[Optimal cut-point of salivary cotinine concentration to discriminate smoking status in the adult population in Barcelona]

Gac Sanit. 2009 Nov-Dec;23(6):501-5. doi: 10.1016/j.gaceta.2009.03.003. Epub 2009 Jul 1.
[Article in Spanish]

Abstract

Objective: To assess the optimal cut-point for salivary cotinine concentration to identify smoking status in the adult population of Barcelona.

Methods: We performed a cross-sectional study of a representative sample (n=1,117) of the adult population (>16 years) in Barcelona (2004-2005). This study gathered information on active and passive smoking by means of a questionnaire and a saliva sample for cotinine determination. We analyzed sensitivity and specificity according to sex, age, smoking status (daily and occasional), and exposure to second-hand smoke at home. ROC curves and the area under the curve were calculated.

Results: The prevalence of smokers (daily and occasional) was 27.8% (95% CI: 25.2-30.4%). The optimal cut-point to discriminate smoking status was 9.2 ng/ml (sensitivity=88.7% and specificity=89.0%). The area under the ROC curve was 0.952. The optimal cut-point was 12.2 ng/ml in men and 7.6 ng/ml in women. The optimal cut-point was higher at ages with a greater prevalence of smoking. Daily smokers had a higher cut-point than occasional smokers.

Conclusions: The optimal cut-point to discriminate smoking status in the adult population is 9.2 ng/ml, with sensitivities and specificities around 90%. The cut-point was higher in men and in younger people. The cut-point increases with higher prevalence of daily smokers.

Publication types

  • English Abstract
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Area Under Curve
  • Cotinine / analysis*
  • Cross-Sectional Studies
  • Female
  • Habits
  • Humans
  • Male
  • Middle Aged
  • Prevalence
  • ROC Curve
  • Saliva / chemistry*
  • Sensitivity and Specificity
  • Smoking / epidemiology
  • Smoking / metabolism*
  • Spain / epidemiology
  • Surveys and Questionnaires
  • Tobacco Smoke Pollution / analysis*
  • Tobacco Smoke Pollution / statistics & numerical data
  • Young Adult

Substances

  • Tobacco Smoke Pollution
  • Cotinine