Jakiene Vilma, Király Orsolya, Demetrovics Zsolt, Podlipskyte Aurelija, Saudargiene Ausra, Jusiene Roma, Milasauskiene Egle, Gecaite-Stonciene Julija, Palaityte-Urbone Evelina, Burkauskas Julius, Steibliene Vesta
1Laboratory of Behavioral Medicine, Neuroscience Institute, Lithuanian University of Health Sciences, Palanga, Lithuania.
3Institute of Psychology, ELTE Eötvös Loránd, University, Budapest, Hungary.
J Behav Addict. 2025 May 21;14(2):738-745. doi: 10.1556/2006.2025.00029. Print 2025 Jul 2.
Short versions of problematic internet use (PIU) questionnaires may provide a convenient and effective way of assessing internet-related problems in various contexts, ranging from research to clinical practice. The aim of this study was to investigate whether single yes/no question (Q-single) regarding "functional impairment due to PIU" could serve as a screening tool to indicate the potential absence of PIU, given the lack of functional impairment.
Data from two online studies (N = 524 and N = 272) assessing internet-related behaviors among students were used for the analyses. Participants completed questionnaires (the nine-item Problematic Internet Use Questionnaire [PIUQ-9], the Compulsive Internet Use Scale [CIUS], the nine-item Patient Health Questionnaire, depression module [PHQ-9], the seven-item Generalized Anxiety Disorder scale [GAD-7]), questions about their internet use time, besides answering the Q-Single question. Block-wise multiple linear regression analyses were used to determine the predictive effect of the Q-Single on PIU (as measured with the PIUQ-9 and the CIUS) and its association with depression and anxiety symptom scores (as measured with the PHQ-9 and the GAD-7).
The Q-Single demonstrated a high negative predictive value in screening the absence of PIU, however positive predictive value was low to moderate. Q-Single proved to be a good predictor of PIU (β = 0.484, p < 0.001 [PIUQ-9] and β = 0.481, p < 0.001 [CIUS]) when controlling for age, gender, and internet use time. Adjusting for the same controlling variables, the Q-Single had a moderate association with depression symptoms (β = 0.385, p < 0.001 [PHQ-9]) and anxiety symptoms (β = 0.252, p < 0.001) [GAD-7]) supporting the validity of the single-question instrument.
The finding that a single question could predict absence of PIU in students, implies that functional impairment is an important indicator of PIU.
问题性互联网使用(PIU)问卷的简短版本可能提供一种便捷有效的方法,用于在从研究到临床实践的各种情境中评估与互联网相关的问题。鉴于缺乏功能损害,本研究的目的是调查关于“PIU导致的功能损害”的单一是/否问题(Q-单一)是否可以作为一种筛查工具,以表明可能不存在PIU。
来自两项评估学生互联网相关行为的在线研究(N = 524和N = 272)的数据用于分析。除了回答Q-单一问题外,参与者还完成了问卷(九项问题性互联网使用问卷[PIUQ-9]、强迫性互联网使用量表[CIUS]、九项患者健康问卷抑郁模块[PHQ-9]、七项广泛性焦虑障碍量表[GAD-7]),以及关于他们互联网使用时间的问题。采用逐步多元线性回归分析来确定Q-单一问题对PIU(用PIUQ-9和CIUS测量)的预测作用及其与抑郁和焦虑症状评分(用PHQ-9和GAD-7测量)的关联。
Q-单一问题在筛查不存在PIU方面显示出较高的阴性预测值,然而阳性预测值较低至中等。在控制年龄、性别和互联网使用时间后,Q-单一问题被证明是PIU的良好预测指标(β = 0.484,p < 0.001 [PIUQ-9],β = 0.481,p < 0.001 [CIUS])。在调整相同的控制变量后,Q-单一问题与抑郁症状(β = 0.385,p < 0.001 [PHQ-9])和焦虑症状(β = 0.252,p < ......
单一问题可以预测学生中不存在PIU这一发现意味着功能损害是PIU的一个重要指标。 (注:原文中“p < 0.001 [GAD-7])”后面的内容缺失,翻译时保留了原文格式)