Manuel Varchetta, Ginevra Tagliaferri, Emanuela Mari, Alessandro Quaglieri, Clarissa Cricenti, Anna Maria Giannini, Manuel Martí-Vilar
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引用次数: 0
摘要
背景/目的:网络成瘾(IA)和相关行为,如网络游戏障碍(IGD)和社交媒体成瘾(SMA),已经得到越来越多的研究关注。研究显示了性别差异,男性更容易出现游戏相关成瘾,而女性则更容易出现社交媒体和网络成瘾行为。本研究旨在探讨西班牙样本中网瘾及相关行为的性别差异,目的是找出网瘾的预测因素和性别特异性模式:我们对 585 名参与者(265 名男性,320 名女性)进行了横断面研究,他们的年龄在 18 至 35 岁之间(男 = 22.11,女 = 3.08)。我们使用标准化问卷收集数据,以评估 IA、IGD、SMA、嗜睡、害怕错过(FoMO)、情绪失调、人格特质和亲社会性。通过相关分析和回归分析,确定了IA的性别特异性预测因素:结果:男性在 IA 和 IGD 方面的得分明显较高,而女性在 SMA 和 "手机强迫症 "方面的得分较高。在嗜睡的 "交流障碍 "维度和 FoMO 方面,没有发现明显的性别差异。相关分析表明,IA 与心理和技术变量之间存在明显的关联。针对不同性别的 IA 预测因素包括社交媒体参与和女性的情绪调节,而游戏行为和交流模式则与男性更为相关:这些发现凸显了IA的性别差异,表明有针对性的干预措施应针对男性和女性独特的在线行为和情绪调节挑战。未来的研究应完善针对不同性别的模式,以制定更有效、更有针对性的预防和治疗策略。
Exploring Gender Differences in Internet Addiction and Psychological Factors: A Study in a Spanish Sample.
Background/objectives: Internet addiction (IA) and related behaviors, such as Internet Gaming Disorder (IGD) and social media addiction (SMA), have gained increasing research attention. Studies show gender differences, with males more likely to develop gaming-related addictions and females more prone to social media and phubbing behaviors. This study aimed to explore gender differences in Internet addiction and related behaviors in a Spanish sample, with the goal of identifying predictors and gender-specific patterns of IA.
Methods: We conducted a cross-sectional study with 585 participants (265 male, 320 female) aged 18 to 35 years (M = 22.11, SD = 3.08). Data were collected using standardized questionnaires to assess IA, IGD, SMA, phubbing, Fear of Missing Out (FoMO), emotional dysregulation, personality traits, and prosociality. Correlation and regression analyses were used to identify gender-specific predictors of IA.
Results: Males exhibited significantly higher scores for IA and IGD, while females showed higher scores for SMA and the "phone obsession" dimension of phubbing. No significant gender differences were found in the "communication disturbance" dimension of phubbing or in FoMO. Correlation analyses revealed significant associations between IA and psychological as well as technological variables. Gender-specific predictors of IA included social media engagement and emotional regulation for females, while gaming behaviors and communication patterns were more relevant for males.
Conclusions: These findings highlight gender differences in IA, suggesting that tailored interventions should address unique online behaviors and emotional regulation challenges in males and females. Future research should refine gender-specific patterns to develop more effective, targeted prevention and treatment strategies.
期刊介绍:
Brain Sciences (ISSN 2076-3425) is a peer-reviewed scientific journal that publishes original articles, critical reviews, research notes and short communications in the areas of cognitive neuroscience, developmental neuroscience, molecular and cellular neuroscience, neural engineering, neuroimaging, neurolinguistics, neuropathy, systems neuroscience, and theoretical and computational neuroscience. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files or software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material.