Mobile and wireless technologies in health behavior and the potential for intensively adaptive interventions

Stone, 2007 Shiffman, 2008, Ecological momentary assessment, Annu Rev Clin Psychol, 4, 1, 10.1146/annurev.clinpsy.3.022806.091415 Troiano, 2014, Evolution of accelerometer methods for physical activity research, Br J Sports Med, 48, 1019, 10.1136/bjsports-2014-093546 Kumar, 2013, Mobile health: revolutionizing healthcare through transdisciplinary research, Computer, 46, 28, 10.1109/MC.2012.392 U.S. Department of Health and Human Services Food and Drug Administration, 2013, 1740 2012 Jeong, 2014, Capacitive epidermal electronics for electrically safe, long-term electrophysiological measurements, Adv Healthcare Mater, 3, 642, 10.1002/adhm.201300334 Tahir, 2014, Providers working with Apple on smartwatch to connect with patients, Mod Healthcare, 44, 14 Strecher, 1999, Computer-tailored smoking cessation materials: a review and discussion, Patient Educ Couns, 36, 107, 10.1016/S0738-3991(98)00128-1 Collins, 2004, A conceptual framework for adaptive preventive interventions, Prev Sci, 5, 185, 10.1023/B:PREV.0000037641.26017.00 Almirall, 2014, Introduction to SMART designs for the development of adaptive interventions: with application to weight loss research, Transl Behav Med, 4, 260, 10.1007/s13142-014-0265-0 Intille, 2003, Just-in-time technology to encourage incremental, dietary behavior change, AMIA Annu Symp Proc, 874 Heron, 2010, Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments, Br J Health Psychol, 15, 1, 10.1348/135910709X466063 Patrick, 2005, An ecological framework for cancer communication: implications for research, J Med Internet Res, 7, e23, 10.2196/jmir.7.3.e23 Riley, 2011, Health behavior models in the age of mobile interventions: are our theories up to the task?, Transl Behav Med, 1, 53, 10.1007/s13142-011-0021-7 Riley, 2008, Internet and mobile phone text messaging intervention for college smokers, J Am Coll Health, 57, 245, 10.3200/JACH.57.2.245-248 Riley, 2002, Computer and manual self-help behavioral strategies for smoking reduction: initial feasibility and one-year follow-up, Nicotine Tob Res, 4, S183, 10.1080/1462220021000032762 Adams, 2013, An adaptive physical activity intervention for overweight adults: a randomized controlled trial, PLOS ONE, 8, e82901, 10.1371/journal.pone.0082901 Hermens, 2014, Personalized Coaching Systems to support healthy behavior in people with chronic conditions, J Electromyogr Kinesiol, 24, 815, 10.1016/j.jelekin.2014.10.003 Sandsjo, 2010, Clinical evaluation of a myofeedback-based teletreatment service applied in the workplace: a randomized controlled trial, J Telemed Telecare, 16, 329, 10.1258/jtt.2010.006007 Kosterink, 2010, The clinical effectiveness of a myofeedback-based teletreatment service in patients with non-specific neck and shoulder pain: a randomized controlled trial, J Telemed Telecare, 16, 316, 10.1258/jtt.2010.006005 Huis in’t Veld, 2008, A staged approach evaluation of remotely supervised myofeedback treatment (RSMT) in women with neck-shoulder pain due to computer work, Telemed J E Health, 14, 545, 10.1089/tmj.2007.0090 Broekhuizen, 2012, A systematic review of randomized controlled trials on the effectiveness of computer-tailored physical activity and dietary behavior promotion programs: an update, Ann Behav Med, 44, 259, 10.1007/s12160-012-9384-3 Brug, 2003, Past, present, and future of computer-tailored nutrition education, Am J Clin Nutr, 77, 1028S, 10.1093/ajcn/77.4.1028S Riley, 2015, Theoretical models to inform technology-based health behavior interventions Smith, 2014, Adolescents just do not know what they want: a qualitative study to describe obese adolescents’ experiences of text messaging to support behavior change maintenance post intervention, J Med Internet Res, 16, e103, 10.2196/jmir.3113 Bagala, 2012, Evaluation of accelerometer-based fall detection algorithms on real-world falls, PLoS ONE, 7, e37062, 10.1371/journal.pone.0037062 Ying, 2014, Validation of an accelerometer-based fall prediction model, Conf Proc IEEE Eng Med Biol Soc, 2014, 4531 Timms, 2014, A hybrid model predictive control strategy for optimizing a smoking cessation intervention, Proc Am Control Conf, 2014, 2389 Lanza, 2014, Advancing the understanding of craving during smoking cessation attempts: a demonstration of the time-varying effect model, Nicotine Tob Res, 16, S127, 10.1093/ntr/ntt128 Hedeker, 2012, Modeling between-subject and within-subject variances in ecological momentary assessment data using mixed-effects location scale models, Stat Med, 31, 3328, 10.1002/sim.5338 Riley, 2013, Rapid, responsive, relevant (R3) research: a call for a rapid learning health research enterprise, Clin Transl Med, 2, 10, 10.1186/2001-1326-2-10 Riley, 2014, Methodologies for optimizing behavioral interventions: introduction to special section, Transl Behav Med, 4, 234, 10.1007/s13142-014-0281-0 Collins, 2014, Evaluating individual intervention components: making decisions based on the results of a factorial screening experiment, Transl Behav Med, 4, 238, 10.1007/s13142-013-0239-7 Liao, 2015, 537 Savage, 2014, Control systems engineering for optimizing a prenatal weight gain intervention to regulate infant birth weight, Am J Public Health, 104, 1247, 10.2105/AJPH.2014.301959