Published on in Vol 4 , No 3 (2016) :Jul-Sept

An mHealth Intervention Using a Smartphone App to Increase Walking Behavior in Young Adults: A Pilot Study

An mHealth Intervention Using a Smartphone App to Increase Walking Behavior in Young Adults: A Pilot Study

An mHealth Intervention Using a Smartphone App to Increase Walking Behavior in Young Adults: A Pilot Study

Journals

  1. Schembre S, Liao Y, Robertson M, Dunton G, Kerr J, Haffey M, Burnett T, Basen-Engquist K, Hicklen R. Just-in-Time Feedback in Diet and Physical Activity Interventions: Systematic Review and Practical Design Framework. Journal of Medical Internet Research 2018;20(3):e106 View
  2. Guan Z, Sun L, Xiao Q, Wang Y. Constructing an assessment framework for the quality of asthma smartphone applications. BMC Medical Informatics and Decision Making 2019;19(1) View
  3. Kee F, Taylor-Robinson D. Scientific challenges for precision public health. Journal of Epidemiology and Community Health 2020;74(4):311 View
  4. Seifert A, Schlomann A, Rietz C, Schelling H. The use of mobile devices for physical activity tracking in older adults’ everyday life. DIGITAL HEALTH 2017;3:205520761774008 View
  5. Groarke J, Richmond J, Kelly M, McSharry J, Groarke A, Kerr T, Singaroyan N, Harney O, Haughey C, Glynn L, Masterson E, O Donnell A, Duffy K, Walsh J. Examining the Impact of a Personalized Self-Management Lifestyle Program Using Mobile Technology on the Health and Well-Being of Cancer Survivors: Protocol and Rationale for a Randomized Controlled Trial (The Moving On Study). JMIR Research Protocols 2019;8(8):e13214 View
  6. Petersen J, Prichard I, Kemps E. A Comparison of Physical Activity Mobile Apps With and Without Existing Web-Based Social Networking Platforms: Systematic Review. Journal of Medical Internet Research 2019;21(8):e12687 View
  7. Milne-Ives M, Lam C, De Cock C, Van Velthoven M, Meinert E. Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review. JMIR mHealth and uHealth 2020;8(3):e17046 View
  8. Soderlund P, Stuart G, Mueller M, York J, Lopez C. Feasibility of Motivational Interviewing and Physical Activity Counseling Sessions for Improving Physical Activity Self-Management for Latina Women Either at Risk for or Diagnosed With Type 2 Diabetes Mellitus. Journal of Transcultural Nursing 2019;30(5):453 View
  9. Pinder C, Vermeulen J, Cowan B, Beale R. Digital Behaviour Change Interventions to Break and Form Habits. ACM Transactions on Computer-Human Interaction 2018;25(3):1 View
  10. Feter N, dos Santos T, Caputo E, da Silva M. What is the role of smartphones on physical activity promotion? A systematic review and meta-analysis. International Journal of Public Health 2019;64(5):679 View
  11. Walsh J, Groarke J. Integrating Behavioral Science With Mobile (mHealth) Technology to Optimize Health Behavior Change Interventions. European Psychologist 2019;24(1):38 View
  12. Wang F, Boros S. Effects of a pedometer-based walking intervention on young adults’ sleep quality, stress and life satisfaction: Randomized controlled trial. Journal of Bodywork and Movement Therapies 2020;24(4):286 View
  13. Tu R, Hsieh P, Feng W. Walking for fun or for “likes”? The impacts of different gamification orientations of fitness apps on consumers’ physical activities. Sport Management Review 2019;22(5):682 View
  14. Gal R, May A, van Overmeeren E, Simons M, Monninkhof E. The Effect of Physical Activity Interventions Comprising Wearables and Smartphone Applications on Physical Activity: a Systematic Review and Meta-analysis. Sports Medicine - Open 2018;4(1) View
  15. McCallum C, Rooksby J, Gray C. Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review. JMIR mHealth and uHealth 2018;6(3):e58 View
  16. Eckerstorfer L, Tanzer N, Vogrincic-Haselbacher C, Kedia G, Brohmer H, Dinslaken I, Corcoran K. Key Elements of mHealth Interventions to Successfully Increase Physical Activity: Meta-Regression. JMIR mHealth and uHealth 2018;6(11):e10076 View
  17. Schlomann A, Seifert A, Rietz C. Relevance of Activity Tracking With Mobile Devices in the Relationship Between Physical Activity Levels and Satisfaction With Physical Fitness in Older Adults: Representative Survey. JMIR Aging 2019;2(1):e12303 View
  18. Poowuttikul P, Seth D. New Concepts and Technological Resources in Patient Education and Asthma Self-Management. Clinical Reviews in Allergy & Immunology 2020;59(1):19 View
  19. ALTIKARDEŞ Z, BAJGORA M, SARIKAYA U, DOĞAN B, FAK A. Yeni Bir Yaklaşımla Genç Bireylerde Kalp Sağlığı Takibi için Web ve Mobil Uygulama Geliştirilmesi. International Journal of Advances in Engineering and Pure Sciences 2019 View
  20. Hernández-Reyes A, Cámara-Martos F, Molina-Luque R, Moreno-Rojas R. Effect of an mHealth Intervention Using a Pedometer App With Full In-Person Counseling on Body Composition of Overweight Adults: Randomized Controlled Weight Loss Trial. JMIR mHealth and uHealth 2020;8(5):e16999 View
  21. Ball E, Newton S, Rohricht F, Steed L, Birch J, Dodds J, Cantalapiedra Calvete C, Taylor S, Rivas C. mHealth: providing a mindfulness app for women with chronic pelvic pain in gynaecology outpatient clinics: qualitative data analysis of user experience and lessons learnt. BMJ Open 2020;10(3):e030711 View
  22. Medagama A, Galgomuwa M, Silva C. Physical activity patterns and socio-demographic correlates of physical activity among medical undergraduates in Sri Lanka: an observational study. Postgraduate Medical Journal 2018;94(1107):32 View
  23. Covolo L, Ceretti E, Moneda M, Castaldi S, Gelatti U. Does evidence support the use of mobile phone apps as a driver for promoting healthy lifestyles from a public health perspective? A systematic review of Randomized Control Trials. Patient Education and Counseling 2017;100(12):2231 View
  24. Danaher J, Nyholm S, Earp B. The Quantified Relationship. The American Journal of Bioethics 2018;18(2):3 View
  25. Schoeppe S, Alley S, Van Lippevelde W, Bray N, Williams S, Duncan M, Vandelanotte C. Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1) View
  26. De Bruijn G, Dallinga J, Deutekom M. Predictors of Walking App Users With Comparison of Current Users, Previous Users, and Informed Nonusers in a Sample of Dutch Adults: Questionnaire Study. JMIR mHealth and uHealth 2021;9(5):e13391 View
  27. Byambasuren O, Sanders S, Beller E, Glasziou P. Prescribable mHealth apps identified from an overview of systematic reviews. npj Digital Medicine 2018;1(1) View
  28. Hernández-Reyes A, Cámara-Martos F, Molina Recio G, Molina-Luque R, Romero-Saldaña M, Moreno Rojas R. Push Notifications From a Mobile App to Improve the Body Composition of Overweight or Obese Women: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(2):e13747 View
  29. Sharkey T, Whatnall M, Hutchesson M, Haslam R, Bezzina A, Collins C, Ashton L. Effectiveness of gender-targeted versus gender-neutral interventions aimed at improving dietary intake, physical activity and/or overweight/obesity in young adults (aged 17–35 years): a systematic review and meta-analysis. Nutrition Journal 2020;19(1) View
  30. Pope Z, Gao Z. Feasibility of smartphone application- and social media-based intervention on college students’ health outcomes: A pilot randomized trial. Journal of American College Health 2020:1 View
  31. Busch L, Utesch T, Bürkner P, Strauss B. The Influence of Fitness-App Usage on Psychological Well-Being and Body Awareness—A Daily Diary Randomized Trial. Journal of Sport and Exercise Psychology 2020;42(3):249 View
  32. Wang F, Boros S. The effect of daily walking exercise on sleep quality in healthy young adults. Sport Sciences for Health 2021;17(2):393 View
  33. Liew S, Gorny A, Tan C, Müller-Riemenschneider F. A Mobile Health Team Challenge to Promote Stepping and Stair Climbing Activities: Exploratory Feasibility Study. JMIR mHealth and uHealth 2020;8(2):e12665 View
  34. Laranjo L, Ding D, Heleno B, Kocaballi B, Quiroz J, Tong H, Chahwan B, Neves A, Gabarron E, Dao K, Rodrigues D, Neves G, Antunes M, Coiera E, Bates D. Do smartphone applications and activity trackers increase physical activity in adults? Systematic review, meta-analysis and metaregression. British Journal of Sports Medicine 2021;55(8):422 View
  35. Busch L, Utesch T, Strauss B. Normalised step targets in fitness apps affect users’ autonomy need satisfaction, motivation and physical activity – a six-week RCT. International Journal of Sport and Exercise Psychology 2020:1 View
  36. Chaudhry U, Wahlich C, Fortescue R, Cook D, Knightly R, Harris T. The effects of step-count monitoring interventions on physical activity: systematic review and meta-analysis of community-based randomised controlled trials in adults. International Journal of Behavioral Nutrition and Physical Activity 2020;17(1) View
  37. Yan M, Filieri R, Raguseo E, Gorton M. Mobile apps for healthy living: Factors influencing continuance intention for health apps. Technological Forecasting and Social Change 2021;166:120644 View
  38. Hollander J, Folta S, Graves E, Allen J, Situ M. A Fitness App for Monitoring Walking Behavior and Perception (Runkeeper): Mixed Methods Pilot Study. JMIR Formative Research 2021;5(3):e22571 View
  39. Whatnall M, Sharkey T, Hutchesson M, Haslam R, Bezzina A, Collins C, Ashton L. Effectiveness of interventions and behaviour change techniques for improving physical activity in young adults: A systematic review and meta-analysis. Journal of Sports Sciences 2021;39(15):1754 View
  40. Caputo E, Feter N, Alberton C, Leite J, Rodrigues A, Dumith S, Silva M. Reliability of a smartphone application to measure physical activity. Research in Sports Medicine 2021:1 View
  41. Whatnall M, Hutchesson M, Sharkey T, Haslam R, Bezzina A, Collins C, Tzelepis F, Ashton L. Recruiting and retaining young adults: what can we learn from behavioural interventions targeting nutrition, physical activity and/or obesity? A systematic review of the literature. Public Health Nutrition 2021:1 View
  42. Soni M, Jain K, Jajodia I. Mobile health (mHealth) application loyalty in young consumers. Young Consumers 2021;22(3):429 View
  43. Groarke J, Richmond J, Mc Sharry J, Groarke A, Harney O, Kelly M, Walsh J. Acceptability of a Mobile Health Behavior Change Intervention for Cancer Survivors With Obesity or Overweight: Nested Mixed Methods Study Within a Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(2):e18288 View
  44. Walsh J, Richmond J, Mc Sharry J, Groarke A, Glynn L, Kelly M, Harney O, Groarke J. Examining the Impact of an mHealth Behavior Change Intervention With a Brief In-Person Component for Cancer Survivors With Overweight or Obesity: Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(7):e24915 View
  45. Kim H, Lee C, Lee S, Chung K. Effect of Group Contingency Type on Walking: Comparisons of Effectiveness and Cost Efficiency. Frontiers in Psychology 2021;12 View
  46. Domin A, Spruijt-Metz D, Theisen D, Ouzzahra Y, Vögele C. Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years. JMIR mHealth and uHealth 2021;9(7):e24308 View
  47. Tack C. A model of integrated remote monitoring and behaviour change for osteoarthritis. BMC Musculoskeletal Disorders 2021;22(1) View