探索中国居民的媒体使用频率与焦虑之间的关系:潜伏的个人资料分析
Yi Guo1, Zhuliu Gong1, Ziyi Zhang2
1School of Journalism and Communication, Chongqing University, Chongqing, China.
Frontiers in psychiatry
|March 26, 2025
概括
传统和全媒体用户报告的焦虑程度高于新媒体用户. 焦虑与媒体习惯和个人因素有关,需要量身定制的心理健康策略.
科学领域:
- 心理学 心理学 心理学
- 媒体研究 媒体研究
- 公共卫生 公共卫生
背景情况:
- 在当今数字时代,了解媒体消费与心理健康之间的复杂相互作用至关重要.
- 焦虑症是一个重大的公共卫生问题,需要对其多样化的促成因素进行研究.
- 以前的研究已经探讨了媒体对心理健康的影响,但对不同媒体使用配置文件缺乏细微的理解.
研究的目的:
- 调查不同媒体使用模式与大量中国人口中的焦虑程度之间的关系.
- 为了确定不同的媒体消费概况 (传统,新,全媒体) 如何影响焦虑.
- 在每个媒体使用概况中,探索与焦虑相关的人口和社会经济因素.
主要方法:
- 基于使用频率,使用隐性个人资料分析 (LPA) 将11,031名受访者分为三个媒体使用配置文件.
- 多个线性回归分析检查了媒体使用类型和焦虑水平之间的关联.
- 对于每个已识别的媒体使用概况,对影响焦虑的因素进行了单独分析.
主要成果:
- 与新媒体主导用户相比,传统媒体主导用户和全媒体用户报告的焦虑水平显著更高.
- 地理区域,健康素养,收入,债务,就业稳定性和财产所有权在各个方面都对焦虑产生了不同的影响.
- 在所有媒体使用群体中,感知到的压力和抑郁症始终成为焦虑的积极预测因素.
结论:
- 与新媒体占主导地位相比,传统媒体占主导地位和全媒体占主导地位的使用模式都与高度焦虑有关.
- 焦虑是一种多因素问题,受特定媒体参与背景下的人口,社会经济和心理因素交叉影响.
- 对焦虑的干预应该是个性化的,考虑到个体独特的媒体消费习惯和相关的风险因素.
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