This paper is in the following e-collection/theme issue:

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1065) mHealth for Wellness, Behavior Change and Prevention (2342) Fitness Trackers and Smart Pedometers/Accelerometers (501) mHealth for Data Collection and Research (699) HIV/AIDS/STI Prevention and Care (684)

Published on in Vol 10 , No 4 (2022) :April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33938, first published .
Low- and High-Intensity Physical Activity Among People with HIV: Multilevel Modeling Analysis Using Sensor- and Survey-Based Predictors

Low- and High-Intensity Physical Activity Among People with HIV: Multilevel Modeling Analysis Using Sensor- and Survey-Based Predictors

Low- and High-Intensity Physical Activity Among People with HIV: Multilevel Modeling Analysis Using Sensor- and Survey-Based Predictors

Authors of this article:

Paul Cook 1 Author Orcid Image ;   Catherine Jankowski 1 Author Orcid Image ;   Kristine M Erlandson 2 Author Orcid Image ;   Blaine Reeder 3 Author Orcid Image ;   Whitney Starr 2 Author Orcid Image ;   Mary Beth Flynn Makic 1 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Bittel K, O'Briant K, Ragaglia R, Buseth L, Murtha C, Yu J, Stanely J, Hudgins B, Hevel D, Maher J. Associations Between Social Cognitive Determinants and Movement-Related Behaviors in Studies Using Ecological Momentary Assessment Methods: Systematic Review. JMIR mHealth and uHealth 2023;11:e44104 View
  2. Turner J, Chow J, Cheng J, Hassanali F, Sevigny H, Sperduti M, Chan Carusone S, Dagenais M, O'Brien K. Wireless physical activity monitor use among adults living with HIV in a community-based exercise intervention study: a quantitative, longitudinal, observational study. BMJ Open 2023;13(4):e068754 View