Rahal Danny, Fosco Gregory M, Lanza Stephanie T
Psychology, University of California, Santa Cruz, Santa Cruz, California, USA.
Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University, University Park, Pennsylvania, USA.
J Am Coll Health. 2025 Jan 29:1-13. doi: 10.1080/07448481.2024.2449428.
The purpose of the study was to test whether associations between affect variability and mental health (i.e., anxiety symptoms, depressive symptoms, flourishing) differ by mean levels of affect during the COVID-19 pandemic. College students ( = 1883; =19.81, = 1.33) completed a survey and 21 daily reports of affect ( = 19.41 surveys, = 4.19). We calculated mean affect and affect variability (i.e., standard deviation) from daily reports. Regression models then tested associations between positive and negative affect variability and mental health. Participants with higher positive affect variability had higher anxiety symptoms, depressive symptoms, and surprisingly higher flourishing. Higher negative affect variability was associated with poor mental health for individuals with low mean negative affect, and was associated with better mental health for individuals with high mean negative affect. Affect variability may simultaneously tax mental health for certain individuals and enable others to appreciate daily experiences and have better mental health.
该研究的目的是检验在新冠疫情期间,情感变异性与心理健康(即焦虑症状、抑郁症状、幸福感)之间的关联是否因情感平均水平的不同而有所差异。大学生(n = 1883;年龄M = 19.81,标准差SD = 1.33)完成了一项调查以及21份关于情感的每日报告(M = 19.41份调查,SD = 4.19)。我们从每日报告中计算出情感均值和情感变异性(即标准差)。然后,回归模型检验了积极和消极情感变异性与心理健康之间的关联。积极情感变异性较高的参与者有更高的焦虑症状、抑郁症状,且令人惊讶的是,幸福感也更高。对于平均消极情感较低的个体,较高的消极情感变异性与心理健康不佳有关;而对于平均消极情感较高的个体,较高的消极情感变异性则与较好的心理健康有关。情感变异性可能会同时给某些个体的心理健康带来负担,而使另一些个体能够欣赏日常经历并拥有更好的心理健康。