Abstract
INTRODUCTION: Gender-specific variations in hormonal profiles, adipose tissue distribution, and metabolic pathways may differentially modulate the health impacts of smoking and alcohol use. Current population-based studies on the impact of smoking and alcohol consumption on cardiometabolic diseases (CMD) and multimorbidity (CMM) often lack gender-stratified analyses, thereby limiting the evidence base for gender-tailored preventive strategies. METHODS: This population-based cross-sectional study used data from the 2020 China Health and Retirement Longitudinal Study (CHARLS), and a total of 11447 participants were included in the analysis. Multinomial logistic regression was conducted to assess behavioral risk factors, with interaction terms evaluating effect modification by gender. RESULTS: The prevalence was 16.67% for CMD and 5.66% for CMM. Participants who smoked were more likely to report CMM than those who did not smoke (OR=2.70, p<0.05). Smoking was significantly associated with the prevalence of CMD in females (AOR=1.34, p<0.05), but not in males (p=0.556). Moreover, female smokers were more likely to report CMM compared to male smokers (AOR(females)=3.53, AOR(males)=2.02, p<0.05). No significant associations were found between alcohol consumption and the prevalence of CMD or CMM, nor were any gender-specific differences observed. CONCLUSIONS: Smoking may have a potential gender-specific effect on the risk of CMD and CMM, with female smokers exhibiting a higher prevalence of CMM than males. This highlights the need to integrate gender considerations into chronic disease prevention frameworks.