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Impact of Ecological Momentary Assessment Participation on Short-Term Smoking Cessation: quitSTART Ecological Momentary Assessment Incentivization Randomized Trial

Impact of Ecological Momentary Assessment Participation on Short-Term Smoking Cessation: quitSTART Ecological Momentary Assessment Incentivization Randomized Trial

Mean EMAs completed in the incentivized arm was 13.3 (SD 11.2, range 0‐40, average completion rate of 31.7% out of 42 total EMA prompts) and 4.7 (SD 5.8, range 0‐28, average completion rate of 11.2% out of 42 total EMA prompts) in the nonincentivized arm (P Smoking cessation outcomes overall and by group. a EMA: ecological momentary assessment.

Kara P Wiseman, Alex Budenz, Leeann Siegel, Yvonne M Prutzman

J Med Internet Res 2025;27:e67630

Fourier Transform Analysis of GPS-Derived Mobility Patterns for Diagnosis and Mood Monitoring of Bipolar and Major Depressive Disorders: Prospective Study

Fourier Transform Analysis of GPS-Derived Mobility Patterns for Diagnosis and Mood Monitoring of Bipolar and Major Depressive Disorders: Prospective Study

Both BP and MDD groups exhibited higher BDI (P Demographic and clinical characteristics of the participants. a HC: healthy control. b BP: bipolar disorder. c MDD: major depressive disorder. d YMRS: Young Mania Rating Scale. e Not available. f HAM-D: Hamilton Depression Rating Scale. g BDI-II: Beck Depression Inventory. h PHQ-4: Patient Health Questionnaire-4. i BAI: Beck Anxiety Inventory.

Ting-Yi Lee, Ching-Hsuan Chen, Chih-Min Liu, I-Ming Chen, Hsi-Chung Chen, Shu-I Wu, Chuhsing Kate Hsiao, Po-Hsiu Kuo

J Med Internet Res 2025;27:e71658

Effectiveness and Cost-Effectiveness of a Mobile Psychoeducation Program (OkeyMind) for Social Anxiety Symptoms Among Youths: Protocol for a Randomized Controlled Trial

Effectiveness and Cost-Effectiveness of a Mobile Psychoeducation Program (OkeyMind) for Social Anxiety Symptoms Among Youths: Protocol for a Randomized Controlled Trial

A P value Quality-adjusted life years (QALYs) will be used for economic evaluation to compare the relative costs and outcomes of different groups. Estimating quality of life weights involves quantifying the quality of life at different health states on a scale from 0, representing the worst imaginable health state or death, to 1, indicating perfect health. These weights are directly measured in this study population using standardized instruments (ie, EQ-5 D-5 L).

Yi-Zhou Wang, De-Hui Ruth Zhou, Siu-Man Ng, Bei-Bei Wang, Yu-Ya Feng, Xue Weng

JMIR Res Protoc 2025;14:e64518

Facilitators and Challenges to Adoption of a Digital Health Tool for Opioid Use Disorder Treatment in Primary Care: Mixed Methods Study

Facilitators and Challenges to Adoption of a Digital Health Tool for Opioid Use Disorder Treatment in Primary Care: Mixed Methods Study

A Bonferroni correction was applied to all P values by multiplying each P value by 4, the number of tests conducted, to correct for multiple comparisons; a P value less than .05 was considered statistically significant after correction. Timelines of OARS use were also described for MOUD providers and case managers. All analyses were conducted in R (version 4.2.1; R Foundation for Statistical Computing). All qualitative data were analyzed using a coding reliability thematic analysis approach [16].

Omar Nieto, Allison D Rosen, Mariah M Kalmin, Li Li, Steven J Shoptaw, Steven P Jenkins, Zahra Zarei Ardestani, Bengisu Tulu

J Med Internet Res 2025;27:e69953

Clinical and Cost-Effectiveness of Telehealth-Supported Home Oxygen Therapy on Adherence, Hospital Readmission, and Health-Related Quality of Life in Patients With Chronic Obstructive Pulmonary Disease: Systematic Review and Meta-Analysis of Randomized Controlled Trials

Clinical and Cost-Effectiveness of Telehealth-Supported Home Oxygen Therapy on Adherence, Hospital Readmission, and Health-Related Quality of Life in Patients With Chronic Obstructive Pulmonary Disease: Systematic Review and Meta-Analysis of Randomized Controlled Trials

Heterogeneity across studies was quantified using the I2 statistic and P value, as high heterogeneity was anticipated due to differences in specific interventions, participant characteristics, and follow-up durations [22]. Consequently, we adopted a random-effects model to obtain more conservative effect estimates. Subgroup analysis and publication bias assessments were not conducted due to the limited number of included studies [23].

Cuirong Hu, Xinqi Liao, Yi Fang, Shu Zhu, Xia Lan, Guilan Cheng

J Med Internet Res 2025;27:e73010

Association of Perceived Xingfu With Health-Related and Socioeconomic Factors Among Hong Kong Chinese Adults: Cross-Sectional Study Using a Novel Single-Item Tool

Association of Perceived Xingfu With Health-Related and Socioeconomic Factors Among Hong Kong Chinese Adults: Cross-Sectional Study Using a Novel Single-Item Tool

All P values for Pearson correlation coefficients b PSS-4: Perceived Stress Scale-4. c ACC: adversity coping capability. d PHQ-4: Patient Health Questionnaire-4. e Not applicable. Figure 1 shows the distribution of perceived xingfu and happiness scores. As both perceived xingfu and happiness peaked at scores of 7 (22%) and 8 (23%); therefore, perceived xingfu ≥7 was classified as high perceived xingfu in the logistic regression model.

Katherine Y P Sze, Sai Yin Ho, Agnes Yuen Kwan Lai, Jing Jia, Heng Xu, Shirley Man Man Sit, Tai Hing Lam, Man Ping Wang

JMIR Form Res 2025;9:e73350

E-Cigarette Narratives of User-Generated Posts on Xiaohongshu in China: Content Analysis

E-Cigarette Narratives of User-Generated Posts on Xiaohongshu in China: Content Analysis

Video posts were significantly more likely to generate comments than text-image posts, with an OR of 2.624 (95% CI 2.017‐3.439, P The logistic multivariate analysis of user engagement metrics. a Not applicable. To the best of our knowledge, this is the first study in China to comprehensively analyze e-cigarette–related content on Xiaohongshu, a leading Chinese social media platform, over an extended period.

Tingfen Ji, Zhao Liu, Zheng Su, Xin Xia, Yi Liu, Ying Xie, Zhenxiao Huang, Xinmei Zhou, Min Wang, Anqi Cheng, Qingqing Song, Yuxin Shi, Shunyi Shi, Aihemaiti Ailifeire, Jiahui He, Yingman Gao, Liang Zhao, Liyan Wu, Dan Xiao, Chen Wang

J Med Internet Res 2025;27:e71173

Enhancing Magnetic Resonance Imaging (MRI) Report Comprehension in Spinal Trauma: Readability Analysis of AI-Generated Explanations for Thoracolumbar Fractures

Enhancing Magnetic Resonance Imaging (MRI) Report Comprehension in Spinal Trauma: Readability Analysis of AI-Generated Explanations for Thoracolumbar Fractures

A P value of In addition, interrater reliability among the 7 surgeons evaluating MRI reports was assessed using Cohen kappa statistic in an effort to quantify agreement beyond chance. The Scripps Health Institutional Review Board approved this study with a waiver for deidentified use of patient records.

David C Sing, Kishan S Shah, Michael Pompliano, Paul H Yi, Calogero Velluto, Ali Bagheri, Robert K Eastlack, Stephen R Stephan, Gregory M Mundis Jr

JMIR AI 2025;4:e69654