Ethics Our study was conducted in accordance with the ethical approval from the Administrative Students Committee formed by educational staff and the Graduates’ Association of the School of Medicine, University of Fukui, since ethics committee or institutional review
board for ethics (IRB) was under reorganisation at the time in our university. Written informed consent was obtained before taking blood samples. The collected Ispinesib mw data were anonymised and kept securely to ensure personal data confidentiality. Statistical analysis The study variables were dichotomised for convenience: smoking status (never smoked and current or ex-smoker), frequency of prepared foods consumption (less than 3 times a week and more than 4 times a week). Profession of medical doctors was firstly classified into 16 categories listed below, based on current and/or longest-held job obtained from self-reported occupational history, then dichotomised into surgical (orthopaedics,
surgery, neurosurgery, ophthalmology, anaesthesiology, urology, otorhinolaryngology, obstetrics and gynaecology, and Selleck SGC-CBP30 emergency medicine) and non-surgical (internal medicine, radiology, paediatrics, dermatology, psychiatry, basic Torin 1 concentration medicine, and doctor-in-training). Pearson’s chi-square test was used to evaluate the associations between dichotomous variables. When an overall total of the contingency table was less than 20, or the overall total was between 20 and 40 and the smallest expectation was less than five, we followed the recommendation about minimum expectations (Cochran 1954; Kirkwood and Sterne 2003), Fisher’s exact test was used. Univariate and multivariate logistic regression analysis were used to calculate crude and adjusted odds ratios (ORs). To meet the requirement that the number of outcomes per explanatory variables into
the multivariate logistic regression models should be 10 or greater (Harrell et al. 1985; Peduzzi et al. 1996), with the exception of gender and age which were included in all models, we excluded the explanatory variables whose univariate p values were greater than 0.250; thereafter, we also performed further selection of variables. Multicollinearity was evaluated by variance–covariance matrix. Thiamet G Multivariate logistic regression analysis was conducted with a backward elimination procedure at the p = 0.10 significance level for removal from the model or a forward entry procedure based on maximum likelihood ratio. Adjusted OR and its 95% confidence interval (95% CI) were calculated. Goodness of fit was assessed by the Hosmer–Lemeshow test. The level of statistical significance was set at 0.05 for all calculations. The statistical software package SPSS version 16.0 J for Windows (SPSS Inc., Chicago, IL, USA) was used to perform the analysis. Results Characteristics of respondents Of the 261 respondents, age ranged from 24 to 44 years and mean age ± SD was 30.3 ± 3.5.