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Socioeconomic inequality in screen time frequency in children and adolescents: the weight disorders survey of the CASPIAN IV study 
 
Socioeconomic inequality in screen time frequency in children and adolescents: the weight disorders survey of the CASPIAN IV study
  Ramin Heshmat, Mostafa Qorbani, Nafi seh Mozaffarian, Shirin Djalalinia, Ali Sheidaei, Mohammad Esmaeil Motlagh, Saeid Safi ri, Kimia Gohari, Asal Ataie-Jafari, Gelayol Ardalan, Hamid Asayesh, Morteza Mansourian, Roya Kelishadi
 [Abstract] [Full Text] [PDF]   Pageviews: 3512 Times
 
Background: This study aimed to assess the socioeconomic inequality and determinants of screen time (ST) frequency in Iranian children and adolescents.
Methods: This 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¨C18 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).
Results: Overall, 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¨C32.17) with ascending change from 20.80% (95% CI 19.81¨C21.82) to 36.66% (95% CI 35.47¨C37.87) 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).
Conclusions: Socioeconomic 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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