Abstract：
OBJECTIVE: This study was conducted to determine the factors predictive of technology addiction in young children (aged 2-5 years). The study examined the effects of digital parenting awareness, parental stress, family demographic characteristics and parents\' technology use habits on technology addiction in young children.
METHODS: This cross-sectional study was conducted between October 2023 and February 2024 with 401 volunteer parents of children aged 2-5 years in a province in the Western Mediterranean region of Turkey. Data were collected using the Technology Addiction Scale for Ages 2-5, the Digital Parental Awareness Scale, and the Parental Stress Scale.
RESULTS: Digital parenting awareness, negative modeling and digital neglect, and parental stress positively and directly affect technology addiction in young children (β1 = 0.166, β2 = 0.443, β3 = 0.087, all p < 0.05). Additionally, parental gender (β = 0.095), parental marital status (β = 0.092), and household income (β = 0.088) were significant predictors of technology addiction in young children (p < 0.05). The level of technology addiction is significantly higher in children who use devices without parental controls (Z = -6.187, p < 0.001).
CONCLUSIONS: Low digital parenting awareness, high parental stress, male caregivers, low household income and single-parent families in digital tools increase the risk of technology addiction in young children (2-5 years). Multidisciplinary, family-oriented intervention programs, incorporating consideration of parental risk factors, should be developed to prevent and reduce technology addiction in this group.
METHODS: This cross-sectional study was conducted between October 2023 and February 2024 with 401 volunteer parents of children aged 2-5 years in a province in the Western Mediterranean region of Turkey. Data were collected using the Technology Addiction Scale for Ages 2-5, the Digital Parental Awareness Scale, and the Parental Stress Scale.
RESULTS: Digital parenting awareness, negative modeling and digital neglect, and parental stress positively and directly affect technology addiction in young children (β1 = 0.166, β2 = 0.443, β3 = 0.087, all p < 0.05). Additionally, parental gender (β = 0.095), parental marital status (β = 0.092), and household income (β = 0.088) were significant predictors of technology addiction in young children (p < 0.05). The level of technology addiction is significantly higher in children who use devices without parental controls (Z = -6.187, p < 0.001).
CONCLUSIONS: Low digital parenting awareness, high parental stress, male caregivers, low household income and single-parent families in digital tools increase the risk of technology addiction in young children (2-5 years). Multidisciplinary, family-oriented intervention programs, incorporating consideration of parental risk factors, should be developed to prevent and reduce technology addiction in this group.
摘要：
目的：进行这项研究是为了确定幼儿（2-5岁）技术成瘾的预测因素。这项研究检查了数字育儿意识的影响，父母的压力,家庭人口统计学特征和父母的技术使用习惯对幼儿技术成瘾的影响。
方法：这项横断面研究是在2023年10月至2024年2月之间进行的，在土耳其西地中海地区的一个省，有401名2-5岁儿童的志愿父母。数据是使用2-5岁的技术成瘾量表、数字父母意识量表收集的，和父母压力量表。
结果：数字育儿意识，负面建模和数字忽视，父母压力对幼儿技术成瘾有积极和直接的影响(β1=0.166,β2=0.443,β3=0.087,均p<0.05)。此外,父母性别（β=0.095），父母婚姻状况（β=0.092），家庭收入(β=0.088)是幼儿技术成瘾的显著预测因子(p<0.05)。在没有父母控制的情况下使用设备的儿童中，技术成瘾的水平明显更高（Z=-6.187，p<0.001）。
结论：数字育儿意识低，父母压力很大，男性看护人,数字工具中的低家庭收入和单亲家庭增加了幼儿（2-5岁）技术成瘾的风险。多学科,面向家庭的干预计划，考虑父母的危险因素，应该发展以预防和减少这一群体的技术成瘾。
方法：这项横断面研究是在2023年10月至2024年2月之间进行的，在土耳其西地中海地区的一个省，有401名2-5岁儿童的志愿父母。数据是使用2-5岁的技术成瘾量表、数字父母意识量表收集的，和父母压力量表。
结果：数字育儿意识，负面建模和数字忽视，父母压力对幼儿技术成瘾有积极和直接的影响(β1=0.166,β2=0.443,β3=0.087,均p<0.05)。此外,父母性别（β=0.095），父母婚姻状况（β=0.092），家庭收入(β=0.088)是幼儿技术成瘾的显著预测因子(p<0.05)。在没有父母控制的情况下使用设备的儿童中，技术成瘾的水平明显更高（Z=-6.187，p<0.001）。
结论：数字育儿意识低，父母压力很大，男性看护人,数字工具中的低家庭收入和单亲家庭增加了幼儿（2-5岁）技术成瘾的风险。多学科,面向家庭的干预计划，考虑父母的危险因素，应该发展以预防和减少这一群体的技术成瘾。
