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Citing this Article

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Published on 20.04.12 in Vol 14, No 2 (2012): Mar-Apr

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

Works citing "Using Smartphone Technology to Monitor Physical Activity in the 10,000 Steps Program: A Matched Case–Control Trial"

Morwenna Kirwan, Mitch J Duncan, Corneel Vandelanotte, W Kerry Mummery

J Med Internet Res 2012 (Apr 20); 14(2):e55 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1950):

(note that this is only a small subset of citations)

  1. Vandelanotte C, Kirwan M, Rebar A, Alley S, Short C, Fallon L, Buzza G, Schoeppe S, Maher C, Duncan MJ. Examining the use of evidence-based and social media supported tools in freely accessible physical activity intervention websites. International Journal of Behavioral Nutrition and Physical Activity 2014;11(1)
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  4. Middelweerd A, van der Laan DM, van Stralen MM, Mollee JS, Stuij M, te Velde SJ, Brug J. What features do Dutch university students prefer in a smartphone application for promotion of physical activity? A qualitative approach. International Journal of Behavioral Nutrition and Physical Activity 2015;12(1)
    CrossRef
  5. Wright SP, Hall Brown TS, Collier SR, Sandberg K. How consumer physical activity monitors could transform human physiology research. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 2017;312(3):R358
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  6. Pang B, Kubacki K, Rundle-Thiele S. Promoting active travel to school: a systematic review (2010–2016). BMC Public Health 2017;17(1)
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  7. Hamamatsu Y, Ide H, Kakinuma M, Furui Y. Maintaining Physical Activity Level Through Team-Based Walking With a Mobile Health Intervention: Cross-Sectional Observational Study. JMIR mHealth and uHealth 2020;8(7):e16159
    CrossRef
  8. McKay FH, Slykerman S, Dunn M. The App Behavior Change Scale: Creation of a Scale to Assess the Potential of Apps to Promote Behavior Change. JMIR mHealth and uHealth 2019;7(1):e11130
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  10. Cabrita M, op den Akker H, Tabak M, Hermens HJ, Vollenbroek-Hutten MM. Persuasive technology to support active and healthy ageing: An exploration of past, present, and future. Journal of Biomedical Informatics 2018;84:17
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  11. Steinert A, Haesner M, Steinhagen-Thiessen E. App-basiertes Selbstmonitoring bei Typ-2-Diabetes. Zeitschrift für Gerontologie und Geriatrie 2017;50(6):516
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  12. Payne HE, Moxley VB, MacDonald E. Health Behavior Theory in Physical Activity Game Apps: A Content Analysis. JMIR Serious Games 2015;3(2):e4
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  13. Tong HL, Coiera E, Tong W, Wang Y, Quiroz JC, Martin P, Laranjo L. Efficacy of a Mobile Social Networking Intervention in Promoting Physical Activity: Quasi-Experimental Study. JMIR mHealth and uHealth 2019;7(3):e12181
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  14. Jiang Y, Sereika S, DeVito Dabbs A, Handler S, Schlenk E. Acceptance and Use of Mobile Technology for Health Self-Monitoring in Lung Transplant Recipients during the First Year Post-Transplantation. Applied Clinical Informatics 2016;07(02):430
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  15. Goodman S, Morrongiello B, Meckling K. A randomized, controlled trial evaluating the efficacy of an online intervention targeting vitamin D intake, knowledge and status among young adults. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1)
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  16. Flores Mateo G, Granado-Font E, Ferré-Grau C, Montaña-Carreras X. Mobile Phone Apps to Promote Weight Loss and Increase Physical Activity: A Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2015;17(11):e253
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  17. Dean DAL, Griffith DM, McKissic SA, Cornish EK, Johnson-Lawrence V. Men on the Move–Nashville: Feasibility and Acceptability of a Technology-Enhanced Physical Activity Pilot Intervention for Overweight and Obese Middle and Older Age African American Men. American Journal of Men's Health 2018;12(4):798
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  18. Alonso-Domínguez R, Patino-Alonso MC, Sánchez-Aguadero N, García-Ortiz L, Recio-Rodríguez JI, Gómez-Marcos MA. Effect of a multifactorial intervention on the increase in physical activity in subjects with type 2 diabetes mellitus: a randomized clinical trial (EMID Study). European Journal of Cardiovascular Nursing 2019;18(5):399
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  19. Hino K, Asami Y, Lee JS. Step Counts of Middle-Aged and Elderly Adults for 10 Months Before and After the Release of Pokémon GO in Yokohama, Japan. Journal of Medical Internet Research 2019;21(2):e10724
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  20. Short CE, Vandelanotte C, Dixon MW, Rosenkranz R, Caperchione C, Hooker C, Karunanithi M, Kolt GS, Maeder A, Ding H, Taylor P, Duncan MJ. Examining Participant Engagement in an Information Technology-Based Physical Activity and Nutrition Intervention for Men: The Manup Randomized Controlled Trial. JMIR Research Protocols 2014;3(1):e2
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  21. Wang J, Wang Y, Wei C, Yao N, Yuan A, Shan Y, Yuan C. Smartphone Interventions for Long-Term Health Management of Chronic Diseases: An Integrative Review. Telemedicine and e-Health 2014;20(6):570
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  22. Guertler D, Vandelanotte C, Kirwan M, Duncan MJ. Engagement and Nonusage Attrition With a Free Physical Activity Promotion Program: The Case of 10,000 Steps Australia. Journal of Medical Internet Research 2015;17(7):e176
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  23. Melton BF, Buman MP, Vogel RL, Harris BS, Bigham LE. Wearable Devices to Improve Physical Activity and Sleep. Journal of Black Studies 2016;47(6):610
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  24. Morrison LG, Hargood C, Lin SX, Dennison L, Joseph J, Hughes S, Michaelides DT, Johnston D, Johnston M, Michie S, Little P, Smith PW, Weal MJ, Yardley L. Understanding Usage of a Hybrid Website and Smartphone App for Weight Management: A Mixed-Methods Study. Journal of Medical Internet Research 2014;16(10):e201
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  25. Ahuja N, Ozdalga E, Aaronson A. Integrating Mobile Fitness Trackers Into the Practice of Medicine. American Journal of Lifestyle Medicine 2017;11(1):77
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  26. Feter N, dos Santos TS, Caputo EL, da Silva MC. 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
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  27. Duncan MJ, Vandelanotte C, Trost SG, Rebar AL, Rogers N, Burton NW, Murawski B, Rayward A, Fenton S, Brown WJ. Balanced: a randomised trial examining the efficacy of two self-monitoring methods for an app-based multi-behaviour intervention to improve physical activity, sitting and sleep in adults. BMC Public Health 2016;16(1)
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  28. Gabbiadini A, Sagioglou C, Greitemeyer T. Does Pokémon Go lead to a more physically active life style?. Computers in Human Behavior 2018;84:258
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  29. Kirwan M, Vandelanotte C, Fenning A, Duncan MJ. Diabetes Self-Management Smartphone Application for Adults With Type 1 Diabetes: Randomized Controlled Trial. Journal of Medical Internet Research 2013;15(11):e235
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  30. Griffin N, Kehoe M. A questionnaire study to explore the views of people with multiple sclerosis of using smartphone technology for health care purposes. Disability and Rehabilitation 2018;40(12):1434
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  31. McKay FH, Cheng C, Wright A, Shill J, Stephens H, Uccellini M. Evaluating mobile phone applications for health behaviour change: A systematic review. Journal of Telemedicine and Telecare 2018;24(1):22
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  32. Pande A, Mohapatra P, Nicorici A, Han JJ. Machine Learning to Improve Energy Expenditure Estimation in Children With Disabilities: A Pilot Study in Duchenne Muscular Dystrophy. JMIR Rehabilitation and Assistive Technologies 2016;3(2):e7
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  33. Edney SM, Olds TS, Ryan JC, Vandelanotte C, Plotnikoff RC, Curtis RG, Maher CA. A Social Networking and Gamified App to Increase Physical Activity: Cluster RCT. American Journal of Preventive Medicine 2020;58(2):e51
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  34. O’Reilly GA, Spruijt-Metz D. Current mHealth Technologies for Physical Activity Assessment and Promotion. American Journal of Preventive Medicine 2013;45(4):501
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  35. Lee G, Park JY, Shin S, Hwang JS, Ryu HJ, Lee JH, Bates DW. Which Users Should Be the Focus of Mobile Personal Health Records? Analysis of User Characteristics Influencing Usage of a Tethered Mobile Personal Health Record. Telemedicine and e-Health 2016;22(5):419
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  36. Goodman S, Morrongiello B, Randall Simpson J, Meckling K. Vitamin D Intake Among Young Canadian Adults: Validation of a Mobile Vitamin D Calculator App. Journal of Nutrition Education and Behavior 2015;47(3):242
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  37. Darcy AM, Lock J. Using Technology to Improve Treatment Outcomes for Children and Adolescents with Eating Disorders. Child and Adolescent Psychiatric Clinics of North America 2017;26(1):33
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  38. Kutz D, Shankar K, Connelly K. Making Sense of Mobile- and Web-Based Wellness Information Technology: Cross-Generational Study. Journal of Medical Internet Research 2013;15(5):e83
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  39. Bhat G, Tuncel Y, An S, Lee HG, Ogras UY. An Ultra-Low Energy Human Activity Recognition Accelerator for Wearable Health Applications. ACM Transactions on Embedded Computing Systems 2019;18(5s):1
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  40. Taki S, Russell CG, Wen LM, Laws RA, Campbell K, Xu H, Denney-Wilson E. Consumer Engagement in Mobile Application (App) Interventions Focused on Supporting Infant Feeding Practices for Early Prevention of Childhood Obesity. Frontiers in Public Health 2019;7
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  41. Gilmore LA, Duhé AF, Frost EA, Redman LM. The Technology Boom. Journal of Diabetes Science and Technology 2014;8(3):596
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  42. Cole JA, Tully MA, Cupples ME. “They should stay at their desk until the work’s done”: a qualitative study examining perceptions of sedentary behaviour in a desk-based occupational setting. BMC Research Notes 2015;8(1)
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  43. Joseph-Shehu EM, Ncama BP, Irinoye O. Developing and Pilot Testing an Integrated Technology–Moderated Institutional Health Promotion Model Using Operational Research Approach. CIN: Computers, Informatics, Nursing 2019;37(10):532
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  44. Modave F, Guo Y, Bian J, Gurka MJ, Parish A, Smith MD, Lee AM, Buford TW. Mobile Device Accuracy for Step Counting Across Age Groups. JMIR mHealth and uHealth 2017;5(6):e88
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  45. Liao G, Chien Y, Chen Y, Hsiung H, Chen H, Hsieh M, Wu W. What to Build for Middle-Agers to Come? Attractive and Necessary Functions of Exercise-Promotion Mobile Phone Apps: A Cross-Sectional Study. JMIR mHealth and uHealth 2017;5(5):e65
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  46. Hawkins J, Edwards M, Charles J, Jago R, Kelson M, Morgan K, Murphy S, Oliver E, Simpson S, Edwards RT, Moore G. Protocol for a feasibility randomised controlled trial of the use of Physical ACtivity monitors in an Exercise Referral Setting: the PACERS study. Pilot and Feasibility Studies 2017;3(1)
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  47. Lister C, West JH, Richards R, Crookston B, Hall PC, Redelfs AH. Technology for health: A qualitative study on barriers to using the iPad for diet change. Health 2013;05(04):761
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  48. Mazur J, Dzielska A, Kleszczewska D, Oblacińska A, Fijałkowska A. Changes in physical activity of adolescent girls in the context of their perception of the Healthy Me programme. European Journal of Public Health 2020;30(3):433
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  49. Chowdhury AK, Tjondronegoro D, Chandran V, Zhang J, Trost SG. Prediction of Relative Physical Activity Intensity Using Multimodal Sensing of Physiological Data. Sensors 2019;19(20):4509
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  50. Dounavi K, Tsoumani O. Mobile Health Applications in Weight Management: A Systematic Literature Review. American Journal of Preventive Medicine 2019;56(6):894
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  51. Duncan MJ, Brown WJ, Mummery WK, Vandelanotte C. 10,000 Steps Australia: a community-wide eHealth physical activity promotion programme. British Journal of Sports Medicine 2018;52(14):885
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  52. Middelweerd A, te Velde SJ, Mollee JS, Klein MC, Brug J. App-Based Intervention Combining Evidence-Based Behavior Change Techniques With a Model-Based Reasoning System to Promote Physical Activity Among Young Adults (Active2Gether): Descriptive Study of the Development and Content. JMIR Research Protocols 2018;7(12):e185
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  53. Muntaner A, Vidal-Conti J, Palou P. Increasing physical activity through mobile device interventions: A systematic review. Health Informatics Journal 2016;22(3):451
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  54. Silva AG, Simões P, Santos R, Queirós A, Rocha NP, Rodrigues M. A Scale to Assess the Methodological Quality of Studies Assessing Usability of Electronic Health Products and Services: Delphi Study Followed by Validity and Reliability Testing. Journal of Medical Internet Research 2019;21(11):e14829
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  55. Serrano Ripoll M, Oliván-Blázquez B, Vicens-Pons E, Roca M, Gili M, Leiva A, García-Campayo J, Demarzo M, García-Toro M. Lifestyle change recommendations in major depression: Do they work?. Journal of Affective Disorders 2015;183:221
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  56. Darcy AM, Adler S, Miner A, Lock J. How smartphone applications may be implemented in the treatment of eating disorders: case reports and case series data. Advances in Eating Disorders 2014;2(3):217
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  57. Fanning J, Mullen SP, McAuley E. Increasing Physical Activity With Mobile Devices: A Meta-Analysis. Journal of Medical Internet Research 2012;14(6):e161
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  58. Mercer K, Giangregorio L, Schneider E, Chilana P, Li M, Grindrod K. Acceptance of Commercially Available Wearable Activity Trackers Among Adults Aged Over 50 and With Chronic Illness: A Mixed-Methods Evaluation. JMIR mHealth and uHealth 2016;4(1):e7
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  59. Deliens T, Van Crombruggen R, Verbruggen S, De Bourdeaudhuij I, Deforche B, Clarys P. Dietary interventions among university students: A systematic review. Appetite 2016;105:14
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  60. Direito A, Jiang Y, Whittaker R, Maddison R. Apps for IMproving FITness and Increasing Physical Activity Among Young People: The AIMFIT Pragmatic Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(8):e210
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  61. Anderson K, Griffiths D, DeBell L, Hancock S, Duffy JP, Shutler JD, Reinhardt WJ, Griffiths A, Vadrevu KP. A Grassroots Remote Sensing Toolkit Using Live Coding, Smartphones, Kites and Lightweight Drones. PLOS ONE 2016;11(5):e0151564
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  62. Ozdalga E, Ozdalga A, Ahuja N. The Smartphone in Medicine: A Review of Current and Potential Use Among Physicians and Students. Journal of Medical Internet Research 2012;14(5):e128
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  63. Robbins R, Krebs P, Rapoport DM, Jean-Louis G, Duncan DT. Examining Use of Mobile Phones for Sleep Tracking Among a National Sample in the USA. Health Communication 2019;34(5):545
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  64. Reynoldson C, Stones C, Allsop M, Gardner P, Bennett MI, Closs SJ, Jones R, Knapp P. Assessing the Quality and Usability of Smartphone Apps for Pain Self-Management. Pain Medicine 2014;15(6):898
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  65. Johnston W, Hoffman S, Thornton L. Mobile health: a synopsis and comment on “Increasing physical activity with mobile devices: a meta-analysis”. Translational Behavioral Medicine 2014;4(1):4
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  66. Taki S, Russell CG, Lymer S, Laws R, Campbell K, Appleton J, Ong K, Denney-Wilson E. A Mixed Methods Study to Explore the Effects of Program Design Elements and Participant Characteristics on Parents' Engagement With an mHealth Program to Promote Healthy Infant Feeding: The Growing Healthy Program. Frontiers in Endocrinology 2019;10
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  67. Duncan MJ, Caperchione CM, Corry K, Van Itallie A, Vandelanotte C. A RE-AIM Evaluation of a Workplace Physical Activity Microgrant Initiative. Journal of Occupational & Environmental Medicine 2019;61(9):718
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  68. Feldman DI, Theodore Robison W, Pacor JM, Caddell LC, Feldman EB, Deitz RL, Feldman T, Martin SS, Nasir K, Blaha MJ. Harnessing mHealth technologies to increase physical activity and prevent cardiovascular disease. Clinical Cardiology 2018;41(7):985
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  69. Anderson K, Emmerton LM. Contribution of mobile health applications to self-management by consumers: review of published evidence. Australian Health Review 2016;40(5):591
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  70. Hosseinpour M, Terlutter R. Your Personal Motivator is with You: A Systematic Review of Mobile Phone Applications Aiming at Increasing Physical Activity. Sports Medicine 2019;49(9):1425
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  71. Liu S, Willoughby JF. Do Fitness Apps Need Text Reminders? An Experiment Testing Goal-Setting Text Message Reminders to Promote Self-Monitoring. Journal of Health Communication 2018;23(4):379
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  72. Lyons EJ, Hatkevich C. Prevalence of Behavior Changing Strategies in Fitness Video Games: Theory-Based Content Analysis. Journal of Medical Internet Research 2013;15(5):e81
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  73. Caperchione CM, Duncan M, Kolt GS, Vandelanotte C, Rosenkranz RR, Maeder A, Noakes M, Karunanithi M, Mummery WK. Examining an Australian physical activity and nutrition intervention using RE-AIM. Health Promotion International 2016;31(2):450
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  74. Litman L, Rosen Z, Spierer D, Weinberger-Litman S, Goldschein A, Robinson J. Mobile Exercise Apps and Increased Leisure Time Exercise Activity: A Moderated Mediation Analysis of the Role of Self-Efficacy and Barriers. Journal of Medical Internet Research 2015;17(8):e195
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  75. van Drongelen A, Boot CRL, Hlobil H, Smid T, van der Beek AJ. Process evaluation of a tailored mobile health intervention aiming to reduce fatigue in airline pilots. BMC Public Health 2016;16(1)
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.1950):

  1. Kronbauer AH, Santos CAS. Mobile and Ubiquitous Systems: Computing, Networking, and Services. 2014. Chapter 52:667
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  2. Brzostowski K, Drapała J, Dziedzic G, Świa̧tek J. Intelligent Information and Database Systems. 2015. Chapter 27:273
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  3. Griffith DM, Jaeger EC. Cancer Health Equity Research. 2020. :189
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