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Association of Physical Activity and Screen Time With Body Mass Index Among US Adolescents.
Nagata, Jason M; Smith, Natalia; Alsamman, Sana; Lee, Christopher M; Dooley, Erin E; Kiss, Orsolya; Ganson, Kyle T; Wing, David; Baker, Fiona C; Gabriel, Kelley Pettee.
Afiliación
  • Nagata JM; Department of Pediatrics, University of California, San Francisco, San Francisco.
  • Smith N; Department of Pediatrics, University of California, San Francisco, San Francisco.
  • Alsamman S; Department of Pediatrics, University of California, San Francisco, San Francisco.
  • Lee CM; Department of Pediatrics, University of California, San Francisco, San Francisco.
  • Dooley EE; Department of Epidemiology, University of Alabama at Birmingham, Birmingham.
  • Kiss O; Center for Health Sciences, SRI International, Menlo Park, California.
  • Ganson KT; Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, Ontario, Canada.
  • Wing D; Exercise and Physical Activity Resource Center, University of California, San Diego, La Jolla.
  • Baker FC; Center for Wireless and Population Health Systems, University of California, San Diego, La Jolla.
  • Gabriel KP; Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla.
JAMA Netw Open ; 6(2): e2255466, 2023 02 01.
Article en En | MEDLINE | ID: mdl-36757695
ABSTRACT
Importance The Physical Activity Guidelines Advisory Committee Scientific Report identified important research gaps to inform future guidance for adolescents, including limited evidence on the importance of sedentary behaviors (screen time) and their interactions with physical activity for adolescent health outcomes, including overweight and obesity.

Objective:

To identify the independent associations of physical activity and screen time categories, and the interactions between physical activity and screen time categories, with body mass index (BMI) and overweight and obesity in adolescents. Design, Setting, and

Participants:

This cross-sectional study used data from the Adolescent Brain Cognitive Development (ABCD) Study collected from September 10, 2018, to September 29, 2020. Data were analyzed from July 8 to December 20, 2022. A total of 5797 adolescents aged 10 to 14 years from 21 racially and ethnically diverse study sites across the US were included in the analysis. Exposures Categories of total step count per day (with 1000 to 6000 steps per day indicating low, >6000 to 12 000 steps per day indicating medium, and >12 000 steps per day indicating high), as measured by a wearable digital device (Fitbit), and categories of self-reported screen time hours per day (with 0 to 4 hours per day indicating low, >4 to 8 hours per day indicating medium, and >8 hours per day indicating high). Main Outcomes and

Measures:

Participant BMI was calculated as weight in kilograms divided by height in meters squared and converted into sex- and age-specific percentiles in accordance with the Centers for Disease Control and Prevention growth curves and definitions. Individuals were classified as having overweight or obesity if their BMI was in the 85th percentile or higher for sex and age.

Results:

Among 5797 adolescents included in the analytic sample, 50.4% were male, 61.0% were White, 35.0% had overweight or obesity, and the mean (SD) age was 12.0 (0.6) years. Mean (SD) reported screen time use was 6.5 (5.4) hours per day, and mean (SD) overall step count was 9246.6 (3111.3) steps per day. In models including both screen time and step count, medium (risk ratio [RR], 1.24; 95% CI, 1.12-1.37) and high (RR, 1.29; 95% CI, 1.16-1.44) screen time categories were associated with higher overweight or obesity risk compared with the low screen time category. Medium (RR, 1.19; 95% CI, 1.06-1.35) and low (RR, 1.30; 95% CI, 1.11-1.51) step count categories were associated with higher overweight or obesity risk compared with the high step count category. Evidence of effect modification between screen time and step count was observed for BMI percentile. For instance, among adolescents with low screen use, medium step count was associated with a 1.55 higher BMI percentile, and low step count was associated with a 7.48 higher BMI percentile. However, among those with high screen use, step count categories did not significantly change the association with higher BMI percentile (low step count 8.79 higher BMI percentile; medium step count 8.76 higher BMI percentile; high step count 8.26 higher BMI percentile). Conclusions and Relevance In this cross-sectional study, a combination of low screen time and high step count was associated with lower BMI percentile in adolescents. These results suggest that high step count may not offset higher overweight or obesity risk for adolescents with high screen time, and low screen time may not offset higher overweight or obesity risk for adolescents with low step count. These findings addressed several research gaps identified by the Physical Activity Guidelines Advisory Committee Scientific Report and may be used to inform future screen time and physical activity guidance for adolescents.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sobrepeso / Tiempo de Pantalla Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Female / Humans / Male Idioma: En Revista: JAMA Netw Open Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sobrepeso / Tiempo de Pantalla Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Female / Humans / Male Idioma: En Revista: JAMA Netw Open Año: 2023 Tipo del documento: Article