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

mHealth for Wellness, Behavior Change and Prevention (2348) JMIR Theme Issue: COVID-19 Special Issue (2173) Big Data (174) Obesity and Nutrition as Public Health Problem (188) mHealth for Data Collection and Research (703)

Published on in Vol 9 , No 7 (2021) :July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26290, first published .
Exploring Associations Between Children’s Obesogenic Behaviors and the Local Environment Using Big Data: Development and Evaluation of the Obesity Prevention Dashboard

Exploring Associations Between Children’s Obesogenic Behaviors and the Local Environment Using Big Data: Development and Evaluation of the Obesity Prevention Dashboard

Exploring Associations Between Children’s Obesogenic Behaviors and the Local Environment Using Big Data: Development and Evaluation of the Obesity Prevention Dashboard

Authors of this article:

Dimitris Filos 1 Author Orcid Image ;   Irini Lekka 1 Author Orcid Image ;   Vasileios Kilintzis 1 Author Orcid Image ;   Leandros Stefanopoulos 1 Author Orcid Image ;   Youla Karavidopoulou 1 Author Orcid Image ;   Christos Maramis 1 Author Orcid Image ;   Christos Diou 2, 3 Author Orcid Image ;   Ioannis Sarafis 2 Author Orcid Image ;   Vasileios Papapanagiotou 2 Author Orcid Image ;   Leonidas Alagialoglou 2 Author Orcid Image ;   Ioannis Ioakeimidis 4 Author Orcid Image ;   Maria Hassapidou 5 Author Orcid Image ;   Evangelia Charmandari 6 Author Orcid Image ;   Rachel Heimeier 7 Author Orcid Image ;   Grace O'Malley 8 Author Orcid Image ;   Shane O’Donnell 9 Author Orcid Image ;   Gerardine Doyle 10 Author Orcid Image ;   Anastasios Delopoulos 2 Author Orcid Image ;   Nicos Maglaveras 1 Author Orcid Image
Article Authors Cited by (7) Tweetations (2) Metrics

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  2. Li C, Jordan A, Song J, Ge Y, Park A. A Novel Approach to Characterize State-level Food Environment and Predict Obesity Rate Using Social Media Data: Correlational Study. Journal of Medical Internet Research 2022;24(12):e39340 View
  3. Tufford A, Diou C, Lucassen D, Ioakimidis I, O'Malley G, Alagialoglou L, Charmandari E, Doyle G, Filis K, Kassari P, Kechadi T, Kilintzis V, Kok E, Lekka I, Maglaveras N, Pagkalos I, Papapanagiotou V, Sarafis I, Shahid A, van ’t Veer P, Delopoulos A, Mars M. Toward Systems Models for Obesity Prevention: A Big Role for Big Data. Current Developments in Nutrition 2022;6(9):nzac123 View
  4. Tufford A, Brennan L, van Trijp H, D'Auria S, Feskens E, Finglas P, Kok F, Kolesárová A, Poppe K, Zimmermann K, van ’t Veer P. A scientific transition to support the 21st century dietary transition. Trends in Food Science & Technology 2023;131:139 View
  5. Diou C, Kyritsis K, Papapanagiotou V, Sarafis I. Intake monitoring in free-living conditions: Overview and lessons we have learned. Appetite 2022;176:106096 View
  6. Ising A, Waller A, Frerichs L. Evaluation of an Emergency Department Visit Data Mental Health Dashboard. Journal of Public Health Management and Practice 2023;29(3):369 View