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Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression
Published on: April 26, 2024
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24-Hour Rest-Activity Rhythm in Middle-Aged and Older Persons with Depression.
Masaki Hayashi1, Masahiro Takeshima2, Tomoko Hosoya2
1Graduate of School of Health Sciences, Akita University, Akita 010-8543, Japan.
Summary
Depression symptoms in middle-aged and older adults are linked to a more stable 24-hour rest-activity rhythm (RAR) and reduced daytime activity. Wearable devices can help identify these associations.
Area of Science:
- Chronobiology
- Geriatric Psychiatry
- Wearable Technology
Background:
- Clinical observations note altered rest-activity patterns in depression.
- The specific links between depression symptoms and quantifiable 24-hour rest-activity rhythm (RAR) components are not well-established.
- Understanding these links can inform objective assessment of depression.
Purpose of the Study:
- To investigate the association between symptoms of depression and 24-hour RAR components in middle-aged and older adults.
- To identify specific RAR parameters measurable by wearable devices that correlate with depression severity.
Main Methods:
- A cross-sectional study involving 29 individuals with depression and 30 healthy controls.
- Participants wore an Actiwatch Spectrum Plus device for seven days to measure RAR parameters: inter-daily stability (IS), intra-daily variability (IV), relative amplitude (RA), M10, and L5.
- Binomial regression analysis was used to assess associations between depression symptoms and RAR components.
Main Results:
- Symptoms of depression were significantly associated with higher inter-daily stability (IS) (OR, 1.20; 95% CI, 1.01-1.44; p=0.04).
- Depression symptoms were also significantly associated with lower average physical activity during the most active 10-hour span (M10) (OR, 0.85; 95% CI, 0.74-0.96; p=0.01).
Conclusions:
- Findings suggest that a more stable 24-hour rest-activity rhythm and reduced daytime activity are potential objective markers associated with depression in middle-aged and older adults.
- Wearable technology offers a promising avenue for quantifying these rhythm disturbances in depression assessment.
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