4.6 Article

Polysomnographic and Health-related Quality of Life Correlates of Restless Legs Syndrome in the Sleep Heart Health Study

Journal

SLEEP
Volume 32, Issue 6, Pages 772-778

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/sleep/32.6.772

Keywords

Restless legs syndrome; quality of life; community based sample; sleep latency; polysomnography

Funding

  1. National Heart, Lung and Blood Institute Cooperative [U01 HL53940]
  2. University of Washington [U01 HL53941]
  3. Boston University [U01 HL53938]
  4. Cooperative Agreement Supplement [HL53938-07S1]
  5. University of Arizona [U01 HL53916]
  6. University of California, Davis [U01 HL53934]
  7. University of Minnesota [01 HL53931]
  8. New York University [U01 HL53937, U01 HL64360]
  9. Johns Hopkins University [U01 HL63463]
  10. Case Western Reserve University [U01 HL63429]
  11. Missouri Breaks Research
  12. Stanford University [R01 HL71515]
  13. NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [U01HL053931, U01HL053937, U01HL053938, U01HL053934, U01HL064360, U01HL063429, U01HL053916, U01HL063463, R01HL071515, U01HL053940, U01HL053941] Funding Source: NIH RePORTER

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Study Objectives: Sleep disturbance is the primary clinical morbidity of restless legs syndrome (RLS). To date, sleep disturbance in RLS has been measured in (1) clinical samples with polysomnography (PSG) or (2) population-based samples by self-report. The objective of this study was to analyze sleep by PSG in a population-based sample with symptoms of RLS. Design: Cross-sectional observational study Setting: Community-based Participants: 3433 older men and women Interventions: None Measurements and Results: RLS was evaluated using an 8-item self-administered questionnaire based on NIH diagnostic criteria and required symptoms occurring >= five times per month and associated with at least moderate distress. Health-related quality of life (HRQOL) was determined using the SF-36. Unattended, in-home PSG was performed. Data were assessed using general linear models with adjustment for demographic, health-related variables, and apnea-hypopnea index (AHI). Subjects with RLS had longer adjusted mean sleep latency (39.8 vs 26.4 min, P < 0.0001) and higher arousal index (20.1 vs 18.0, P = 0.0145) than those without RLS. Sleep latency increased progressively as the frequency of RLS symptoms increased from 5-15 days per month to 6-7 days per week. No differences in sleep stage percentages were observed between participants with and without RLS. Subjects with RLS also reported poorer HRQOL in all physical domains as well as in the Mental Health and Vitality domains. Conclusions: These novel PSG data from a nonclinical, community-based sample of individuals with RLS document sleep disturbance in the home even in individuals with intermittent symptoms.

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