开发一个cyberchondria严重程度尺度,以促进大学生在COVID-19期间的自我护理
1Center for Teaching and Learning Development, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan. wanchen@nkust.edu.tw.
Scientific reports
|October 10, 2024
概括
这项研究引入了Cyberchondria Severity Scale (CSS) 来测量大学生对健康的焦虑. 经过验证的CSS工具有助于评估与在线健康信息搜索相关的焦虑和强迫行为.
科学领域:
- 心理学 心理学 心理学
- 医疗信息学 医疗信息学
- 行为科学 行为科学
背景情况:
- 由于焦虑,在线搜索健康信息的强迫性,加剧了健康担忧.
- 大学学生是体验健康相关焦虑和在线信息搜索行为增加的关键人口统计.
研究的目的:
- 为大学生制定和验证一个可靠和准确的网络密度度量 (CSS) 量身定制.
- 评估台湾大学生中网络粒体的流行程度和规模.
主要方法:
- 探索性因素分析 (EFA) 用了145个问卷来开发最初的CSS.
- 确认因素分析 (CFA) 基于台湾全国大学生调查的802个问卷.
- 统计分析包括Cronbach的alpha,复合可靠性和差异提取以确保尺度的有效性和可靠性.
主要成果:
- CSS表现出强大的可靠性 (克朗巴赫的α=0.92) 和有效性,具有四个构造:增加焦虑,强迫症,感知可控性和在线医生与患者互动.
- 因素负载在0.71到0.93之间,复合材料的可靠性在0.83到0.90之间,表明强大的心理测量特性.
- 在各个维度中发现了显著的差异,感知可控性得分最高,痴迷强迫性缺陷体最低.
结论:
- 网络体重度量表 (CSS) 是一款用于测量大学生网络体重度的心理测量仪器.
- 研究结果强调需要进一步研究影响网络体的因素,并采取干预措施来促进健康的在线健康信息搜索行为.
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