An Aggregate Measure of Sleep Health Is Associated With Prevalent and Incident Clinically Significant Depression Symptoms Among Community-Dwelling Older Women
| Autor: | Yoshitaka Kaneita, Makoto Uchiyama, Katie L. Stone, Martica H. Hall, Stephen F. Smagula, Daniel J. Buysse, Ryuji Furihata, Sonia Ancoli-Israel, Jane A. Cauley |
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| Rok vydání: | 2016 |
| Předmět: |
Sleep Wake Disorders
medicine.medical_specialty Health Status Logistic regression 03 medical and health sciences 0302 clinical medicine Surveys and Questionnaires Physiology (medical) Epidemiology Prevalence medicine Humans Longitudinal Studies 030212 general & internal medicine Psychiatry Depression (differential diagnoses) Aged Aged 80 and over Depression business.industry Incidence Odds ratio Sleep in non-human animals Cross-Sectional Studies Cohort Female Original Article Geriatric Depression Scale Independent Living Sleep Stages Neurology (clinical) Sleep onset latency Sleep business 030217 neurology & neurosurgery Follow-Up Studies |
| Zdroj: | Sleep. 40 |
| ISSN: | 1550-9109 0161-8105 |
| Popis: | Objectives Sleep can be characterized along multiple dimensions. We investigated whether an aggregate measure of sleep health was associated with prevalent and incident clinically significant depression symptoms in a cohort of older women. Methods Participants were older women (mean age 80.1 years) who completed baseline (n = 6485) and follow-up (n = 3806) visits, approximately 6 years apart, in the Study of Osteoporotic Fractures (SOF). Self-reported sleep over the past 12 months was categorized as "good" or "poor" across 5 dimensions: satisfaction with sleep duration, daytime sleepiness, mid-sleep time, sleep onset latency, and sleep duration. An aggregate measure of sleep health was calculated by summing the number of "poor" dimensions. Clinically significant depression symptoms were defined as a score ≥6 on the Geriatric Depression Scale. Relationships between sleep health and depression symptoms were evaluated with multivariate logistic regression, adjusting for health measures and medications. Results Individual sleep health dimensions of sleep satisfaction, daytime sleepiness, mid-sleep time, and sleep onset latency were significantly associated with prevalent depression symptoms (odds ratios [OR] = 1.26-2.69). Sleep satisfaction, daytime sleepiness, and sleep onset latency were significantly associated with incident depression symptoms (OR = 1.32-1.79). The number of "poor" sleep health dimensions was associated in a gradient fashion with greater odds of prevalent (OR = 1.62-5.41) and incident (OR = 1.47-3.15) depression symptoms. Conclusion An aggregate, multidimensional measure of sleep health was associated with both prevalent and incident clinically-significant depression symptoms in a gradient fashion. Future studies are warranted to extend these findings in different populations and with different health outcomes. |
| Databáze: | OpenAIRE |
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