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

mHealth for Wellness, Behavior Change and Prevention (2871) Mobile Health (mhealth) (2939) Use and User Demographics of mHealth (335)

Published on in Vol 5, No 4 (2017): April

Use of Fitness and Nutrition Apps: Associations With Body Mass Index, Snacking, and Drinking Habits in Adolescents

Use of Fitness and Nutrition Apps: Associations With Body Mass Index, Snacking, and Drinking Habits in Adolescents

Use of Fitness and Nutrition Apps: Associations With Body Mass Index, Snacking, and Drinking Habits in Adolescents

Authors of this article:

Nathalie De Cock1 Author Orcid Image ;   Jolien Vangeel2 Author Orcid Image ;   Carl Lachat1 Author Orcid Image ;   Kathleen Beullens2 Author Orcid Image ;   Leentje Vervoort3 Author Orcid Image ;   Lien Goossens3 Author Orcid Image ;   Lea Maes4 Author Orcid Image ;   Benedicte Deforche4, 5 Author Orcid Image ;   Stefaan De Henauw6 Author Orcid Image ;   Caroline Braet3 Author Orcid Image ;   Steven Eggermont2 Author Orcid Image ;   Patrick Kolsteren1 Author Orcid Image ;   John Van Camp1 Author Orcid Image ;   Wendy Van Lippevelde4 Author Orcid Image
Article Authors Cited by (22) Tweetations (12) Metrics

Journals

  1. Lupton D. ‘Better understanding about what's going on’: young Australians’ use of digital technologies for health and fitness. Sport, Education and Society 2020;25(1):1 View
  2. Kosa S, Monize J, D'Souza M, Joshi A, Philip K, Reza S, Samra S, Serrago B, Thabane L, Gafni A, Lok C. Nutritional Mobile Applications for CKD Patients: Systematic Review. Kidney International Reports 2019;4(3):399 View
  3. Régnier F, Chauvel L. Digital Inequalities in the Use of Self-Tracking Diet and Fitness Apps: Interview Study on the Influence of Social, Economic, and Cultural Factors. JMIR mHealth and uHealth 2018;6(4):e101 View
  4. Plateau C, Bone S, Lanning E, Meyer C. Monitoring eating and activity: Links with disordered eating, compulsive exercise, and general wellbeing among young adults. International Journal of Eating Disorders 2018;51(11):1270 View
  5. Pistella J, Ioverno S, Rodgers M, Russell S. The contribution of school safety to weight‐related health behaviors for transgender youth. Journal of Adolescence 2020;78(1):33 View
  6. Nikolaou C, Tay Z, Leu J, Rebello S, Te Morenga L, Van Dam R, Lean M. Young People’s Attitudes and Motivations Toward Social Media and Mobile Apps for Weight Control: Mixed Methods Study. JMIR mHealth and uHealth 2019;7(10):e11205 View
  7. Bt Wan Mohamed Radzi C, Salarzadeh Jenatabadi H, Samsudin N. mHealth Apps Assessment among Postpartum Women with Obesity and Depression. Healthcare 2020;8(2):72 View
  8. Moral-García J, Agraso-López A, Ramos-Morcillo A, Jiménez A, Jiménez-Eguizábal A. The Influence of Physical Activity, Diet, Weight Status and Substance Abuse on Students’ Self-Perceived Health. International Journal of Environmental Research and Public Health 2020;17(4):1387 View
  9. Marchetti G, Fraiz F, Nascimento W, Soares G, Assunção L. Improving adolescents’ periodontal health: evaluation of a mobile oral health App associated with conventional educational methods: a cluster randomized trial. International Journal of Paediatric Dentistry 2018;28(4):410 View
  10. Wang G, Zhou S, Rezaei S, Liu X, Huang A. An Ambulatory Blood Pressure Monitor Mobile Health System for Early Warning for Stroke Risk: Longitudinal Observational Study. JMIR mHealth and uHealth 2019;7(10):e14926 View
  11. Tay W, Kaur B, Quek R, Lim J, Henry C. Current Developments in Digital Quantitative Volume Estimation for the Optimisation of Dietary Assessment. Nutrients 2020;12(4):1167 View
  12. Scheerman J, van Empelen P, van Loveren C, van Meijel B. A Mobile App (WhiteTeeth) to Promote Good Oral Health Behavior Among Dutch Adolescents with Fixed Orthodontic Appliances: Intervention Mapping Approach. JMIR mHealth and uHealth 2018;6(8):e163 View
  13. Nirdnoy N, Sranacharoenpong K, Mayurasakorn K, Surawit A, Pinsawas B, Mongkolsucharitkul P, Pongkunakorn T, Suta S. Development of the Thai semiquantitative food frequency questionnaire (semi-FFQ) for people at risk for metabolic syndrome. Journal of Public Health 2023;31(1):1 View
  14. Lupton D. Young People’s Use of Digital Health Technologies in the Global North: Narrative Review. Journal of Medical Internet Research 2021;23(1):e18286 View
  15. Zečević M, Mijatović D, Kos Koklič M, Žabkar V, Gidaković P. User Perspectives of Diet-Tracking Apps: Reviews Content Analysis and Topic Modeling. Journal of Medical Internet Research 2021;23(4):e25160 View
  16. Caon M, Prinelli F, Angelini L, Carrino S, Mugellini E, Orte S, Serrano J, Atkinson S, Martin A, Adorni F. PEGASO e-Diary: User Engagement and Dietary Behavior Change of a Mobile Food Record for Adolescents. Frontiers in Nutrition 2022;9 View
  17. Preiss M, Vogt J, Dreher C, Schreiner M. Trends Shaping Western European Agrifood Systems of the Future. Sustainability 2022;14(21):13976 View
  18. Gulec H, Smahel D. Individual and Parental Factors of Adolescents’ mHealth App Use: Nationally Representative Cross-sectional Study. JMIR mHealth and uHealth 2022;10(12):e40340 View
  19. Thomé C. Quantifier le corps menstrué. Réseaux 2023;N° 241(5):275 View
  20. Gazibara T, Cakic M, Cakic J, Grgurevic A, Pekemezovic T. Sociodemographic Characteristics and Digital Behaviors Associated with the Use of Fitness and Diet Apps Among Adolescents. Journal of Research in Health Sciences 2024;24(3):e00619 View
  21. Mateo-Orcajada A, Vaquero-Cristóbal R, Abenza-Cano L, Duradoni M. The Use of Physical Activity Mobile Apps Improves the Psychological State of Adolescents: A Randomized Controlled Trial. Human Behavior and Emerging Technologies 2024;2024(1) View