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一项对四项研究的协调数据分析,探讨全球大流行期间社会互动和孤独的年龄差异
Shevaun D Neupert1, Eileen K Graham2, Destiny Ogle3
1Department of Psychology, North Carolina State University, Raleigh, North Carolina, USA.
概括
在COVID-19疫情期间,社交互动始终减少了所有年龄组的孤独感. 这项协调的数据分析证实,年龄差异并没有显著影响社会联系和孤立感之间的关系.
科学领域:
- 心理学 心理学 心理学
- 社会学 社会学 社会学
- 公共卫生 公共卫生
背景情况:
- 人口范围内的历史事件,如COVID-19大流行,为研究社会隔离和孤独提供了独特的机会.
- 了解对社会隔离反应的年龄差异对于理论发展和公共卫生干预至关重要.
研究的目的:
- 在COVID-19流行病的第一年检查孤独和社会隔离.
- 调查社会互动与孤独之间的关系中的潜在年龄差异.
- 为了确定这些关联是否在不同地区和随着时间的推移而有所不同.
主要方法:
- 使用了协调数据分析 (CDA) 方法,结合了来自4项研究的数据,共计1,307名参与者和18,492个观察.
- 数据被协调到一个共同的时期 (2020-2021年),变量被标准化.
- 使用普通最小平方回归和多层模型来分析人与人之间的变化.
主要成果:
- 在一项研究中,社交互动与个人内部和个人之间的孤独有负面关联,这种模式在流行病早期和晚期保持.
- 在所有数据集中,在社交互动和孤独之间的人内或人间的关联中没有发现显著的年龄差异.
- 协调数据分析方法成功地确定了共同和分歧的模式.
结论:
- 协调数据分析 (CDA) 方法框架允许检测社会互动和孤独的一致和不同的模式.
- 研究结果表明,社会互动和孤独之间的关系在不同年龄段,不同地区和不同社会事件期间的研究设计中是强大的.
- 这项研究强调了CDA对理解危机期间复杂的社会现象的有用性.
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