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Updated: Jun 2, 2026

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Association Between Sleep Quality and Cognitive Symptoms in Patients with Major Depressive Disorder
Published on: April 26, 2024
Bidirectional associations between insomnia symptoms and depression: a prospective cohort study
Shuomin Wang1, Mengting Dai2, Qianyuan Li3
1School of Nursing, The University of Hong Kong, Hong Kong, China.
Social Psychiatry and Psychiatric Epidemiology
|June 1, 2026
Summary
Difficulty initiating sleep (DIS) in older adults predicts future depression, while difficulty maintaining sleep (DMS) does not. Depression also predicts future DIS, highlighting distinct pathways between sleep issues and mental health.
Area of Science:
- Gerontology
- Sleep Medicine
- Psychiatry
Background:
- Insomnia and depression are common in older adults, with a known bidirectional link.
- Insomnia presents as difficulty initiating sleep (DIS) or difficulty maintaining sleep (DMS).
- The differential impact of DIS versus DMS on depression in older adults remains unclear.
Purpose of the Study:
- To investigate the association between insomnia symptoms (DIS and DMS) and depressive symptoms in older adults.
- To explore whether DIS and DMS have different relationships with depression over time.
Main Methods:
- Analysis of data from 3,377 community-dwelling older adults surveyed over five waves (2011-2015).
- Assessment of depressive symptoms using the Patient Health Questionnaire-2.
- Examination of concurrent and lagged associations between self-reported DIS, DMS, and depressive symptoms using generalized estimating equation models.
Main Results:
- Both DIS and DMS were concurrently linked to depressive symptoms.
- Longitudinally, DIS predicted future depressive symptoms, but DMS did not.
- Depressive symptoms predicted future DIS, but not future DMS.
Conclusions:
- Specific insomnia symptoms have distinct relationships with depression in older adults.
- Difficulty initiating sleep demonstrates a consistent bidirectional association with depressive symptoms.
- Understanding these nuanced connections can inform targeted interventions for sleep and depression in the elderly.
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