Which actigraphic variables optimally characterize the sleep‐wake cycle of individuals with bipolar disorders?

The combined model of sleep and activity parameters correctly classified 75% of euthymic individuals with bipolar disorder.

• Combined sleep and activity measures enhance the ability to differentiate euthymic bipolar disorder cases from healthy controls.
• The sleep models based on mean values classified 87% of healthy controls correctly.
• The area under the curve for the combined model was 0.86, indicating strong classification performance.
• Age was linked to misclassification risks among healthy controls.
• A diagnosis of bipolar disorder type II was associated with a higher risk of misclassification among cases.

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