Contribution of occupational factors to current smoking among active-duty U.S. Navy careerists.
Rates of cigarette smoking among active-duty U.S. military personnel remain elevated, ranging from 23% among Air Force personnel to 38% among Army personnel. The purpose of this study was to estimate the contribution of occupational factors to current smoking and heavy smoking among a sample of Navy careerists (those with at least 7 years of military service), and to determine if gender moderates these associations. Participants in the study (n = 2,922) were randomly recruited within over-sampled strata of women and racial/ethnic minorities, and voluntarily completed confidential self-administered questionnaires on drinking, smoking, demographic, and occupational factors during 2001-2002. Approximately 23% of study participants reported current smoking; 9% reported heavy smoking. Multivariate logistic regression models were developed to estimate the contribution of occupational factors to current smoking and heavy smoking. The results indicated that careerists in the enlisted ranks were significantly more likely to be current smokers and heavy smokers compared with careerist officers. In addition, those who were deployed at sea were significantly more likely to report current smoking compared with those not currently deployed at sea. Mean daily ounces of alcohol were also significantly associated with likelihood of current and heavy smoking. Gender did not modify the association between occupational factors and smoking. Because aspects of the work environment are potentially modifiable, understanding the role of occupational factors vis-à-vis smoking can aid in smoking prevention and cessation efforts within the military.
Cunradi
Carol B
CB
Prevention Research Center, Pacific Institute for Research and Evaluation, Berkeley, CA 94704, USA. Cunradi@prev.org
Moore
Roland S
RS
Ames
Genevieve
G
D000328:Adult; D000428:Alcohol Drinking / Q000453:epidemiology; D002055:Burnout, Professional / Q000453:epidemiology* / Q000523:psychology; D015897:Comorbidity; D003863:Depression / Q000453:epidemiology; D005260:Female; D006306:Health Surveys; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D008889:Military Personnel / Q000523:psychology / Q000706:statistics & numerical data*; D016273:Occupational Exposure / Q000706:statistics & numerical data*; D017678:Sex Distribution; D012907:Smoking / Q000453:epidemiology* / Q000523:psychology; D016540:Smoking Cessation / Q000706:statistics & numerical data; D011795:Surveys and Questionnaires; D014029:Tobacco Use Disorder / Q000453:epidemiology* / Q000523:psychology; D014481:United States / Q000453:epidemiology; D014857:Warfare