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Uncovering Social States in Healthy and Clinical Populations Using Digital Phenotyping and Hidden Markov Models: Observational Study

Uncovering Social States in Healthy and Clinical Populations Using Digital Phenotyping and Hidden Markov Models: Observational Study

The probability distribution gives the probability that each hidden state will be the first hidden state, z1 is given by: Where π is the probability vector with elements πn ≡ p(z1n = 1). The transition probability gives the probability of switching into another hidden state from each state (or the probability of staying in the same state).

Imogen E Leaning, Andrea Costanzo, Raj Jagesar, Lianne M Reus, Pieter Jelle Visser, Martien J H Kas, Christian F Beckmann, Henricus G Ruhé, Andre F Marquand

J Med Internet Res 2025;27:e64007

Sex Differences in the Variability of Physical Activity Measurements Across Multiple Timescales Recorded by a Wearable Device: Observational Retrospective Cohort Study

Sex Differences in the Variability of Physical Activity Measurements Across Multiple Timescales Recorded by a Wearable Device: Observational Retrospective Cohort Study

Significant differences in the means of 24-hour MET sums existed between individuals in the weekend high cluster, weekend low cluster, and the patternless clusters (Kruskal-Wallis H=9.18; P=.01; Bonferroni-corrected significance threshold: P=.02; data not shown). The weekend high cluster had significantly larger mean 24-hour MET sums than the weekend low cluster and the patternless clusters (Dunn test, weekend high vs weekend low: P=.007; weekend high vs patternless: P=.01).

Kristin J Varner, Lauryn Keeler Bruce, Severine Soltani, Wendy Hartogensis, Stephan Dilchert, Frederick M Hecht, Anoushka Chowdhary, Leena Pandya, Subhasis Dasgupta, Ilkay Altintas, Amarnath Gupta, Ashley E Mason, Benjamin L Smarr

J Med Internet Res 2025;27:e66231

Technology-Based HIV Prevention Interventions for Men Who Have Sex With Men: Systematic Review and Meta-Analysis

Technology-Based HIV Prevention Interventions for Men Who Have Sex With Men: Systematic Review and Meta-Analysis

A meta-analysis of e Health interventions among men who have sex with men found a small but significant effect size for all 3 behavioral outcomes over the reviewed study period: any condomless anal intercourse with nonpaying male partners (Cohen d=−0.21; P We aimed to describe technology-based HIV prevention interventions among men who have sex with men and transgender women in China, document the intervention strategies, estimate intervention effects, and explore the relationships between intervention features

Wenting Huang, Daniel Stegmueller, Jason J Ong, Susan Schlueter Wirtz, Kunru Ning, Yuqing Wang, Guodong Mi, Fei Yu, Chenglin Hong, Jessica M Sales, Yufen Liu, Stefan D Baral, Patrick S Sullivan, Aaron J Siegler

J Med Internet Res 2025;27:e63111

Sustainability and Time Trends in Electronic Patient-Reported Outcome Assessment in Routine Cancer Care: Systematic Scoping Review and Follow-Up Survey

Sustainability and Time Trends in Electronic Patient-Reported Outcome Assessment in Routine Cancer Care: Systematic Scoping Review and Follow-Up Survey

The number of publications increased significantly over time (risk ratio 1.20, 95% CI 1.17-1.22, P The binomial logistic regression model for app use was statistically significant (OR 1.21, 95% CI 1.12-1.32, P Remote assessments were more frequently reported in recent years (OR 1.09, 95% CI 1.03-1.16, P=.002) with an increase of 9.4% per year. The likelihood of articles describing in-clinic assessments decreased by 8% per year (OR 0.92, 95% CI 0.87-0.97, P=.004).

Niclas J Hubel, Samuel M Vorbach, Kelly M de Ligt, Ines S Rathgeber, Katharina Beyer, Lisa M Wintner, Barbara Faller, Jasmin Nemec, Bernhard Holzner, Monika Sztankay, Jens Lehmann

J Med Internet Res 2025;27:e69398