title: Prevalence and correlates of periodic limb movements in older women.
abstract: OBJECTIVE
  Periodic limb movements of sleep (PLMS) are common in the elderly. However, no large polysomnographic study has closely examined the relationship of PLMS to sleep architecture and arousals from sleep. We investigated the prevalence and correlates of PLMS in a community-based sample of older women.
  
  
  METHODS
  Observational study, cross-sectional analyses.
  
  
  METHODS
  Two clinical sites participating in the Study of Osteoporotic Fractures (SOF).
  
  
  METHODS
  455 older community-dwelling women (mean age 82.9 years) who completed in-home polysomnography at SOF visit 8.
  
  
  METHODS
  N/A.
  
  
  RESULTS
  In-home 12 channel polysomnography was performed with measurement of leg movements by bilateral piezo sensors. Measures of PLMS included the number of leg movements per hour of sleep (PLMI) and the number of leg movements causing EEG-documented arousals per hour of sleep (PLMA). An elevated PLMI was common, with 66% showing PLMI > or =5 and 52% showing PLMI > or =15. A PLMA > or =5 and > or =15 were observed in 124 (27%) and 26 (6%) participants respectively. After adjustment for the potential confounders of antidepressant medication use, age, race, body mass index, and apnea-hypopnea index, participants with a higher PLMA had a significantly higher arousal index, lower sleep efficiency, higher percentages of sleep stages 1 and 2 and lower percentages of stages 3-4 and REM (p < .001). An increased PLMI was associated with a higher arousal index, but not with other indices of sleep quality. Neither PLMI or PMLA was associated with subjective sleepiness or other known comorbidities.
  
  
  CONCLUSIONS
  Periodic leg movements are very common in older community-dwelling women. PLMS which were associated with EEG arousals had a strong and consistent association with markers of disturbed sleep. PLMS associated with arousals thus appear to be more clinically relevant and should be considered when examining health outcomes associated with PLMS.
authors.affiliation: University of California, San Francisco, San Francisco, CA, USA. david.claman@ucsf.edu
authors.forename: David M
authors.initials: DM
authors.lastname: Claman
authors.forename: Susan
authors.initials: S
authors.lastname: Redline
authors.forename: Terri
authors.initials: T
authors.lastname: Blackwell
authors.forename: Sonia
authors.initials: S
authors.lastname: Ancoli-Israel
authors.forename: Susan
authors.initials: S
authors.lastname: Surovec
authors.forename: Nancy
authors.initials: N
authors.lastname: Scott
authors.forename: Jane A
authors.initials: JA
authors.lastname: Cauley
authors.forename: Kristine E
authors.initials: KE
authors.lastname: Ensrud
authors.forename: Katie L
authors.initials: KL
authors.lastname: Stone
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D003072:Cognition Disorders / Q000175:diagnosis / Q000453:epidemiology; D003430:Cross-Sectional Studies; D003863:Depression / Q000175:diagnosis / Q000453:epidemiology / Q000523:psychology; D004569:Electroencephalography; D004585:Electrooculography; D005260:Female; D006801:Humans; D009483:Neuropsychological Tests; D020189:Nocturnal Myoclonus Syndrome / Q000175:diagnosis / Q000453:epidemiology*; D017286:Polysomnography; D015995:Prevalence; D012720:Severity of Illness Index; D011795:Surveys and Questionnaires