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

Demographics of Users, Social & Digital Divide (739) Screen Time for Children and Adolescents (53) mHealth for Wellness, Behavior Change and Prevention (2871) Obesity (75) Obesity and Nutrition as Public Health Problem (304)

Published on in Vol 23, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26485, first published .
Digital Technology Use and BMI: Evidence From a Cross-sectional Analysis of an Adolescent Cohort Study

Digital Technology Use and BMI: Evidence From a Cross-sectional Analysis of an Adolescent Cohort Study

Digital Technology Use and BMI: Evidence From a Cross-sectional Analysis of an Adolescent Cohort Study

Authors of this article:

Chen Shen1, 2 Author Orcid Image ;   Iroise Dumontheil3 Author Orcid Image ;   Michael Thomas3 Author Orcid Image ;   Martin Röösli4, 5 Author Orcid Image ;   Paul Elliott1, 2, 6 Author Orcid Image ;   Mireille Toledano1, 2, 7 Author Orcid Image
Article Authors Cited by (10) Tweetations (10) Metrics

Journals

  1. Schmutz C, Bürgler A, Ashta N, Soenksen J, Bou Karim Y, Shen C, Smith R, Jenkins R, Mireku M, Mutz J, Maes M, Hirst R, Chang I, Fleming C, Mussa A, Kesary D, Addison D, Maslanyj M, Toledano M, Röösli M, Eeftens M. Personal radiofrequency electromagnetic field exposure of adolescents in the Greater London area in the SCAMP cohort and the association with restrictions on permitted use of mobile communication technologies at school and at home. Environmental Research 2022;212:113252 View
  2. Eeftens M, Shen C, Sönksen J, Schmutz C, van Wel L, Liorni I, Vermeulen R, Cardis E, Wiart J, Toledano M, Röösli M. Modelling of daily radiofrequency electromagnetic field dose for a prospective adolescent cohort. Environment International 2023;172:107737 View
  3. Nota M, Nicolas S, O’Leary O, Nolan Y. Outrunning a bad diet: Interactions between exercise and a Western-style diet for adolescent mental health, metabolism and microbes. Neuroscience & Biobehavioral Reviews 2023;149:105147 View
  4. Börnhorst C, Pigeot I, De Henauw S, Formisano A, Lissner L, Molnár D, Moreno L, Tornaritis M, Veidebaum T, Vrijkotte T, Didelez V, Wolters M. The effects of hypothetical behavioral interventions on the 13-year incidence of overweight/obesity in children and adolescents. International Journal of Behavioral Nutrition and Physical Activity 2023;20(1) View
  5. Mateo-Orcajada A, Vaquero-Cristóbal R, Albaladejo-Saura M, Abenza-Cano L. The Degree of Problematic Technology Use Negatively Affects Physical Activity Level, Adherence to Mediterranean Diet and Psychological State of Adolescents. Healthcare 2023;11(12):1706 View
  6. Arimori H, Abiru N, Morimoto S, Nishino T, Kawakami A, Kamada A, Kobayashi M. Association between Lifestyle Factors and Weight Gain among University Students in Japan during COVID-19 Mild Lockdown: A Quantitative Study. Healthcare 2023;11(19):2630 View
  7. Toselli S, Grigoletto A, Zaccagni L, Gualdi-Russo E, Rinaldo N. A Pilot Study on the Association of Internet Use with Sports Practice and Sex in Italian Adolescents. Healthcare 2023;11(23):3075 View
  8. Yavuz E, Gahnstrom C, Goodroe S, Coutrot A, Hornberger M, Lazar A, Spiers H. Shorter self-reported sleep duration is associated with worse virtual spatial navigation performance in men. Scientific Reports 2024;14(1) View
  9. Riyas Basheer K, Fathima M, Nair G, Kolar R. Association between body mass index, quality of sleep, psychological status and blood pressure among smartphone using young adults. Journal of Orthopaedic Reports 2025;4(3):100403 View
  10. Presta V, Guarnieri A, Laurenti F, Mazzei S, Arcari M, Mirandola P, Vitale M, Chia M, Condello G, Gobbi G. The Impact of Digital Devices on Children’s Health: A Systematic Literature Review. Journal of Functional Morphology and Kinesiology 2024;9(4):236 View