Peng Pu, Zou Hongyu
Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Center for studies of Psychological Application, School of Psychology, South China Normal University, 510631 Guangzhou, China; School of Medicine, Indiana University, 46202 Indianapolis, USA.
Compr Psychiatry. 2025 Feb;137:152572. doi: 10.1016/j.comppsych.2024.152572. Epub 2025 Jan 3.
While previous cross-sectional studies have suggested a link between psychotic-like experiences (PLEs) and internet addiction (IA), longitudinal evidence remains scarce. This study aimed to explore the prospective relationship between IA and PLEs among college students.
A total of 636 college students (80 % female) were assessed in November 2022 and again one year later. IA was measured using the Internet Addiction Diagnosis Questionnaire (IADQ), and PLEs were assessed with the 16-item Prodromal Questionnaire (PQ-16). Demographic, psychological, and environmental factors were collected and controlled. Multiple logistic regression and cross-lagged panel analyses examined the longitudinal associations between IA and PLEs.
At baseline, the prevalence of IA and PLEs was 11.3 % and 16.8 %, respectively. Higher baseline IADQ scores (Adjusted odds ratio = 1.035; 95 % confidence interval = 1.002-1.069; p = 0.036) were independently associated with an increased risk of PLEs at follow-up, while baseline PQ-16 scores were not linked to later IA. Cross-lagged panel analysis revealed that IA at baseline predicted later PLEs (β = 0.082, p = 0.043), whereas baseline PLEs did not predict IA (β = 0.049, p = 0.255). Specifically, IA predicted unusual thoughts (β = 0.122, p = 0.003) and negative PLEs (β = 0.111, p = 0.008), but not perceptual abnormalities (β = 0.040, p = 0.301).
IA may be an independent risk factor for PLEs in college students, particularly for unusual thoughts and negative PLEs, but not for perceptual abnormalities. Targeted interventions addressing IA may help reduce PLEs.
虽然先前的横断面研究表明类似精神病性体验(PLEs)与网络成瘾(IA)之间存在联系,但纵向证据仍然稀缺。本研究旨在探讨大学生中IA与PLEs之间的前瞻性关系。
共有636名大学生(80%为女性)于2022年11月接受评估,并在一年后再次进行评估。使用网络成瘾诊断问卷(IADQ)测量IA,并用16项前驱症状问卷(PQ-16)评估PLEs。收集并控制人口统计学、心理和环境因素。多元逻辑回归和交叉滞后面板分析检验了IA与PLEs之间的纵向关联。
在基线时,IA和PLEs的患病率分别为11.3%和16.8%。较高的基线IADQ分数(调整优势比=1.035;95%置信区间=1.002-1.069;p=0.036)与随访时PLEs风险增加独立相关,而基线PQ-16分数与后期IA无关。交叉滞后面板分析显示,基线时的IA可预测后期的PLEs(β=0.082,p=0.043),而基线时的PLEs不能预测IA(β=0.049,p=0.255)。具体而言,IA可预测异常思维(β=0.122,p=0.003)和消极PLEs(β=0.111,p=0.008),但不能预测感知异常(β=0.040,p=0.301)。
IA可能是大学生PLEs的独立危险因素,特别是对于异常思维和消极PLEs,但不是感知异常。针对IA的有针对性干预可能有助于减少PLEs。