Abstract：
OBJECTIVE: This study aimed to explain the relationships between parents\' mental well-being and sociodemographic characteristics with digital parenting awareness.
METHODS: This cross-sectional study used structural equation modeling. It was conducted between January and May 2023 in a province in the Mediterranean region of Turkey with 262 parents with children aged 5-11 years. Research data were collected using the Personal Information Form, the Digital Parental Awareness Scale, and the Warwick-Edinburgh Mental Well-Being Scale.
RESULTS: Parents\' mental well-being and digital parenting awareness were significantly associated with the sub-dimensions of being a negative model (β = -0.313), digital negligence (β = -0.187), efficient use (β = 0.284), and protection from risks (β = 0.432; all p < 0.001). Additionally, parental mental well-being, parent\'s internet usage time (years), the perception that their child/children are using digital tools unnecessarily, the monthly income of the family, parent\'s age, and education levels significantly impact digital parenting awareness (p < 0.05).
CONCLUSIONS: Parents\' mental well-being was moderately and significantly associated with digital parenting awareness. Furthermore, the high number of years of internet usage by parents, having high levels of education and income, being younger, and the perception that their children use digital tools unnecessarily are positively related to digital parenting awareness.
METHODS: This cross-sectional study used structural equation modeling. It was conducted between January and May 2023 in a province in the Mediterranean region of Turkey with 262 parents with children aged 5-11 years. Research data were collected using the Personal Information Form, the Digital Parental Awareness Scale, and the Warwick-Edinburgh Mental Well-Being Scale.
RESULTS: Parents\' mental well-being and digital parenting awareness were significantly associated with the sub-dimensions of being a negative model (β = -0.313), digital negligence (β = -0.187), efficient use (β = 0.284), and protection from risks (β = 0.432; all p < 0.001). Additionally, parental mental well-being, parent\'s internet usage time (years), the perception that their child/children are using digital tools unnecessarily, the monthly income of the family, parent\'s age, and education levels significantly impact digital parenting awareness (p < 0.05).
CONCLUSIONS: Parents\' mental well-being was moderately and significantly associated with digital parenting awareness. Furthermore, the high number of years of internet usage by parents, having high levels of education and income, being younger, and the perception that their children use digital tools unnecessarily are positively related to digital parenting awareness.
摘要：
目的：本研究旨在通过数字育儿意识解释父母心理健康与社会人口学特征之间的关系。
方法：这项横断面研究使用结构方程模型。该项目于2023年1月至5月在土耳其地中海地区的一个省进行，有262名父母和5-11岁的孩子。研究数据是使用个人信息表格收集的，数字父母意识量表，和沃里克-爱丁堡精神幸福感量表。
结果：父母的心理健康和数字育儿意识与负模型的子维度显着相关（β=-0.313），数字过失(β=-0.187)，有效利用(β=0.284)，和对风险的保护(β=0.432；所有p<0.001)。此外,父母的心理健康，父母的互联网使用时间(年)，认为他们的孩子/孩子不必要地使用数字工具，家庭的月收入,父母的年龄，和教育水平显著影响数字育儿意识(p<0.05)。
结论：父母的心理健康与数字育儿意识中度且显着相关。此外，父母大量使用互联网，有高水平的教育和收入，更年轻,以及他们的孩子不必要地使用数字工具的看法与数字育儿意识呈正相关。
方法：这项横断面研究使用结构方程模型。该项目于2023年1月至5月在土耳其地中海地区的一个省进行，有262名父母和5-11岁的孩子。研究数据是使用个人信息表格收集的，数字父母意识量表，和沃里克-爱丁堡精神幸福感量表。
结果：父母的心理健康和数字育儿意识与负模型的子维度显着相关（β=-0.313），数字过失(β=-0.187)，有效利用(β=0.284)，和对风险的保护(β=0.432；所有p<0.001)。此外,父母的心理健康，父母的互联网使用时间(年)，认为他们的孩子/孩子不必要地使用数字工具，家庭的月收入,父母的年龄，和教育水平显著影响数字育儿意识(p<0.05)。
结论：父母的心理健康与数字育儿意识中度且显着相关。此外，父母大量使用互联网，有高水平的教育和收入，更年轻,以及他们的孩子不必要地使用数字工具的看法与数字育儿意识呈正相关。
