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

Nagata, Jason M.; Ganson, Kyle T.; Iyer, Puja; Chu, Jonathan; Baker, Fiona C.; Gabriel, Kelley Pettee; Garber, Andrea K.; Murray, Stuart B.; Bibbins‐Domingo, Kirsten

doi:10.1016/j.jpeds.2021.08.077

Cited by 45 publications

(51 citation statements)

References 47 publications

(42 reference statements)

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“…Boys on average spend more time playing video games than girls, while girls on average spend more time on social media and texting than boys, which was previously shown in the baseline ABCD cohort. 16 Significant sex differences occurred in all domains of problematic screen use, but the effect was most prominent in problematic video game use. These differences could be informed by children facing increased pressure to conform to culturally sanctified gender roles from an early age.…”

Section: Discussionmentioning

confidence: 97%

“…Children who belong to minority groups or groups from lower socioeconomic backgrounds report higher levels of screen time than their white peers or peers from higher socioeconomic backgrounds, respectively. 15 , 16 Among a sample of US adolescents, black eighth graders reported higher daily use of video games compared to their white counterparts, even after controlling for socioeconomic status. 17 Social media use tends to be higher in girls than boys.…”

Section: Introductionmentioning

confidence: 99%

“… 17 Social media use tends to be higher in girls than boys. 16 One Turkish study investigating social media addiction found associations with age and income. 8 A study of vocational students in Switzerland demonstrated that problematic mobile phone use was more prevalent in children aged 15–16 compared to 19 years or older.…”

Section: Introductionmentioning

confidence: 99%

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Social epidemiology of early adolescent problematic screen use in the United States

et al. 2022

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Objective To determine sociodemographic correlates of problematic screen use (social media, video games, mobile phones) among a racially/ethnically and socioeconomically diverse population-based sample of 10–14-year-old early adolescents. Study design We analyzed cross-sectional data from the Adolescent Brain Cognitive Development Study (Year 2, 2018–2020; N = 8753). Multiple linear regression analyses were used to estimate associations between sociodemographic factors (age, sex, race/ethnicity, primary language, household income, parental education) and adolescent-reported problematic video game (Video Game Addiction Questionnaire), social media (Social Media Addiction Questionnaire), and mobile phone use (Mobile Phone Involvement Questionnaire). Results Boys reported higher problematic video game use while girls reported higher problematic social media and mobile phone use. Native American, black, and Latinx adolescents reported higher scores across all problematic screen measures compared to non-Latinx white adolescents. Having unmarried/unpartnered parents was associated with higher problematic social media use. Although higher household income was generally protective against problematic video game use, these associations were weaker for black than white adolescents (p for interaction <0.05). Conclusions Given the sociodemographic differences in problematic screen use, digital literacy education strategies can focus on at-risk populations, encourage targeted counseling by pediatricians, and adapt family media use plans for diverse backgrounds. Impact While sociodemographic differences in screen time are documented, we examined sociodemographic differences in problematic screen use in a large, diverse sample of early adolescents in the US. Boys reported higher problematic video game use while girls reported higher problematic social media and mobile phone use. Native American, black, and Latinx adolescents reported higher scores across all problematic screen measures compared to non-Latinx white adolescents. Although higher household income was generally protective against problematic video game use, these associations were weaker for black than white adolescents. Beyond time spent on screens, pediatricians, parents, and educators should be aware of sociodemographic differences in problematic screen use.

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Section: Discussionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

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Social epidemiology of early adolescent problematic screen use in the United States

et al. 2022

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“…Interaction terms between location (urban versus rural) and sex were used to assess whether the associations between location and the odds of meeting the PA, screen time or both recommendations differed by sex. Given the known differences in PA participation [ 28 , 29 , 30 ] and screen time [ 31 , 32 ] between males and females, results from multivariable logistic regression models for the odds of meeting PA, screen time and the combined recommendations are presented separately by sex. For descriptive statistics, statistically significant differences between the urban and rural respondents were identified if the 95% confidence intervals did not overlap.…”

Section: Methodsmentioning

confidence: 99%

A Comparison of Meeting Physical Activity and Screen Time Recommendations between Canadian Youth Living in Rural and Urban Communities: A Nationally Representative Cross-Sectional Analysis

Manyanga

Pelletier

Prince

et al. 2022

IJERPH

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Meeting the physical activity (PA) and recreational screen time recommendations for children and young people is associated with several health benefits. The purpose of this study was to compare the odds of meeting PA and recreational screen time recommendations between the Canadian youth living in urban versus rural communities. We analyzed nationally representative cross-sectional data collected as part of the 2017–2018 cycles of the Canadian Community Health Survey among young people aged 12–17 years. PA and screen time were self-reported. Sex-specific multivariable logistic regression models were used to estimate the odds of meeting individual and combined PA and recreational screen time recommendations by rural and urban status after adjusting for individual, socioeconomic, and seasonal covariates. The odds of meeting the PA recommendation were not statistically significantly different among males (OR = 1.01, 95% CI: 0.86–1.18) or females (OR 1.05, 95% CI: 0.99–1.11) living in urban versus rural communities. The odds of meeting the recreational screen time recommendations were statistically significantly lower among male (OR = 0.71, 95% CI: 0.65–0.77) and female (OR = 0.71, 95% CI: 0.59–0.86) youth living in urban compared to those in rural communities. The odds of meeting the combined PA and screen time recommendations were statistically significantly lower among urban males (OR = 0.75, 95% CI: 0.71–0.81) but not females (OR = 0.82, 95% CI: 0.58–1.15) than those from rural communities. These findings suggest that residential context (i.e., urban versus rural) may have a differential impact on meeting the combined PA and screen time recommendations among the male and female Canadian youth. Future research should investigate these differences using device-based measures.

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“… 21 It is well documented that boys engage with screens for more hours each day that girls. 37 , 38 , 39 Boys tend to engage with screens more through video gaming and watching and streaming videos as compared to girls. 37 , 38 Parental reports of time spent playing video games may be higher in adolescent boys because of this tendency.…”

Section: Summary and Associations Of Differences In Parent- And Adolescent-reported Total Recreational Screen Time During The Covid-19 Pamentioning

confidence: 99%

Parent-Adolescent Discrepancies in Adolescent Recreational Screen Time Reporting During the Coronavirus Disease 2019 Pandemic

Cortez¹,

Iyer

Ganson

et al. 2022

Academic Pediatrics

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Objective To describe the relationship between parent and adolescent reports of adolescent recreational screen time and to determine sociodemographic predictors of recreational screen time reporting differences during the COVID-19 pandemic. Methods We analyzed data from the Adolescent Brain Cognitive Development Study (ABCD, N=5,335, ages 10-14) a national prospective cohort study in the US collected in May 2020. We compared parent-reported, adolescent-reported, and a parent-adolescent differences in recreational screen time hours per day across five screen categories. Results Adolescents’ total recreational screen time per day was reported as 4.46 hours by parents and 3.87 hours by adolescents. Parents reported higher levels of their child's texting, video chatting, and total recreational screen time, while adolescents reported higher multi-player gaming and social media use. Larger discrepancies in total recreational screen time were found in older, Black, and Latino/Hispanic adolescents. Larger discrepancies in total recreational screen time were also found among unmarried/unpartnered parents. Conclusions Given discrepancies in parent-adolescent recreational screen time reporting during the pandemic, a period of high screen use, pediatricians should encourage family discussions about adolescent media use through the development of a Family Media Use Plan. The digital media industry could provide more opportunities for parental monitoring of recreational screen time within product designs.

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

Cited by 45 publications

References 47 publications

Social epidemiology of early adolescent problematic screen use in the United States

Social epidemiology of early adolescent problematic screen use in the United States

A Comparison of Meeting Physical Activity and Screen Time Recommendations between Canadian Youth Living in Rural and Urban Communities: A Nationally Representative Cross-Sectional Analysis

Parent-Adolescent Discrepancies in Adolescent Recreational Screen Time Reporting During the Coronavirus Disease 2019 Pandemic

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