Ufuk University, School of Medicine, Department of Psychiatry, Turkey.
Ufuk University, School of Medicine, Department of Child and Adolescent Psychiatry, Turkey.
Res Dev Disabil. 2023 Aug;139:104557. doi: 10.1016/j.ridd.2023.104557. Epub 2023 Jun 14.
BACKGROUND & AIMS: The purpose of this study was to examine the relationships between Attention Deficit Hyperactivity Disorder (ADHD), Sluggish Cognitive Tempo (SCT), demographic factors, and Internet Addiction (IA) and internet gaming disorder (IGD) among medical students and resident doctors.
The study included 274 medical students and resident doctors. (Ages:18-35, 70.4% female). Fisher exact test, Contingency Table analyses, Mann Whithey-U Test and structural equation model-path analysis were used for analysis. The Sociodemographic Information Form, ASRS Scale, Barkley SCT Scale, Young Internet Addiction Test-Short Form and The Digital Game Addiction Scale were utilized to collect data.
In the sample, 48 participants (17.51%, 22 female, 26 male) were classified as having a high-risk internet gaming disorder (IGD+), while 53 participants (19.3%, 37 female, 16 male) were classified as having a high-risk internet addiction (IA+). SCT Scale Daydreaming and Sluggishness scores, as well as ASRS Scale Inattention and Hyperactivity/Impulsivity ratings, were all substantially higher in high-risk groups (for all, p < 0.05). Instead of age, there was no difference between high and low-risk groups, but men had a significantly greater rate of high risk- IGD (%32.1 vs. 11.4; p = 0.001). Path analysis revealed that while older age has a substantial negative effect (β = -0.37, p = 0.001) on increased risk of IA, Inattention (β = 0.19, p = 0.028), Daydreaming (β = 0.62, p0.001), and Sluggishness ( β = 1.12, p0.001) had significant positive effects. On the other hand, results revealed that male gender (β = 5.08, p0.001), IA scores (β = 0.21, p0.001), and only Sluggishness ( = 0.52, p = 0.002), but not Inattention, Hyperactivity/impulsivity, or Daydreaming, have positive effects on greater risk of internet gaming disorder (IGD).
CONCLUSION & IMPLICATIONS: Our study is the first to show that SCT symptoms increase the risk of Internet addiction and Internet Gaming Disorder even when ADHD symptoms are controlled. To date, many research have highlighted the necessity of ADHD treatment when evaluating IA and IGD. However, SCT symptoms have a greater impact on people who are predisposed to these behavioral addictions, and despite high comorbidity rates, various treatment approaches for ADHD and SCT are effective. SCT should be kept in mind when assessing treatment-resistant individuals with IA and IGD.
本研究旨在探讨注意缺陷多动障碍（ADHD）、认知迟钝（SCT）、人口统计学因素与医学生和住院医师的网络成瘾（IA）和网络游戏障碍（IGD）之间的关系。
本研究纳入了 274 名医学生和住院医师（年龄：18-35 岁，70.4%为女性）。采用 Fisher 确切检验、列联表分析、Mann-Whitney-U 检验和结构方程模型-路径分析进行分析。使用社会人口学信息表、ASRS 量表、Barkley SCT 量表、青少年网络成瘾测试-短表和数字游戏成瘾量表来收集数据。
在样本中，48 名参与者（17.51%，22 名女性，26 名男性）被归类为具有高风险的网络游戏障碍（IGD+），而 53 名参与者（19.3%，37 名女性，16 名男性）被归类为具有高风险的网络成瘾（IA+）。高风险组的 SCT 量表白日梦和迟钝评分以及 ASRS 量表注意力不集中和多动/冲动评分均显著升高（所有评分，p<0.05）。高风险组和低风险组之间没有差异，而是男性的高风险-IGD 发生率显著更高（%32.1 与 11.4；p=0.001）。路径分析显示，年龄较大对 IA 风险增加有显著的负向影响（β=-0.37，p=0.001），而注意力不集中（β=0.19，p=0.028）、白日梦（β=0.62，p<0.001）和迟钝（β=1.12，p<0.001）有显著的正向影响。另一方面，结果显示男性性别（β=5.08，p<0.001）、IA 评分（β=0.21，p<0.001）和仅迟钝（β=0.52，p=0.002）对网络游戏障碍（IGD）的高风险有正向影响，而注意力不集中、多动/冲动或白日梦则没有。
本研究首次表明，即使控制 ADHD 症状，SCT 症状也会增加网络成瘾和网络游戏障碍的风险。迄今为止，许多研究都强调了在评估 IA 和 IGD 时需要进行 ADHD 治疗。然而，SCT 症状对易患这些行为成瘾的人影响更大，尽管存在高共病率，但 ADHD 和 SCT 的各种治疗方法都是有效的。在评估对治疗有抵抗的 IA 和 IGD 患者时，应考虑 SCT。
