目的:本研究的目的是检查多种健康行为的时间动态(身体活动,酒精消费,健康饮食,香烟消费,娱乐性药物使用,vaping),和大流行相关的健康行为(例如,洗手,物理距离)使用网络心理测量学。
方法:国际COVID-19意识和反应评估(iCARE)研究是一项关于公众意识的国际多波观察队列研究,态度,以及为减少COVID-19在世界各地人群中的传播而实施的公共卫生政策。对来自加拿大人(n=254)的纵向数据的子样本进行了四波分析(2020年2月至7月)。
方法:我们使用时间网络模型来拟合时间网络,同时代的网络,以及来自iCARE调查项目的受试者间网络。
结果:在体力活动和健康饮食之间观察到时间上的正相关,户外口罩使用和vaping之间存在明显的双向关系。一个同期的网络揭示了消费行为(vaping,香烟使用,酒精使用,和娱乐性药物使用),体力活动和药物使用之间的负面关联,健康饮食和吸烟。
结论:健康行为是相互关联的,可以建模为网络或行为系统。将时间网络分析应用于多种健康行为的研究非常适合解决该领域的关键研究问题,例如“多种健康行为如何随时间相互变化”。未来的研究使用时间序列数据和测量行为的情感和认知媒介,除了健康行为,有可能贡献有价值的假设生成见解。
OBJECTIVE: The aim of this study was to examine the temporal dynamics of multiple health behaviours (physical activity, alcohol consumption, healthy eating, cigarette consumption, recreational drug use, vaping), and pandemic-related health behaviours (e.g., hand washing, physical distancing) using network psychometrics.
METHODS: The International COVID-19 Awareness and Responses Evaluation (iCARE) study is an international multi-wave observational cohort study of public awareness, attitudes, and responses to public health policies implemented to reduce the spread of COVID-19 on people around the world. A sub-sample of longitudinal data from Canadians (n = 254) was analysed across four waves (February-July 2020).
METHODS: We used temporal network models to fit temporal
networks, contemporaneous
networks, and between-subject
networks from items within the iCARE survey.
RESULTS: Positive temporal associations were observed between physical activity and healthy eating, and a bidirectional relationship was evident between outdoor mask use and vaping. A contemporaneous network revealed positive associations between consumption behaviours (vaping, cigarette use, alcohol use, and recreational drug use), and negative associations between physical activity and drug use, and healthy eating and cigarette use.
CONCLUSIONS: Health behaviours are interconnected and can be modelled as
networks or behavioural systems. The application of temporal network analysis to the study of multiple health behaviours is well suited to address key research questions in the field such as \'how do multiple health behaviours co-vary with one another over time\'. Future research using time series data and measuring affective and cognitive mediators of behaviour, in addition to health behaviours, has the potential to contribute valuable hypothesis-generating insights.