title: Occupations, cigarette smoking, and lung cancer in the epidemiological follow-up to the NHANES I and the California Occupational Mortality Study.
abstract: What jobs are associated with the highest and lowest levels of cigarette use and of lung cancer? Are there gender differences in these jobs? Two data sets-the Epidemiological Follow-up to the National Health and Nutrition Examination Survey (NHEFS) and the California Occupational Mortality Study (COMS) were analyzed to answer these questions. For females, the broad occupations ranking from highest to lowest cigarette use in the NHEFS was: transportation operators, managers, craft workers, service workers, operatives, laborers, technicians, administrative workers, farm owners and workers, sales workers, no occupation, and professionals. The corresponding ranking for males was: transportation operators, no occupation, laborers, craft workers, service workers, technicians, and professionals. The highest-ranking jobs in the COMS were waitresses, telephone operators, and cosmetologists for women, and water-transportation workers, roofers, foresters and loggers for men. Teachers were especially low on all four lists. This study could not determine whether employment within any occupation encouraged smoking or if smokers selected certain occupations.
authors.affiliation: Department of Economics, San Jose State University, CA 95192-0114, USA.
authors.forename: J P
authors.initials: JP
authors.lastname: Leigh
mesh_terms: D000288:Administrative Personnel / Q000706:statistics & numerical data; D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000383:Agriculture / Q000706:statistics & numerical data; D001505:Beauty Culture / Q000706:statistics & numerical data; D002140:California / Q000453:epidemiology; D004651:Employment / Q000706:statistics & numerical data; D005260:Female; D005500:Follow-Up Studies; D016468:Forestry / Q000706:statistics & numerical data; D006801:Humans; D008175:Lung Neoplasms / Q000453:epidemiology*; D008297:Male; D008875:Middle Aged; D009784:Occupational Diseases / Q000401:mortality; D009790:Occupations / Q000706:statistics & numerical data*; D044469:Racial Groups; D012147:Restaurants / Q000706:statistics & numerical data; D012737:Sex Factors; D012907:Smoking / Q000453:epidemiology*; D013663:Teaching / Q000706:statistics & numerical data; D013672:Technology / Q000706:statistics & numerical data; D013689:Telephone / Q000706:statistics & numerical data; D014186:Transportation / Q000706:statistics & numerical data; D014481:United States / Q000453:epidemiology