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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

Parental and Demographic Predictors of Engagement in an mHealth Intervention: Observational Study From the Let’s Grow Trial

Parental and Demographic Predictors of Engagement in an mHealth Intervention: Observational Study From the Let’s Grow Trial

Higher education level was associated with more days of app use (b=3.14, 95% CI 0.50-5.78; P=.02); accessing a higher proportion of pages (b=3.27, 95% CI 0.96-5.59; P=.006) and features (b=4.33, 95% CI 1.05-7.61; P=.01); and more clicks in the modules (b=18.59, 95% CI 5.33-31.86; P=.006), as well as higher EI (b=2.61, 95% CI 1.46-3.77; P In contrast, higher working hours were associated with lower levels of engagement on 4 of the individual indicators and 1 of the composite indicators.

Johanna Sandborg, Brittany Reese Markides, Savannah Simmons, Katherine L Downing, Jan M Nicholson, Liliana Orellana, Harriet Koorts, Valerie Carson, Jo Salmon, Kylie D Hesketh

JMIR Mhealth Uhealth 2025;13:e60478

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

Assessment of Recommendations Provided to Athletes Regarding Sleep Education by GPT-4o and Google Gemini: Comparative Evaluation Study

Assessment of Recommendations Provided to Athletes Regarding Sleep Education by GPT-4o and Google Gemini: Comparative Evaluation Study

Significance testing of the comparison between identical prompts across different LLMs shows that GPT-4o attained significantly higher Likert-scale scores in 9 of 10 criteria of relevance for sleep education (P In this paper, we compare the output of different LLMs when the same information was inserted. We do not show comparisons of different LLMs and different information input (eg, Gem_C1-S1 vs GPT_C1-S2) but provide these to the interested reader in Multimedia Appendix 3.

Lukas Masur, Matthew Driller, Haresh Suppiah, Manuel Matzka, Billy Sperlich, Peter Düking

JMIR Form Res 2025;9:e71358

How Medical Students Manage Depression, Anxiety, and Stress: A Cross-Sectional Study

How Medical Students Manage Depression, Anxiety, and Stress: A Cross-Sectional Study

Spearman correlations showed that school year was positively and moderately correlated with stress (r27=.699; P Second-year medical students had mild depression (13.67), with moderate anxiety (11.17) and stress (20.50; Figure 1). In contrast, first-year medical students were in the “normal” range across all categories. This demonstrates that second-year medical students experience higher levels of distress. The Kruskal-Wallis results.

Jonathan Shaw, Ashley Lai, Sasha Singh, Seung Rim Yoo, Maha Fathali, Laura Stuck, James Hagerty, Van Le, Jisu Shin, Charles Lai, Peter Bota, Aaron Jacobs

JMIR Form Res 2025;9:e74218

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