Screen exposure among children aged 6-12 years in Hainan Province
LIU Beibei1, LEI Xuelu2, CHEN Pinghao1, WU Weijia1,2, HUANG Chuican2, LUO Qing2, FAN Lichun1,2
1. College of Pediatrics, Hainan Medical College, Haikou, Hainan 571199, China; 2. Hainan Women and Children Medical Center, Haikou, Hainan 570206, China
Abstract：Objective To investigate the screen exposure status and influencing factors among 6-12 year-old children in Hainan Province, so as to provide insights into screen exposure intervention for children. Methods Children aged 6-12 years from 18 counties (cities) in Hainan Province were selected using multi-stage stratified cluster sampling method from December 2020 to July 2021. Demographic information, parents' educational level, family type and screen time was collected using questionnaire surveys. The screen exposure rate of children was analyzed, and factors affecting screen exposure were identified using a multivariable logistic regression model. Results A total of 27 501 children were surveyed, including 13 901 boys (50.55%) and 13 600 girls (49.45%). The mean age was (9.22±1.86) years. Among them, 3 925 children had screen exposure, with a screen exposure rate of 14.27%. Multivariable logistic regression analysis showed that gender (female, OR=0.859, 95%CI: 0.796-0.926), age (OR=1.078, 95%CI: 1.049-1.108), ethnicity (ethnic minorities, OR=1.147, 95%CI: 1.041-1.254), place of residence (rural area, OR=0.869, 95%CI: 0.801-0.944), father's educational level (high school or technical secondary school, OR=0.879, 95%CI: 0.788-0.981; college degree or above, OR=0.686, 95%CI: 0.589-0.818), mother's educational level (college degree or above, OR=0.706, 95%CI: 0.588-0.846), family type (others, OR=1.250, 95%CI: 1.105-1.414), and annual family income (>100 000 Yuan, OR=0.741, 95%CI: 0.619-0.885) were the influencing factors for screen exposure among children aged 6-12 years. Conclusion The screen exposure among children aged 6-12 years in Hainan Province was affected by gender, age, ethnicity, place of residence, parental education level, family type and annual family income.
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