Risk factors of XXXX in @entity29 in a tunisian survey. Results of a cross-sectional study.

@entity1 @entity308 @entity31 @entity458 @entity29 @entity148 @entity74
BACKGROUND: Little is known in @entity29 ( @entity29 ) regarding risk factors for @entity458 . The aims of our work were to evaluate the frequency of @entity148 and @entity308 among @entity1 with @entity29 and to determine the factors associated with these @entity74 in Tunisian @entity1 . METHODS: From June 2012 to April 2013, 60 consecutive @entity1 with @entity29 answered a questionnaire about psychological and socioeconomic factors and adherence to treatment. In this study we focused the analysis on the characteristics of @entity29 (type, localization, severity, treatment) and socioeconomic factors (professional, educational, and marital status). @entity148 and @entity308 were assessed by the Hospital @entity148 and @entity308 Scale (HADS). RESULTS: According to the HADS, 25 @entity1 (41.6%) were anxious while 4 (6.6%) were @entity308 . Three had @entity148 and @entity308 at the same time. Twelve @entity1 had a probable @entity148 , 2 @entity1 had a probable @entity308 and 3 @entity1 had a probable @entity308 and @entity148 at the same time. By univariate analysis, factors associated with @entity148 and @entity308 were: female gender (p<0.03), rent (p<0.03), high school graduation (p<0.009), @entity31 (p<0.05). By multivariate analysis, independent factors associated with these emotional disorders were: female gender (p=0.005, OR 11.3), the high school graduation (p=0.004, OR 12.1). CONCLUSION: In our cohort, risk factors for @entity148 and @entity308 were the high school graduation and @entity31 . Consequently, psychological interventions would be useful when these factors are identified.
