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Dataset Information

An approach to revealing clinically relevant subgroups across the mood spectrum.


ABSTRACT:

Background

Individuals diagnosed with bipolar 1 disorder (BP1), bipolar 2 disorder (BP2), or major depressive disorder (MDD) experience varying levels of depressive and (hypo)manic symptoms. Clarifying symptom heterogeneity is meaningful, as even subthreshold symptoms may impact quality of life and treatment outcome. The MOODS Lifetime self-report instrument was designed to capture the full range of depressive and (hypo)manic characteristics.

Methods

This study applied clustering methods to 347 currently depressed adults with MDD, BP2, or BP1 to reveal naturally occurring MOODS subgroups. Subgroups were then compared on baseline clinical and demographic characteristics and as well as depressive and (hypo)manic symptoms over twenty weeks of treatment.

Results

Four subg

SUBMITTER: Wallace ML 

PROVIDER: S-EPMC5066164 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature