Dubé et al. BMC Public Health 2011, 11:128 http://www.biomedcentral.com/1471-2458/11/128 Page 7 of 9 Figure 1 Correlations’ graph between variables and the first and second principal components. Total percentage of the variability explained by first and second principal components was 13.6%. Variables almost uncorrelated with first and second principal components aren’t represented on the graph, except subset variable (S). The variables: B, C, F, G, J contributed more to first and second principal components than others. - J: Respondent’s intention to recommend A(H1N1) pandemic vaccine to their patients - G: “Belief that A(H1N1) vaccine will be effective” - F: “Belief that A(H1N1) vaccine will be safe” - C: “Belief that A(H1N1) pandemic influenza is a serious disease” - B: “Belief that seasonal influenza vaccines are very useful to protect children health” All variables, including variables almost uncorrelated with first and second principal component, are listed in an additional file (see Additional File 1). paediatricians to severe cases of A(H1N1) disease, as observed in our results, may also have enhanced paedia- tricians’ acceptability of A(H1N1) pandemic vaccine. In logistic regression analysis, paediatricians’ intention to get vaccinated against A(H1N1) pandemic influenza themselves was the most significant factor associated with the intention to recommend A(H1N1) pandemic vaccine to patients. Results obtained by the multiple correspondence analysis (MCA) are consistent with results from the logistic regression analysis. The nega- tive levels were also more discriminatory than the posi- tive ones. This is consistent with results of previous studies that have shown that knowledge and behaviors regarding seasonal influenza influenced A(H1N1) vacci- nation status: individuals who were not vaccinated against seasonal influenza were less likely to have the