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Impact of Patient Engagement on Blood Pressure Control Among Older Individuals With Hypertension in a Mobile Health Intervention: Longitudinal Analysis Using Latent Growth Curve Modeling

Impact of Patient Engagement on Blood Pressure Control Among Older Individuals With Hypertension in a Mobile Health Intervention: Longitudinal Analysis Using Latent Growth Curve Modeling

The LGCM fit was assessed using chi-square tests and several indices, such as the standardized root mean square residual, Tucker-Lewis index, confirmatory fit index, and root mean square error of approximation. Model fit was considered adequate based on the following criteria: Tucker-Lewis index ≥0.95, confirmatory fit index ≥0.95, standardized root mean square residual ≤0.08, and root mean square error of approximation ≤0.08 [35].

Nanxiang Zhang, Hai Lin, Xichun Wu, Yongjun Zheng, Jianan Yin, Chonglong Ding, Qi Pan, Shuo Yang, Hao Luo, Xinyan Zou, Yingfeng Ge, Jinxin Zhang

J Med Internet Res 2025;27:e71668

Objectively Measured Smartphone Use and Nonsuicidal Self-Injury Among College Students: Cross-Sectional Study

Objectively Measured Smartphone Use and Nonsuicidal Self-Injury Among College Students: Cross-Sectional Study

In addition, chi-square and Spearman correlation tests were used to estimate the relationship between smartphone screen time and number of smartphone unlocks. Sensitivity analyses were conducted to check the robustness of our estimations. First, to reduce the possible effects of the unbalanced sex ratio of participants, we performed a weighted logistic regression.

Wenhua Wang, Mingyang Wu, Xiaoxiao Yuan, Xue Wang, Le Ma, Lu Li, Lei Zhang

JMIR Ment Health 2025;12:e71264

Reduction of Salt and Sugar Contents in Canteen Foods and Intakes By Students and Staff at a Malaysian Higher Education Institution: Protocol for a Mixed Methods Study

Reduction of Salt and Sugar Contents in Canteen Foods and Intakes By Students and Staff at a Malaysian Higher Education Institution: Protocol for a Mixed Methods Study

Categorical variables will be reported as frequencies (percentages) and compared using chi-square tests or Fisher exact tests where appropriate. To account for individual dietary variability, including meals consumed outside campus, several adjustments will be made.

Yook Chin Chia, Yee-How Say, Maong Hui Cheng, Felicia Fei Lei Chung, Tze Pheng Lau, Pei Boon Ooi

JMIR Res Protoc 2025;14:e69610

Predicting Pathological Complete Response Following Neoadjuvant Therapy in Patients With Breast Cancer: Development of Machine Learning–Based Prediction Models in a Retrospective Study

Predicting Pathological Complete Response Following Neoadjuvant Therapy in Patients With Breast Cancer: Development of Machine Learning–Based Prediction Models in a Retrospective Study

Univariate analysis was performed using 2-tailed t tests and chi-square tests to identify significant differences between the p CR and non-p CR groups. Features that exhibited statistical significance (P The performance of the model was evaluated using accuracy and the area under the receiver operating characteristic curve (AUROC).

Chun-Chi Lai, Cheng-Yu Chen, Tzu-Hao Chang

JMIR Cancer 2025;11:e64685