Jason M Nagata1, Puja Iyer1, Jonathan Chu1, Fiona C Baker2,3, Kelley Pettee Gabriel4, Andrea K Garber1, Stuart B Murray5, Kirsten Bibbins-Domingo6, Kyle T Ganson7. 1. Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA. 2. Center for Health Sciences, SRI International, Menlo Park, California, USA. 3. Department of Physiology, School of Physiology, University of the Witwatersrand, Johannesburg, South Africa. 4. Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA. 5. Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, California, USA. 6. Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA. 7. Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, Ontario, Canada.
Abstract
OBJECTIVE: There is a paucity of prospective research exploring the relationship among contemporary screen time modalities (e.g., video streaming, video chatting, texting and social networking) and body mass index (BMI) percentile. The objective of this study was to determine the prospective associations between screen time behaviours in a large and demographically diverse population-based cohort of 9-10-year-old children and BMI percentile at 1-year follow-up. METHODS: We analyzed prospective cohort data from the Adolescent Brain Cognitive Development (ABCD) Study (N = 11 066). Multiple linear regression analyses were conducted to estimate associations between baseline screen time behaviours (exposure) and BMI percentile at 1-year follow-up, adjusting for race/ethnicity, sex, household income, parent education, depression, binge-eating disorder and baseline BMI percentile. RESULTS: Each additional hour of total screen time per day was prospectively associated with a 0.22 higher BMI percentile at 1-year follow-up (95% CI 0.10-0.34) after adjusting for covariates. When examining specific screen time behaviours, each additional hour of texting (B = 0.92, 95% CI 0.29-1.55), video chat (B = 0.72, 95% CI 0.09-1.36) and video games (B = 0.42, 95% CI 0.06-0.78) was significantly prospectively associated with higher BMI percentile. CONCLUSIONS: Screen time is prospectively associated with a higher BMI percentile 1 year later among children 9-10 years old.
OBJECTIVE: There is a paucity of prospective research exploring the relationship among contemporary screen time modalities (e.g., video streaming, video chatting, texting and social networking) and body mass index (BMI) percentile. The objective of this study was to determine the prospective associations between screen time behaviours in a large and demographically diverse population-based cohort of 9-10-year-old children and BMI percentile at 1-year follow-up. METHODS: We analyzed prospective cohort data from the Adolescent Brain Cognitive Development (ABCD) Study (N = 11 066). Multiple linear regression analyses were conducted to estimate associations between baseline screen time behaviours (exposure) and BMI percentile at 1-year follow-up, adjusting for race/ethnicity, sex, household income, parent education, depression, binge-eating disorder and baseline BMI percentile. RESULTS: Each additional hour of total screen time per day was prospectively associated with a 0.22 higher BMI percentile at 1-year follow-up (95% CI 0.10-0.34) after adjusting for covariates. When examining specific screen time behaviours, each additional hour of texting (B = 0.92, 95% CI 0.29-1.55), video chat (B = 0.72, 95% CI 0.09-1.36) and video games (B = 0.42, 95% CI 0.06-0.78) was significantly prospectively associated with higher BMI percentile. CONCLUSIONS: Screen time is prospectively associated with a higher BMI percentile 1 year later among children 9-10 years old.
Authors: Jason M Nagata; Kyle T Ganson; Puja Iyer; Jonathan Chu; Fiona C Baker; Kelley Pettee Gabriel; Andrea K Garber; Stuart B Murray; Kirsten Bibbins-Domingo Journal: J Pediatr Date: 2021-09-02 Impact factor: 6.314
Authors: Jason M Nagata; Vivienne M Hazzard; Kyle T Ganson; Samantha L Hahn; Dianne Neumark-Sztainer; Marla E Eisenberg Journal: Int J Eat Disord Date: 2021-12-14 Impact factor: 5.791
Authors: Jason M Nagata; Gurbinder Singh; Omar M Sajjad; Kyle T Ganson; Alexander Testa; Dylan B Jackson; Shervin Assari; Stuart B Murray; Kirsten Bibbins-Domingo; Fiona C Baker Journal: Pediatr Res Date: 2022-06-29 Impact factor: 3.953