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

Web-based and Mobile Health Interventions (3114) Mobile Health (mhealth) (2765) mHealth for Wellness, Behavior Change and Prevention (2743)

Published on in Vol 18, No 1 (2016): January

Impact of a Mobile Phone Intervention to Reduce Sedentary Behavior in a Community Sample of Adults: A Quasi-Experimental Evaluation

Impact of a Mobile Phone Intervention to Reduce Sedentary Behavior in a Community Sample of Adults: A Quasi-Experimental Evaluation

Impact of a Mobile Phone Intervention to Reduce Sedentary Behavior in a Community Sample of Adults: A Quasi-Experimental Evaluation

Authors of this article:

Darla E Kendzor1, 2 Author Orcid Image ;   Kerem Shuval3 Author Orcid Image ;   Kelley Pettee Gabriel4 Author Orcid Image ;   Michael S Businelle1, 2 Author Orcid Image ;   Ping Ma5 Author Orcid Image ;   Robin R High6 Author Orcid Image ;   Erica L Cuate7 Author Orcid Image ;   Insiya B Poonawalla7 Author Orcid Image ;   Debra M Rios7 Author Orcid Image ;   Wendy Demark-Wahnefried8 Author Orcid Image ;   Michael D Swartz9 Author Orcid Image ;   David W Wetter10 Author Orcid Image
Article Authors Cited by (31) Tweetations (50) Metrics

Journals

  1. Choi W, Park S, Kim D, Lim Y, Lee U. Multi-Stage Receptivity Model for Mobile Just-In-Time Health Intervention. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2019;3(2):1 View
  2. Allicock M, Kendzor D, Sedory A, Gabriel K, Swartz M, Thomas P, Yudkin J, Rivers A. A Pilot and Feasibility Mobile Health Intervention to Support Healthy Behaviors in African American Breast Cancer Survivors. Journal of Racial and Ethnic Health Disparities 2021;8(1):157 View
  3. Glowacka M, Yardley L, Stone N, Graham C. Feasibility and Preliminary Effectiveness of the Homework Intervention Strategy (eHIS) Program to Enhance Male Condom Use: Research Protocol. JMIR Research Protocols 2018;7(1):e1 View
  4. Knell G, Gabriel K, Businelle M, Shuval K, Wetter D, Kendzor D. Ecological Momentary Assessment of Physical Activity: Validation Study. Journal of Medical Internet Research 2017;19(7):e253 View
  5. Rollo S, Prapavessis H. A Combined Health Action Process Approach and mHealth Intervention to Increase Non‐Sedentary Behaviours in Office‐Working Adults—A Randomised Controlled Trial. Applied Psychology: Health and Well-Being 2020;12(3):660 View
  6. Lai A, Stewart S, Wan A, Thomas C, Tse J, Ho D, Chan S, Lam T. Development and feasibility of a brief Zero‐time Exercise intervention to reduce sedentary behaviour and enhance physical activity: A pilot trial. Health & Social Care in the Community 2019;27(4) View
  7. Businelle M, Ma P, Kendzor D, Frank S, Vidrine D, Wetter D. An Ecological Momentary Intervention for Smoking Cessation: Evaluation of Feasibility and Effectiveness. Journal of Medical Internet Research 2016;18(12):e321 View
  8. Griffith D, Bergner E, Cornish E, McQueen C. Physical Activity Interventions With African American or Latino Men: A Systematic Review. American Journal of Men's Health 2018;12(4):1102 View
  9. Reingle Gonzalez J, Businelle M, Kendzor D, Staton M, North C, Swartz M. Using mHealth to Increase Treatment Utilization Among Recently Incarcerated Homeless Adults (Link2Care): Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2018;7(6):e151 View
  10. Arrogi A, Bogaerts A, Seghers J, Devloo K, Vanden Abeele V, Geurts L, Wauters J, Boen F. Evaluation of stAPP: a smartphone-based intervention to reduce prolonged sitting among Belgian adults. Health Promotion International 2019;34(1):16 View
  11. Povolotskiy R, Paskhover B. Head and Neck Injuries Associated With Cell Phone Use—Reply. JAMA Otolaryngology–Head & Neck Surgery 2020;146(5):506 View
  12. Blackburne T, Rodriguez A, Johnstone S. A Serious Game to Increase Healthy Food Consumption in Overweight or Obese Adults: Randomized Controlled Trial. JMIR Serious Games 2016;4(2):e10 View
  13. Roberts J, Rodkey L, Ray R, Knight B, Saelens B. Electronic media time and sedentary behaviors in children: Findings from the Built Environment and Active Play Study in the Washington DC area. Preventive Medicine Reports 2017;6:149 View
  14. Takemoto M, Lewars B, Hurst S, Crist K, Nebeker C, Madanat H, Nichols J, Rosenberg D, Kerr J. Participants’ Perceptions on the Use of Wearable Devices to Reduce Sitting Time: Qualitative Analysis. JMIR mHealth and uHealth 2018;6(3):e73 View
  15. Muench F, Baumel A. More Than a Text Message: Dismantling Digital Triggers to Curate Behavior Change in Patient-Centered Health Interventions. Journal of Medical Internet Research 2017;19(5):e147 View
  16. Shuval K, Leonard T, Drope J, Katz D, Patel A, Maitin‐Shepard M, Amir O, Grinstein A. Physical activity counseling in primary care: Insights from public health and behavioral economics. CA: A Cancer Journal for Clinicians 2017;67(3):233 View
  17. Opoku Asare K, Terhorst Y, Vega J, Peltonen E, Lagerspetz E, Ferreira D. Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory Study. JMIR mHealth and uHealth 2021;9(7):e26540 View
  18. Chastin S, Gardiner P, Harvey J, Leask C, Jerez-Roig J, Rosenberg D, Ashe M, Helbostad J, Skelton D. Interventions for reducing sedentary behaviour in community-dwelling older adults. Cochrane Database of Systematic Reviews 2021;2021(6) View
  19. Nayak M, Wills K, Teychenne M, Cleland V. Impacts of life-events on sitting, TV viewing and computer use among women from disadvantaged neighbourhoods. BMC Public Health 2022;22(1) View
  20. Garey L, Zvolensky M, Gallagher M, Vujanovic A, Kendzor D, Stephens L, Cheney M, Cole A, Kezbers K, Matoska C, Robison J, Montgomery A, Zappi C, Businelle M. A Smartphone-Based Intervention for Anxiety and Depression in Racially and Ethnically Diverse Adults (EASE): Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022;11(12):e40713 View
  21. Segura-Jiménez V, Biddle S, De Cocker K, Khan S, Gavilán-Carrera B. Where Does the Time Go? Displacement of Device-Measured Sedentary Time in Effective Sedentary Behaviour Interventions: Systematic Review and Meta-Analysis. Sports Medicine 2022;52(9):2177 View
  22. Businelle M, Garey L, Gallagher M, Hébert E, Vujanovic A, Alexander A, Kezbers K, Matoska C, Robison J, Montgomery A, Zvolensky M. An Integrated mHealth App for Smoking Cessation in Black Smokers With Anxiety: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022;11(5):e38905 View
  23. Thraen-Borowski K, Ellingson L, Meyer J, Cadmus-Bertram L. Nonworksite Interventions to Reduce Sedentary Behavior among Adults: A Systematic Review. Translational Journal of the American College of Sports Medicine 2017;2(12):68 View
  24. LeBlanc A, Gunnell K, Prince S, Saunders T, Barnes J, Chaput J. The Ubiquity of the Screen: An Overview of the Risks and Benefits of Screen Time in Our Modern World. Translational Journal of the American College of Sports Medicine 2017;2(17):104 View
  25. Bizier A, Jones A, Businelle M, Kezbers K, Hoeppner B, Giordano T, Thai J, Charles J, Montgomery A, Gallagher M, Cheney M, Zvolensky M, Garey L. An Integrated mHealth App for Smoking Cessation in Black Smokers With HIV: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2024;13:e52090 View
  26. Koslovsky M, Pettee Gabriel K, Businelle M, Wetter D, Kendzor D. Dynamic Functional Variable Selection for Multimodal mHealth Data. Bayesian Analysis 2024;-1(-1) View
  27. Loder A, van Poppel M. Associations of smart device apps with and without a perceived self-efficacy component in a physical activity context with BMI. Journal of Health Psychology 2024 View

Books/Policy Documents

  1. Biddle S. Sedentary Behaviour Epidemiology. View
  2. Prince S. Sedentary Behaviour Epidemiology. View
  3. Prince S. Sedentary Behaviour Epidemiology. View