The association between mood and @entity148 with XXXX and risk factors in a nationally representative sample.

@entity1 @entity162 @entity455 @entity308 @entity64 @entity6 @entity146 @entity101 @entity28 @entity532 @entity1316 @entity148 @entity299
OBJECTIVE: To investigate the association between mood and @entity148 and @entity455 after controlling for @entity455 risk factors. METHODS: Using a nationally representative sample of adults (N=5692) from the National Comorbidity Survey-Replication (NCS-R), @entity1 with @entity1316 were hierarchically classified as having any lifetime history of @entity162 , hypomania, or major @entity308 . @entity148 were also assessed. The reference group consisted of those without @entity146 . @entity455 was determined by self-reported history of @entity299 , @entity299 , or @entity64 on the NCS-R survey. Vascular risk factors included @entity6 , @entity101 , and @entity28 . RESULTS: In multivariate logistic regression models that controlled for @entity28 , @entity101 , smoking and @entity532 was associated with @entity162 in @entity1 [odds ratio (OR) 2.80, 95% confidence interval (CI) 1.63-4.80], and major @entity308 in @entity1 (OR 1.85, 95% CI 1.17-2.92). Controlling for @entity148 reduced the associations in both @entity1 and @entity1 , and in fact, @entity148 were more strongly associated with @entity455 in @entity1 , whereas @entity162 continued to be an important correlate of @entity455 in @entity1 . CONCLUSION: These findings demonstrate the importance of evaluation of sex differences, @entity1316 subtype and co-occurring @entity148 in assessing the association between @entity1316 and @entity455 . Future research should investigate potential biologic mechanisms for these associations in order to define potential targets for intervention.
