Pathways to Prosociality: How Classroom Strategies That Support Basic Psychological Needs Foster Prosocial Behavior in Children [0.03%]
亲社会性培养途径：课堂策略如何支持基本心理需求以促进儿童的亲社会行为
Yue Sun,Amanda W G van Loon,Tessa M L Kaufman
Yue Sun
This study investigated how specific components of a classroom-based intervention promote prosocial behavior in primary school children, guided by Basic Psychological Needs Theory (BPNT). Drawing on data from a large-scale intervention (N =...
Disseminating Health Prevention Programs Using AI-Crafted, Culturally Tailored Ads for Somali American Adolescents [0.03%]
使用AI制作的、文化定制的广告传播索马里美国青少年健康预防项目
Tori Simenec,Salma Ibrahim,Gail Ferguson
Tori Simenec
Recent advancements in artificial intelligence (AI) and digital health messaging present opportunities to bridge service health gaps in underserved communities. Adolescents are highly engaged with technology; however, they lack the access t...
Quasi-randomization to Cannabinoid Condition in Studies of US Legal Market Cannabis: Characteristics of Accepters Versus Decliners of Condition Assignment [0.03%]
美国合法市场大麻研究中将受试者随机分入大麻组的特征：接受或拒绝条件分配者的对比
Carillon J Skrzynski,Angela D Bryan,Sarah J Schmiege
Carillon J Skrzynski
Although random assignment is the standard for drawing causal inferences within clinical trials, it is generally precluded in legal market cannabis research given its federal classification as a schedule 1 drug. Unfortunately, this may caus...
Characterizing the Substance Use Prevention Funding Landscape in the United States: a Cross-Sectional Study of National Prevention Network Representatives and Practitioners [0.03%]
美国物质使用预防资金现状的横断面研究：来自全国预防网络代表和实践者的视角
Shirley S Liu,Elvira Elek,Natalie Blackburn et al.
Shirley S Liu et al.
Youth and adolescent substance use remains a persistent public health challenge in the United States; the delivery of evidence-based interventions (EBIs) is critical to improving related negative consequences. The Substance Abuse and Mental...
Using Machine Learning to Predict Features Within Substance Use Disorder Treatment Service Settings That Increase the Likelihood of Positive Treatment Outcomes [0.03%]
运用机器学习预测物质使用障碍治疗环境中增加积极治疗效果的特征要素
Treena Becker,Alberto Gonzalez-Martinez
Treena Becker
Given the conceptual issues involved in defining and measuring recovery and accordingly substance use disorder (SUD) treatment outcomes, the role of each state's treatment system and social factors, the objective is to examine underlying an...
Leveraging Machine Learning to Understand the Link Between School Climate and Youth Substance Use: a Focus on Cannabis and Alcohol Use [0.03%]
利用机器学习探讨学校风气与青少年药物滥用之间的关系：以大麻和酒精的使用为重点研究对象
Ali Ünlü,Candra Skrzypek,Catherine P Bradshaw
Ali Ünlü
This paper focuses on school climate indicators, which have been previously linked with aspects of students' well-being and school-related success, to explore how they relate to alcohol and cannabis use. We used machine learning (ML) approa...
Gun-Related Beliefs as Predictors of Gun Policy Support: Findings from the Nationally Representative GRIP Survey [0.03%]
基于GRIP全国代表型调查的枪支相关政策支持预测因素研究——美国人的持枪态度与行为探究报告
Julie A Ward,Ryan Baxter-King,Phillip N Smith et al.
Julie A Ward et al.
Partisan affiliations and other demographic characteristics inadequately explain support for gun policy and provide vague public health messaging guidance. Gun-related beliefs may be more malleable and meaningful determinants of policy supp...
Identifying and Prioritizing Core Components of Relationship Education Programs: a Case Study of an Artificial Intelligence (AI) Assisted Systematic Review [0.03%]
关系教育项目核心组成部分的识别与优先顺序确定：一种人工智能(AI)辅助系统性综述的案例研究
Claire Kelley,Sarah Kelley,Matthew Rivas-Koehl et al.
Claire Kelley et al.
The field of prevention science seeks to identify and implement effective strategies to address social, emotional, and health challenges. A critical aspect of this endeavor is determining the core components of prevention programs that driv...
Leveraging Machine Learning to Uncover Ethnic-Specific Predictors of Maternal Postpartum Depression [0.03%]
利用机器学习发现特定民族产后抑郁症预测因素
Ying Zhang,Jun Fang,Andrew Liu
Ying Zhang
Maternal postpartum depression (PPD) is a significant mental health issue that affects over 15% of mothers, with adverse effects on their children. Ethnic disparities in PPD represent a pressing public health concern, and minority mothers a...
A Scoping Review of Strategies to Increase Newcomer Family Access to Early Childhood Services [0.03%]
提高新人家庭获得儿童早期服务的策略的范围审查
Elly Miles,Erin Doyle,Soumita Bose et al.
Elly Miles et al.
Early childhood services can lay a critical foundation for refugee and immigrant children as they develop in new cultural contexts; however, these populations are underrepresented in a variety of early childhood programs such as early care ...