4.6 Article

Sociodemographic Correlates of Contemporary Screen Time Use among 9-and 10-Year-Old Children

Journal

JOURNAL OF PEDIATRICS
Volume 240, Issue -, Pages 213-+

Publisher

MOSBY-ELSEVIER
DOI: 10.1016/j.jpeds.2021.08.077

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Funding

  1. American Heart Association Career Development Award [CDA34760281]
  2. National Institutes of Health [K08HL159350, K23 MH115184, K24DK103992, U01DA041022, U01DA0 41025, U01DA041028, U01DA041048, U01DA041089, U01DA041093, U01DA041106, U01DA041117, U01DA04 1120, U01DA041134, U01DA041148, U01DA041156, U01DA041174, U24DA041123, U24DA041147]

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The study analyzed sociodemographic correlates of screen time use among 9- and 10-year-old children, finding differences based on factors such as gender, race/ethnicity, and household income. Black children reported more screen time per day on average, while Asian children reported less compared to White children. Boys reported higher overall screen time than girls, with girls spending more time on texting, social networking, and video chat.
Objective To determine sociodemographic correlates of contemporary screen time use among a diverse population-based sample of 9- and 10-year-old children. Study design In 2021, we analyzed cross-sectional baseline (2016-2018) data from the Adolescent Brain Cognitive Development study (n = 10 755). Multiple linear regression analyses were conducted to estimate associations between sociodemographic factors (sex, race/ethnicity, country of birth, household income, parental education) and 6 contemporary forms of screen time (television, videos [eg, YouTube], video games, social networking, texting, and video chat). Results On average, children reported 3.99 hours of screen time per day across 6 modalities, with the most time spent watching/streaming television shows/movies (1.31 hours), playing video games (1.06 hours), and watching/ streaming videos (1.05 hours). On average, Black children reported 1.58 more hours of screen time per day and Asian children reported 0.35 less hours of screen time per day compared with White children (mean 3.46 hours per day), and these trends persisted across most modalities. Boys reported higher overall screen time (0.75 hours more) than girls, which was primarily attributed to video games and videos. Girls reported more time texting, social networking, and video chatting than boys. Higher income was associated with lower screen time usage across all modalities except video chat. However, in high-income households, Latinx children reported 0.65 more hours of screen time per day than White children. Conclusions Given the sociodemographic differences in child screen use, guideline implementation strategies can focus on key populations, encourage targeted counseling by pediatricians, and adapt Family Media Use Plans for diverse backgrounds.

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