Prediction of individual patient outcomes to psychotherapy vs medication for major depression [0.03%]
预测心理治疗与药物治疗对单个抑郁症患者的效果
Devon LoParo,Boadie W Dunlop,Charles B Nemeroff et al.
Devon LoParo et al.
Treatments for major depressive disorder (MDD) include antidepressant medications and evidence-based psychotherapies, which are approximately equally efficacious. Individual response to treatment, however, is variable, implying individual d...
Author Correction: Sex differences in the association between repetitive negative thinking and neurofilament light [0.03%]
作者更正：重复性消极思维与神经营养因子轻链关联的性别差异
Yolanda Lau,Amit Bansal,Cassandre Palix et al.
Yolanda Lau et al.
Published Erratum
Npj mental health research. 2025 Jan 18;4(1):3. DOI:10.1038/s44184-025-00116-y 2025
Decreased impulsiveness and MEG normalization after AI-digital therapy in ADHD children: a RCT [0.03%]
ADHD儿童经人工智能数字疗法后的冲动减少及脑电活动正常化：随机对照试验
Danylyna Shpakivska Bilan,Irene Alice Chicchi Giglioli,Pablo Cuesta et al.
Danylyna Shpakivska Bilan et al.
Attention-deficit/hyperactivity disorder (ADHD) presents with symptoms like impulsiveness, inattention, and hyperactivity, often affecting children's academic and social functioning. Non-pharmacological interventions, such as digital cognit...
Author Correction: Development of the psychopathological vulnerability index for screening at-risk youths: a Rasch model approach [0.03%]
作者更正：发展针对高危青年的病理心理脆弱性筛选指数：拉什模型方法
Yujing Liao,Haitao Shen,Wenjie Duan et al.
Yujing Liao et al.
Published Erratum
Npj mental health research. 2024 Dec 27;3(1):67. DOI:10.1038/s44184-024-00115-5 2024
Harnessing multimodal approaches for depression detection using large language models and facial expressions [0.03%]
利用大型语言模型和面部表情的多模态方法进行抑郁症检测
Misha Sadeghi,Robert Richer,Bernhard Egger et al.
Misha Sadeghi et al.
Detecting depression is a critical component of mental health diagnosis, and accurate assessment is essential for effective treatment. This study introduces a novel, fully automated approach to predicting depression severity using the E-DAI...
Implementation of trauma and disaster mental health awareness training in Puerto Rico [0.03%]
在波多黎各实施创伤和灾害精神健康意识培训的实践
Rosaura Orengo-Aguayo,Regan W Stewart,Tania Del Mar Rodríguez-Sanfiorenzo et al.
Rosaura Orengo-Aguayo et al.
Climate change is disproportionately impacting youth mental health around the world. Using a Community-Based Participatory approach, three universities (one in South Carolina and two in Puerto Rico) partnered after the devastation of Hurric...
Causal effects of sedentary breaks on affective and cognitive parameters in daily life: a within-person encouragement design [0.03%]
基于个人的鼓励设计探究久坐打断对日常生活中的情感和认知参数的因果效应
Marco Giurgiu,Irina Timm,Ulrich W Ebner-Priemer et al.
Marco Giurgiu et al.
Understanding the complex relationship between sedentary breaks, affective well-being and cognition in daily life is critical as modern lifestyles are increasingly characterized by sedentary behavior. Consequently, the World Health Organiza...
Detecting and tracking depression through temporal topic modeling of tweets: insights from a 180-day study [0.03%]
基于微博的抑郁检测与追踪：来自为期半年研究的洞见
Ranganathan Chandrasekaran,Suhas Kotaki,Abhilash Hosaagrahaara Nagaraja
Ranganathan Chandrasekaran
Depression affects over 280 million people globally, yet many cases remain undiagnosed or untreated due to stigma and lack of awareness. Social media platforms like X (formerly Twitter) offer a way to monitor and analyze depression markers....
Exploring digital use, happiness, and loneliness in Japan with the experience sampling method [0.03%]
基于经验取样法探讨日本的数字化使用、幸福与孤独感的关系
Yijun Chen,Xiaochu Zhang,Rei Akaishi
Yijun Chen
Smartphones have become an integral part of modern life, raising concerns about their impact on mental health, especially among young people. However, previous studies yielded inconsistent results, possibly due to neglecting the possibility...
Deep learning models can predict violence and threats against healthcare providers using clinical notes [0.03%]
基于临床记录的深度学习模型可以预测对医疗保健提供者的暴力和威胁事件
Nicholas J Dobbins,Jacqueline Chipkin,Tim Byrne et al.
Nicholas J Dobbins et al.
Violence, verbal abuse, threats, and sexual harassment of healthcare providers by patients is a major challenge for healthcare organizations around the world, contributing to staff turnover, distress, absenteeism, reduced job satisfaction, ...