Summary: New research indicates that sleeping nine hours or more per night may be linked to poorer cognitive performance, particularly among people experiencing depressive symptoms. An analysis of nearly 1,900 dementia- and stroke-free adults in the Framingham Heart Study found that long sleep duration correlated with lower scores in overall cognition and in specific domains such as memory, visuospatial ability, and executive function. These associations were most pronounced in participants reporting depressive symptoms, whether or not they were taking antidepressant medication.
The findings suggest sleep duration is a potentially modifiable risk factor for cognitive decline and that sleep recommendations may need to be tailored to an individual’s mental health status. The study was led by investigators at The University of Texas Health Science Center at San Antonio (UT Health San Antonio) and published in Alzheimer’s & Dementia.
Key facts
- Long sleep linked to poorer cognition: Sleeping more than nine hours nightly was associated with worse global cognitive performance and with impairments in memory, visuospatial skills, and executive functioning.
- Depression amplifies the effect: Associations were strongest among participants who reported depressive symptoms, regardless of antidepressant use. Participants using antidepressants without depressive symptoms did not show significant cognitive associations with long sleep.
- Modifiable risk factor: Because sleep duration can be adjusted, these results highlight an actionable target for strategies aimed at protecting brain health—especially in people with depression.
Researchers examined 1,853 participants from the Framingham Heart Study who were free of dementia and stroke. Participants ranged in age from 27 to 85 years, with a mean age of 49.8 years. The investigators categorized individuals into four groups: (1) no depressive symptoms and no antidepressant use; (2) depressive symptoms without antidepressant use; (3) antidepressant use without depressive symptoms; and (4) depressive symptoms with antidepressant use. Cognitive performance was measured across multiple domains to assess both global cognition and specific abilities.

Overall, long sleep duration was linked to reduced cognitive scores (β = −0.25 ± 0.07, p < 0.001). The effect was markedly larger among those reporting depressive symptoms: participants with depressive symptoms not using antidepressants showed a significant decline in cognition (β = −0.60 ± 0.26, p = 0.024), and those with depressive symptoms who were using antidepressants showed an even greater association (β = −0.74 ± 0.30, p = 0.017). A smaller but still significant association was present in participants without depressive symptoms (β = −0.18 ± 0.09, p = 0.044). No significant associations were detected in participants who were taking antidepressants but did not report depressive symptoms.
Sleep, depression, and brain health
Sleep plays a central role in brain health across the lifespan. Disruptions in sleep duration and patterns are common in normal aging and in pathological conditions, and they are linked to worse cognitive outcomes and increased risk for Alzheimer’s disease. The Global Council on Brain Health recommends that most adults aim for 7 to 8 hours of sleep per night to support cognitive functioning. Prior studies have identified both excessive and insufficient sleep as potential contributors to impairments in memory, attention, and higher-order thinking—areas often categorized as executive function.
Depression is a well-established, modifiable risk factor for cognitive decline and frequently co-occurs with sleep disturbances. The current study adds evidence that depressive symptoms can amplify the negative cognitive associations of long sleep duration. About nine in ten people with depression report sleep problems, emphasizing how common and important the sleep–depression link is for cognition.
Given these cross-sectional findings, the authors emphasize the need for future longitudinal, multi-modal research to clarify the temporal relationships and underlying mechanisms. Longitudinal studies would help determine whether long sleep leads to cognitive decline, whether cognitive changes alter sleep patterns, or whether shared biological or behavioral factors drive both.
About this sleep and cognition research news
Author: Steven Lee
Source: UT San Antonio
Contact: Steven Lee – UT San Antonio
Image: The image is credited to Neuroscience News
Original research (open access): “Long sleep duration, cognitive performance, and the moderating role of depression: A cross-sectional analysis in the Framingham Heart Study” by Vanessa Young et al., published in Alzheimer’s & Dementia.
Abstract
Long sleep duration, cognitive performance, and the moderating role of depression: A cross-sectional analysis in the Framingham Heart Study
INTRODUCTION
This study examined whether depressive symptoms alter the relationship between sleep duration and cognitive performance in a community-based sample of adults free from stroke and dementia.
METHODS
The analysis included 1,853 participants (mean age 49.8 years, range 27–85; 42.7% male) from the Framingham Heart Study. Participants were grouped by depressive symptoms and antidepressant use and evaluated for associations between sleep duration and cognition.
RESULTS
Long sleep was associated with reduced overall cognitive function (β = −0.25 ± 0.07, p < 0.001). The largest effects were observed in those with depressive symptoms who were using antidepressants (β = −0.74 ± 0.30, p = 0.017) and in those with depressive symptoms not using antidepressants (β = −0.60 ± 0.26, p = 0.024). Smaller effects were seen in participants without depressive symptoms (β = −0.18 ± 0.09, p = 0.044). No significant associations were observed among participants using antidepressants without depressive symptoms.
DISCUSSION
The relationship between sleep duration and cognitive performance appears strongest in individuals with depressive symptoms, independent of antidepressant use. The authors call for longitudinal, large-scale studies using multi-modal methods to clarify causality and underlying mechanisms.