Second, we asked respondents, ��Which statement best describes smoking in U0126 supplier your home?�� The response choices for this item included ��people smoke anywhere inside your home,�� ��people smoke in some rooms or at some times,�� and ��people do not smoke anywhere inside your home.�� Third, we created a smoker-related stigma scale comprising two items: ��Most people believe that smoking is a sign of personal failure�� and ��most people think less of a person who smokes.�� Responses to each component question were on a four-point Likert scale that ranged from strongly disagree to strongly agree. We created a summary score that combined the two stigma items (alpha=.65) and that ranged from 1 to 7 and also created a tertile scale representing low, medium, and high stigma.

From three items, we created a measure of perceived differential treatment due to smoking. We asked respondents to reply yes or no to the following questions: (a) Have you had difficulty renting an apartment or finding housing because of your smoking? (b) Were you turned down for a job for which you were qualified because of your smoking? and (c) Were you refused or charged more for health insurance because of your smoking? Respondents who answered yes to any of these three questions were coded as perceiving differential treatment due to smoking. Here we report the prevalence of each of these variables and, using bivariate and multivariate analyses, assess the relationship between the variables and whether one reported keeping their smoking status a secret from a health care provider (Table 1).

We constructed a multivariate logistic regression model to determine predictors of keeping one’s smoking status a secret from a health care provider. We included in the model all variables significantly related with keeping one’s smoking status a secret from a health care provider and controlled for age, education, race/ethnicity, income, parental status, marital status, health status, cigarettes per day, and tobacco dependence. We weighted the sample by the probability of persons and telephones in the household. SUDAAN was used to analyze the data to appropriately handle SEs with survey weights. Table 1. Predictors of keeping one’s smoking status a secret from a health care provider Results Some 8% of current smokers (N=63) reported ever keeping their smoking status a secret from a health care provider. Bivariate analyses revealed no demographic patterns in terms of who reported AV-951 ever keeping their smoking status a secret from a health care provider (see Table 1). We found no significant relationships between the variables measuring tobacco use and nondisclosure.