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For: Sullivan AN, Lachman ME. Behavior Change with Fitness Technology in Sedentary Adults: A Review of the Evidence for Increasing Physical Activity. Front Public Health 2016;4:289. [PMID: 28123997 DOI: 10.3389/fpubh.2016.00289] [Cited by in Crossref: 172] [Cited by in F6Publishing: 198] [Article Influence: 34.4] [Reference Citation Analysis]
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9 Vieira WDO, Ostolin TLVDP, Simões MDSMP, Proença NL, Dourado VZ. Profile of adults users of smartphone applications for monitoring the level of physical activity and associated factors: A cross-sectional study. Front Public Health 2022;10:966470. [DOI: 10.3389/fpubh.2022.966470] [Reference Citation Analysis]
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12 Arredondo EM, Haughton J, Ayala GX, Slymen D, Sallis JF, Perez LG, Serrano N, Ryan S, Valdivia R, Lopez NV, Elder JP. Two-year outcomes of Faith in Action/Fe en Acción: a randomized controlled trial of physical activity promotion in Latinas. Int J Behav Nutr Phys Act 2022;19:97. [PMID: 35907867 DOI: 10.1186/s12966-022-01329-6] [Reference Citation Analysis]
13 Peng X, Menhas R, Dai J, Younas M. The COVID-19 Pandemic and Overall Wellbeing: Mediating Role of Virtual Reality Fitness for Physical-Psychological Health and Physical Activity. Psychol Res Behav Manag 2022;15:1741-56. [PMID: 35860203 DOI: 10.2147/PRBM.S369020] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
14 Vairavasundaram S, Varadarajan V, Srinivasan D, Balaganesh V, Damerla SB, Swaminathan B, Ravi L. Dynamic Physical Activity Recommendation Delivered through a Mobile Fitness App: A Deep Learning Approach. Axioms 2022;11:346. [DOI: 10.3390/axioms11070346] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
15 Klingenberg A, Purrucker V, Schuler W, Ganapathy N, Spicher N, Deserno TM. Human activity recognition from textile electrocardiograms. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2022. [DOI: 10.1109/embc48229.2022.9871210] [Reference Citation Analysis]
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17 Hartman SJ, Chen R, Tam RM, Narayan HK, Natarajan L, Liu L. Fitbit Use and Activity Levels From Intervention to 2 Years After: Secondary Analysis of a Randomized Controlled Trial. JMIR Mhealth Uhealth 2022;10:e37086. [DOI: 10.2196/37086] [Reference Citation Analysis]
18 Liu R, Menhas R, Dai J, Saqib ZA, Peng X. Fitness Apps, Live Streaming Workout Classes, and Virtual Reality Fitness for Physical Activity During the COVID-19 Lockdown: An Empirical Study. Front Public Health 2022;10:852311. [DOI: 10.3389/fpubh.2022.852311] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
19 Domin A, Uslu A, Schulz A, Ouzzahra Y, Vögele C. A Theory-Informed, Personalized mHealth Intervention for Adolescents (Mobile App for Physical Activity): Development and Pilot Study. JMIR Form Res 2022;6:e35118. [DOI: 10.2196/35118] [Reference Citation Analysis]
20 Sherwani SI, Bates BR. Role of Wearable Technology and Fitness Apps in Obesity and Diabetes. Research Anthology on Securing Medical Systems and Records 2022. [DOI: 10.4018/978-1-6684-6311-6.ch018] [Reference Citation Analysis]
21 Lee J, Kong SY, Kim BW, Kim S, Park G, Chai H, Kim YM, Lee SW, Kim S. Assessment of novel ICT-EMS systems to improve emergency patient transportation during the COVID-19 pandemic. The American Journal of Emergency Medicine 2022;56:107-12. [DOI: 10.1016/j.ajem.2022.03.035] [Reference Citation Analysis]
22 Utesch T, Piesch L, Busch L, Strauss B, Geukes K. Self-tracking of daily physical activity using a fitness tracker and the effect of the 10,000 steps goal: A 6-week randomized controlled parallel group trial. Ger J Exerc Sport Res. [DOI: 10.1007/s12662-022-00821-2] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
23 Richards VL, Rajendran S, Cook RL, Leeman RF, Wang Y, Prins C, Cook C. Identifying desired features that would be acceptable and helpful in a wrist-worn biosensor-based alcohol intervention for adults with heavy drinking: A qualitative study (Preprint).. [DOI: 10.2196/preprints.38713] [Reference Citation Analysis]
24 Richards VL, Rajendran S, Cook RL, Leeman RF, Wang Y, Prins C, Cook C. Identifying desired features that would be acceptable and helpful in a wrist-worn biosensor-based alcohol intervention for adults with heavy drinking: A qualitative study (Preprint). Journal of Medical Internet Research 2022. [DOI: 10.2196/38713] [Reference Citation Analysis]
25 Adjerid I, Loewenstein G, Purta R, Striegel A. Gain-Loss Incentives and Physical Activity: The Role of Choice and Wearable Health Tools. Management Science 2022;68:2642-67. [DOI: 10.1287/mnsc.2021.4004] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
26 Habib MB, Khoo S, Morris T. Motives and Passion of Adults from Pakistan toward Physical Activity. Int J Environ Res Public Health 2022;19:3298. [PMID: 35328986 DOI: 10.3390/ijerph19063298] [Reference Citation Analysis]
27 Hartman SJ, Chen R, Tam RM, Narayan HK, Natarajan L, Liu L. Fitbit Use and Activity Levels From Intervention to 2 Years After: Secondary Analysis of a Randomized Controlled Trial (Preprint).. [DOI: 10.2196/preprints.37086] [Reference Citation Analysis]
28 Zhang S, Li Y, Zhang S, Shahabi F, Xia S, Deng Y, Alshurafa N. Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances. Sensors (Basel) 2022;22:1476. [PMID: 35214377 DOI: 10.3390/s22041476] [Cited by in Crossref: 23] [Cited by in F6Publishing: 20] [Article Influence: 23.0] [Reference Citation Analysis]
29 Mace RA, Popok PJ, Hopkins SW, Fishbein NS, Vranceanu AM. Adaptation and virtual feasibility pilot of a mindfulness-based lifestyle program targeting modifiable dementia risk factors in older adults. Aging Ment Health 2022;:1-13. [PMID: 35100922 DOI: 10.1080/13607863.2022.2032600] [Reference Citation Analysis]
30 Al-kuwari MG, Al-hamdani AY. A comparative study on the uptake and physical activity outcome of the pedometer and smartphone application in Qatar. Gazz Med Ital - Arch Sci Med 2021;180. [DOI: 10.23736/s0393-3660.21.04616-7] [Reference Citation Analysis]
31 Trukeschitz B, Eisenberg S, Schneider C, Schneider U. Exploring the effectiveness of a fitness‐app prototype for home care service users in Austria and Italy. Health Social Care Comm. [DOI: 10.1111/hsc.13733] [Reference Citation Analysis]
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33 Jung J, Cho I. Promoting Physical Activity and Weight Loss With mHealth Interventions Among Workers: Systematic Review and Meta-analysis of Randomized Controlled Trials. JMIR Mhealth Uhealth 2022;10:e30682. [PMID: 35060913 DOI: 10.2196/30682] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
34 Zhang Z, Zhang J, Zheng B, Zhang J, Department of Management Science, School of Management, University of Science and Technology of China, Hefei 230026, China, Business School, Central South University, Changsha 410083, China, Division of Business Management, Beijing Normal University – Hong Kong Baptist University United International College, Zhuhai 519087, China. Promoting exercise behavior with monetary and social incentives: Evidence from a technology-enabled online fitness program. zgkxjsdxxb 2022;52:1. [DOI: 10.52396/justc-2022-0062] [Reference Citation Analysis]
35 Branin JJ. Improving Work Capacity and HRQoL: The Role of QoL Technologies. Quantifying Quality of Life 2022. [DOI: 10.1007/978-3-030-94212-0_8] [Reference Citation Analysis]
36 Lee MW, Witchel HJ. Introduction: Intentional Innovation in Educational Technology and Media to Promote Students’ Holistic Development. Methods in Physiology 2022. [DOI: 10.1007/978-3-030-95633-2_1] [Reference Citation Analysis]
37 Smith L, Volkwyn C. Promotion of Physical Activity through Health Applications among Students of Selected Universities – a Preliminary Study. Central European Journal of Sport Sciences and Medicine 2022;38:5-12. [DOI: 10.18276/cej.2022.2-01] [Reference Citation Analysis]
38 Dawi NM, Hwang HJ, Jusoh A, Kim HK. Examining the Factors that Influence Customers’ Intention to Use Smartwatches in Malaysia Using UTAUT2 Model. Software Engineering Research, Management and Applications 2022. [DOI: 10.1007/978-3-031-09145-2_1] [Reference Citation Analysis]
39 Black M, Brunet J. A Wearable Activity Tracker Intervention With and Without Weekly Behavioral Support Emails to Promote Physical Activity Among Women Who Are Overweight or Obese: Randomized Controlled Trial. JMIR Mhealth Uhealth 2021;9:e28128. [PMID: 34927590 DOI: 10.2196/28128] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
40 Poveda-López S, Montilla-Herrador J, Gacto-Sánchez M, Romero-Galisteo RP, Lillo-Navarro C. Wishes and perceptions about exercise programs in exercising institutionalized older adults living in long-term care institutions: A qualitative study. Geriatr Nurs 2021;43:167-74. [PMID: 34902751 DOI: 10.1016/j.gerinurse.2021.11.013] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
41 Bisson AN, Sorrentino V, Lachman ME. Walking and Daily Affect Among Sedentary Older Adults Measured Using the StepMATE App: Pilot Randomized Controlled Trial. JMIR Mhealth Uhealth 2021;9:e27208. [PMID: 34855609 DOI: 10.2196/27208] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
42 E M Vickery N, Wang Y, Tarlinton D, Blackler A, Ploderer B, Wyeth P, Knight L. Embodied Interaction Design for Active Play with Young Children: A Scoping Review. 33rd Australian Conference on Human-Computer Interaction 2021. [DOI: 10.1145/3520495.3522701] [Reference Citation Analysis]
43 Salehzadeh Niksirat K, Rahmamuliani F, Ren X, Pu P. Understanding intergenerational fitness tracking practices: 12 suggestions for design. CCF Trans Pervasive Comp Interact 2022;4:13-31. [DOI: 10.1007/s42486-021-00082-2] [Reference Citation Analysis]
44 Mair JL, Hayes LD, Campbell AK, Buchan DS, Easton C, Sculthorpe N. A Personalized Smartphone-Delivered Just-in-time Adaptive Intervention (JitaBug) to Increase Physical Activity in Older Adults: Mixed Methods Feasibility Study (Preprint).. [DOI: 10.2196/preprints.34662] [Reference Citation Analysis]
45 Mair JL, Hayes L, Campbell A, Buchan D, Easton C, Sculthorpe N. A personalised smartphone-delivered just-in-time adaptive intervention (JITABug) to increase physical activity in older adults: Feasibility pilot study (Preprint). JMIR Formative Research. [DOI: 10.2196/34662] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
46 Marquez DX, Aguiñaga S, Vásquez PG, Marques IG, Balbim GM, Jaldin M. Dancing among older Latinos: Interweaving health and culture. Lat Stud 2021;19:452-69. [DOI: 10.1057/s41276-021-00344-1] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
47 Ferrone A, García Patiño A, Menon C. Low Back Pain-Behavior Correction by Providing Haptic Feedbacks: A Preliminary Investigation. Sensors (Basel) 2021;21:7158. [PMID: 34770464 DOI: 10.3390/s21217158] [Reference Citation Analysis]
48 Kapteyn A, Saw H, Darling J. Does feedback from activity trackers influence physical activity? Evidence from a randomized controlled trial (Preprint).. [DOI: 10.2196/preprints.34460] [Reference Citation Analysis]
49 Forth KE, Layne CS, Madansingh SI. Self-Monitoring of Balance Performance can Reduce the Rate of Falls Among Older Adults. Front Sports Act Living 2021;3:680269. [PMID: 34632375 DOI: 10.3389/fspor.2021.680269] [Reference Citation Analysis]
50 Liu JYW, Kwan RYC, Yin YH, Lee PH, Siu JY, Bai X. Enhancing the Physical Activity Levels of Frail Older Adults with a Wearable Activity Tracker-Based Exercise Intervention: A Pilot Cluster Randomized Controlled Trial. Int J Environ Res Public Health 2021;18:10344. [PMID: 34639644 DOI: 10.3390/ijerph181910344] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
51 Lukic YX, Klein SS, Brügger V, Keller OC, Fleisch E, Kowatsch T. The Impact of a Gameful Breathing Training Visualization on Intrinsic Experiential Value, Perceived Effectiveness, and Engagement Intentions: Between-Subject Online Experiment. JMIR Serious Games 2021;9:e22803. [PMID: 34519662 DOI: 10.2196/22803] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
52 Heckhausen J, Brandstätter V, Fishbach A, Freund AM, Lachman ME, Robert P. Goal Changes and Healthy Aging. J Gerontol B Psychol Sci Soc Sci 2021;76:S105-14. [PMID: 34515773 DOI: 10.1093/geronb/gbab038] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
53 Swanston E, Pulman A, Dogan H, Murphy J, Bitters F. Scoping the Need for a Tailored mHealth App to Improve Health and Well-being Behavioral Transformation in the Police: Exploring the Views of UK Police Workers via Web-Based Surveys and Client Meetings. JMIR Form Res 2021;5:e28075. [PMID: 34463625 DOI: 10.2196/28075] [Reference Citation Analysis]
54 Szeto MD, Strock D, Anderson J, Sivesind TE, Vorwald VM, Rietcheck HR, Weintraub GS, Dellavalle RP. Gamification and Game-Based Strategies for Dermatology Education: Narrative Review. JMIR Dermatol 2021;4:e30325. [DOI: 10.2196/30325] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
55 Smyth B, Lawlor A, Berndsen J, Feely C. Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners. User Model User-Adap Inter. [DOI: 10.1007/s11257-021-09299-3] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
56 Yen HY, Liao Y, Huang HY. Smart Wearable Device Users' Behavior Is Essential for Physical Activity Improvement. Int J Behav Med 2021. [PMID: 34363130 DOI: 10.1007/s12529-021-10013-1] [Reference Citation Analysis]
57 Ellis TD, Earhart GM. Digital Therapeutics in Parkinson's Disease: Practical Applications and Future Potential. J Parkinsons Dis 2021;11:S95-S101. [PMID: 33646177 DOI: 10.3233/JPD-202407] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
58 Patomella AH, Farias L, Eriksson C, Guidetti S, Asaba E. Engagement in Everyday Activities for Prevention of Stroke: Feasibility of an mHealth-Supported Program for People with TIA. Healthcare (Basel) 2021;9:968. [PMID: 34442105 DOI: 10.3390/healthcare9080968] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
59 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 Uhealth 2021;9:e24308. [PMID: 34287209 DOI: 10.2196/24308] [Cited by in Crossref: 18] [Cited by in F6Publishing: 19] [Article Influence: 18.0] [Reference Citation Analysis]
60 Parker J, Johnson U, Ivarsson A. Initial Positive Indications with Wearable Fitness Technology Followed by Relapse: What’s Going On? Sustainability 2021;13:7704. [DOI: 10.3390/su13147704] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
61 Degroote L, De Paepe A, De Bourdeaudhuij I, Van Dyck D, Crombez G. Effectiveness of the mHealth intervention 'MyDayPlan' to increase physical activity: an aggregated single case approach. Int J Behav Nutr Phys Act 2021;18:92. [PMID: 34233718 DOI: 10.1186/s12966-021-01163-2] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
62 Hajna S, Sharp SJ, Cooper AJM, Williams KM, van Sluijs EMF, Brage S, Griffin SJ, Sutton S. Effectiveness of Minimal Contact Interventions: An RCT. Am J Prev Med 2021;60:e111-21. [PMID: 33612170 DOI: 10.1016/j.amepre.2020.10.010] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
63 Pellegrini CA, Lee J, DeVivo KE, Harpine CE, Del Gaizo DJ, Wilcox S. Reducing sedentary time using an innovative mHealth intervention among patients with total knee replacement: Rationale and study protocol. Contemp Clin Trials Commun 2021;22:100810. [PMID: 34195473 DOI: 10.1016/j.conctc.2021.100810] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
64 Rayward AT, Vandelanotte C, Van Itallie A, Duncan MJ. The Association Between Logging Steps Using a Website, App, or Fitbit and Engaging With the 10,000 Steps Physical Activity Program: Observational Study. J Med Internet Res 2021;23:e22151. [PMID: 34142966 DOI: 10.2196/22151] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
65 Nibbeling N, Simons M, Sporrel K, Deutekom M. A Focus Group Study Among Inactive Adults Regarding the Perceptions of a Theory-Based Physical Activity App. Front Public Health 2021;9:528388. [PMID: 34222157 DOI: 10.3389/fpubh.2021.528388] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
66 Kong S, Lee JK, Kang D, Kim N, Shim YM, Park W, Choi D, Cho J. Comparing the Effectiveness of a Wearable Activity Tracker in Addition to Counseling and Counseling Only to Reinforce Leisure-Time Physical Activity among Breast Cancer Patients: A Randomized Controlled Trial. Cancers (Basel) 2021;13:2692. [PMID: 34070937 DOI: 10.3390/cancers13112692] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
67 Jung J, Cho I. Promoting Physical Activity and Weight Loss With mHealth Interventions Among Workers: Systematic Review and Meta-analysis of Randomized Controlled Trials (Preprint).. [DOI: 10.2196/preprints.30682] [Reference Citation Analysis]
68 Lukic YX, Klein SS, Brügger V, Keller OC, Fleisch E, Kowatsch T. The Impact of a Gameful Breathing Training Visualization on Intrinsic Experiential Value, Perceived Effectiveness, and Engagement Intentions: Between-Subject Online Experiment (Preprint).. [DOI: 10.2196/preprints.22803] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
69 de Looff PC, Nijman H, Didden R, Noordzij ML. Usability and Acceptance of Wearable Biosensors in Forensic Psychiatry: Cross-sectional Questionnaire Study. JMIR Form Res 2021;5:e18096. [PMID: 33970115 DOI: 10.2196/18096] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
70 Varma N, Cygankiewicz I, Turakhia M, Heidbuchel H, Hu Y, Chen LY, Couderc J, Cronin EM, Estep JD, Grieten L, Lane DA, Mehra R, Page A, Passman R, Piccini J, Piotrowicz E, Piotrowicz R, Platonov PG, Ribeiro AL, Rich RE, Russo AM, Slotwiner D, Steinberg JS, Svennberg E. 2021 ISHNE / HRS / EHRA / APHRS Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals. European Heart Journal - Digital Health 2021;2:7-48. [DOI: 10.1093/ehjdh/ztab001] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
71 Proença NL, Simões MDS, Gonze BDB, Nibbeling N, Padovani RDC, Dourado VZ. Using a Smartphone Application to Promote Physical Activity Behavior Change Among Researchers From Human Movement Sciences: Qualitative Focus Group Study (Preprint).. [DOI: 10.2196/preprints.29924] [Reference Citation Analysis]
72 O'Loughlin EK, Sabiston CM, deJonge ML, Lucibello KM, O'Loughlin JL. Associations among physical activity tracking, physical activity motivation and level of physical activity in young adults. J Health Psychol 2021;:13591053211008209. [PMID: 33878944 DOI: 10.1177/13591053211008209] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
73 Ballinger TJ, Althouse SK, Olsen TP, Miller KD, Sledge JS. A Personalized, Dynamic Physical Activity Intervention Is Feasible and Improves Energetic Capacity, Energy Expenditure, and Quality of Life in Breast Cancer Survivors. Front Oncol 2021;11:626180. [PMID: 33912450 DOI: 10.3389/fonc.2021.626180] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
74 Hamido S, Gu X, Itoh K. The effects of self-monitoring of physical activity among elderly people with the impact of Covid-19 pandemic. 2021 3rd International Conference on Management Science and Industrial Engineering 2021. [DOI: 10.1145/3460824.3460853] [Reference Citation Analysis]
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