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Using Music to Promote Hong Kong Young People’s Emotion Regulation and Reduce Their Mood Symptoms and Loneliness: Protocol for a Pilot Randomized Controlled Trial

Using Music to Promote Hong Kong Young People’s Emotion Regulation and Reduce Their Mood Symptoms and Loneliness: Protocol for a Pilot Randomized Controlled Trial

Youth mental health is a significant concern in Hong Kong. Studies have reported that the prevalence of depression and anxiety among adolescents is approximately 11.3% locally [1]. Loneliness is also widespread among young people in Hong Kong, occurring at a higher rate than that reported for their counterparts in North America [2]. Around 39% of young people in Hong Kong reported feeling lonely—an increase of 55% from 2012 to 2018 [3].

Yuan Cao, Yuanxin Shi, Debbie Chi Wing Low, Daniel T L Shek, David H K Shum, Radhika Tanksale, Genevieve Dingle

JMIR Res Protoc 2025;14:e67764

Association Between Internet Use and Sleep Health Among Middle-Aged and Older Chinese Individuals: Nationwide Longitudinal Study

Association Between Internet Use and Sleep Health Among Middle-Aged and Older Chinese Individuals: Nationwide Longitudinal Study

Comparisons of sociodemographic, lifestyle, and health characteristics between groups were conducted using independent 2-sample t tests for continuous variables and chi-square tests for categorical variables. This study used a multinomial logistic regression model to estimate relative risk (RR) and 95% CIs to assess the association between baseline internet use and baseline sleep health, and its relationship with sleep status after 3 years.

Xueqin Li, Jin Liu, Ning Huang, Wanyu Zhao, Hongbo He

J Med Internet Res 2025;27:e71030

Research Hotspots and Trends of Virtual Reality Intervention for Stroke: Bibliometric Analysis

Research Hotspots and Trends of Virtual Reality Intervention for Stroke: Bibliometric Analysis

Figure 4 elucidates the interinstitutional collaborative network among the leading entities applying virtual reality to stroke research. these collaborative ties, 4 institutions represented by Mc Gill University, University of Ottawa, Hong Kong Polytechnic University, and Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Centro Neurolesi Bonino Pulejo have formed 4 representative networks.

Yixin Wei, Yuan Chen, Runting Ma, Yitong Qiu, Wei Su, Li Zhang, Qiang Gao

JMIR Serious Games 2025;13:e65993

Acoustic Features for Identifying Suicide Risk in Crisis Hotline Callers: Machine Learning Approach

Acoustic Features for Identifying Suicide Risk in Crisis Hotline Callers: Machine Learning Approach

We first conducted chi-square tests to examine whether the gender and age range ratios differed in high and low suicide risk conditions. Demographic characteristics (sex and age) of the callers with suicide-related expression segments included in this study (N=273). A significant association was observed between gender and risk category (χ21=6.1; P=.01). The low-risk group showed higher female representation, while the high-risk group had a balanced gender ratio.

Zhengyuan Su, Huadong Jiang, Ying Yang, Xiangqing Hou, Yanli Su, Li Yang

J Med Internet Res 2025;27:e67772