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Objectives: This study aimed to examine gender differences in healthy lifestyle behaviors and addictive behaviors, and to explore the relationship between Healthy Lifestyle Score (HLS) and two major addiction indicators—nicotine dependence (FTND) and alcohol use (AUDIT)—among adult men and women. The study sought to determine (1) whether HLS differs by gender, (2) whether FTND and AUDIT scores differ by gender, (3) how the association between HLS and addiction indicators varies by gender, and (4) which factors predict HLS in each gender group. Methods: A cross-sectional survey was conducted in 2024 using an online panel of U.S. adults aged 19 years or older. After data cleaning, 311 participants (122 men, 189 women) were included in the final analysis. Healthy lifestyle behaviors were measured using the Healthy Lifestyle Screening Tool (HLST), nicotine dependence using the Fagerström Test for Nicotine Dependence (FTND), and alcohol use using the Alcohol Use Disorders Identification Test (AUDIT). Data were analyzed with descriptive statistics, independent t-tests, ANOVA, Pearson correlations, MANOVA, and multiple regression. The study was approved by the Institutional Review Board. Results: Men demonstrated significantly higher HLS scores than women (p=.023), particularly in exercise, air quality, rest, and general health domains. However, FTND and AUDIT scores did not significantly differ by gender. Correlation analyses showed no significant association between HLS and addiction indicators for either gender, whereas FTND and AUDIT were positively correlated in both groups. Regression analyses indicated that among men, higher FTND predicted higher HLS, while higher AUDIT predicted lower HLS. Conclusions: The findings suggest that healthy lifestyle behaviors differ by gender, whereas nicotine dependence and alcohol use levels do not show strong gender distinctions. The relationship between lifestyle and addictive behaviors appears to be multidimensional rather than linear, influenced by psychological and sociocultural factors. Gender-specific approaches may be needed in addiction prevention and recovery interventions: men may benefit from behavior-oriented strategies emphasizing physical activity and self-efficacy, while women may require interventions focused on emotional regulation and social connectedness. These findings support the need for gender-responsive addiction treatment and contribute to a more nuanced understanding of how lifestyle behaviors relate to addiction indicators.