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Published on 22.03.18 in Vol 20, No 3 (2018): March

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

Works citing "Just-in-Time Feedback in Diet and Physical Activity Interventions: Systematic Review and Practical Design Framework"

Susan M Schembre, Yue Liao, Michael C Robertson, Genevieve Fridlund Dunton, Jacqueline Kerr, Meghan E Haffey, Taylor Burnett, Karen Basen-Engquist, Rachel S Hicklen

J Med Internet Res 2018 (Mar 22); 20(3):e106 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.8701):

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

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  25. Liao Y, Basen-Engquist KM, Urbauer DL, Bevers TB, Hawk E, Schembre SM. Using Continuous Glucose Monitoring to Motivate Physical Activity in Overweight and Obese Adults: A Pilot Study. Cancer Epidemiology, Biomarkers & Prevention 2020;29(4):761
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  30. Robertson MC, Green CE, Liao Y, Durand CP, Basen-Engquist KM. Self-efficacy and Physical Activity in Overweight and Obese Adults Participating in a Worksite Weight Loss Intervention: Multistate Modeling of Wearable Device Data. Cancer Epidemiology, Biomarkers & Prevention 2020;29(4):769
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  31. Kleis RR, Hoch MC, Hogg-Graham R, Hoch JM. The Effectiveness of the Transtheoretical Model to Improve Physical Activity in Healthy Adults: A Systematic Review. Journal of Physical Activity and Health 2021;18(1):94
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  34. Nam S, Griggs S, Ash GI, Dunton GF, Huang S, Batten J, Parekh N, Whittemore R. Ecological momentary assessment for health behaviors and contextual factors in persons with diabetes: A systematic review. Diabetes Research and Clinical Practice 2021;174:108745
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  35. Robertson MC, Raber M, Liao Y, Wu I, Parker N, Gatus L, Le T, Durand CP, Basen-Engquist KM. Patterns of self-monitoring technology use and weight loss in people with overweight or obesity. Translational Behavioral Medicine 2021;11(8):1537
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  36. Kim HH, Kim Y, Park YR. Interpretable Conditional Recurrent Neural Network for Weight Change Prediction: Algorithm Development and Validation Study. JMIR mHealth and uHealth 2021;9(3):e22183
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  37. Figueroa CA, Deliu N, Chakraborty B, Modiri A, Xu J, Aggarwal J, Jay Williams J, Lyles C, Aguilera A. Daily Motivational Text Messages to Promote Physical Activity in University Students: Results From a Microrandomized Trial. Annals of Behavioral Medicine 2022;56(2):212
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  38. Schoufour JD, Tieland M, Barazzoni R, Ben Allouch S, Bie JVD, Boirie Y, Cruz-Jentoft AJ, Eglseer D, Topinková E, Visser B, Voortman T, Tsagari A, Weijs PJM. The Relevance of Diet, Physical Activity, Exercise, and Persuasive Technology in the Prevention and Treatment of Sarcopenic Obesity in Older Adults. Frontiers in Nutrition 2021;8
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  39. 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. Frontiers in Public Health 2021;9
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  40. Griauzde DH, Standafer Lopez K, Saslow LR, Richardson CR. A Pragmatic Approach to Translating Low- and Very Low-Carbohydrate Diets Into Clinical Practice for Patients With Obesity and Type 2 Diabetes. Frontiers in Nutrition 2021;8
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  41. 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
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  42. Yilmaz Y, Papanagnou D, Fornari A, Chan TM. The Learning Loop: Conceptualizing Just‐in‐Time Faculty Development. AEM Education and Training 2022;6(1)
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  43. Arigo D, Hevel D, Bittel K, Maher JP. Within-person examination of the exercise intention-behavior gap among women in midlife with elevated cardiovascular disease risk. Psychology of Sport and Exercise 2022;60:102138
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  44. Nissen M, Slim S, Jäger K, Flaucher M, Huebner H, Danzberger N, Fasching PA, Beckmann MW, Gradl S, Eskofier BM. Heart Rate Measurement Accuracy of Fitbit Charge 4 and Samsung Galaxy Watch Active2: Device Evaluation Study. JMIR Formative Research 2022;6(3):e33635
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  45. Oikonomidi T, Ravaud P, LeBeau J, Tran V. A systematic scoping review of just-in-time, adaptive interventions finds limited automation and incomplete reporting. Journal of Clinical Epidemiology 2023;154:108
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  46. Bossen D, Bak M, Braam K, Wentink M, Holla J, Visser B, Dallinga J. Online and Offline Behavior Change Techniques to Promote a Healthy Lifestyle: A Qualitative Study. International Journal of Environmental Research and Public Health 2022;19(1):521
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  47. Schwarz A, Winkens LHH, de Vet E, Ossendrijver D, Bouwsema K, Simons M. Design Features Associated With Engagement in Mobile Health Physical Activity Interventions Among Youth: Systematic Review of Qualitative and Quantitative Studies. JMIR mHealth and uHealth 2023;11:e40898
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  48. Liao Y, Brown KK. Usage of Digital Health Tools and Perception of mHealth Intervention for Physical Activity and Sleep in Black Women. International Journal of Environmental Research and Public Health 2022;19(3):1557
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  49. Arigo D, Brown MM, Shank F, Young CM. Ecological Momentary Assessment of Associations Between Social Interactions and Physical Activity Outcomes Among Women in Midlife With CVD Risk Conditions. Annals of Behavioral Medicine 2023;57(1):50
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  51. Batool T, Neven A, Smeets CJ, Scherrenberg M, Dendale P, Vanrompay Y, Adnan M, Ross V, Brijs K, Wets G, Janssens D. A randomised controlled trial to enhance travel-related physical activity: A pilot study in patients with coronary heart disease. Journal of Transport & Health 2022;25:101344
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  52. Brannon GE, Ray M, Cho P, Baum M, Beg MS, Bevers T, Schembre SM, Basen-Engquist K, Liao Y. A qualitative study to explore the acceptability and usefulness of personalized biofeedback to motivate physical activity in cancer survivors. DIGITAL HEALTH 2022;8:205520762211290
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  53. Zlatar ZZ, Campbell LM, Tang B, Gabin S, Heaton A, Higgins M, Swendsen J, Moore DJ, Moore RC. Daily Level Association of Physical Activity and Performance on Ecological Momentary Cognitive Tests in Free-living Environments: A Mobile Health Observational Study. JMIR mHealth and uHealth 2022;10(1):e33747
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  54. Owens AP, Krebs C, Kuruppu S, Brem A, Kowatsch T, Aarsland D, Klöppel S. Broadened assessments, health education and cognitive aids in the remote memory clinic. Frontiers in Public Health 2022;10
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  55. To QG, Green C, Vandelanotte C. Feasibility, Usability, and Effectiveness of a Machine Learning–Based Physical Activity Chatbot: Quasi-Experimental Study. JMIR mHealth and uHealth 2021;9(11):e28577
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  56. Gyllensten H, Haby K, Berg M, Premberg . Cost effectiveness of a controlled lifestyle intervention for pregnant women with obesity. BMC Pregnancy and Childbirth 2021;21(1)
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  59. Sporrel K, Wang S, Ettema DDF, Nibbeling N, Krose BJA, Deutekom M, de Boer RDD, Simons M. Just-in-Time Prompts for Running, Walking, and Performing Strength Exercises in the Built Environment: 4-Week Randomized Feasibility Study. JMIR Formative Research 2022;6(8):e35268
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  64. Bae SW, Suffoletto B, Zhang T, Chung T, Ozolcer M, Islam MR, Dey AK. Leveraging Mobile Phone Sensors, Machine Learning, and Explainable Artificial Intelligence to Predict Imminent Same-Day Binge-drinking Events to Support Just-in-time Adaptive Interventions: Algorithm Development and Validation Study. JMIR Formative Research 2023;7:e39862
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