Literature DB >> 27988020

United States Adolescents' Television, Computer, Videogame, Smartphone, and Tablet Use: Associations with Sugary Drinks, Sleep, Physical Activity, and Obesity.

Erica L Kenney1, Steven L Gortmaker2.   

Abstract

OBJECTIVE: To quantify the relationships between youth use of television (TV) and other screen devices, including smartphones and tablets, and obesity risk factors. STUDY
DESIGN: TV and other screen device use, including smartphones, tablets, computers, and/or videogames, was self-reported by a nationally representative, cross-sectional sample of 24 800 US high school students (2013-2015 Youth Risk Behavior Surveys). Students also reported on health behaviors including sugar-sweetened beverage (SSB) intake, physical activity, sleep, and weight and height. Sex-stratified logistic regression models, adjusting for the sampling design, estimated associations between TV and other screen device use and SSB intake, physical activity, sleep, and obesity.
RESULTS: Approximately 20% of participants used other screen devices for ≥5 hours daily. Watching TV ≥5 hours daily was associated with daily SSB consumption (aOR = 2.72, 95% CI: 2.23, 3.32) and obesity (aOR = 1.78, 95% CI: 1.40, 2.27). Using other screen devices ≥5 hours daily was associated with daily SSB consumption (aOR = 1.98, 95% CI: 1.69, 2.32), inadequate physical activity (aOR = 1.94, 95% CI: 1.69, 2.25), and inadequate sleep (aOR = 1.79, 95% CI: 1.54, 2.08).
CONCLUSIONS: Using smartphones, tablets, computers, and videogames is associated with several obesity risk factors. Although further study is needed, families should be encouraged to limit both TV viewing and newer screen devices.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  adolescents; mobile devices; obesity; sleep; sugar-sweetened beverages; television

Mesh:

Substances:

Year:  2016        PMID: 27988020     DOI: 10.1016/j.jpeds.2016.11.015

Source DB:  PubMed          Journal:  J Pediatr        ISSN: 0022-3476            Impact factor:   4.406


  49 in total

1.  Prevalence and Correlates of Hypersomnolence Symptoms in US Teens.

Authors:  Bhanu Prakash Kolla; Jian-Ping He; Meghna P Mansukhani; Suresh Kotagal; Mark A Frye; Kathleen R Merikangas
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2018-10-30       Impact factor: 8.829

2.  [Patterns of psychopathology and psychosocial background of patients at first presentation at the child and adolescent psychiatric outpatient department of the University Clinic Salzburg].

Authors:  Christine Skrivanek; Elisabeth Marte; Kornelius Winds; Leonhard Thun-Hohenstein; Belinda Plattner
Journal:  Neuropsychiatr       Date:  2019-06-13

Review 3.  Choice is relative: Reinforcing value of food and activity in obesity treatment.

Authors:  Katelyn A Carr; Leonard H Epstein
Journal:  Am Psychol       Date:  2020 Feb-Mar

4.  Concordance of Child and Parent Reports of Children's Screen Media Use.

Authors:  Charles T Wood; Asheley Cockrell Skinner; Jane D Brown; Callie L Brown; Janna B Howard; Michael J Steiner; Andrew J Perrin; Cary Levine; Sophie N Ravanbakht; Eliana M Perrin
Journal:  Acad Pediatr       Date:  2019-04-11       Impact factor: 3.107

5.  5-2-1-0 Lifestyle risk factors predict obesity in Millennials.

Authors:  Dennis J Kerrigan; Margaret R Rukstalis; Jonathan K Ehrman; Steven J Keteyian; Ruicong She; Gwen L Alexander
Journal:  Clin Obes       Date:  2019-03-25

Review 6.  Determinants and Interventions to Promote Water Consumption Among Adolescents: a Review of the Recent Literature.

Authors:  Lydi-Anne Vézina-Im; Dominique Beaulieu
Journal:  Curr Nutr Rep       Date:  2019-06

7.  Technology Components as Adjuncts to Family-Based Pediatric Obesity Treatment in Low-Income Minority Youth.

Authors:  Gina L Tripicchio; Alice S Ammerman; Cody Neshteruk; Myles S Faith; Kelsey Dean; Christie Befort; Dianne S Ward; Kimberly P Truesdale; Kyle S Burger; Ann Davis
Journal:  Child Obes       Date:  2017-07-20       Impact factor: 2.992

8.  Screen media activity and brain structure in youth: Evidence for diverse structural correlation networks from the ABCD study.

Authors:  Martin P Paulus; Lindsay M Squeglia; Kara Bagot; Joanna Jacobus; Rayus Kuplicki; Florence J Breslin; Jerzy Bodurka; Amanda Sheffield Morris; Wesley K Thompson; Hauke Bartsch; Susan F Tapert
Journal:  Neuroimage       Date:  2018-10-16       Impact factor: 6.556

9.  Prevalence and strategies of energy drink, soda, processed snack, candy and restaurant product marketing on the online streaming platform Twitch.

Authors:  Catherine C Pollack; Jason Kim; Jennifer A Emond; John Brand; Diane Gilbert-Diamond; Travis D Masterson
Journal:  Public Health Nutr       Date:  2020-07-03       Impact factor: 4.022

10.  Extracurricular Activities, Screen Media Activity, and Sleep May Be Modifiable Factors Related to Children's Cognitive Functioning: Evidence From the ABCD Study®.

Authors:  Namik Kirlic; Janna M Colaizzi; Kelly T Cosgrove; Zsofia P Cohen; Hung-Wen Yeh; Florence Breslin; Amanda S Morris; Robin L Aupperle; Manpreet K Singh; Martin P Paulus
Journal:  Child Dev       Date:  2021-04-26
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.