World Psychiatry最新文献_第4页

Long-term effects of psychotherapies for depression: an advanced meta-analysis. 抑郁症心理治疗的长期效果：一项先进的荟萃分析。

IF 79.5 1区医学

World Psychiatry Pub Date : 2026-06-01 DOI: 10.1002/wps.70065

Pim Cuijpers, Clara Miguel, Esra Kaya Aglio, Annemieke van Straten, Eirini Karyotaki, Mathias Harrer

{"title":"Long-term effects of psychotherapies for depression: an advanced meta-analysis.","authors":"Pim Cuijpers, Clara Miguel, Esra Kaya Aglio, Annemieke van Straten, Eirini Karyotaki, Mathias Harrer","doi":"10.1002/wps.70065","DOIUrl":"10.1002/wps.70065","url":null,"abstract":"It is well-established that psychotherapies are effective in the treatment of depression. It remains unclear, however, whether the effects persist over the long term. We conducted a comprehensive meta-analysis examining the long-term effects of psychotherapies for depression compared with control conditions. We included randomized controlled trials (RCTs) comparing psychotherapies for adult depression with control conditions (care-as-usual, waitlist, or other) that reported outcomes at six months after randomization or later. The standardized mean difference (SMD) was the main outcome, but we also examined response rates in the treatment and control groups and the relevant risk ratio (RR). We evaluated the effectiveness of psychotherapies over time using a multivariate pooling model with cubic regression splines to allow for potentially non-linear interactions. Dependencies in the true effects were modeled using continuous-time autoregressive variance-covariance matrices. We included 191 RCTs with 209 comparisons between treatment and control groups, involving 33,691 participants (17,715 in the treatment, 15,976 in the control conditions). The trials encompassed 534 follow-up measurements, of which 52 (9.7%) occurred more than 12 months after randomization. The best fitting restricted cubic spline model for long-term SMDs (5 basis functions) indicated that the SMD increased from baseline to 0.55 at 12 weeks, then gradually decreased to 0.39 at around one-year follow-up, and remained largely stable thereafter. The SMD remained statistically significant up to 8.3 years (431 months) after randomization. The RR for response went up to 1.68 after 3 months and slowly decreased over time to 1.14 at 5-year follow-up. The RR remained significant up to 4.5 years (236 weeks). We conclude that psychotherapies have moderate to large effects at 3 months after randomization, which slowly decrease during the next 9 months to a moderate level, and remain stably moderate for several years.","PeriodicalId":49357,"journal":{"name":"World Psychiatry","volume":"25 2","pages":"287-294"},"PeriodicalIF":79.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13176859/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147943278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A longitudinal analysis of quality and longevity of mental health apps indexed in MIND, the largest database. 对心理健康应用程序的质量和寿命的纵向分析，索引在最大的数据库MIND中。

IF 79.5 1区医学

World Psychiatry Pub Date : 2026-06-01 DOI: 10.1002/wps.70064

Julian Herpertz, Bridget Dwyer, Jane Mikkleson, Matthew Flathers, Nils Opel, Christian Otte, Stefan M Gold, Ulrich W Ebner-Priemer, Julian Schwarz, Jake Linardon, Ayomide Egbejoda, Sean Ryan, John Torous

引用次数: 0

Social cohesion, social capital and mental health: current evidence and future research directions. 社会凝聚力、社会资本与心理健康：现有证据与未来研究方向。

IF 79.5 1区医学

World Psychiatry Pub Date : 2026-06-01 DOI: 10.1002/wps.70040

Ichiro Kawachi

{"title":"Social cohesion, social capital and mental health: current evidence and future research directions.","authors":"Ichiro Kawachi","doi":"10.1002/wps.70040","DOIUrl":"10.1002/wps.70040","url":null,"abstract":"Social cohesion is defined as the sense of belonging, solidarity and shared values within a group. Although the terms \"social capital\" and \"social cohesion\" are sometimes used interchangeably, strictly speaking the former refers to the resources embedded in social relations - such as trust and norms of cooperation - which then create social cohesion. Social cohesion has been studied as a predictor of mental health in residential communities, schools and workplaces. Taking a life-course perspective, this paper reviews the empirical evidence linking social cohesion to common mental disorders, psychosis, suicidality and substance misuse. Consistent evidence is found for a protective association between social cohesion and common mental disorders, suicidality and substance misuse. Findings are mixed for psychosis. Hypothetical pathways explaining the link between social cohesion and mental health include that: a) living in a cohesive community promotes neighborly interactions which may reduce residents' risk of becoming socially isolated; b) social cohesion buffers the deleterious effects of adversity; and c) social cohesion lowers crime and increases safety perceptions. Important gaps remain in the literature, including the need for improved measurement (greater consistency in the use of indicators to measure social cohesion, developing measures to capture bridging social capital, and enhancing the validity of multi-item instruments via application of item-response theory); the need to strengthen causal inference; and the need for participatory intervention studies that demonstrate how social cohesion can be intentionally generated, and for whom it can be beneficial. Investing in the strengthening of social cohesion represents an asset-based approach to mental health promotion. In contrast to a deficits-based approach (such as efforts targeting loneliness or social isolation), increased attention to social cohesion can be viewed as targeting an upstream driver of both social isolation and loneliness, as well as an independent determinant of population mental health.","PeriodicalId":49357,"journal":{"name":"World Psychiatry","volume":"25 2","pages":"168-189"},"PeriodicalIF":79.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13176874/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147943510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rethinking the prediction and prevention of dropout in digital mental health. 对数字心理健康中辍学预测与预防的再思考

IF 79.5 1区医学

World Psychiatry Pub Date : 2026-06-01 DOI: 10.1002/wps.70043

Jake Linardon

引用次数: 0

Moving on from the illusion of prevention towards effective prevention of psychosis. 从预防的幻觉转向有效预防精神病。

IF 79.5 1区医学

World Psychiatry Pub Date : 2026-06-01 DOI: 10.1002/wps.70049

Robin M Murray

引用次数: 0

A framework for clinical validation of generative artificial intelligence therapeutics. 生成式人工智能疗法的临床验证框架。