Presence or absence of visual height selleckchem intolerance (status as case or control) was defined as outcome. Questions on alcohol consumption were related to the overall frequency of alcohol consumption, the daily quantities of consumed alcohol, and the motive for consuming alcohol, that is, consumption with the intention to relieve visual height intolerance and to cope with the fear-evoking situation. Only cases as defined above answered the latter question. Quantity was defined as glasses of beer, wine or sparkling wine and liquor. Alcohol consumption was calculated on the basis of the Inhibitors,research,lifescience,medical reported frequency of consumption and the number of glasses

of alcoholic beverages consumed per day. One standard drink was defined as equivalent to 12 g of pure alcohol (World Health Organization 2004). The following categories for alcohol consumption Inhibitors,research,lifescience,medical were used: nondrinker, >0–6 g/day (>0–0.5

drink/day), >6–12 g/day (>0.5–1 drink/day), >12–24 g/day (>1–2 drinks/day), >24–60 g/day (>2–5 drinks/day), >60 g/day (>5 drinks/day). As only one person fell in the highest category, the upper two categories were subsumed under one. Heavy alcohol consumption was defined as 60 g/day for men and 30 g/day for women (World Cancer Research Inhibitors,research,lifescience,medical Fund/American Institute for Cancer Research 2007). Sociodemographic characteristics, that is, age, sex, household size, income, occupation, education, and the presence or absence of self-reported fear or panic were used as covariates. Age was stratified into seven categories (<14–19, 20–29, 30–39, 40–49, 50–59, 60–69, 70, and above). Education was stratified into five categories (grade school without vocational training, grade school with vocational training, secondary school, postsecondary Inhibitors,research,lifescience,medical school (Abitur) and university, still attending school). Statistical analysis Means were used for continuous variables and percentages for categorical variables. Explorative t-tests and chi-square tests were applied for

comparisons of individuals with symptoms Inhibitors,research,lifescience,medical of visual height intolerance and those without, as well as multiple Drug_discovery logistic regression analyses to determine the association of alcohol consumption and visual height intolerance. A variable was a candidate for entrance into the regression model, if it had a P-value <0.20 in the bivariate test. To avoid colinearity, variables were selected for entering the multiple logistic models only if the Spearman correlation coefficient was <0.5. When necessary to choose between two correlated variables, the variable with the stronger association with the dependent variable was entered into the model. As stepwise regression modeling may result in the selection of unstable subsets (Steyerberg et al. 2001), all candidate variables were included in the final models. SAS statistical software was used for all analyses (V9.3, SAS Institute Inc. Cary, NC).