Learning from boundlessness: epistemic shifts towards a holistic worldview following psychedelic experiences [0.03%]
无界限的学习：基于迷幻经历的整体世界观的知觉转变
E K Argyri,F Fraser,S Schilling et al.
E K Argyri et al.
Psychedelic substances are increasingly recognized for their potential to catalyse transformative shifts in worldviews. Central to these transformations may be the integration of self-transcendent states. This mixed-methods study explored t...
Predicting substance use behaviors with machine learning using small sets of judgment and contextual variables [0.03%]
基于小样本判断和语境变量的机器学习物质使用行为预测模型
Sumra Bari,Nicole L Vike,Byoung-Woo Kim et al.
Sumra Bari et al.
Substance use disorder (SUD) is characterized by behaviors of impaired control, physical dependence, social impairments, and risky use, regardless of the substance used-yet no prior work has predicted these behaviors directly. This study of...
Safeguarding the skilled trades: burnout, job satisfaction, and the risk of turnover in Ontario electricians [0.03%]
安大略省电工的职业倦怠、工作满意度和离职风险对其技艺传承的影响研究
Maryam Shahzad,Javier Mencia Ledo,Mahdi Azarmi et al.
Maryam Shahzad et al.
Skilled trades workers, including electricians, face unique occupational stressors and a persistent labour shortage that may contribute to burnout, job dissatisfaction, and heightened intention to leave (ITL). This cross-sectional study of ...
Longitudinal associations of dispositional forgivingness with multidimensional well-being: a two-wave outcome-wide analysis in the Global Flourishing Study [0.03%]
宽视角结局的纵向研究：人格宽容与多维度幸福之间的关联——来自全球 flourish 研究的数据
Richard G Cowden,Everett L Worthington Jr,R Noah Padgett et al.
Richard G Cowden et al.
In this preregistered longitudinal study with nationally representative samples from 23 countries in the Global Flourishing Study (N = 207,919), we examine associations between dispositional forgivingness and multidimensional well-being out...
Beyond depression symptoms: the default mode network as a predictor of antidepressant response [0.03%]
超越抑郁症状：默认模式网络作为抗抑郁药疗效的预测因素
Kaizhong Zheng,Liangjun Chen,Huaning Wang;DIRECT consortium;Baojuan Li et al.
Kaizhong Zheng et al.
Antidepressant efficacy for major depressive disorder (MDD) remains limited, with the neural mechanisms underlying treatment response poorly understood. The default mode network (DMN), particularly the connectivity between the medial prefro...
Telemedicine disparities among adolescents with suicidal thoughts and behaviors during the COVID-19 pandemic [0.03%]
新冠大流行期间青少年自杀想法和行为的远程医疗差异性
Morgan J Grant,Heath Hightower,Tamika D Gilreath
Morgan J Grant
Telemedicine became a vital tool during the COVID-19 pandemic, a time marked by increased social isolation and mental health challenges among adolescents. Using data from 7,998 U.S. adolescents collected in early 2021 via the Adolescent Beh...
A randomized controlled trial of an interactive digital therapeutic for stress and burnout management [0.03%]
一种用于压力和身心疲惫管理的互动数字疗法的随机对照试验
Katharina M Rischer,Linda T Betz,Antje Riepenhausen et al.
Katharina M Rischer et al.
This pragmatic randomized controlled trial examined the effectiveness of reviga, a self-guided digital intervention based on cognitive behavioral therapy, in reducing work-related stress symptoms. A total of 290 adults experiencing signific...
Reply: Matters Arising: The importance of understanding AI's impact on physician behavior [0.03%]
关于来信的回复：了解人工智能对医师行为影响的重要性
Katie Ryan,Hyun-Joon Yang,Bohye Kim et al.
Katie Ryan et al.
We respond to the Matters Arising article by Bernstein et al. in response to our recent article “Assessing the impact of AI on physician decision-making for mental health treatment in primary care”. Their response highlights the significa...
Matters Arising: The importance of understanding AI's impact on physician behavior [0.03%]
亟待解决的问题——理解人工智能对医师行为影响的重要性
Michael H Bernstein,Brian Sheppard,Michael A Bruno et al.
Michael H Bernstein et al.
In a prior edition of this journal, Ryan and colleagues conducted an experiment to examine the role of AI on physician decision making. They observed that 67% of physicians who initially recommended against treatment, but later viewed AI ou...
An assessment of the informativeness of clinical trials in digital mental health [0.03%]
数字精神卫生临床试验信息量的评估
Bridianne O&#x;Dea,Sally Rooke,Eliza-Rose Gordon et al.
Bridianne O&#x;Dea et al.
Clinical trials in digital mental health have grown rapidly, yet little research has examined their informativeness. This study assessed the proportions of recent trials that met indicators of informativeness and explored related factors. U...