Screen Time and Autism: Current Situation and Risk Factors for Screen Time Among Pre-school Children With ASD

被引:13
|
作者
Dong, Han-Yu [1 ]
Feng, Jun-Yan [1 ]
Wang, Bing [1 ]
Shan, Ling [1 ]
Jia, Fei-Yong [1 ]
机构
[1] First Hosp Jilin Univ, Dept Dev & Behav Pediat, Changchun, Jilin, Peoples R China
来源
FRONTIERS IN PSYCHIATRY | 2021年 / 12卷
基金
中国国家自然科学基金;
关键词
screen time; ASD; language development; developmental quotient; autistic symptoms; parent-child interaction; risk factors; MEDIA USE; SPECTRUM DISORDERS; PHYSICAL-ACTIVITY; TELEVISION; GAME; PREVALENCE; BEHAVIOR; EXPOSURE; SLEEP; YOUTH;
D O I
10.3389/fpsyt.2021.675902
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Objective: To investigate the current status of screen time in children with ASD, its correlation with autistic symptoms and developmental quotient (DQ), and the factors affecting screen time. Method: One hundred ninety-three Chinese children with ASD were recruited. We collected the demographic and screen time data using a questionnaire. The ASD core symptoms and developmental quotient (DQ) were measured by the Autism Behavior Checklist (ABC), Childhood Autism Rating Scale (CARS), Autism Diagnostic Observation Schedule-Second Edition (ADOS-2), Griffiths Development Scales-Chinese Language Edition (GDS-C), and Chinese Children's Parent-Child Relationship Questionnaire (CPCIS). Then, we analyzed the correlations between the screen time of children with ASD and the ABC, CARS, ADOS, GDS-C DQs, and CPCIS scores. Linear regression was used to analyze the risk factors that affect screen time. Results: The children's average daily screen time was 2.64 +/- 2.24 h. Forty eight percent children were exposed to two or more types of electronic devices. Their favorite activity of screen time was watching cartoons. Only 34% children spent screen time accompanied by parents and with communication. 50.26% children had no screen time before sleeping. The screen time of children with ASD had a negative correlation with the GDS-C CQ (r = -0.234, P = 0.001) and the CPCIS score (r = -0.180, P = 0.012) and a positive correlation with the CARS score (r = 0.192, P = 0.009). A low father's education level (P = 0.010), less restriction of the child's screen time by the guardian (P = 0.001), greater caregiver screen time (P < 0.001), the use of the screen as a tool for child rearing (P = 0.001), and the child's ownership of independent electronic equipment (P = 0.027) are risk factors for long screen time in children with ASD. Conclusion: The screen time of children with ASD in China is higher than the recommended standard, and the current situation is serious. The screen time of ASD children is related to their autism symptoms, DQ and parent-child interaction. Low paternal education levels, less restriction of children's screen time by guardians, greater guardian screen time, the use of screens in child rearing, and children's ownership of independent electronic equipment can lead to an increase in children's screen time. These findings may have implications for family intervention strategies.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Prevalence and Associated Factors of Excessive Recreational Screen Time Among Colombian Children and Adolescents
    Gonzalez, Silvia A.
    Sarmiento, Olga L.
    Florez-Pregonero, Alberto
    Katzmarzyk, Peter T.
    Chaput, Jean-Philippe
    Tremblay, Mark S.
    INTERNATIONAL JOURNAL OF PUBLIC HEALTH, 2022, 67
  • [42] Screen Time and Autism Spectrum Disorder: A Comprehensive Systematic Review of Risk, Usage, and Addiction
    Yuan, Guojing
    Zhu, Zhihui
    Guo, Haiyun
    Yang, Huayu
    Zhang, Jianghui
    Zhang, Kexin
    Zhang, Xueqing
    Lu, Xiaoyan
    Du, Jun
    Shi, Haiyan
    Jin, Guifang
    Hao, Jiahu
    Sun, Ying
    Su, Puyu
    Zhang, Zhihua
    JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS, 2024,
  • [43] Revisiting Factors Associated With Screen Time Media Use: A Structural Study Among School-Aged Adolescents
    Ngantcha, Marcus
    Janssen, Eric
    Godeau, Emmanuelle
    Ehlinger, Virginie
    Le-Nezet, Olivier
    Beck, Francois
    Spilka, Stanislas
    JOURNAL OF PHYSICAL ACTIVITY & HEALTH, 2018, 15 (06) : 448 - 456
  • [44] Screen Time and Its Relation to Cardiometabolic Risk among Children and Adolescents: The CASPIAN-III Study
    Safiri, Saeid
    Kelishadi, Roya
    Qorbani, Mostafa
    Abbasi-Ghah-Ramanloo, Abbas
    Motlagh, Mohammad Esmaeil
    Ardalan, Gelayol
    Shafiee, Gita
    Ahadi, Zeinab
    Sanaei, Maryam
    Asayesh, Hamid
    Larijani, Bagher
    Heshmat, Ramin
    IRANIAN JOURNAL OF PUBLIC HEALTH, 2015, 44 : 35 - 44
  • [45] Screen time and smartphone multitasking: the emerging risk factors for mental health in children and adolescents
    Jin, Yexin
    Chen, Yiyang
    Song, Yalin
    Lou, Hao
    Li, Ran
    Lou, Xiaomin
    Liu, Jingru
    Zhao, Yize
    Wang, Xian
    JOURNAL OF PUBLIC HEALTH-HEIDELBERG, 2024, 32 (12): : 2243 - 2253
  • [46] Screen Time at Home and School among Low-Income Children Attending Head Start
    Erica N. Fletcher
    Robert C. Whitaker
    Alexis J. Marino
    Sarah E. Anderson
    Child Indicators Research, 2014, 7 : 421 - 436
  • [47] The impact of family factors and communication on recreational sedentary screen time among primary school-aged children: a cross-sectional study
    Ding, Xueting
    Ji, Ying
    Dong, Yuan
    Li, Zhijing
    Zhang, Yan
    BMC PUBLIC HEALTH, 2024, 24 (01)
  • [48] Association between sedentary behavior, screen time and metabolic syndrome among Chinese children and adolescents
    Cheng, Xue
    Guo, Qiya
    Ju, Lahong
    Gong, Weiyi
    Wei, Xiaoqi
    Xu, Xiaoli
    Zhao, Liyun
    Fang, Hongyun
    BMC PUBLIC HEALTH, 2024, 24 (01)
  • [49] Physical activity, screen time and the risk of subjective health complaints in school-aged children
    Keane, Eimear
    Kelly, Colette
    Molcho, Michal
    Gabhainn, Saoirse Nic
    PREVENTIVE MEDICINE, 2017, 96 : 21 - 27
  • [50] Associations of excessive screen time and early screen exposure with health-related quality of life and behavioral problems among children attending preschools
    Xiang, Hongyu
    Lin, Li
    Chen, Weiqing
    Li, Chunrong
    Liu, Xinxia
    Li, Jinghua
    Ren, Yan
    Guo, Vivian Yawei
    BMC PUBLIC HEALTH, 2022, 22 (01)