Griffith University, Australia.
University of the Sunshine Coast, Australia.
Appl Psychol Health Well Being. 2020 Dec;12(4):1244-1269. doi: 10.1111/aphw.12231. Epub 2020 Oct 2.
This study examined the social cognition determinants of social distancing behavior during the COVID-19 pandemic in samples from Australia and the US guided by the health action process approach (HAPA).
Participants (Australia: N = 495, 50.1% women; US: N = 701, 48.9% women) completed HAPA social cognition constructs at an initial time-point (T1), and one week later (T2) self-reported their social distancing behavior.
Single-indicator structural equation models that excluded and included past behavior exhibited adequate fit with the data. Intention and action control were significant predictors of social distancing behavior in both samples, and intention predicted action and coping planning in the US sample. Self-efficacy and action control were significant predictors of intention in both samples, with attitudes predicting intention in the Australia sample and risk perceptions predicting intention in the US sample. Significant indirect effects of social cognition constructs through intentions were observed. Inclusion of past behavior attenuated model effects. Multigroup analysis revealed no differences in model fit across samples, suggesting that observed variations in the parameter estimates were relatively trivial.
Results indicate that social distancing is a function of motivational and volitional processes. This knowledge can be used to inform messaging regarding social distancing during COVID-19 and in future pandemics.
本研究以健康行动过程方法(HAPA)为指导,在来自澳大利亚和美国的样本中,考察了 COVID-19 大流行期间社会距离行为的社会认知决定因素。
参与者(澳大利亚:N=495,50.1%为女性;美国:N=701,48.9%为女性)在初始时间点(T1)完成 HAPA 社会认知结构,一周后(T2)自我报告其社会距离行为。
排除和包含过去行为的单指标结构方程模型与数据具有良好的拟合度。意图和行动控制是两个样本中社会距离行为的重要预测因素,而在美国样本中,意图预测行动和应对计划。在两个样本中,自我效能和行动控制是意图的重要预测因素,态度在澳大利亚样本中预测意图,风险感知在美国样本中预测意图。通过意图观察到社会认知结构的显著间接效应。过去行为的纳入减弱了模型效应。多组分析表明,样本之间的模型拟合没有差异,这表明观察到的参数估计值的变化相对较小。
结果表明,社会距离是动机和意志过程的函数。这一知识可用于为 COVID-19 期间和未来的大流行期间的社会距离信息提供依据。