Abstract
BACKGROUND: Smoking among the Asian American workforce has not been extensively researched. This study examines smoking prevalence among a nationally representative sample of Asian Americans with an emphasis on occupational classification. METHODS: Cross-sectional data come from the National Latino and Asian American Study. Multivariate logistic regression analyses were used to determine smoking prevalence by occupation, gender, and nativity, among 1,528 participants self-identifying as in the labor force. RESULTS: Blue collar workers reported the highest smoking prevalence (32%) followed by unemployed (19%), other (17%), service (14%), and white collar (10%). Among both employed males and females, blue collar workers had the highest prevalence (45% and 18%, respectively). By nativity, smoking was highest among blue collar workers for immigrants (25%) and highest among the unemployed for U.S. born (16%). Blue collar employment was significantly associated with being a current smoker (OR = 2.52; 95% CI: 1.23-5.16; P < 0.05) controlling for demographics (e.g., age, gender, ethnic group, nativity, etc.). CONCLUSIONS: Findings reveal that smoking differs by occupation among Asian Americans. Future research should examine factors explaining differences while considering gender and nativity.