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Journal of Community Health

, Volume 22, Issue 2, pp 115–125 | Cite as

Prevalence and Predictors of Tobacco Use Among Lumbee Indian Women in Robeson County, North Carolina

  • John Given Spangler
  • Ronny Antonio Bell
  • Mark Boberg Dignan
  • Robert Michielutte
Article

Abstract

Tobacco use among some Native American tribes is high compared to the overall US population. Little is known, however, about tobacco use among Native Americans in North Carolina, a state with strong economic ties to tobacco. To assess the epidemiology of tobacco use in this population, data from the North Carolina Native American Cervical Cancer Project was reviewed. Nine hundred eighty-two Lumbee Indian women in Robeson County provided general demographic information as well as information on cancer risk knowledge, attitudes and behaviors during the 5-year study. Women were selected from the community using a random sample of 5200 persons from the tribal roll of approximately 40,000 persons. 20.6% of women were current smokeless tobacco users, while 23.7% were current smokers. Demographic and social support predictors were unique for the different types of tobacco use. Cigarette smoking was associated with younger age, higher education, excellent or good self-reported health, having a recent physical exam, separated or divorced marital status, low church participation, and alcohol consumption. Conversely, use of smokeless tobacco was associated with older age, lower education level, fair or poor self-reported health, widowed marital status, and having a high number of friends. These data show a high prevalence of smokeless tobacco use among women in this population, and a contrast in the predictors of tobacco use by source. Intervention programs for tobacco use cessation should be sensitive to these differences.

Keywords

Cervical Cancer Smokeless Tobacco Lower Education Level Tobacco User Risk Knowledge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Human Sciences Press, Inc. 1997

Authors and Affiliations

  • John Given Spangler
    • 1
  • Ronny Antonio Bell
    • 2
  • Mark Boberg Dignan
    • 3
  • Robert Michielutte
    • 4
  1. 1.Bowman Gray School of MedicineWake Forest UniversityWinston-Salem
  2. 2.Bowman Gray School of MedicineWake Forest UniversityWinston-Salem
  3. 3.AMC Cancer Research CenterDenver
  4. 4.Bowman Gray School of MedicineWake Forest UniversityWinston-Salem

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