[Comorbidity associated to XXXX ].

@entity1 @entity308 @entity322 @entity101 @entity6 @entity66 @entity63 @entity231 @entity25 @entity102 @entity272 @entity2182 @entity1030 @entity717 @entity1142 @entity293 @entity250
OBJECTIVES: To estimate the percentage of @entity1 with @entity2182 ( @entity2182 ) attending urology or gynaecology outpatient clinics who show associated diseases which complicate their clinical state and quality of life. METHODS: This is an epidemiologic, cross-sectional and multicentre real world trial. 1,659 @entity1 with @entity2182 were studied in urology or gynaecology outpatient clinics. Demographic data, anthropometric data, presence of @entity102 ( @entity101 , @entity6 , @entity66 , @entity63 , @entity1030 , cognitive damaged, @entity231 , @entity717 and @entity1142 ), presence of associated diseases (falls, lower @entity293 , genital @entity272 , @entity308 , @entity250 and @entity25 ), presence of @entity322 and impact on quality of life according to ICIQ-UI SF score. RESULTS: Mean age (S.D) of studied sample was 59.2 (12.9) years and 73.6% were female. Most @entity1 lived in urban settings (67.3%), had primary studies or less (56.8%) and had active work or at home work (66.2%). Most frequent diseases associated to @entity2182 , lower @entity293 and @entity25 . @entity250 was more frequent in males than in females; lower @entity293 , genital @entity272 and @entity308 were more frequent in females than in males. @entity1 with these diseases showed higher ICIQ-UI SF scores than @entity1 without them, indicating higher impact. CONCLUSIONS: Presence of associated diseases in @entity1 with @entity2182 is frequent in males and females and it is associated to higher impact in @entity1 's life. It seems relevant to pay attention in detecting them through the medical history of @entity1 consulting about @entity2182 or @entity322 .
