Published on in Vol 19, No 3 (2017): March

Ecological Momentary Assessment in Behavioral Research: Addressing Technological and Human Participant Challenges

Ecological Momentary Assessment in Behavioral Research: Addressing Technological and Human Participant Challenges

Ecological Momentary Assessment in Behavioral Research: Addressing Technological and Human Participant Challenges

Journals

  1. Kline C, Burke L, Sereika S, Imes C, Rockette-Wagner B, Mendez D, Strollo P, Zheng Y, Rathbun S, Chasens E. Bidirectional Relationships Between Weight Change and Sleep Apnea in a Behavioral Weight Loss Intervention. Mayo Clinic Proceedings 2018;93(9):1290 View
  2. Hamideh D, Nebeker C. The Digital Health Landscape in Addiction and Substance Use Research: Will Digital Health Exacerbate or Mitigate Health Inequities in Vulnerable Populations?. Current Addiction Reports 2020;7(3):317 View
  3. Webster J, Exley J, Copestake J, Davies R, Hargreaves J. Timely evaluation in international development. Journal of Development Effectiveness 2018;10(4):482 View
  4. Voinescu B. Common Sleep, Psychiatric, and Somatic Problems According to Work Schedule: an Internet Survey in an Eastern European Country. International Journal of Behavioral Medicine 2018;25(4):456 View
  5. Elliston K, Schüz B, Ferguson S. Inter-goal conflict and facilitation as predictors of adherence to dieting goals: an ecological momentary assessment study. Psychology & Health 2020;35(6):701 View
  6. Debeuf T, Verbeken S, Van Beveren M, Michels N, Braet C. Stress and Eating Behavior: A Daily Diary Study in Youngsters. Frontiers in Psychology 2018;9 View
  7. Dockray S, O'Neill S, Jump O. Measuring the Psychobiological Correlates of Daily Experience in Adolescents. Journal of Research on Adolescence 2019;29(3):595 View
  8. Griffiths S, Stefanovski A. Thinspiration and fitspiration in everyday life: An experience sampling study. Body Image 2019;30:135 View
  9. Zheng Y, Terry M, Danford C, Ewing L, Sereika S, Goode R, Mori A, Burke L. Experiences of Daily Weighing Among Successful Weight Loss Individuals During a 12-Month Weight Loss Study. Western Journal of Nursing Research 2018;40(4):462 View
  10. Carreiro S, Chai P, Carey J, Lai J, Smelson D, Boyer E. mHealth for the Detection and Intervention in Adolescent and Young Adult Substance Use Disorder. Current Addiction Reports 2018;5(2):110 View
  11. Porras-Segovia A, Molina-Madueño R, Berrouiguet S, López-Castroman J, Barrigón M, Pérez-Rodríguez M, Marco J, Díaz-Oliván I, de León S, Courtet P, Artés-Rodríguez A, Baca-García E. Smartphone-based ecological momentary assessment (EMA) in psychiatric patients and student controls: A real-world feasibility study. Journal of Affective Disorders 2020;274:733 View
  12. Drewnowski A, Buszkiewicz J, Aggarwal A, Rose C, Gupta S, Bradshaw A. Obesity and the Built Environment: A Reappraisal. Obesity 2020;28(1):22 View
  13. Ceasar J, Claudel S, Andrews M, Tamura K, Mitchell V, Brooks A, Dodge T, El-Toukhy S, Farmer N, Middleton K, Sabado-Liwag M, Troncoso M, Wallen G, Powell-Wiley T. Community Engagement in the Development of an mHealth-Enabled Physical Activity and Cardiovascular Health Intervention (Step It Up): Pilot Focus Group Study. JMIR Formative Research 2019;3(1):e10944 View
  14. Mendez D, Sanders S, Karimi H, Gharani P, Rathbun S, Gary-Webb T, Wallace M, Gianakas J, Burke L, Davis E. Understanding Pregnancy and Postpartum Health Using Ecological Momentary Assessment and Mobile Technology: Protocol for the Postpartum Mothers Mobile Study. JMIR Research Protocols 2019;8(6):e13569 View
  15. Mendez D, Sanders S, Lai Y, Wallace M, Rathbun S, Gary‐Webb T, Davis E, Burke L. Ecological momentary assessment of stress, racism and other forms of discrimination during pregnancy using smartphone technology. Paediatric and Perinatal Epidemiology 2020;34(5):522 View
  16. Byrne M. Gaps and priorities in advancing methods for health behaviour change research. Health Psychology Review 2020;14(1):165 View
  17. Tamura K, Langerman S, Ceasar J, Andrews M, Agrawal M, Powell-Wiley T. Neighborhood Social Environment and Cardiovascular Disease Risk. Current Cardiovascular Risk Reports 2019;13(4) View
  18. Gower A, Moreno M. A Novel Approach to Evaluating Mobile Smartphone Screen Time for iPhones: Feasibility and Preliminary Findings. JMIR mHealth and uHealth 2018;6(11):e11012 View
  19. Jones A, Remmerswaal D, Verveer I, Robinson E, Franken I, Wen C, Field M. Compliance with ecological momentary assessment protocols in substance users: a meta‐analysis. Addiction 2019;114(4):609 View
  20. Warren C, Pentz M. The feasibility and acceptability of assessing inhibitory control and working memory among adolescents via an ecological momentary assessment approach. Child Neuropsychology 2019;25(8):1022 View
  21. Milton I, Sillence E, Mitchell M. Exploring the emotional experiences of alcohol hangover syndrome in healthy UK-based adults. Drugs: Education, Prevention and Policy 2020;27(3):248 View
  22. Gavin K, Welch W, Conroy D, Kozey-Keadle S, Pellegrini C, Cottrell A, Nielsen A, Solk P, Siddique J, Phillips S. Sedentary behavior after breast cancer: motivational, demographic, disease, and health status correlates of sitting time in breast cancer survivors. Cancer Causes & Control 2019;30(6):569 View
  23. Niks I, van Drongelen A, de Korte E. Promoting Employees’ Recovery During Shift Work: Protocol for a Workplace Intervention Study. JMIR Research Protocols 2020;9(7):e17368 View
  24. Kee F, Taylor-Robinson D. Scientific challenges for precision public health. Journal of Epidemiology and Community Health 2020;74(4):311 View
  25. Soyster P, Fisher A, Perzynski A. Involving stakeholders in the design of ecological momentary assessment research: An example from smoking cessation. PLOS ONE 2019;14(5):e0217150 View
  26. Katapally T, Chu L. Digital epidemiological and citizen science methodology to capture prospective physical activity in free-living conditions: a SMART Platform study. BMJ Open 2020;10(6):e036787 View
  27. Cole C, Anshari D, Lambert V, Thrasher J, Valafar H. Detecting Smoking Events Using Accelerometer Data Collected Via Smartwatch Technology: Validation Study. JMIR mHealth and uHealth 2017;5(12):e189 View
  28. Looby S. Do you have a “moment” to text? Symptom evaluation using ecological momentary assessment and text messaging in women with HIV. Menopause 2019;26(12):1363 View
  29. Thong M, Chan R, van den Hurk C, Fessele K, Tan W, Poprawski D, Fernández-Ortega P, Paterson C, Fitch M. Going beyond (electronic) patient-reported outcomes: harnessing the benefits of smart technology and ecological momentary assessment in cancer survivorship research. Supportive Care in Cancer 2021;29(1):7 View
  30. Gindidis S, Stewart S, Roodenburg J. A systematic scoping review of adolescent mental health treatment using mobile apps. Advances in Mental Health 2019;17(2):161 View
  31. Gaebel C, Rittner S, Stoffel M, Jarczok M, Aguilar-Raab C, Ditzen B, Warth M. Study protocol of the MUSED study: A randomized controlled trial to evaluate the psychobiological effects of group music therapy in women with depression. Nordic Journal of Music Therapy 2021;30(2):131 View
  32. Nichols M, Miller S, Treiber F, Ruggiero K, Dawley E, Teufel II R. Patient and Parent Perspectives on Improving Pediatric Asthma Self-Management Through a Mobile Health Intervention: Pilot Study. JMIR Formative Research 2020;4(7):e15295 View
  33. Sun R, Rohay J, Sereika S, Zheng Y, Yu Y, Burke L. Psychometric Evaluation of the Barriers to Healthy Eating Scale: Results from Four Independent Weight Loss Studies. Obesity 2019;27(5):700 View
  34. Yu Y, Sereika S, Finegold D, Burke L. Problem-solving, Adherence to Lifestyle Goals, and Weight Loss Among Individuals Participating in a Weight Loss Study. International Journal of Behavioral Medicine 2021;28(3):328 View
  35. Timmer B, Hickson L, Launer S. The use of ecological momentary assessment in hearing research and future clinical applications. Hearing Research 2018;369:24 View
  36. Ozga-Hess J, Felicione N, Ferguson S, Dino G, Elswick D, Whitworth C, Turiano N, Blank M. Piloting a clinical laboratory method to evaluate the influence of potential modified risk tobacco products on smokers' quit-related motivation, choice, and behavior. Addictive Behaviors 2019;99:106105 View
  37. Doherty K, Balaskas A, Doherty G. The Design of Ecological Momentary Assessment Technologies. Interacting with Computers 2020;32(3):257 View
  38. Axén I, Jensen I, Butler Forslund E, Grahn B, Jørgensen V, Opava C, Bodin L. Frequently repeated measurements -our experience of collecting data with SMS. BMC Medical Research Methodology 2020;20(1) View
  39. Katapally T, Bhawra J, Leatherdale S, Ferguson L, Longo J, Rainham D, Larouche R, Osgood N. The SMART Study, a Mobile Health and Citizen Science Methodological Platform for Active Living Surveillance, Integrated Knowledge Translation, and Policy Interventions: Longitudinal Study. JMIR Public Health and Surveillance 2018;4(1):e31 View
  40. Burke L, Sereika S, Parmanto B, Beatrice B, Cajita M, Loar I, Pulantara I, Wang Y, Kariuki J, Yu Y, Cedillo M, Cheng J, Conroy M. The SMARTER Trial: Design of a trial testing tailored mHealth feedback to impact self-monitoring of diet, physical activity, and weight. Contemporary Clinical Trials 2020;91:105958 View
  41. Bader C, Skurla M, Vahia I. Technology in the Assessment, Treatment, and Management of Depression. Harvard Review of Psychiatry 2020;28(1):60 View
  42. Geyer E, Fua K, Daniel K, Chow P, Bonelli W, Huang Y, Barnes L, Teachman B. I Did OK, but Did I Like It? Using Ecological Momentary Assessment to Examine Perceptions of Social Interactions Associated With Severity of Social Anxiety and Depression. Behavior Therapy 2018;49(6):866 View
  43. van Ommen B, Wopereis S, van Empelen P, van Keulen H, Otten W, Kasteleyn M, Molema J, de Hoogh I, Chavannes N, Numans M, Evers A, Pijl H. From Diabetes Care to Diabetes Cure—The Integration of Systems Biology, eHealth, and Behavioral Change. Frontiers in Endocrinology 2018;8 View
  44. Paolillo E, Tang B, Depp C, Rooney A, Vaida F, Kaufmann C, Mausbach B, Moore D, Moore R. Temporal Associations Between Social Activity and Mood, Fatigue, and Pain in Older Adults With HIV: An Ecological Momentary Assessment Study. JMIR Mental Health 2018;5(2):e38 View
  45. Schinkel-Bielefeld N, Kunz P, Zutz A, Buder B. Evaluation of Hearing Aids in Everyday Life Using Ecological Momentary Assessment: What Situations Are We Missing?. American Journal of Audiology 2020;29(3S):591 View
  46. Biello K, Salhaney P, Valente P, Childs E, Olson J, Earlywine J, Marshall B, R Bazzi A. Ecological momentary assessment of daily drug use and harm reduction service utilization among people who inject drugs in non-urban areas: A concurrent mixed-method feasibility study. Drug and Alcohol Dependence 2020;214:108167 View
  47. Fonseka T, Bhat V, Kennedy S. The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors. Australian & New Zealand Journal of Psychiatry 2019;53(10):954 View
  48. Short C, DeSmet A, Woods C, Williams S, Maher C, Middelweerd A, Müller A, Wark P, Vandelanotte C, Poppe L, Hingle M, Crutzen R. Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies. Journal of Medical Internet Research 2018;20(11):e292 View
  49. Demers M, Winstein C. A perspective on the use of ecological momentary assessment and intervention to promote stroke recovery and rehabilitation. Topics in Stroke Rehabilitation 2020:1 View
  50. Dol A, Bode C, Velthuijsen H, van Strien T, van Gemert-Pijnen L. Application of three different coaching strategies through a virtual coach for people with emotional eating: a vignette study. Journal of Eating Disorders 2021;9(1) View
  51. 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
  52. Sükei E, Norbury A, Perez-Rodriguez M, Olmos P, Artés A. Predicting Emotional States Using Behavioral Markers Derived From Passively Sensed Data: Data-Driven Machine Learning Approach. JMIR mHealth and uHealth 2021;9(3):e24465 View
  53. Juengst S, Terhorst L, Nabasny A, Wallace T, Weaver J, Osborne C, Burns S, Wright B, Wen P, Kew C, Morris J. Use of mHealth Technology for Patient-Reported Outcomes in Community-Dwelling Adults with Acquired Brain Injuries: A Scoping Review. International Journal of Environmental Research and Public Health 2021;18(4):2173 View
  54. Lentferink A, Noordzij M, Burgler A, Klaassen R, Derks Y, Oldenhuis H, Velthuijsen H, van Gemert-Pijnen L. On the receptivity of employees to just-in-time self-tracking and eCoaching for stress management: a mixed-methods approach. Behaviour & Information Technology 2021:1 View
  55. Tarca B, Jesudason S, Le Leu R, Ovenden M, Borlace M, Meade A, Bennett P, Wycherley T, Boyle T, Ferrar K. Ecological momentary assessment to explore fatigue, mood and physical activity levels in people receiving peritoneal dialysis: A study protocol. Peritoneal Dialysis International: Journal of the International Society for Peritoneal Dialysis 2021;41(5):502 View
  56. Hagger M, Orbell S. The common sense model of illness self-regulation: a conceptual review and proposed extended model. Health Psychology Review 2021:1 View
  57. Krug I, Selvaraja P, Fuller-Tyszkiewicz M, Hughes E, Slater A, Griffiths S, Yee Z, Richardson B, Blake K. The effects of fitspiration images on body attributes, mood and eating behaviors: An experimental Ecological Momentary Assessment study in females. Body Image 2020;35:279 View
  58. Brooks A, Allen H, Thornton L, Trevorrow T. Behavioral medicine challenges in the shadow of a global pandemic. Translational Behavioral Medicine 2021;11(2):664 View
  59. Kline C, Chasens E, Bizhanova Z, Sereika S, Buysse D, Imes C, Kariuki J, Mendez D, Cajita M, Rathbun S, Burke L. The association between sleep health and weight change during a 12-month behavioral weight loss intervention. International Journal of Obesity 2021;45(3):639 View
  60. Imes C, Bizhanova Z, Kline C, Rockette-Wagner B, Chasens E, Sereika S, Burke L. Bidirectional relationship between sleep and sedentary behavior in adults with overweight or obesity: A secondary analysis. SLEEP Advances 2021;2(1) View
  61. Connelly M, Boorigie M. Feasibility of using “SMARTER” methodology for monitoring precipitating conditions of pediatric migraine episodes. Headache: The Journal of Head and Face Pain 2021;61(3):500 View
  62. Gharani P, Karimi H, Syzdykbayev M, Burke L, Rathbun S, Davis E, Gary-Webb T, Mendez D. Geographically-explicit Ecological Momentary Assessment (GEMA) Architecture and Components: Lessons Learned from PMOMS. Informatics for Health and Social Care 2021;46(2):158 View
  63. Campara J, Da Costa N, Matsushita R, Da Silva S. Two selves and two minds in a longitudinal survey of risk attitudes. Journal of Behavioral and Experimental Finance 2021;29:100444 View
  64. 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
  65. Zhou Y, O’Hara A, Ishado E, Borson S, Sadak T, Heyn P. Developing a New Behavioral Framework for Dementia Care Partner Resilience: A Mixed Research Synthesis. The Gerontologist 2020 View
  66. Stewart M, Nezich T, Lee J, Hasson R, Colabianchi N. Using a Mobile Phone App to Analyze the Relationship Between Planned and Performed Physical Activity in University Students: Observational Study. JMIR mHealth and uHealth 2021;9(4):e17581 View
  67. Folch D, Fowler C, Mikaelian L. Day time, night time, over time: geographic and temporal uncertainty when linking event and contextual data. Environmental Health 2021;20(1) View
  68. Capizzi R, Fisher M, Biagianti B, Ghiasi N, Currie A, Fitzpatrick K, Albertini N, Vinogradov S. Testing a Novel Web-Based Neurocognitive Battery in the General Community: Validation and Usability Study. Journal of Medical Internet Research 2021;23(5):e25082 View
  69. Sedano-Capdevila A, Porras-Segovia A, Bello H, Baca-García E, Barrigon M. Use of Ecological Momentary Assessment to Study Suicidal Thoughts and Behavior: a Systematic Review. Current Psychiatry Reports 2021;23(7) View
  70. Heino M, Knittle K, Noone C, Hasselman F, Hankonen N. Studying Behaviour Change Mechanisms under Complexity. Behavioral Sciences 2021;11(5):77 View
  71. Massar S, Chua X, Soon C, Ng A, Ong J, Chee N, Lee T, Ghosh A, Chee M. Trait-like nocturnal sleep behavior identified by combining wearable, phone-use, and self-report data. npj Digital Medicine 2021;4(1) View
  72. Daniëls N, Hochstenbach L, van Zelst C, van Bokhoven M, Delespaul P, Beurskens A. Factors That Influence the Use of Electronic Diaries in Health Care: Scoping Review. JMIR mHealth and uHealth 2021;9(6):e19536 View
  73. Beres L, Mbabali I, Anok A, Katabalwa C, Mulamba J, Thomas A, Bugos E, Nakigozi G, Grabowski M, Chang L. Mobile Ecological Momentary Assessment and Intervention and Health Behavior Change Among Adults in Rakai, Uganda: Pilot Randomized Controlled Trial. JMIR Formative Research 2021;5(7):e22693 View
  74. Wonderlich J, Bershad M, Steinglass J. Exploring Neural Mechanisms Related to Cognitive Control, Reward, and Affect in Eating Disorders: A Narrative Review of FMRI Studies. Neuropsychiatric Disease and Treatment 2021;Volume 17:2053 View
  75. Do B, Wang S, Courtney J, Dunton G. Examining the day-level impact of physical activity on affect during the early months of the COVID-19 pandemic: An ecological momentary assessment study. Psychology of Sport and Exercise 2021;56:102010 View
  76. Omowale S, Casas A, Lai Y, Sanders S, Hill A, Wallace M, Rathbun S, Gary-Webb T, Burke L, Davis E, Mendez D. Trends in stress among pregnant and postpartum women during the COVID-19 pandemic (Preprint). JMIR Mental Health 2021 View
  77. Jones S, Moore R, Pinkham A, Depp C, Granholm E, Harvey P. A cross-diagnostic study of adherence to ecological momentary assessment: Comparisons across study length and daily survey frequency find that early adherence is a potent predictor of study-long adherence. Personalized Medicine in Psychiatry 2021;29-30:100085 View
  78. Eisma M, Franzen M, Paauw M, Bleeker A, Rot M. Rumination, worry and negative and positive affect in prolonged grief: A daily diary study. Clinical Psychology & Psychotherapy 2021 View
  79. Chen-Sankey J, van de Venne J, Westneat S, Rahman B, Folger S, Anesetti-Rothermel A, Debnam C, Ribisl K, Cohn A, Rose S. Real-Time Context of Tobacco Marketing Exposure and Community Vulnerability—An Ecological Momentary Assessment Among Young Adults. Annals of Behavioral Medicine 2021 View
  80. 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
  81. Mayer-Hamblett N, Nichols D, Odem-Davis K, Riekert K, Sawicki G, Donaldson S, Ratjen F, Konstan M, Simon N, Rosenbluth D, Retsch-Bogart G, Clancy J, VanDalfsen J, Buckingham R, Gifford A. Evaluating the Impact of Stopping Chronic Therapies after Modulator Drug Therapy in Cystic Fibrosis: The SIMPLIFY Clinical Trial Study Design. Annals of the American Thoracic Society 2021;18(8):1397 View

Books/Policy Documents

  1. Ferguson S, Jahnel T, Elliston K, Shiffman S. The Cambridge Handbook of Research Methods in Clinical Psychology. View
  2. Paglialonga A, Pinciroli F, Tognola G. Tele-Audiology and the Optimization of Hearing Healthcare Delivery. View
  3. Paglialonga A, Mastropietro A, Scalco E, Rizzo G. m_Health Current and Future Applications. View
  4. Deutsch B, Piccirillo J. . View
  5. . The Cambridge Handbook of Research Methods in Clinical Psychology. View
  6. Maramis C, Ioakimidis I, Kilintzis V, Stefanopoulos L, Lekka E, Papapanagiotou V, Diou C, Delopoulos A, Kassari P, Charmandari E, Maglaveras N. Wireless Mobile Communication and Healthcare. View