Published on in Vol 6, No 9 (2018): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9378, first published .
Longitudinal Validity and Reliability of Brief Smartphone Self-Monitoring of Diet, Stress, and Physical Activity in a Diverse Sample of Mothers

Longitudinal Validity and Reliability of Brief Smartphone Self-Monitoring of Diet, Stress, and Physical Activity in a Diverse Sample of Mothers

Longitudinal Validity and Reliability of Brief Smartphone Self-Monitoring of Diet, Stress, and Physical Activity in a Diverse Sample of Mothers

Journals

  1. Swendeman D, Arnold E, Harris D, Fournier J, Comulada W, Reback C, Koussa M, Ocasio M, Lee S, Kozina L, Fernández M, Rotheram M. Text-Messaging, Online Peer Support Group, and Coaching Strategies to Optimize the HIV Prevention Continuum for Youth: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2019;8(8):e11165 View
  2. Faurholt-Jepsen M, Þórarinsdóttir H, Vinberg M, Ullum H, Frost M, Bardram J, Kessing L. Automatically generated smartphone data and subjective stress in healthy individuals – a pilot study. Nordic Journal of Psychiatry 2020;74(4):293 View
  3. Katapally T, Chu L. Digital epidemiological and citizen science methodology to capture prospective physical activity in free-living conditions: a SMART Platform study. BMJ Open 2020;10(6):e036787 View
  4. Comulada W, Swendeman D, Rezai R, Ramanathan N. Time Series Visualizations of Mobile Phone-Based Daily Diary Reports of Stress, Physical Activity, and Diet Quality in Mostly Ethnic Minority Mothers: Feasibility Study. JMIR Formative Research 2018;2(2):e11062 View
  5. Lozano-Lozano M, Cantarero-Villanueva I, Martin-Martin L, Galiano-Castillo N, Sanchez M, Fernández-Lao C, Postigo-Martin P, Arroyo-Morales M. A Mobile System to Improve Quality of Life Via Energy Balance in Breast Cancer Survivors (BENECA mHealth): Prospective Test-Retest Quasiexperimental Feasibility Study. JMIR mHealth and uHealth 2019;7(6):e14136 View
  6. Alberts N, Badawy S, Hodges J, Estepp J, Nwosu C, Khan H, Smeltzer M, Homayouni R, Norell S, Klesges L, Porter J, Hankins J. Development of the InCharge Health Mobile App to Improve Adherence to Hydroxyurea in Patients With Sickle Cell Disease: User-Centered Design Approach. JMIR mHealth and uHealth 2020;8(5):e14884 View
  7. Mendez D, Sanders S, Lai Y, Wallace M, Rathbun S, Gary‐Webb T, Davis E, Burke L. Ecological momentary assessment of stress, racism and other forms of discrimination during pregnancy using smartphone technology. Paediatric and Perinatal Epidemiology 2020;34(5):522 View
  8. Chu Y, Cheng Y, Lai Y, Tsao Y, Tu T, Young S, Chen T, Chung Y, Lai F, Liao W. A Mobile Phone–Based Approach for Hearing Screening of School-Age Children: Cross-Sectional Validation Study. JMIR mHealth and uHealth 2019;7(4):e12033 View
  9. Swendeman D, Sumstine S, Aguilar E, Gorbach P, Comulada W, Gelberg L. Feasibility and Acceptability of Mobile Phone Self-monitoring and Automated Feedback to Enhance Telephone Coaching for People With Risky Substance Use: The QUIT-Mobile Pilot Study. Journal of Addiction Medicine 2021;15(2):120 View
  10. Thornton L, Osman B, Champion K, Green O, Wescott A, Gardner L, Stewart C, Visontay R, Whife J, Parmenter B, Birrell L, Bryant Z, Chapman C, Lubans D, Slade T, Torous J, Teesson M, Van de Ven P. Measurement Properties of Smartphone Approaches to Assess Diet, Alcohol Use, and Tobacco Use: Systematic Review. JMIR mHealth and uHealth 2022;10(2):e27337 View
  11. Ensari I, Lipsky-Gorman S, Horan E, Bakken S, Elhadad N. Associations between physical exercise patterns and pain symptoms in individuals with endometriosis: a cross-sectional mHealth-based investigation. BMJ Open 2022;12(7):e059280 View
  12. Battaglia B, Lee L, Jia S, Partridge S, Allman-Farinelli M. The Use of Mobile-Based Ecological Momentary Assessment (mEMA) Methodology to Assess Dietary Intake, Food Consumption Behaviours and Context in Young People: A Systematic Review. Healthcare 2022;10(7):1329 View