| Title: |
Temporal Dynamics of Sleep During Bright-Light Therapy for Depression and Their Relation to Symptom Improvement. |
| Authors: |
Visser, Emma; Antypa, Niki; Marcelis, Machteld C.; Simons, Claudia J. P.; de Kort, Yvonne A. W. |
| Source: |
Clocks & Sleep; Jun2026, Vol. 8 Issue 2, p30, 24p |
| Subject Terms: |
Mental depression; Sleep quality; Phototherapy; Sleep-wake cycle; Treatment effectiveness; Sleep interruptions; Clinical chronobiology |
| Abstract: |
Sleep disturbance is a central feature of depression and a proposed pathway through which Bright-Light Therapy (BLT) exerts antidepressant effects. However, little is known about how sleep reorganises day by day during BLT or whether these dynamics relate to symptom improvement. We analysed daily sleep diaries from 66 patients with depression undergoing three weeks of BLT in routine outpatient care. Generalised Additive Mixed Models characterised daily trajectories in sleep timing, continuity, duration, and Subjective Sleep Quality, and weekly changes in sleep regularity were assessed using Root Mean Square of the Successive Differences. Structural Equation Modelling examined whether within-person deviations in sleep parameters mediated changes in depressive symptoms. Sleep timing showed gradual adjustment across treatment, with a progressive 48 min advance in weekday sleep onset. Sleep regularity improved from Week 1 to Week 2 before partially reversing, and the probability of nocturnal awakenings followed a non-linear trajectory. Other sleep parameters showed weaker directional trends. Improvements in Subjective Sleep Quality accounted for a modest portion of the association between treatment progression and reductions in depressive symptoms, whereas changes in sleep timing and regularity were not associated with symptom change. These findings indicate that sleep reorganises gradually during outpatient BLT, with different sleep dimensions evolving on distinct timescales and Subjective Sleep Quality emerging as one observable component linked to symptom improvement. More broadly, the results highlight the value of day-to-day modelling for understanding sleep–mood dynamics during real-world chronotherapy. [ABSTRACT FROM AUTHOR] |
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| Database: |
Complementary Index |