Published on 24.09.13 in Vol 15, No 9 (2013): September
Works citing "Monitoring Dietary Intake and Physical Activity Electronically: Feasibility, Usability, and Ecological Validity of a Mobile-Based Ecological Momentary Assessment Tool"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2617):
(note that this is only a small subset of citations)
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Comulada WS, 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
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Spruijt-Metz D, Wen CKF, Bell BM, Intille S, Huang JS, Baranowski T. Advances and Controversies in Diet and Physical Activity Measurement in Youth. American Journal of Preventive Medicine 2018;55(4):e81
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Rangelov N, Suggs LS, Marques-Vidal P. I did eat my vegetables. Agreement between parent and child food intake diaries. Public Health Nutrition 2016;19(17):3106
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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
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Cushing CC, Marker AM, Bejarano CM, Crick CJ, Huffhines LP. 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
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Enkema MC, Hallgren KA, Larimer ME. 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
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Bruening M, van Woerden I, Todd M, Brennhofer S, Laska MN, 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
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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
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. Technology in dietary assessment. Public Health Nutrition 2018;21(2):257
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Ryan P, Brown RL, Csuka ME, Papanek P. Efficacy of Osteoporosis Prevention Smartphone App. Nursing Research 2020;69(1):31
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van der Ploeg HP, Hillsdon M. Is sedentary behaviour just physical inactivity by another name?. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1)
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Klaassen B, van Beijnum B, Hermens H. Usability in telemedicine systems—A literature survey. International Journal of Medical Informatics 2016;93:57
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Schembre SM, Liao Y, O'Connor SG, Hingle MD, Shen S, Hamoy KG, Huh J, Dunton GF, Weiss R, Thomson CA, Boushey CJ. Mobile Ecological Momentary Diet Assessment Methods for Behavioral Research: Systematic Review. JMIR mHealth and uHealth 2018;6(11):e11170
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Sufrinko AM, Howie EK, Charek DB, Elbin RJ, Collins MW, Kontos AP. Mobile Ecological Momentary Assessment of Postconcussion Symptoms and Recovery Outcomes. Journal of Head Trauma Rehabilitation 2019;34(6):E40
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Liu H, Lou VWQ. 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
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Brannon EE, Cushing CC, Crick CJ, Mitchell TB. 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
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McKinney TL, Euler MJ, Butner JE. It’s about time: The role of temporal variability in improving assessment of executive functioning. The Clinical Neuropsychologist 2020;34(4):619
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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
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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)
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Saint-Maurice PF, Welk GJ. Web-Based Assessments of Physical Activity in Youth: Considerations for Design and Scale Calibration. Journal of Medical Internet Research 2014;16(12):e269
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Engel SG, Crosby RD, Thomas G, Bond D, Lavender JM, Mason T, Steffen KJ, Green DD, Wonderlich SA. Ecological Momentary Assessment in Eating Disorder and Obesity Research: a Review of the Recent Literature. Current Psychiatry Reports 2016;18(4)
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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
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Suso-Ribera C, Castilla D, Zaragozá I, Ribera-Canudas MV, Botella C, García-Palacios A. Validity, Reliability, Feasibility, and Usefulness of Pain Monitor. The Clinical Journal of Pain 2018;34(10):900
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Duncan DT, Kapadia F, Kirchner TR, Goedel WC, Brady WJ, Halkitis PN. Acceptability of ecological momentary assessment among young men who have sex with men. Journal of LGBT Youth 2017;14(4):436
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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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Maugeri A, Barchitta M. A Systematic Review of Ecological Momentary Assessment of Diet: Implications and Perspectives for Nutritional Epidemiology. Nutrients 2019;11(11):2696
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Zapata-Lamana R, Lalanza JF, Losilla J, Parrado E, Capdevila L. mHealth technology for ecological momentary assessment in physical activity research: a systematic review. PeerJ 2020;8:e8848
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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
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Ormel HL, van der Schoot GGF, Westerink NL, Sluiter WJ, Gietema JA, Walenkamp AME. 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
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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
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Loth KA, Fertig A, Trofholz A, Harnack L, Crosby R, Neumark-Sztainer D, Berge JM. 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
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Spook JE, 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
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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)
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Loveday A, Sherar LB, Sanders JP, Sanderson PW, Esliger DW. Technologies That Assess the Location of Physical Activity and Sedentary Behavior: A Systematic Review. Journal of Medical Internet Research 2015;17(8):e192
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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
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Davis TL, DiClemente R, Prietula M. Taking mHealth Forward: Examining the Core Characteristics. JMIR mHealth and uHealth 2016;4(3):e97
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Villasana MV, Pires IM, Sá J, Garcia NM, 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
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Hand RK, Perzynski AT. 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
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Villasana MV, Pires IM, Sá J, Garcia NM, Teixeira MC, 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
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Williams MT, 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
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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
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Spencer-Bonilla G, Serrano V, Gao C, Sanchez M, Carroll K, Gionfriddo MR, Behnken EM, Hargraves I, Boehmer K, May C, Montori VM. Patient Work and Treatment Burden in Type 2 Diabetes: A Mixed-Methods Study. Mayo Clinic Proceedings: Innovations, Quality & Outcomes 2021;5(2):359
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Hensher M, Cooper P, Dona SWA, Angeles MR, Nguyen D, Heynsbergh N, Chatterton ML, 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
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Ruf A, Koch ED, 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
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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
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Woolf TB, Goheer A, Holzhauer K, Martinez J, Coughlin JW, Martin L, Zhao D, Song S, Ahmad Y, Sokolinskyi K, Remayeva T, Clark JM, 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
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Lee H, Ahn JS, Lee JE. 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
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Juengst SB, 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
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Newton AS, March S, Gehring ND, Rowe AK, Radomski AD. 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
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Lucassen DA, Brouwer-Brolsma EM, Slotegraaf AI, Kok E, Feskens EJM. 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
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Chen S, Liu H, Lou VWQ. 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)
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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
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Barchitta M, Maugeri A, Favara G, Magnano San Lio R, Riela PM, 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
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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
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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
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Battaglia B, Lee L, Jia SS, Partridge SR, 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
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Lin T, Park CG, Kapella MC, Martyn-Nemeth P, Tussing-Humphreys L, Rospenda KM, Zenk SN. 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
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Neuser MP, Kühnel A, Kräutlein F, Teckentrup V, Svaldi J, Kroemer NB, Schleifer G. Reliability of gamified reinforcement learning in densely sampled longitudinal assessments. PLOS Digital Health 2023;2(9):e0000330
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Dominguez Garcia A, Mullan B, Dorina I. Predicting discretionary food consumption using temporal self-regulation theory and food reward sensitivity. Appetite 2023;190:107010
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Jia SS, Allman-Farinelli M, Roy R, Phongsavan P, Hyun K, Gibson AA, Partridge SR. 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
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Sundquist K, Schwartz JE, Burg MM, Davidson KW, Diaz KM. Use of a Single-Item Ecological Momentary Assessment to Measure Daily Exercise: Agreement with Accelerometer-Measured Exercise. Sensors 2024;24(3):946
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2617):
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Plue R, Jewett L, Widener MJ. Geospatial Technologies for Urban Health. 2020. Chapter 6:95
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. The Cambridge Handbook of Research Methods in Clinical Psychology. 2020. Part VI:299
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Ferguson SG, Jahnel T, Elliston K, Shiffman S. The Cambridge Handbook of Research Methods in Clinical Psychology. 2020. 23:301
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Colombo D, Suso-Ribera C, Fernández-Álvarez J, Cipresso P, García-Palacios A, Riva G, Botella C. Comprehensive Clinical Psychology. 2022. :106
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Villasana MV, Pires IM, Sá J, Garcia NM, Zdravevski E, Chorbev I, Lameski P. IoT Technologies for HealthCare. 2021. Chapter 10:139
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. Representation, Re-Presentation, and Resistance. 2022. Chapter 3:37
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