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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

Search keywords 电子烟 電子煙 电 zi 烟 电子 yan 悦刻 悦客 Relx 悦 KE Iqos 悦科 Glo 电子 y The collected dataset of posts underwent a rigorous data cleaning process to enhance quality and relevance for subsequent analysis. Initially, 2 researchers (TJ and ZL) independently screened all posts to exclude those unrelated to e-cigarettes. Any disagreements between the 2 researchers were resolved by a third researcher (ZS) to ensure consistency.

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

Growth Mindset Intervention's Impact on Positive Response to eHealth for Older Adults With Chronic Disease: Randomized Controlled Trial

Growth Mindset Intervention's Impact on Positive Response to eHealth for Older Adults With Chronic Disease: Randomized Controlled Trial

Baseline demographic and medical characteristics within groups were compared with an independent-sample t test (for quantitative variables), χ2 test (qualitative variables), or nonparametric rank-sum test (qualitative variables following grade data). The Mann-Whitney U test was applied to assess the difference in growth mindset and KWCP-SM between the two groups because of their abnormal distributions. Within-group comparisons were performed by the Wilcoxon signed ranks test.

Meijuan Cao, Xiaojuan Xu, Yaling Zeng, Binyu Zhao, Chunqi Xie, Hailu Wu, Jianlin Lou

JMIR Hum Factors 2025;12:e65519

Quality and Privacy Policy Compliance of Mental Health Care Apps in China: Cross-Sectional Evaluation Study

Quality and Privacy Policy Compliance of Mental Health Care Apps in China: Cross-Sectional Evaluation Study

Therefore, this study innovatively combined the Mobile App Rating Scale (MARS) [33] with the privacy policy compliance criteria from the Information Security Technology–Personal Information Security Specification (PI Specification; GB/t 35273-2020), establishing for the first time a privacy policy evaluation system specifically for Chinese mental health care apps, aiming to fill research gaps in regional adaptability and domain specificity as well as provide evidence for enhancing industry privacy protection

Xinying Lin, Xingxing Wu, Ziping Zhu, Danting Chen, Hong Li, Rong Lin

J Med Internet Res 2025;27:e66762

Use of Large Language Models to Classify Epidemiological Characteristics in Synthetic and Real-World Social Media Posts About Conjunctivitis Outbreaks: Infodemiology Study

Use of Large Language Models to Classify Epidemiological Characteristics in Synthetic and Real-World Social Media Posts About Conjunctivitis Outbreaks: Infodemiology Study

Probability: 70% Type: infectious Size: 2 Severity: mild Etiology: viral Source: forum post Snippet: “[T]o the rule, but they told us blocked tear duct and it was bacterial conjunctivitis. She ended up spreading it to big sister and me!” Probability: 100% Type: infectious Size: 3 Severity: moderate Etiology: bacterial Source: forum post Snippet: “[K]now Pink eye that easily infectious. Hopefully everyone recovers with no lasting damage.

Michael S Deiner, Russell Y Deiner, Cherie Fathy, Natalie A Deiner, Vagelis Hristidis, Stephen D McLeod, Thomas J Bukowski, Thuy Doan, Gerami D Seitzman, Thomas M Lietman, Travis C Porco

J Med Internet Res 2025;27:e65226

Exploring the Acceptance and Opportunities of Using a Specific Generative AI Chatbot to Assist Parents in Managing Pediatric Rheumatological Chronic Health Conditions: Mixed Methods Study

Exploring the Acceptance and Opportunities of Using a Specific Generative AI Chatbot to Assist Parents in Managing Pediatric Rheumatological Chronic Health Conditions: Mixed Methods Study

In total, there were 8 groups of mixed participants which included children and young people (n=9; age range 5‐26 y; mean age 13.3, SD 6.3 y) and parents (n=13). Each group consisted of 2‐5 participants. Participants felt that the chatbot needs to evolve with them. For instance, families felt that simple language should be used at the beginning of diagnosis. However, explanations should become more advanced in the subsequent years as families become more familiar and do not want to feel patronized.

Cheryl W Y Lau, Klaudia Kupiec, Polly Livermore

JMIR Pediatr Parent 2025;8:e70409