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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

(F) Lower socially active dwell time in AD versus HCs, and an interaction between socially active dwell time and AD when predicting social functioning, were observed. AD: Alzheimer disease; HC: healthy control; SCC: subjective cognitive complaints; SZ: schizophrenia; S1: state 1; S2: state 2; zt: hidden state at time point, t. Where we use “1-hot” encoding for the latent variable, such that ztn=1 if the latent variable at time t belongs to the class n, and 0 otherwise.

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

Longitudinal plot of a representative 3-week interval of minute-level metabolic equivalent of task (MET) data (left) from (A) 1 female individual (F, blue) and (B) 1 male individual (M, red), with the histogram of the MET values for each separated by awake (light) and asleep (dark) values (right). MET values were examined at minute-level resolution.

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

A Social Media Study of Portrayals of Bipolar Disorders on YouTube: Content and Thematic Analyses

A Social Media Study of Portrayals of Bipolar Disorders on YouTube: Content and Thematic Analyses

List of examples of paraphrased excerpts from the testimonies portraying bipolar disorder in You Tube videosa. a Theme A: Reactions on diagnosis, treatment and health care professionals’ expertise; Theme B: Trial and error in medication; Theme C: Positive effects of bipolar; Theme D: Disability, stigma and shame; Theme E: Loss; Theme F: Family planning and genetics; Theme G: Identity change (psychological and physical); and Theme H: Human social relationships.

Eric Mayor, Lucas M Bietti

J Med Internet Res 2025;27:e67129