Association between age of onset and mood in bipolar disorder: comparison of subgroups identified by cluster analysis and clinical observation
Rasgon, Natalie L.
Marsh, Wendy K.
Munoz, Rodrigo A.
Whybrow, Peter C.
UMass Chan AffiliationsDepartment of Psychiatry
Document TypeJournal Article
Age of Onset
Diagnostic and Statistical Manual of Mental Disorders
Mental and Social Health
Psychiatry and Psychology
MetadataShow full item record
AbstractBACKGROUND: This study compared subgroups identified by cluster analysis and clinical observation by evaluating the association between the age of onset of bipolar disorder and self-reported daily mood ratings. METHODS: Two hundred and seventy patients with bipolar disorder provided daily self-reported mood ratings for about 6 months returning 55,188 days of data. The age of onset subgroups were determined both using previously defined cutoff values based upon clinical observation (29 years), and model-based cluster analysis. Demographic characteristics were compared in the age of onset subgroups. Univariate general linear models with age of onset subgroups and other demographic variables as fixed factors and covariates were used to analyze the percent of days depressed, euthymic and hypomanic/manic. RESULTS: Using the predetermined subgroups, demographic differences were found between the four subgroups in the diagnosis of bipolar I/II, years of illness, age and use of lamotrigine. Post-hoc pairwise comparison found that patients with an age of onset less CONCLUSION: Age of onset subgroups arising from clinical observation may be more useful than those determined by cluster analysis.
SourceJ Psychiatr Res. 2010 Dec;44(16):1170-5. doi: 10.1016/j.jpsychires.2010.04.009. Link to article on publisher's site
Permanent Link to this Itemhttp://hdl.handle.net/20.500.14038/46064
Related ResourcesLink to Article in PubMed