Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/80065
Title: Predicting factors of excessive smartphone use of Thai preschool children as perceived by family caregivers
Other Titles: ปัจจัยทำนายการใช้สมาร์ตโฟนเกินของเด็กไทยวัยก่อนเรียน ตามการรับรู้ของผู้ดูแลในครอบครัว
Authors: Ruksanudt Budda
Authors: Thanee Kaewthummanukul
Decha Tamdee
Jutamas Chotibang
Ruksanudt Budda
Issue Date: 22-Jul-2024
Publisher: เชียงใหม่ : บัณฑิตวิทยาลัย มหาวิทยาลัยเชียงใหม่
Abstract: The purpose of this correlation-prediction study is to examine the predictability of parental screen time, attitudes, mediation, household chaos, and socioeconomic status on excessive smartphone use among preschoolers, based on the Interactional Theory of Childhood Problematic Media Use (IT-CPU) by Domoff et al. (2020). The study included 647 family caregivers of preschool children from Chiang Mai, Udon Thani, and Nakorn Sri Thammarat provinces, selected using multi-stage sampling. Data were collected using a questionnaire which contained six parts: Demographic data; Parental Screen Time; Parent Attitudes; Parental Mediation; Home Chaos Environment; and SCREENS-Q. Data were analyzed with descriptive statistics, Spearman’s rank correlation, and binary logistic regression. The results revealed that educational level, average family income, occupational status, parental screen time on weekdays and weekends, parent mediation, and affective attitude showed mild to moderate positive associations with excessive smartphone use in preschool children, with significance (p < .05). However, behavioral attitudes exhibited a mild negative correlation with excessive smartphone use among preschoolers (p < .05). In addition, household chaos showed no relationship with excessive smartphone use. At a 95% CI interval, the final model showed that the remaining significant predictors included: education (OR = 1.151, p < .014), parental screen time on weekdays (OR = .997, p < .029), parental screen time on weekends (OR = 1.004, p < .042), and affective attitude (OR = 1.063, p < .015). The model predictability was 56.10%. This study can guide the design of further studies to explore additional factors related to excessive smartphone use in preschoolers. Additionally, the results can inform pediatric and community nursing interventions aimed at preventing excessive smartphone use and potential smartphone addiction among preschoolers.
URI: http://cmuir.cmu.ac.th/jspui/handle/6653943832/80065
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