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Updated: Jun 22, 2025

Noninvasive, High-throughput Determination of Sleep Duration in Rodents
Published on: April 18, 2018
Psoriasis and Sleep Disturbance: A US Population-Based Study Using the NHANES Database
Payton Smith1, Joy Q Jin2,3, Riley K Spencer2
1Department of Dermatology, University of California at San Francisco, 2340 Sutter St., Box 0808, Floor 04, Room N426, San Francisco, CA, 94115, USA. payton.smith@ucsf.edu.
Introduction:
Psoriasis, a chronic inflammatory skin condition, affects approximately 3.0% of the US population, with patients often experiencing significant sleep disturbances. These disturbances include a higher prevalence of conditions such as obstructive sleep apnea, restless leg syndrome, and insomnia. Given the additional risks for cardiovascular disease, metabolic disorders, and depression linked to both poor sleep and psoriasis, addressing sleep issues in this patient group is critical.
Methods:
The study utilized National Health and Nutrition Examination Survey (NHANES) data, focusing on individuals aged ≥ 20 years who provided information on psoriasis status and sleep. Multistage stratified survey methodology was applied, with multivariable logistic regression models used to examine the association between psoriasis and sleep issues, adjusting for factors such as age, gender, and health history.
Results:
Psoriasis diagnosis was significantly associated with trouble sleeping (adjusted odds ratio [aOR] 1.88; 95% confidence interval [CI] 1.44-2.45). There was no significant association between psoriasis and sleep quantity. Older age, female gender, and a history of sleep disorders were predictors of trouble sleeping among psoriasis patients.
Conclusions:
Psoriasis is significantly associated with sleep disturbances, independent of sleep duration. This underscores the need for clinical screening focusing on sleep quality rather than quantity in psoriasis patients to effectively identify and treat sleep-related comorbidities. Further research using objective sleep measures is warranted to guide clinical management and improve patient quality of life.
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