抄録
In this paper, structural equation modeling (SEM) is used to analyze the causal relationship between sleep stages and environmental data. The data used for the analysis is obtained by a care support device used in an elderly care facility. By applying the stepwise method to this data, we were able to find four observation variables that affect sleep stages. The latent variables are then determined by a scree plot. We proposed a causal model in which four observed variables and two latent variables affect sleep levels. Statistical analysis environment R and the lavaan package were used for SEM analysis in this paper. The results show that SEM can be used to build a rational model for the effects of vital signs and environmental conditions on good sleep.
