Nonlinear effects of pandemic uncertainty on depression, pandemic preventive behavior intentions, and positive life attitudes: Moderating effects of high and low uncertainty grouping | |
Zeyu Liu1,2; Yun Liu1,2,3; Ang Li4; Tingshao Zhu1,2 | |
第一作者 | Zeyu Liu ; Yun Liu |
通讯作者邮箱 | angli@bjfu.edu.cn (ang li) |
心理所单位排序 | 1 |
摘要 | Backgrounds: COVID-19 is difficult to end in a short time and people are still facing huge uncertainties. Since people's lives are gradually returning to normal, the sense of control and intolerance of uncertainty, which were mainly focused by past studies, are not specific to COVID-19 and will be more influenced by some factors unrelated to the pandemic. Therefore, they may be difficult to accurately reflect the individuals' perceptions of uncertainty. Besides, past research just after the outbreak mainly investigated people in high levels of uncertainty, we don't know the impact of uncertainties on individuals' psychological states when people gradually recovered their sense of control. To solve these problems, we proposed the concept of “pandemic uncertainty” and investigated its impact on people's daily lives. Methods: During October 20, 2021 to October 22, 2021, this study obtained data about uncertainty, depression, positive attitude, pandemic preventive behavior intentions, personality, and social support from 530 subjects using convenient sampling. The subjects were all college students from the Dalian University of Technology and Dalian Vocational and Technical College. According to the distribution of uncertainty, we divided the dataset into high and low groups. Subsequently, by using uncertainty as the independent variable, the grouping variable as the moderating variable, and other variables as the control variables, the moderating effects were analyzed for depression, positive attitude, and pandemic preventive behavior intentions, respectively. Results: The results showed that the grouping variable significantly moderate the influence of uncertainty on positive attitude and pandemic preventive behavior intentions but had no significant effect on depression. Simple slope analysis revealed that high grouping uncertainty significantly and positively predicted positive attitude and pandemic preventive behavior intentions, while low grouping effects were not significant. Conclusion: These results reveal a nonlinear effect of pandemic uncertainty on the pandemic preventive behavior intentions and positive life attitudes and enlighten us about the nonlinear relationship of psychological characteristics during a pandemic. |
关键词 | normalized era of COVID-19 pandemic uncertainty depression positive life attitudes preventive behavior intentions nonlinear effects orderly state of life moderating effects |
2023 | |
语种 | 英语 |
DOI | 10.3389/fpubh.2023.1136152 |
发表期刊 | Frontiers in Public Health |
期刊论文类型 | 实证研究 |
URL | 查看原文 |
收录类别 | SCI ; SSCI |
WOS分区 | Q1 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.psych.ac.cn/handle/311026/44986 |
专题 | 社会与工程心理学研究室 |
作者单位 | 1.Institute of Psychology, Chinese Academy of Sciences, Beijing, China 2.Department of Psychology, University of Chinese Academy of Sciences, Beijing, China 3.Dalian Vocational and Technical College, Dalian, China 4.Department of Psychology, Beijing Forestry University, Beijing, China |
第一作者单位 | 中国科学院心理研究所 |
推荐引用方式 GB/T 7714 | Zeyu Liu,Yun Liu,Ang Li,et al. Nonlinear effects of pandemic uncertainty on depression, pandemic preventive behavior intentions, and positive life attitudes: Moderating effects of high and low uncertainty grouping[J]. Frontiers in Public Health,2023. |
APA | Zeyu Liu,Yun Liu,Ang Li,&Tingshao Zhu.(2023).Nonlinear effects of pandemic uncertainty on depression, pandemic preventive behavior intentions, and positive life attitudes: Moderating effects of high and low uncertainty grouping.Frontiers in Public Health. |
MLA | Zeyu Liu,et al."Nonlinear effects of pandemic uncertainty on depression, pandemic preventive behavior intentions, and positive life attitudes: Moderating effects of high and low uncertainty grouping".Frontiers in Public Health (2023). |
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