Association between passive and active smoking evaluated by salivary cotinine and periodontitis.

AIM: This study attempted to determine the relationship between passive and active smoking on the basis of salivary cotinine levels and periodontitis severity. METHODS: Japanese workers (n=273) were surveyed via an oral examination, a self-administered questionnaire and collection of whole saliva. Probing pocket depth (PPD) and clinical attachment level (CAL) served as periodontal parameters. Periodontitis was defined as the presence of two or more teeth with PPD > or =3.5 mm and CAL > or =3.5 mm. Salivary cotinine was determined using ELISA. Statistical methods included Wilcoxon's rank-sum test and multiple logistic regression analysis. RESULTS: Based on the results of receiver-operating characteristic plots for cotinine-level classification derived from self-reported smoking status, non-, passive and active smokers were defined as those subjects exhibiting cotinine levels of 0, 1-7 and > or =8 ng/ml, respectively. Numbers of teeth displaying CAL > or =3.5 mm in passive and active smokers were significantly higher than those in non-smokers. Multiple logistic regression analysis revealed significantly higher periodontitis odds ratios in passive and active smokers relative to non-smokers following adjustment for other lifestyle factors; odds ratios were 2.87 [95% confidence interval (CI); 1.05-7.82] and 4.91 (95% CI; 1.80-13.35), respectively. CONCLUSION: These findings suggest that passive smoking classified in terms of salivary cotinine level may be an independent periodontitis risk indicator.

Determination of smoking and obesity as periodontitis risks using the classification and regression tree method.

BACKGROUND: A model that focuses on personal risk factors associated with poor lifestyle has been proposed for the etiology of generalized periodontitis. Numerous investigations have linked individual lifestyle-related factors to periodontitis risk; however, a definite relationship among lifestyle-related factors remains unclear. The objective of this study was to determine which lifestyle-related factors demonstrated the greater impact on periodontitis risk. METHODS: The association of lifestyle-related factors, such as smoking status and obesity, with periodontitis was assessed in 372 Japanese workers via a self-administered questionnaire. Smoking status and obesity were evaluated in terms of pack-years and body mass index (BMI), respectively. Clinical periodontal examination included probing depth (PD). The effective impact on periodontitis risk was analyzed by the classification and regression tree (CART) method and multiple logistic regression analysis. RESULTS: Simple logistic regression analyses revealed that factors such as age, gender, alcohol consumption, smoking status, BMI, and frequency of toothbrushing were associated with periodontitis. CART results demonstrated a significant correlation between periodontitis and pack-years, BMI, and age; in contrast, alcohol consumption, gender, and toothbrushing frequency were not correlated with periodontitis. The strongest factor for periodontitis risk was pack-years of smoking. Additionally, both pack-years and BMI exhibited clear dose-response relationships with periodontitis. These relationships were maintained despite adjustment for known confounding factors. CONCLUSIONS: Smoking displays the greatest impact on periodontitis among lifestyle-related factors. Both smoking and obesity are independent risk indicators for periodontitis; moreover, these parameters exhibit a dose-response relationship with respect to periodontitis risk.