Duran Şulenur, Küçük Alemdar Dilek
MSc, Samsun Çarşamba State Hospital, Neurology Service, Samsun, Turkey.
Associate Professor, Ordu University Faculty of Health Sciences, Department of Pediatric Nursing, Ordu, Turkey.
J Pediatr Nurs. 2023 Nov-Dec;73:e409-e417. doi: 10.1016/j.pedn.2023.10.009. Epub 2023 Oct 19.
This study was performed with the aim of investigating the correlation and the effective factors between internet addiction, obesity risk and sleep disorders in children.
The sample for this descriptive and relational search type study comprised the parents of 458 children aged 7-10 years attending a primary school in Turkey. Data were collected the Parent and Child Descriptive Information Form, Family Child Internet Addiction Scale (FCIAS), Family Nutrition and Physical Activity Tool (FNPAT) and Sleep Disturbance Scale for Children (SDSC).
There was a statistically significant, positive and weak correlation between the Body Mass Index (BMI) and FCIAS scores of children (p < 0.001). There was a statistically significant, negative and very weak correlation between FNPAT total score with FCIAS total score (p = 0.007). There was a statistically significant, positive and moderate correlation between SDSC total score and FCIAS total score (p < 0.001). According to regression analysis, FCIAS was a determinant at significant levels for FNPAT and SDSC (p < 0.05).
There was a relationship between internet addiction and obesity and sleep quality. As a result of the study, the increase in internet use was determined to negatively impact physical activity and health nutrition behavior, and to increase sleep disturbance.
Pediatric nurses are recommended to give counseling to children and families about preventing obesity and the risk of sleep disorders by identifying children at risk in terms of internet addiction in the early period.
本研究旨在调查儿童网络成瘾、肥胖风险和睡眠障碍之间的相关性及影响因素。
本描述性关联研究的样本包括土耳其一所小学458名7至10岁儿童的家长。通过亲子描述性信息表、家庭儿童网络成瘾量表（FCIAS）、家庭营养与身体活动工具（FNPAT）和儿童睡眠障碍量表（SDSC）收集数据。
儿童体重指数（BMI）与FCIAS得分之间存在统计学显著的正相关且较弱（p < 0.001）。FNPAT总分与FCIAS总分之间存在统计学显著的负相关且非常弱（p = 0.007）。SDSC总分与FCIAS总分之间存在统计学显著的正相关且中等（p < 0.001）。根据回归分析，FCIAS在显著水平上是FNPAT和SDSC的决定因素（p < 0.05）。
网络成瘾与肥胖和睡眠质量之间存在关联。研究结果表明，网络使用的增加对身体活动和健康营养行为产生负面影响，并增加睡眠障碍。
建议儿科护士通过早期识别有网络成瘾风险的儿童，为儿童及其家庭提供关于预防肥胖和睡眠障碍风险的咨询。
