The technical team conducted a correlation analysis and multiple linear regression analysis on 22 cigarette brands, focusing on 5 toxicological indicators (MR value, SCE rate, micronucleus rate, cell death rate, and passive smokinginduced mouse mortality rate) and 5 chemical indicators (tar, nicotine, CO, TSNA, and BaP).
The results indicated that there is a certain correlation between the biological effects of cigarette smoke and the important harmful chemical constituents in the smoke. Among these, TSNA was identified as the most significant factor influencing MR value, SCE rate, and cell death rate (P<0.01). However, there was no correlation found between the micronucleus rate, passive smokinginduced mouse acute mortality rate, and the levels of tar, nicotine, CO, TSNA, and BaP (P>0.05). Therefore, significantly reducing the TSNA content in cigarette smoke could potentially decrease the health risks associated with smoking.