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Health-Related Internet Use Among Outpatients Undergoing Cancer Treatment During the COVID-19 Pandemic: Cross-Sectional Survey Study

Health-Related Internet Use Among Outpatients Undergoing Cancer Treatment During the COVID-19 Pandemic: Cross-Sectional Survey Study

The 2-tailed t test and Mann-Whitney U test were used to analyze group differences for numeric variables (ie, number of used apps). The chi-square test of independence and contingency analyses were used to analyze categorical variables.

Nicole Erickson, Daniel Nasseh, Sarah Seynstahl, Nicole Jost, Rachel Wuerstlein, Jozefina Casuscelli, Sebastian Theurich, Volker Heinemann, Theres Fey

JMIR Hum Factors 2025;12:e72614

The Use of Mobile Health Technology and Behavioral Economics to Encourage Adherence to Statins and Blood Pressure–Lowering Medication in Adolescents with Familial Hypercholesterolemia or Hypertension: Protocol for a Pre-Post Cohort Study

The Use of Mobile Health Technology and Behavioral Economics to Encourage Adherence to Statins and Blood Pressure–Lowering Medication in Adolescents with Familial Hypercholesterolemia or Hypertension: Protocol for a Pre-Post Cohort Study

The mean difference in adherence rates at 60 days after the start of the intervention (day 74) would be compared to 0%, which was the value that would be expected if there was no difference between the two interventions using a 2-sided paired t test conducted at the .05 level of significance. The mean adherence rate was hypothesized to be 80% when patients received small frequent awards and 74% when receiving a large, randomly delivered reward, suggesting a mean within-patient difference of 6%.

Jacob Hartz, Hannah Chiert, Sarah de Ferranti, Tiffany Powell-Wiley

JMIR Res Protoc 2025;14:e65105

Evaluating the Accuracy of Web-Based and In-Clinic Subjective Cognitive Decline Assessments in Detecting Cognitive Impairment: Multicohort Study

Evaluating the Accuracy of Web-Based and In-Clinic Subjective Cognitive Decline Assessments in Detecting Cognitive Impairment: Multicohort Study

We produced descriptive statistics according to the diagnostic groups (CU and CI) and web-based or in-clinic study setting (BHR and ADNI) and compared demographic and clinical information and ECog scores between groups using independent t test (2-tailed) and chi-square test. To test the first hypothesis that the web-based ECog can distinguish diagnostic groups, we performed binomial logistic regression analyses with the diagnostic group (CU or CI) as the dependent variable.

Jae Myeong Kang, Manchumad Manjavong, Adam Diaz, Miriam T Ashford, Anna Aaronson, Joseph Eichenbaum, Scott Mackin, Rachana Tank, Melanie J Miller, Bernard Landavazo, Erika Cavallone, Diana Truran, Monica R Camacho, Juliet Fockler, Derek Flenniken, Sarah Tomaszewski Farias, Michael W Weiner, Rachel Nosheny

J Med Internet Res 2025;27:e69689

Optimizing Cardiovascular Risk Management in Primary Care Using a Personalized eCoach Solution Enhanced by an Artificial Intelligence–Driven Clinical Prediction Model: Protocol from the Coronary Artery Disease Risk Estimation and Early Detection Consortium

Optimizing Cardiovascular Risk Management in Primary Care Using a Personalized eCoach Solution Enhanced by an Artificial Intelligence–Driven Clinical Prediction Model: Protocol from the Coronary Artery Disease Risk Estimation and Early Detection Consortium

A paired sample t test will be performed for at least the 10-year ASCVD risk, assuming normality. Individual components, including systolic blood pressure, use of blood pressure medication, total cholesterol, HDL, use of lipid-modifying agents, smoking status, and moderate to vigorous physical activity, will be evaluated using the Mc Nemar test for dichotomous outcomes and the paired sample t test for continuous variables.

Rutger van Mierlo, Bart Scheenstra, Joost Verbeek, Anke Bruninx, Petros Kalendralis, Inigo Bermejo, Andre Dekker, Arnoud van 't Hof, Marieke Spreeuwenberg, Laura Hochstenbach

JMIR Res Protoc 2025;14:e66068

A Virtual Reality–Based Cognitive Defusion Application for Youth Depression and Anxiety: Mixed Methods Experimental Study

A Virtual Reality–Based Cognitive Defusion Application for Youth Depression and Anxiety: Mixed Methods Experimental Study

Independent 2-tailed t tests and chi-square tests were conducted to test for differences between groups in baseline demographic and clinical characteristics. Repeated measures t tests and within-group effect sizes (Cohen d) were reported for changes in pre- to postexercise scores on state-based measures for the VR and audio groups.

Imogen H Bell, Cassandra Li, Andrew Thompson, Carli Ellinghaus, Shaunagh O’Sullivan, Kate Alexandra Reynolds, Greg Wadley, Yang Liu, Sarah Bendall, John Gleeson, Lucia Valmaggia, Mario Alvarez-Jimenez

JMIR Ment Health 2025;12:e70160