Risk profiles for smoke behavior in COVID-19: a classification and regression tree analysis approach.

ABSTRACT:

Background

COVID-19 pandemic emerged worldwide at the end of 2019, causing a severe global public health threat, and smoking is closely related to COVID-19. Previous studies have reported changes in smoking behavior and influencing factors during the COVID-19 period, but none of them explored the main influencing factor and high-risk populations for smoking behavior during this period.

Methods

We conducted a nationwide survey and obtained 21,916 valid data. Logistic regression was used to examine the relationships between each potential influencing factor (sociodemographic characteristics, perceived social support, depression, anxiety, and self-efficacy) and smoking outcomes. Then, variables related to smoking behavior were included based on the results of the multiple logis

SUBMITTER: Chen J 

PROVIDER: S-EPMC10664606 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature