Published on in Vol 15, No 9 (2013): September

Monitoring Dietary Intake and Physical Activity Electronically: Feasibility, Usability, and Ecological Validity of a Mobile-Based Ecological Momentary Assessment Tool

Monitoring Dietary Intake and Physical Activity Electronically: Feasibility, Usability, and Ecological Validity of a Mobile-Based Ecological Momentary Assessment Tool

Monitoring Dietary Intake and Physical Activity Electronically: Feasibility, Usability, and Ecological Validity of a Mobile-Based Ecological Momentary Assessment Tool

Journals

  1. Comulada W, Swendeman D, Rezai R, Ramanathan N. Time Series Visualizations of Mobile Phone-Based Daily Diary Reports of Stress, Physical Activity, and Diet Quality in Mostly Ethnic Minority Mothers: Feasibility Study. JMIR Formative Research 2018;2(2):e11062 View
  2. Spruijt-Metz D, Wen C, Bell B, Intille S, Huang J, Baranowski T. Advances and Controversies in Diet and Physical Activity Measurement in Youth. American Journal of Preventive Medicine 2018;55(4):e81 View
  3. Rangelov N, Suggs L, Marques-Vidal P. I did eat my vegetables. Agreement between parent and child food intake diaries. Public Health Nutrition 2016;19(17):3106 View
  4. Smith A, de Salas K, Lewis I, Schüz B. Developing smartphone apps for behavioural studies: The AlcoRisk app case study. Journal of Biomedical Informatics 2017;72:108 View
  5. Cushing C, Marker A, Bejarano C, Crick C, Huffhines L. Latent Variable Mixture Modeling of Ecological Momentary Assessment Data: Implications for Screening and Adolescent Mood Profiles. Journal of Child and Family Studies 2017;26(6):1565 View
  6. Enkema M, Hallgren K, Larimer M. Craving is impermanent and it matters: Investigating craving and cannabis use among young adults with problematic use interested in reducing use. Drug and Alcohol Dependence 2020;210:107957 View
  7. Bruening M, van Woerden I, Todd M, Brennhofer S, Laska M, Dunton G. A Mobile Ecological Momentary Assessment Tool (devilSPARC) for Nutrition and Physical Activity Behaviors in College Students: A Validation Study. Journal of Medical Internet Research 2016;18(7):e209 View
  8. Liao Y, Skelton K, Dunton G, Bruening M. A Systematic Review of Methods and Procedures Used in Ecological Momentary Assessments of Diet and Physical Activity Research in Youth: An Adapted STROBE Checklist for Reporting EMA Studies (CREMAS). Journal of Medical Internet Research 2016;18(6):e151 View
  9. Wenhold F. Technology in dietary assessment. Public Health Nutrition 2018;21(2):257 View
  10. Ryan P, Brown R, Csuka M, Papanek P. Efficacy of Osteoporosis Prevention Smartphone App. Nursing Research 2020;69(1):31 View
  11. van der Ploeg H, Hillsdon M. Is sedentary behaviour just physical inactivity by another name?. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1) View
  12. Klaassen B, van Beijnum B, Hermens H. Usability in telemedicine systems—A literature survey. International Journal of Medical Informatics 2016;93:57 View
  13. Schembre S, Liao Y, O'Connor S, Hingle M, Shen S, Hamoy K, Huh J, Dunton G, Weiss R, Thomson C, Boushey C. Mobile Ecological Momentary Diet Assessment Methods for Behavioral Research: Systematic Review. JMIR mHealth and uHealth 2018;6(11):e11170 View
  14. Sufrinko A, Howie E, Charek D, Elbin R, Collins M, Kontos A. Mobile Ecological Momentary Assessment of Postconcussion Symptoms and Recovery Outcomes. Journal of Head Trauma Rehabilitation 2019;34(6):E40 View
  15. Liu H, Lou V. Developing a smartphone-based ecological momentary assessment protocol to collect biopsychosocial data with community-dwelling late-middle-aged and older adults. Translational Behavioral Medicine 2019;9(4):711 View
  16. Brannon E, Cushing C, Crick C, Mitchell T. The promise of wearable sensors and ecological momentary assessment measures for dynamical systems modeling in adolescents: a feasibility and acceptability study. Translational Behavioral Medicine 2016;6(4):558 View
  17. McKinney T, Euler M, Butner J. It’s about time: The role of temporal variability in improving assessment of executive functioning. The Clinical Neuropsychologist 2020;34(4):619 View
  18. Nemati E, Batteate C, Jerrett M. Opportunistic Environmental Sensing with Smartphones: a Critical Review of Current Literature and Applications. Current Environmental Health Reports 2017;4(3):306 View
  19. Degroote L, DeSmet A, De Bourdeaudhuij I, Van Dyck D, Crombez G. Content validity and methodological considerations in ecological momentary assessment studies on physical activity and sedentary behaviour: a systematic review. International Journal of Behavioral Nutrition and Physical Activity 2020;17(1) View
  20. Saint-Maurice P, Welk G. Web-Based Assessments of Physical Activity in Youth: Considerations for Design and Scale Calibration. Journal of Medical Internet Research 2014;16(12):e269 View
  21. Engel S, Crosby R, Thomas G, Bond D, Lavender J, Mason T, Steffen K, Green D, Wonderlich S. Ecological Momentary Assessment in Eating Disorder and Obesity Research: a Review of the Recent Literature. Current Psychiatry Reports 2016;18(4) View
  22. Gabrielli S, Dianti M, Maimone R, Betta M, Filippi L, Ghezzi M, Forti S. Design of a Mobile App for Nutrition Education (TreC-LifeStyle) and Formative Evaluation With Families of Overweight Children. JMIR mHealth and uHealth 2017;5(4):e48 View
  23. Suso-Ribera C, Castilla D, Zaragozá I, Ribera-Canudas M, Botella C, García-Palacios A. Validity, Reliability, Feasibility, and Usefulness of Pain Monitor. The Clinical Journal of Pain 2018;34(10):900 View
  24. Duncan D, Kapadia F, Kirchner T, Goedel W, Brady W, Halkitis P. Acceptability of ecological momentary assessment among young men who have sex with men. Journal of LGBT Youth 2017;14(4):436 View
  25. Silva A, Simões P, Santos R, Queirós A, Rocha N, 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 View
  26. Maugeri A, Barchitta M. A Systematic Review of Ecological Momentary Assessment of Diet: Implications and Perspectives for Nutritional Epidemiology. Nutrients 2019;11(11):2696 View
  27. Zapata-Lamana R, Lalanza J, Losilla J, Parrado E, Capdevila L. mHealth technology for ecological momentary assessment in physical activity research: a systematic review. PeerJ 2020;8:e8848 View
  28. Spook J, Paulussen T, Kok G, van Empelen P. Evaluation of a Serious Self-Regulation Game Intervention for Overweight-Related Behaviors (“Balance It”): A Pilot Study. Journal of Medical Internet Research 2016;18(9):e225 View
  29. Ormel H, van der Schoot G, Westerink N, Sluiter W, Gietema J, Walenkamp A. Self-monitoring physical activity with a smartphone application in cancer patients: a randomized feasibility study (SMART-trial). Supportive Care in Cancer 2018;26(11):3915 View
  30. Azad-Khaneghah P, Neubauer N, Miguel Cruz A, Liu L. Mobile health app usability and quality rating scales: a systematic review. Disability and Rehabilitation: Assistive Technology 2021;16(7):712 View
  31. Loth K, Fertig A, Trofholz A, Harnack L, Crosby R, Neumark-Sztainer D, Berge J. Concordance of children’s intake of selected food groups as reported by parents via 24-h dietary recall and ecological momentary assessment. Public Health Nutrition 2021;24(1):22 View
  32. Spook J, Paulussen T, Paulissen R, Visschedijk G, Kok G, van Empelen P. Design Rationale Behind the Serious Self-Regulation Game Intervention “Balance It”: Overweight Prevention Among Secondary Vocational Education Students in The Netherlands. Games for Health Journal 2015;4(5):387 View
  33. Middelweerd A, van der Laan D, van Stralen M, Mollee J, Stuij M, te Velde S, 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) View
  34. Loveday A, Sherar L, Sanders J, Sanderson P, Esliger D. Technologies That Assess the Location of Physical Activity and Sedentary Behavior: A Systematic Review. Journal of Medical Internet Research 2015;17(8):e192 View
  35. Barnett I, Torous J, Staples P, Keshavan M, Onnela J. Beyond smartphones and sensors: choosing appropriate statistical methods for the analysis of longitudinal data. Journal of the American Medical Informatics Association 2018;25(12):1669 View
  36. Davis T, DiClemente R, Prietula M. Taking mHealth Forward: Examining the Core Characteristics. JMIR mHealth and uHealth 2016;4(3):e97 View
  37. Villasana M, Pires I, Sá J, Garcia N, Zdravevski E, Chorbev I, Lameski P, Flórez-Revuelta F. Promotion of Healthy Nutrition and Physical Activity Lifestyles for Teenagers: A Systematic Literature Review of The Current Methodologies. Journal of Personalized Medicine 2020;10(1):12 View
  38. Hand R, Perzynski A. Ecologic Momentary Assessment: Perspectives on Applications and Opportunities in Research and Practice Regarding Nutrition Behaviors. Journal of Nutrition Education and Behavior 2016;48(8):568 View
  39. Villasana M, Pires I, Sá J, Garcia N, Teixeira M, Zdravevski E, Chorbev I, Lameski P. Promotion of Healthy Lifestyles to Teenagers with Mobile Devices: A Case Study in Portugal. Healthcare 2020;8(3):315 View
  40. Williams M, Lewthwaite H, Fraysse F, Gajewska A, Ignatavicius J, Ferrar K. Compliance With Mobile Ecological Momentary Assessment of Self-Reported Health-Related Behaviors and Psychological Constructs in Adults: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2021;23(3):e17023 View
  41. Fischer F, Kleen S. Possibilities, Problems, and Perspectives of Data Collection by Mobile Apps in Longitudinal Epidemiological Studies: Scoping Review. Journal of Medical Internet Research 2021;23(1):e17691 View
  42. Spencer-Bonilla G, Serrano V, Gao C, Sanchez M, Carroll K, Gionfriddo M, Behnken E, Hargraves I, Boehmer K, May C, Montori V. Patient Work and Treatment Burden in Type 2 Diabetes: A Mixed-Methods Study. Mayo Clinic Proceedings: Innovations, Quality & Outcomes 2021;5(2):359 View
  43. Hensher M, Cooper P, Dona S, Angeles M, Nguyen D, Heynsbergh N, Chatterton M, Peeters A. Scoping review: Development and assessment of evaluation frameworks of mobile health apps for recommendations to consumers. Journal of the American Medical Informatics Association 2021;28(6):1318 View
  44. Ruf A, Koch E, Ebner-Priemer U, Knopf M, Reif A, Matura S. Studying Microtemporal, Within-Person Processes of Diet, Physical Activity, and Related Factors Using the APPetite-Mobile-App: Feasibility, Usability, and Validation Study. Journal of Medical Internet Research 2021;23(7):e25850 View
  45. Villegas F, Martínez-Borba V, Suso-Ribera C, Castilla D, Zaragoza I, García-Palacios A, Ferrer C. Characterizing Breakthrough Cancer Pain Using Ecological Momentary Assessment with a Smartphone App: Feasibility and Clinical Findings. International Journal of Environmental Research and Public Health 2021;18(11):5991 View
  46. Woolf T, Goheer A, Holzhauer K, Martinez J, Coughlin J, Martin L, Zhao D, Song S, Ahmad Y, Sokolinskyi K, Remayeva T, Clark J, Bennett W, Lehmann H. Development of a Mobile App for Ecological Momentary Assessment of Circadian Data: Design Considerations and Usability Testing. JMIR Formative Research 2021;5(7):e26297 View
  47. Lee H, Ahn J, Lee J. Development and Validation of a Questionnaire on the Feasibility of a Mobile Dietary Self-Monitoring Application. Korean Journal of Community Nutrition 2022;27(2):146 View
  48. Juengst S, McShan E, Conley M, Luu I, Driver S. Feasibility and Pilot Testing of Mobile Health Apps to Supplement 2 Healthy Lifestyle Interventions in Chronic Traumatic Brain Injury. Journal of Head Trauma Rehabilitation 2022;37(3):162 View
  49. Newton A, March S, Gehring N, Rowe A, Radomski A. Establishing a Working Definition of User Experience for eHealth Interventions of Self-reported User Experience Measures With eHealth Researchers and Adolescents: Scoping Review. Journal of Medical Internet Research 2021;23(12):e25012 View
  50. Lucassen D, Brouwer-Brolsma E, Slotegraaf A, Kok E, Feskens E. DIetary ASSessment (DIASS) Study: Design of an Evaluation Study to Assess Validity, Usability and Perceived Burden of an Innovative Dietary Assessment Methodology. Nutrients 2022;14(6):1156 View
  51. Chen S, Liu H, Lou V. Monitoring daily well-being and meaning-making tendencies among adult child working dementia caregivers: validating an experience sampling study protocol. BMC Geriatrics 2022;22(1) View
  52. Zhang D, Su T, Lyu B, Yang Y, Zhuo X. The effects of adolescent physical activity participation on cell phone dependence: The mediating role of self-control. Work 2022;72(4):1289 View
  53. Barchitta M, Maugeri A, Favara G, Magnano San Lio R, Riela P, Guarnera L, Battiato S, Agodi A. Development of a Web-App for the Ecological Momentary Assessment of Dietary Habits among College Students: The HEALTHY-UNICT Project. Nutrients 2022;14(2):330 View
  54. Eisele G, Vachon H, Lafit G, Kuppens P, Houben M, Myin-Germeys I, Viechtbauer W. The Effects of Sampling Frequency and Questionnaire Length on Perceived Burden, Compliance, and Careless Responding in Experience Sampling Data in a Student Population. Assessment 2022;29(2):136 View
  55. Sengupta A, Dutta K, Beckie T, Chellappan S. Designing a Health Coach-Augmented mHealth System for the Secondary Prevention of Coronary Heart Disease Among Women. IEEE Transactions on Engineering Management 2022;69(6):3085 View
  56. Battaglia B, Lee L, Jia S, Partridge S, Allman-Farinelli M. The Use of Mobile-Based Ecological Momentary Assessment (mEMA) Methodology to Assess Dietary Intake, Food Consumption Behaviours and Context in Young People: A Systematic Review. Healthcare 2022;10(7):1329 View
  57. Lin T, Park C, Kapella M, Martyn-Nemeth P, Tussing-Humphreys L, Rospenda K, Zenk S. Shift work domains and their interactions with empty calorie food/beverage consumption: A 14-day intensive longitudinal study. International Journal of Nursing Studies 2023;141:104490 View
  58. Neuser M, Kühnel A, Kräutlein F, Teckentrup V, Svaldi J, Kroemer N, Schleifer G. Reliability of gamified reinforcement learning in densely sampled longitudinal assessments. PLOS Digital Health 2023;2(9):e0000330 View
  59. Dominguez Garcia A, Mullan B, Dorina I. Predicting discretionary food consumption using temporal self-regulation theory and food reward sensitivity. Appetite 2023;190:107010 View
  60. Jia S, Allman-Farinelli M, Roy R, Phongsavan P, Hyun K, Gibson A, Partridge S. Using Mobile Ecological Momentary Assessment to Understand Consumption and Context Around Online Food Delivery Use: Pilot Feasibility and Acceptability Study. JMIR mHealth and uHealth 2023;11:e49135 View
  61. Sundquist K, Schwartz J, Burg M, Davidson K, Diaz K. Use of a Single-Item Ecological Momentary Assessment to Measure Daily Exercise: Agreement with Accelerometer-Measured Exercise. Sensors 2024;24(3):946 View
  62. Whitton C, Wong Y, Lau J, Chua X, Müller A, Tan C, van Dam R, Müller-Riemenschneider F, Rebello S. Ecological momentary assessment of digital food and beverage marketing exposure and impact in young adults: A feasibility study. Appetite 2024;197:107338 View

Books/Policy Documents

  1. Plue R, Jewett L, Widener M. Geospatial Technologies for Urban Health. View
  2. . The Cambridge Handbook of Research Methods in Clinical Psychology. View
  3. Ferguson S, Jahnel T, Elliston K, Shiffman S. The Cambridge Handbook of Research Methods in Clinical Psychology. View
  4. Colombo D, Suso-Ribera C, Fernández-Álvarez J, Cipresso P, García-Palacios A, Riva G, Botella C. Comprehensive Clinical Psychology. View
  5. Villasana M, Pires I, Sá J, Garcia N, Zdravevski E, Chorbev I, Lameski P. IoT Technologies for HealthCare. View
  6. Petteway R. Representation, Re-Presentation, and Resistance. View