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

mHealth for Data Collection and Research (955) Innovations and Technology for Healthy Eating Education (414) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (111) Instruments and Questionnaires for Nutrition and Food Intake (166) Ecological Momentary Assessment (EMA) (311) mHealth for Wellness, Behavior Change and Prevention (2872)

Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15948, first published .
Comparison of Geographic Information System and Subjective Assessments of Momentary Food Environments as Predictors of Food Intake: An Ecological Momentary Assessment Study

Comparison of Geographic Information System and Subjective Assessments of Momentary Food Environments as Predictors of Food Intake: An Ecological Momentary Assessment Study

Comparison of Geographic Information System and Subjective Assessments of Momentary Food Environments as Predictors of Food Intake: An Ecological Momentary Assessment Study

Authors of this article:

Katherine G Elliston1 Author Orcid Image ;   Benjamin Schüz2, 3 Author Orcid Image ;   Tim Albion4 Author Orcid Image ;   Stuart G Ferguson1 Author Orcid Image
Article Authors Cited by (12) Tweetations (3) Metrics

Journals

  1. Franja S, Wahl D, Elliston K, Ferguson S. Comfort eating: An observational study of affect in the hours immediately before, and after, snacking. British Journal of Health Psychology 2021;26(3):825 View
  2. Stinson L, Liu Y, Dallery J. Ecological Momentary Assessment: A Systematic Review of Validity Research. Perspectives on Behavior Science 2022;45(2):469 View
  3. König L, Van Emmenis M, Nurmi J, Kassavou A, Sutton S. Characteristics of smartphone-based dietary assessment tools: a systematic review. Health Psychology Review 2022;16(4):526 View
  4. Li Y, Schofield E, Hay J. Unpacking Habit With Bayesian Mixed Models: Dynamic Approach to Health Behaviors With Interchangeable Elements, Illustrated Through Multiple Sun Protection Behaviors. The Quantitative Methods for Psychology 2023;19(3):265 View
  5. Kain J, Sandoval M, Orellana Y, Cruz N, Díez J, Weisstaub G. Socio-Spatial Segregation of Unhealthy Food Environments across Public Schools in Santiago, Chile. Nutrients 2023;16(1):108 View
  6. Aulbach M, van Alebeek H, Jones C, Blechert J. Why we don't eat as intended: Moderators of the short‐term intention–behaviour relation in food intake. British Journal of Health Psychology 2024;29(3):576 View
  7. Ganasegeran K, Abdul Manaf M, Safian N, Waller L, Abdul Maulud K, Mustapha F. GIS-Based Assessments of Neighborhood Food Environments and Chronic Conditions: An Overview of Methodologies. Annual Review of Public Health 2024;45(1):109 View
  8. Kingsbury C, Buzzi M, Chaix B, Kanning M, Khezri S, Kiani B, Kirchner T, Maurel A, Thierry B, Kestens Y. STROBE-GEMA: a STROBE extension for reporting of geographically explicit ecological momentary assessment studies. Archives of Public Health 2024;82(1) View
  9. Zhang Y, Li D, Li X, Zhou X, Newman G. The integration of geographic methods and ecological momentary assessment in public health research: A systematic review of methods and applications. Social Science & Medicine 2024;354:117075 View
  10. Dahl A, Ademu L, Fandetti S, Harris R. University Food Environment Assessment Methods and Their Implications: Protocol for a Systematic Review. JMIR Research Protocols 2024;13:e54955 View
  11. Hoenink J, Burgoine T, Forouhi N, Monsivais P, Sharp S, Panter J, Adams J. Associations of takeaway outlets with takeaway food consumption and adiposity: longitudinal analysis of the Fenland cohort. Obesity 2024 View

Books/Policy Documents

  1. Kestens Y, Kingsbury C. Environmental Neuroscience. View