques and behavioural nudges for community gatekeepers using the CCDT. This mixed-methods study was conducted from January to May 2023 in Palorinya refugee settlement in Uganda. We evaluated (1) the added value of the CCDT+ in improving the accuracy of detection and mental health service utilization compared to standard CCDT, and (2) implementation outcomes of the CCDT+. Of the 1026 children detected, 801 (78%) sought help, with 656 needing mental health care (PPV = 0.82; 95% CI: 0.79, 0.84). The CCDT+ significantly increased detection accuracy, with 2.34 times higher odds compared to standard CCDT (95% CI: 1.41, 3.83). Additionally, areas using the CCDT+ had a 2.05-fold increase in mental health service utilization (95% CI: 1.09, 3.83). The CCDT+ shows promise as an embedded quality-optimization process for the detection of mental health problems among children and enhance help-seeking, potentially leading to more efficient use of mental health care resources.</p>","PeriodicalId":48579,"journal":{"name":"Global Mental Health","volume":"12 ","pages":"e4"},"PeriodicalIF":3.3,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11810756/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143400447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sociodemographic factors associated with trajectories of depression among urban refugee youth in Kampala, Uganda: A longitudinal cohort study.","authors":"Zerihun Admassu, Sikky Shiqi Chen, Carmen H Logie, Moses Okumu, Frannie MacKenzie, Robert Hakiza, Daniel Kibuuka Musoke, Brenda Katisi, Aidah Nakitende, Peter Kyambadde, Lawrence Mbuagbaw","doi":"10.1017/gmh.2024.135","DOIUrl":"https://doi.org/10.1017/gmh.2024.135","url":null,"abstract":"<p><strong>Background: </strong>There is a high prevalence of depression among refugee youth in low- and middle-income countries, yet depression trajectories are understudied. This study examined depression trajectories, and factors associated with trajectories, among urban refugee youth in Kampala, Uganda.</p><p><strong>Methods: </strong>We conducted a longitudinal cohort study with refugee youth aged 16-24 in Kampala, Uganda. We assessed depression using the Patient Health Questionnaire-9 and conducted latent class growth analysis (LCGA) to identify depression trajectories. Sociodemographic and socioecological factors were examined as predictors of trajectory clusters using multivariable logistic regression.</p><p><strong>Results: </strong>Data were collected from n = 164 participants (n = 89 cisgender women, n = 73 cisgender men, n = 2 transgender persons; mean age: 19.9, standard deviation: 2.5 at seven timepoints; n = 1,116 observations). Two distinct trajectory clusters were identified: \"sustained low depression level\" (n = 803, 71.9%) and \"sustained high depression level\" (n = 313, 28.1%). Sociodemographic (older age, gender [cisgender women vs. cisgender men], longer time in Uganda), and socioecological (structural: unemployment, food insecurity; interpersonal: parenthood, recent intimate partner violence) factors were significantly associated with the sustained high trajectory of depression.</p><p><strong>Conclusions: </strong>The chronicity of depression highlights the critical need for early depression screening with urban refugee youth in Kampala. Addressing multilevel depression drivers prompts age and gender-tailored strategies and considering social determinants of health.</p>","PeriodicalId":48579,"journal":{"name":"Global Mental Health","volume":"11 ","pages":"e125"},"PeriodicalIF":3.3,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11704380/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142956833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A scoping review on peer-led interventions to improve youth mental health in low- and middle-income countries.","authors":"Dana Chow, Dunstan J Matungwa, Elizabeth R Blackwood, Paul Pronyk, Dorothy Dow","doi":"10.1017/gmh.2024.149","DOIUrl":"10.1017/gmh.2024.149","url":null,"abstract":"<p><p>Youth living in low- and middle-income countries (LMICs) have an increased vulnerability to mental illnesses, with many lacking access to adequate treatment. There has been a growing body of interventions using task sharing with trained peer leaders to address this mental health gap. This scoping review examines the characteristics, effectiveness, components of peer delivery and challenges of peer-led mental health interventions for youth aged 10-24 in LMICs. A key term search strategy was employed across MEDLINE, Embase, Web of Science, Global Health and Global Index Medicus. Eligibility criteria included young people aged 10-24 and a peer-led component delivered in any setting in an LMIC. Study selection and extraction were conducted independently by the first and second authors, with discrepancies resolved by the senior author. Study characteristics were summarised and presented descriptively. The search identified 5,358 citations, and 19 studies were included. There were 14 quantitative, four qualitative and one mixed methods study reporting mental health outcomes. Types of interventions were heterogenous but fell within three broad categories: (1) peer education and psychoeducation, (2) peer-led psychotherapy and counselling and (3) peer support. All studies reported improved mental health outcomes as a result of the peer-led interventions. Peer-led interventions are versatile in terms of both the types of interventions and mode of delivery. Lived experience, mutual respect and reduced stigma make this method a highly unique and effective way to engage this age group. However, implementing peer-led youth interventions is not without challenges. Adequate training, supervision, cultural appropriateness and support from established institutions are critical to safeguarding and ensuring the sustainability of such programs. Our findings suggest that peer-led models are a valuable intervention strategy that policymakers can leverage in current and future efforts to address youth mental health in LMICs. Future areas of research should expand to include the perspectives of other key stakeholders involved in the implementation of peer-led mental health interventions, focusing on factors including fidelity, feasibility and acceptability to enhance implementation insights.</p>","PeriodicalId":48579,"journal":{"name":"Global Mental Health","volume":"12 ","pages":"e1"},"PeriodicalIF":3.3,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11704389/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142956939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Co-design of \"Baatcheet,\" a peer-supported, web-based storytelling intervention for young people with common mental health problems in India.","authors":"Pattie P Gonsalves, Dhriti Mittal, Shruti Aluria, Aarushi Khan, Eshita Razdan, Priyambada Kashyap, Navvya Rahate, Manek D'Silva, Sonaksha Iyengar, Faith Gonsalves, Sweta Pal, Salik Ansari, Clio Berry, Daniel Michelson","doi":"10.1017/gmh.2024.148","DOIUrl":"https://doi.org/10.1017/gmh.2024.148","url":null,"abstract":"<p><strong>Background: </strong>Engaging with personal mental health stories has the potential to help people with mental health difficulties by normalizing distressing experiences, imparting coping strategies and building hope. However, evidence-based mental health storytelling platforms are scarce, especially for young people in low-resource settings.</p><p><strong>Objective: </strong>This paper presents an account of the co-design of 'Baatcheet' ('conversation' in Hindi), a peer-supported, web-based storytelling intervention aimed at 16-24-year-olds with depression and anxiety in New Delhi, India.</p><p><strong>Methods: </strong>Development comprised three stages: (1) establishing a logic model through consultations with a Young People's Advisory Group (<i>N</i> = 11) and a stakeholder reference group (<i>N</i> = 20); (2) elaborating intervention guiding principles and components through focus group discussions and co-design workshops (<i>N</i> = 42); and (3) user-testing of prototypes.</p><p><strong>Results: </strong>The developmental process identified key stakeholder preferences for an online, youth-focused mental health storytelling intervention. Baatcheet uses an interactive storytelling website containing a repository of personal stories about young people's experiences of depression and anxiety. This is offered alongside brief support from a peer.</p><p><strong>Conclusions: </strong>There are few story-based interventions addressing depression and anxiety for young people, especially in low-resource settings. Baatcheet has the potential to deliver engaging, accessible and timely mental health support to young people. A pilot evaluation is underway.</p>","PeriodicalId":48579,"journal":{"name":"Global Mental Health","volume":"11 ","pages":"e128"},"PeriodicalIF":3.3,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11704371/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142956788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum: Combining a guided self-help and brief alcohol intervention to improve mental health and reduce substance use among refugee men in Uganda: a cluster-randomized feasibility trial - CORRIGENDUM.","authors":"M Claire Greene, Lena S Andersen, Marx R Leku, Teresa Au, Josephine Akellot, Nawaraj Upadhaya, Raymond Odokonyero, Ross White, Peter Ventevogel, Claudia Garcia-Moreno, Wietse A Tol","doi":"10.1017/gmh.2024.145","DOIUrl":"https://doi.org/10.1017/gmh.2024.145","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.1017/gmh.2024.103.].</p>","PeriodicalId":48579,"journal":{"name":"Global Mental Health","volume":"11 ","pages":"e124"},"PeriodicalIF":3.3,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11704385/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142956815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing psychosocial disability and psychosocial rehabilitation research through large language models and computational text mining.","authors":"Soheyla Amirian, Ashutosh Kekre, Boby John Loganathan, Vedraj Chavan, Punith Kandula, Nickolas Littlefield, Joseph R Franco, Ahmad P Tafti, Ikenna D Ebuenyi","doi":"10.1017/gmh.2024.114","DOIUrl":"https://doi.org/10.1017/gmh.2024.114","url":null,"abstract":"<p><p>Psychosocial rehabilitation and psychosocial disability research have been a longstanding topic in healthcare, demanding continuous exploration and analysis to enhance patient and clinical outcomes. As the prevalence of psychosocial disability research continues to attract scholarly attention, many scientific articles are being published in the literature. These publications offer profound insights into diagnostics, preventative measures, treatment strategies, and epidemiological factors. Computational text mining as a subfield of artificial intelligence (AI) can make a big difference in accurately analyzing the current extensive collection of scientific articles on time, assisting individual scientists in understanding psychosocial disabilities better, and improving how we care for people with these challenges. Leveraging the vast repository of scientific literature available on PubMed, this study employs advanced text mining strategies, including word embeddings and large language models (LLMs) to extract valuable insights, automatically catalyzing research in mental health. It aims to significantly enhance the scientific community's knowledge by creating an extensive textual dataset and advanced computational text mining strategies to explore current trends in psychosocial rehabilitation and psychosocial disability research.</p>","PeriodicalId":48579,"journal":{"name":"Global Mental Health","volume":"11 ","pages":"e123"},"PeriodicalIF":3.3,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11704382/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142956777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}