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J Eur Acad Dermatol Venereol ; 12(2): 133-9, 1999 Mar.
Article in English | MEDLINE | ID: mdl-10343942

ABSTRACT

BACKGROUND: The potential detrimental effects of tobacco smoking have been widely cited. Tobacco smoking has been linked with facial wrinkling, but some previous studies have failed to take into account a number of potential confounders or were unblinded and thus subjective to bias. OBJECTIVE: This study was designed to determine if there was increased facial wrinkling in smokers directly associated with tobacco usage after controlling for solar risk behavior. SUBJECTS: Eighty-two smokers (> 10 cigarettes per day) and 118 non-smokers (< 100 lifetime cigarettes) were recruited. Caucasian participants completed a questionnaire designed to assess demographic variables and other suspected factors related to wrinkling. METHODS: Three dermatologists, blinded to demographic information, reviewed three photographs of each subject and rated the wrinkling on a 100 mm visual analog scale. Stepwise linear regression was performed on all variables which attained a P < 0.1 level of independent significance. RESULTS: Overall the model accounted for 75.4% (P = 0.0001) of the variance in wrinkling, and predictive variables (P < or = 0.02) included age (partial R2 = 0.69), smoking pack years (R2 = 0.04), hours of outdoor work (R2 = 0.008), freckling (R2 = 0.007), and eye color (R2 = 0.004). A second model was created excluding age which accounted for 37.8% of the variance. The predictive variables in the second model (P < 0.08) included education (partial R2 = 0.08), smoking pack years (R2 = 0.05), hours of outdoor work (R2 = 0.03), weight change (R2 = 0.02), female sex (R2 = 0.02), hours of lifetime sun (R2 = 0.03), tanning bed use (R2 = 0.01), and sunscreen use (R2 = 0.02). CONCLUSIONS: Smoking may significantly contribute to facial wrinkling, but accounts for only 6% of the explained variance. If there is a role for tobacco smoking in causing wrinkling, this role is a minor one.


Subject(s)
Face , Skin Aging/pathology , Smoking/adverse effects , Adult , Age Factors , Aged , Bias , Body Weight , Confounding Factors, Epidemiologic , Educational Status , Eye Color , Female , Forecasting , Humans , Linear Models , Male , Melanosis/complications , Middle Aged , Risk-Taking , Sex Factors , Single-Blind Method , Sunlight/adverse effects , Sunscreening Agents/therapeutic use , Surveys and Questionnaires
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