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探索互联网成和心理因素中的性别差异:西班牙样本研究
Manuel Varchetta1,2, Ginevra Tagliaferri2, Emanuela Mari2
1Department de Psicologia Bàsica, Faculty of Psychology and Speech Therapy, Universitat de València, Av. Blasco Ibañez, 21, 46010 Valencia, Spain.
Brain sciences
|October 25, 2024
概括
这项研究发现互联网成 (IA) 中存在不同的性别模式,男性显示出更高的互联网游戏障碍 (IGD),女性显示出更高的社交媒体成 (SMA). 了解这些差异是针对性干预的关键.
科学领域:
- 心理学 心理学 心理学
- 行为科学 行为科学
- 数字健康数字健康
背景情况:
- 互联网成 (IA) 和与之相关的疾病,如互联网游戏障碍 (IGD) 和社交媒体成 (SMA),越来越令人担忧.
- 现有的研究表明性别特异性倾向,男性经常与游戏有关,女性与社交媒体和fhubbing有关.
研究的目的:
- 在西班牙成年人样本中调查IA和相关行为中的性别差异.
- 识别跨性别IA的预测因素和特定模式.
主要方法:
- 这是一项涉及585名参与者 (265名男性,320名女性) 的跨界研究,年龄在18-35岁之间.
- 使用IA,IGD,SMA,phubbing,失落恐惧 (FoMO),情绪失调,个性和亲社会性的标准化问卷.
- 使用相关性和回归分析来确定IA的性别特异性预测因素.
主要成果:
- 男性报告IA和IGD得分更高;女性报告SMA和"电话痴迷"得分更高.
- 在"通信障碍"或FoMO.中没有观察到显著的性别差异.
- IA与心理和技术变量相关,性别特定的预测因素包括女性的社交媒体参与和情绪调节,以及男性的游戏行为.
结论:
- 调查结果强调了AI中性别差异很大,需要量身定制的干预措施.
- 干预措施应应对男性和女性独特的在线行为和情绪调节挑战.
- 对性别特异性模式的进一步研究对于开发有效的预防和治疗策略至关重要.
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