Published on in Vol 18, No 7 (2016): July

A Mobile Ecological Momentary Assessment Tool (devilSPARC) for Nutrition and Physical Activity Behaviors in College Students: A Validation Study

A Mobile Ecological Momentary Assessment Tool (devilSPARC) for Nutrition and Physical Activity Behaviors in College Students: A Validation Study

A Mobile Ecological Momentary Assessment Tool (devilSPARC) for Nutrition and Physical Activity Behaviors in College Students: A Validation Study

Journals

  1. Maher J, Harduk M, Hevel D, Adams W, McGuirt J. Momentary Physical Activity Co-Occurs with Healthy and Unhealthy Dietary Intake in African American College Freshmen. Nutrients 2020;12(5):1360 View
  2. Reichert M, Giurgiu M, Koch E, Wieland L, Lautenbach S, Neubauer A, von Haaren-Mack B, Schilling R, Timm I, Notthoff N, Marzi I, Hill H, Brüßler S, Eckert T, Fiedler J, Burchartz A, Anedda B, Wunsch K, Gerber M, Jekauc D, Woll A, Dunton G, Kanning M, Nigg C, Ebner-Priemer U, Liao Y. Ambulatory assessment for physical activity research: State of the science, best practices and future directions. Psychology of Sport and Exercise 2020;50:101742 View
  3. Mulvaney S, Vaala S, Hood K, Lybarger C, Carroll R, Williams L, Schmidt D, Johnson K, Dietrich M, Laffel L. Mobile Momentary Assessment and Biobehavioral Feedback for Adolescents with Type 1 Diabetes: Feasibility and Engagement Patterns. Diabetes Technology & Therapeutics 2018;20(7):465 View
  4. Romanzini C, Romanzini M, Barbosa C, Batista M, Shigaki G, Ronque E. Characterization and Agreement Between Application of Mobile Ecological Momentary Assessment (mEMA) and Accelerometry in the Identification of Prevalence of Sedentary Behavior (SB) in Young Adults. Frontiers in Psychology 2019;10 View
  5. Pasman W, Hendriks H, Minekus M, de Ligt R, Scholtes-Timmerman M, Clabbers N, Leonards N, Johnson J, Bellmann S. Subjective feelings of appetite of wholegrain breakfasts evaluated under controlled, laboratory and ‘at home’ conditions. Physiology & Behavior 2018;194:285 View
  6. Ashurst J, van Woerden I, Dunton G, Todd M, Ohri-Vachaspati P, Swan P, Bruening M. The Association among Emotions and Food Choices in First-Year College Students Using mobile-Ecological Momentary Assessments. BMC Public Health 2018;18(1) View
  7. Romanzini C, Romanzini M, Batista M, Barbosa C, Shigaki G, Dunton G, Mason T, Ronque E. Methodology Used in Ecological Momentary Assessment Studies About Sedentary Behavior in Children, Adolescents, and Adults: Systematic Review Using the Checklist for Reporting Ecological Momentary Assessment Studies. Journal of Medical Internet Research 2019;21(5):e11967 View
  8. Kliemann N, Croker H, Johnson F, Beeken R. Development of the Top Tips Habit-Based Weight Loss App and Preliminary Indications of Its Usage, Effectiveness, and Acceptability: Mixed-Methods Pilot Study. JMIR mHealth and uHealth 2019;7(5):e12326 View
  9. 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
  10. Bruening M, Ohri-Vachaspati P, Brewis A, Laska M, Todd M, Hruschka D, Schaefer D, Whisner C, Dunton G. Longitudinal social networks impacts on weight and weight-related behaviors assessed using mobile-based ecological momentary assessments: Study Protocols for the SPARC study. BMC Public Health 2016;16(1) View
  11. 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
  12. Kliemann N, Vickerstaff V, Croker H, Johnson F, Nazareth I, Beeken R. The role of self-regulatory skills and automaticity on the effectiveness of a brief weight loss habit-based intervention: secondary analysis of the 10 top tips randomised trial. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1) View
  13. 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
  14. Prince S, Cardilli L, Reed J, Saunders T, Kite C, Douillette K, Fournier K, Buckley J. A comparison of self-reported and device measured sedentary behaviour in adults: a systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity 2020;17(1) View
  15. Whisner C, Maldonado J, Dente B, Krajmalnik-Brown R, Bruening M. Diet, physical activity and screen time but not body mass index are associated with the gut microbiome of a diverse cohort of college students living in university housing: a cross-sectional study. BMC Microbiology 2018;18(1) View
  16. Chau C, Pan W, Chen H. Employment status and temporal patterns of energy intake: Nutrition and Health Survey in Taiwan, 2005–2008. Public Health Nutrition 2017;20(18):3295 View
  17. 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
  18. Nigg C, Amrein M, Rackow P, Scholz U, Inauen J. Compensation and transfer effects of eating behavior change in daily life: Evidence from a randomized controlled trial. Appetite 2021;162:105170 View
  19. Ponnada A, Thapa-Chhetry B, Manjourides J, Intille S. Measuring Criterion Validity of Microinteraction Ecological Momentary Assessment (Micro-EMA): Exploratory Pilot Study With Physical Activity Measurement. JMIR mHealth and uHealth 2021;9(3):e23391 View
  20. Turner-McGrievy G, Yang C, Monroe C, Pellegrini C, West D. Is Burden Always Bad? Emerging Low-Burden Approaches to Mobile Dietary Self-monitoring and the Role Burden Plays with Engagement. Journal of Technology in Behavioral Science 2021;6(3):447 View
  21. Mauch C, Laws R, Prichard I, Maeder A, Wycherley T, Golley R. Commercially Available Apps to Support Healthy Family Meals: User Testing of App Utility, Acceptability, and Engagement. JMIR mHealth and uHealth 2021;9(5):e22990 View
  22. Trofholz A, Tate A, Janowiec M, Fertig A, Loth K, de Brito J, Berge J. Ecological Momentary Assessment of Weight-Related Behaviors in the Home Environment of Children From Low-Income and Racially and Ethnically Diverse Households: Development and Usability Study. JMIR Research Protocols 2021;10(12):e30525 View
  23. 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
  24. Jasbi P, Mohr A, Shi X, Mahmood T, Zhu Q, Bruening M, Gu H, Whisner C. Microbiome and metabolome profiles of high screen time in a cohort of healthy college students. Scientific Reports 2022;12(1) View
  25. Parmenter B, Burley C, Stewart C, Whife J, Champion K, Osman B, Newton N, Green O, Wescott A, Gardner L, Visontay R, Birrell L, Bryant Z, Chapman C, Lubans D, Sunderland M, Slade T, Thornton L. Measurement Properties of Smartphone Approaches to Assess Physical Activity in Healthy Young People: Systematic Review. JMIR mHealth and uHealth 2022;10(10):e39085 View
  26. Strohacker K, Toth L, Sheridan L, Crouter S. Tracking of Walking and Running for Exercise: Alignment Between Ecological Momentary Assessment and Accelerometer-Based Estimates. Journal for the Measurement of Physical Behaviour 2022;5(3):156 View
  27. van Woerden I, Bruening M. Social contexts are related to health behaviors: mEMA findings from the SPARC study. Appetite 2022;175:106042 View
  28. Sultoni K, Peralta L, Cotton W, Abdelbasset W. Using a design-based research approach to develop a technology-supported physical education course to increase the physical activity levels of university students: Study protocol paper. PLOS ONE 2022;17(12):e0269759 View
  29. Maugeri A, Magnano San Lio R, Favara G, La Rosa M, La Mastra C, Riela P, Guarnera L, Battiato S, Barchitta M, Agodi A. Impact of Eating Context on Dietary Choices of College Students: Evidence from the HEALTHY-UNICT Project. Nutrients 2022;14(20):4418 View
  30. Kennedy-Malone L, Hevel D, Sappenfield K, Scheer H, Zecca C, Maher J, Thorpe R. Low-Income, Older African Americans’ Engagement in and Perceptions of a Smartphone-Based Ecological Momentary Assessment Study of Physical Activity and Sedentary Behavior. Innovation in Aging 2022;6(1) View
  31. 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
  32. 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
  33. Thornton L, Osman B, Champion K, Green O, Wescott A, Gardner L, Stewart C, Visontay R, Whife J, Parmenter B, Birrell L, Bryant Z, Chapman C, Lubans D, Slade T, Torous J, Teesson M, Van de Ven P. Measurement Properties of Smartphone Approaches to Assess Diet, Alcohol Use, and Tobacco Use: Systematic Review. JMIR mHealth and uHealth 2022;10(2):e27337 View
  34. Stinson L, Liu Y, Dallery J. Ecological Momentary Assessment: A Systematic Review of Validity Research. Perspectives on Behavior Science 2022;45(2):469 View
  35. Åsberg K, Lundgren O, Henriksson H, Henriksson P, Bendtsen P, Löf M, Bendtsen M. Multiple lifestyle behaviour mHealth intervention targeting Swedish college and university students: protocol for the Buddy randomised factorial trial. BMJ Open 2021;11(12):e051044 View
  36. Barchitta M, Magnano San Lio R, La Rosa M, La Mastra C, Favara G, Ferrante G, Galvani F, Pappalardo E, Ettore C, Ettore G, Agodi A, Maugeri A. The Effect of Maternal Dietary Patterns on Birth Weight for Gestational Age: Findings from the MAMI-MED Cohort. Nutrients 2023;15(8):1922 View
  37. Murai U, Tajima R, Matsumoto M, Sato Y, Horie S, Fujiwara A, Koshida E, Okada E, Sumikura T, Yokoyama T, Ishikawa M, Kurotani K, Takimoto H. Validation of Dietary Intake Estimated by Web-Based Dietary Assessment Methods and Usability Using Dietary Records or 24-h Dietary Recalls: A Scoping Review. Nutrients 2023;15(8):1816 View
  38. Hartson K, Huntington-Moskos L, Sears C, Genova G, Mathis C, Ford W, Rhodes R. Use of Electronic Ecological Momentary Assessment Methodologies in Physical Activity, Sedentary Behavior, and Sleep Research in Young Adults: Systematic Review. Journal of Medical Internet Research 2023;25:e46783 View
  39. 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
  40. 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
  41. Monnaatsie M, Mielke G, Biddle S, Kolbe-Alexander T. Ecological momentary assessment of physical activity and sedentary behaviour in shift workers and non-shift workers: Validation study. Journal of Sports Sciences 2024;42(10):874 View
  42. Šuc A, Einfalt L, Šarabon N, Kastelic K. Validity and reliability of self-reported methods for assessment of 24-h movement behaviours: a systematic review. International Journal of Behavioral Nutrition and Physical Activity 2024;21(1) View
  43. Verbeke J, Matthys C. Experience Sampling as a dietary assessment method: a scoping review towards implementation. International Journal of Behavioral Nutrition and Physical Activity 2024;21(1) View