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Prediction of Insulin Resistance in Nondiabetic Population Using LightGBM and Cohort Validation of Its Clinical Value: Cross-Sectional and Retrospective Cohort Study

Prediction of Insulin Resistance in Nondiabetic Population Using LightGBM and Cohort Validation of Its Clinical Value: Cross-Sectional and Retrospective Cohort Study

Continuous characteristics of participants, including age, height, weight, waist circumference, BMI, blood pressure, and blood biochemical indicators, and a comparison of the means and SDs between the insulin resistance and non–insulin resistance groups, along with the corresponding P values to evaluate the association of each characteristic with insulin resistance. a IR: Insulin resistance. b HOMA: Homeostasis Model Assessment. c WC: waist circumference. d BMI: body mass index. e SBP: systolic blood pressure

Ting Peng, Rujia Miao, Hao Xiong, Yanhui Lin, Duzhen Fan, Jiayi Ren, Jiangang Wang, Yuan Li, Jianwen Chen

JMIR Med Inform 2025;13:e72238

Natural Language Processing Chatbot–Based Interventions for Improvement of Diet, Physical Activity, and Tobacco Smoking Behaviors: Systematic Review

Natural Language Processing Chatbot–Based Interventions for Improvement of Diet, Physical Activity, and Tobacco Smoking Behaviors: Systematic Review

Categories of intervention effectiveness were differentiated into 4 groups based on the proportion of effective indicators in the primary outcome: (1) if all indicators were effective, it was considered effective (E); (2) if the effective ratio exceeded 50%, it was considered to be probably effective (PE); (3) if the effective ratio was less than 50%, it was considered not to be probably effective (PNE); (4) if the effective ratio was 0, it was considered not effective (NE).

Jing Chen, Run-Ze Hu, Yu-Xuan Zhuang, Jia-Qi Zhang, Rui Shan, Yang Yang, Zheng Liu

JMIR Mhealth Uhealth 2025;13:e66403

Impacts of the Mindfulness Meditation Mobile App Calm on Undergraduate Students’ Sleep and Emotional State: Pilot Randomized Controlled Trial

Impacts of the Mindfulness Meditation Mobile App Calm on Undergraduate Students’ Sleep and Emotional State: Pilot Randomized Controlled Trial

Like the findings of this study, in a systematic review and meta-analysis, Chen et al [33] reported that mobile-device-based mindfulness interventions appeared to significantly improve stress and anxiety but not depression among postsecondary students. In contrast, Gong et al [34], Alrashdi et al [36], and Zuo et al [35] found that online mindfulness interventions improved anxiety, stress, as well as depression among university students.

Tovan Lew, Natnaiel M Dubale, Erik Doose, Alex Adenuga, Holly E Bates, Sarah L West

JMIR Form Res 2025;9:e66131