Published on in Vol 4, No 2 (2015): Apr-Jun
Journals
- Mantey D, Pasch K, Loukas A, Perry C. Exposure to Point-of-Sale Marketing of Cigarettes and E-Cigarettes as Predictors of Smoking Cessation Behaviors. Nicotine & Tobacco Research 2019;21(2):212 View
- Silverman-Lloyd L, Kianoush S, Blaha M, Sabina A, Graham G, Martin S. mActive-Smoke: A Prospective Observational Study Using Mobile Health Tools to Assess the Association of Physical Activity With Smoking Urges. JMIR mHealth and uHealth 2018;6(5):e121 View
- Comulada W, Tang W, Swendeman D, Cooper A, Wacksman J. Development of an Electronic Data Collection System to Support a Large-Scale HIV Behavioral Intervention Trial: Protocol for an Electronic Data Collection System. JMIR Research Protocols 2018;7(12):e10777 View
- Rose S, Anesetti-Rothermel A, Elmasry H, Niaura R. Young adult non-smokers’ exposure to real-world tobacco marketing: results of an ecological momentary assessment pilot study. BMC Research Notes 2017;10(1) View
- Borzekowski D, Chen J. Tobacco cues in India: An ecological momentary assessment. Tobacco Induced Diseases 2016;14(1) View
- Davis T, DiClemente R, Prietula M. Taking mHealth Forward: Examining the Core Characteristics. JMIR mHealth and uHealth 2016;4(3):e97 View
- Pike J, Xie B, Tan N, Sabado-Liwag M, Orne A, Toilolo T, Cen S, May V, Lee C, Pang V, Rainer M, Vaivao D, Lepule J, Tanjasiri S, Palmer P. Developing an Internet- and Mobile-Based System to Measure Cigarette Use Among Pacific Islanders: An Ecological Momentary Assessment Study. JMIR mHealth and uHealth 2016;4(1):e2 View
- Mantey D, Clendennen S, Pasch K, Loukas A, Perry C. Marketing exposure and smokeless tobacco use initiation among young adults: A longitudinal analysis. Addictive Behaviors 2019;99:106014 View
- Hoque M, Rahman M, Nipa N, Hasan M. Mobile health interventions in developing countries: A systematic review. Health Informatics Journal 2020;26(4):2792 View
- Mennis J, Mason M, Ambrus A, Way T, Henry K. The spatial accuracy of geographic ecological momentary assessment (GEMA): Error and bias due to subject and environmental characteristics. Drug and Alcohol Dependence 2017;178:188 View
- Duncan D, Goedel W, Williams J, Elbel B. Acceptability of smartphone text- and voice-based ecological momentary assessment (EMA) methods among low income housing residents in New York City. BMC Research Notes 2017;10(1) View
- Gower A, Moreno M. A Novel Approach to Evaluating Mobile Smartphone Screen Time for iPhones: Feasibility and Preliminary Findings. JMIR mHealth and uHealth 2018;6(11):e11012 View
- Paterson C, Primeau C, Lauder W. What Are the Experiences of Men Affected by Prostate Cancer Participating in an Ecological Momentary Assessment Study?. Cancer Nursing 2020;43(4):300 View
- Cummins K, Brumback T, Chung T, Moore R, Henthorn T, Eberson S, Lopez A, Sarkissyan T, Nooner K, Brown S, Tapert S. Acceptability, Validity, and Engagement With a Mobile App for Frequent, Continuous Multiyear Assessment of Youth Health Behaviors (mNCANDA): Mixed Methods Study. JMIR mHealth and uHealth 2021;9(2):e24472 View
- Trang K, Le L, Brown C, To M, Sullivan P, Jovanovic T, Worthman C, Giang L. Feasibility, Acceptability, and Design of a Mobile Ecological Momentary Assessment for High-Risk Men Who Have Sex With Men in Hanoi, Vietnam: Qualitative Study. JMIR Formative Research 2022;6(1):e30360 View
- van Berkel N, D’Alfonso S, Kurnia Susanto R, Ferreira D, Kostakos V. AWARE-Light: a smartphone tool for experience sampling and digital phenotyping. Personal and Ubiquitous Computing 2023;27(2):435 View
- Liu C, Wang Y. Does ICT Usage Have a Positive or Negative Effect on Taiwanese Older Adults’ Emotional Experiences? The Moderating Role of Basic Psychological Needs Satisfaction. Journal of Intelligence 2023;11(3):46 View