在西班牙语样本中基于数字时代的自我调节和技术使用的心理健康概况:潜伏概况分析
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Angélica Garzón Umerenkova1, Marisleidy Alba Cabañas2, Erika Andrea Malpica-Chavarria1
1School of Psychology, Fundación Universitaria Konrad Lorenz, Bogotá, Colombia.
JMIR human factors
|February 11, 2026
概括
这项研究确定了与技术使用和自我调节相关的四个不同的心理特征. 更高的自我调节与较低的心理痛苦有关,突出了它在管理数字习惯中的保护作用.
科学领域:
- 心理学 心理学 心理学
- 数字健康数字健康
- 心理健康研究 心理健康研究
背景情况:
- 数字技术的使用普遍存在,引发了人们对心理健康影响的担忧.
- 自律是一种潜在的保护因素,但其在与技术使用和痛苦有关的不同心理形状中的作用尚不清楚.
- 以人为中心的方法,如潜在的个人资料分析,可以提供洞察力,特别是在代表性不足的人群中.
研究的目的:
- 识别基于自我调节,恐惧症和有问题的互联网/社交媒体使用的潜在心理形象.
- 在哥伦比亚样本中检查这些个人资料与心理痛苦和情绪症状的关联.
- 探索年龄和性别在班级成员身份中的预测作用.
主要方法:
- 用453名参与者 (年龄在12-57岁之间) 进行了隐形形象分析.
- 经过验证的措施评估了自我监管,恐惧症,互联网/社交媒体使用和心理困扰.
- ANOVA和回归模型分析了不同个人资料的痛苦差异,并对年龄/性别预测因素进行了多项逻辑回归.
主要成果:
- 出现了四个不同的潜伏形状,心理困扰有显著差异 (P<.001).
- 高度的自我调节和低问题的技术使用与最低的痛苦相关.
- 年龄和性别预测了个人资料的成员资格;年长的男性更倾向于低压力个人资料,而年轻的女性更倾向于高压力个人资料.
结论:
- 隐性个人资料分析揭示了数字行为,自我调节和痛苦的不同配置.
- 自我调节成为一个关键的因素,区分具有较低困境的个人资料.
- 研究结果支持以人为中心的方法来理解技术使用模式,并强调需要在代表性不足的人群中进行研究.
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