Literature DB >> 26086033

Mobile and Wireless Technologies in Health Behavior and the Potential for Intensively Adaptive Interventions.

William T Riley1, Katrina J Serrano1, Wendy Nilsen2, Audie A Atienza1.   

Abstract

Recent advances in mobile and wireless technologies have made real-time assessments of health behaviors and their influences possible with minimal respondent burden. These tech-enabled real-time assessments provide the basis for intensively adaptive interventions (IAIs). Evidence of such studies that adjust interventions based on real-time inputs is beginning to emerge. Although IAIs are promising, the development of intensively adaptive algorithms generate new research questions, and the intensive longitudinal data produced by IAIs require new methodologies and analytic approaches. Research considerations and future directions for IAIs in health behavior research are provided.

Entities:  

Year:  2015        PMID: 26086033      PMCID: PMC4465113          DOI: 10.1016/j.copsyc.2015.03.024

Source DB:  PubMed          Journal:  Curr Opin Psychol        ISSN: 2352-250X


  30 in total

Review 1.  Computer-tailored smoking cessation materials: a review and discussion.

Authors:  V J Strecher
Journal:  Patient Educ Couns       Date:  1999-02

2.  Clinical evaluation of a myofeedback-based teletreatment service applied in the workplace: a randomized controlled trial.

Authors:  Leif Sandsjö; Pernilla Larsman; Rianne M H A Huis in 't Veld; Miriam M R Vollenbroek-Hutten
Journal:  J Telemed Telecare       Date:  2010       Impact factor: 6.184

3.  Internet and mobile phone text messaging intervention for college smokers.

Authors:  William Riley; Jami Obermayer; Jersino Jean-Mary
Journal:  J Am Coll Health       Date:  2008 Sep-Oct

4.  Validation of an accelerometer-based fall prediction model.

Authors:  Ying Liu; Stephen J Redmond; Tal Shany; Jane Woolgar; Michael R Narayanan; Stephen R Lord; Nigel H Lovell
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

5.  Providers working with Apple on smartwatch to connect with patients.

Authors:  Darius Tahir
Journal:  Mod Healthc       Date:  2014-09-15

6.  Evaluating individual intervention components: making decisions based on the results of a factorial screening experiment.

Authors:  Linda M Collins; Jessica B Trail; Kari C Kugler; Timothy B Baker; Megan E Piper; Robin J Mermelstein
Journal:  Transl Behav Med       Date:  2014-09       Impact factor: 3.046

Review 7.  Health behavior models in the age of mobile interventions: are our theories up to the task?

Authors:  William T Riley; Daniel E Rivera; Audie A Atienza; Wendy Nilsen; Susannah M Allison; Robin Mermelstein
Journal:  Transl Behav Med       Date:  2011-03       Impact factor: 3.046

Review 8.  Past, present, and future of computer-tailored nutrition education.

Authors:  Johannes Brug; Anke Oenema; Marci Campbell
Journal:  Am J Clin Nutr       Date:  2003-04       Impact factor: 7.045

9.  A staged approach evaluation of remotely supervised myofeedback treatment (RSMT) in women with neck-shoulder pain due to computer work.

Authors:  Rianne M H A Huis in't Veld; Barbara C H Huijgen; Leendert Schaake; Hermie J Hermens; Miriam M R Vollenbroek-Hutten
Journal:  Telemed J E Health       Date:  2008-08       Impact factor: 3.536

10.  Rapid, responsive, relevant (R3) research: a call for a rapid learning health research enterprise.

Authors:  William T Riley; Russell E Glasgow; Lynn Etheredge; Amy P Abernethy
Journal:  Clin Transl Med       Date:  2013-05-10
View more
  27 in total

1.  The Promise of Prevention Science for Addressing Intergenerational Poverty.

Authors:  Mark Van Ryzin; Diana Fishbein; Anthony Biglan
Journal:  Psychol Public Policy Law       Date:  2017-07-20

2.  Momentary assessment of physical activity intention-behavior coupling in adults.

Authors:  Jaclyn P Maher; Ryan E Rhodes; Eldin Dzubur; Jimi Huh; Stephen Intille; Genevieve F Dunton
Journal:  Transl Behav Med       Date:  2017-12       Impact factor: 3.046

3.  Development of a Control-Oriented Model of Social Cognitive Theory for Optimized mHealth Behavioral Interventions.

Authors:  César A Martín; Daniel E Rivera; Eric B Hekler; William T Riley; Matthew P Buman; Marc A Adams; Alicia B Magann
Journal:  IEEE Trans Control Syst Technol       Date:  2018-11-12       Impact factor: 5.485

4.  Development of a dynamic computational model of social cognitive theory.

Authors:  William T Riley; Cesar A Martin; Daniel E Rivera; Eric B Hekler; Marc A Adams; Matthew P Buman; Misha Pavel; Abby C King
Journal:  Transl Behav Med       Date:  2016-12       Impact factor: 3.046

5.  Integrating knowledge across domains to advance the science of health behavior: overcoming challenges and facilitating success.

Authors:  William M P Klein; Emily G Grenen; Mary O'Connell; Danielle Blanch-Hartigan; Wen-Ying Sylvia Chou; Kara L Hall; Jennifer M Taber; Amanda L Vogel
Journal:  Transl Behav Med       Date:  2017-03       Impact factor: 3.046

6.  Adaptive step goals and rewards: a longitudinal growth model of daily steps for a smartphone-based walking intervention.

Authors:  Elizabeth V Korinek; Sayali S Phatak; Cesar A Martin; Mohammad T Freigoun; Daniel E Rivera; Marc A Adams; Pedja Klasnja; Matthew P Buman; Eric B Hekler
Journal:  J Behav Med       Date:  2017-09-16

7.  A technology-augmented intervention to prevent peer violence and depressive symptoms among at-risk emergency department adolescents: Protocol for a randomized control trial.

Authors:  Megan L Ranney; John V Patena; Shira Dunsiger; Anthony Spirito; Rebecca M Cunningham; Edward Boyer; Nicole R Nugent
Journal:  Contemp Clin Trials       Date:  2019-05-23       Impact factor: 2.226

Review 8.  Technology Interventions to Manage Food Intake: Where Are We Now?

Authors:  Margaret Allman-Farinelli; Luke Gemming
Journal:  Curr Diab Rep       Date:  2017-09-23       Impact factor: 4.810

Review 9.  Technology-Based Interventions to Reduce Sexually Transmitted Infections and Unintended Pregnancy Among Youth.

Authors:  Laura Widman; Jacqueline Nesi; Kristyn Kamke; Sophia Choukas-Bradley; J L Stewart
Journal:  J Adolesc Health       Date:  2018-06       Impact factor: 5.012

10.  A Markov approach for increasing precision in the assessment of data-intensive behavioral interventions.

Authors:  Vincent Berardi; Ricardo Carretero-González; John Bellettiere; Marc A Adams; Suzanne Hughes; Melbourne Hovell
Journal:  J Biomed Inform       Date:  2018-07-31       Impact factor: 6.317

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.