ArticleWorld journal of pediatrics : WJP2018
Socioeconomic inequality in screen time frequency in children and adolescents: the weight disorders survey of the CASPIAN IV study.
Article in World journal of pediatrics : WJP, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Stop and Play Digital Health Education Intervention for Reducing Excessive Screen Time Among Preschoolers From Low Socioeconomic Families: Cluster Randomized Controlled Trial.Journal of medical Internet research · 2023Trial
- Comparison of polygenic risk scores for type 2 diabetes developed from different ancestry groups.npj metabolic health and disease · 2025Article
- Socioeconomic Inequality in Screen Time, Phone, and Tablet Use among Iranian Adolescents: Results of A National Study.Medical journal of the Islamic Republic of Iran · 2023Article
- Influence of socioeconomic variables on physical activity and screen time of children and adolescents during the COVID‑19 lockdown in Germany: the MoMo study.German journal of exercise and sport research · 2022Article
- Why do apprentices smoke much more than high school students? Understanding educational disparities in smoking with a Oaxaca-blinder decomposition analysis.BMC public health · 2020Article
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Authors and funding
13 authors.
Funding
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Abstract
backgroundThis study aimed to assess the socioeconomic inequality and determinants of screen time (ST) frequency in Iranian children and adolescents.
methodsThis nationwide study was conducted as part of a national school-based surveillance program among 36,486 students consisting of 50.79% boys and 74.23% urban inhabitants, aged 6-18 years, living in urban and rural areas of 30 provinces of Iran. Socioeconomic inequality in ST, including the time spent for ST, watching TV and leisure-time working with computer, was assessed across quintiles of SES using concentration index (C) and slope index of inequality (SII).
resultsOverall, 36,486 students completed the study (response rate 91.25%). Their mean (SD) age was 12.14 (3.36) years. The national estimation of frequency of ST was 31.66% (95% CI 31.16-32.17) with ascending change from 20.80% (95% CI 19.81-21.82) to 36.66% (95% CI 35.47-37.87) from the first to the last quintal of SES. Estimated C value at national level was positive (0.08), which indicate inequality was in favor of low SES groups. Considering the SII values, at national level [- 0.16 (- 0.39, 0.06)], the absolute difference in ST frequency between the bottom and top of the socioeconomic groups had descending trends. In multivariate logistic regression model, family history of obesity, generalized obesity and age were the main significant determinants of prolonged ST, watching TV, and computer working (P < 0.001).
conclusionsSocioeconomic inequality in ST frequency was in favor of low SES groups. These findings are useful for health policies, better programming and future complementary analyses.
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