Sources of variability in epidemiological studies of sleep using repeated nights of in-home polysomnography: SWAN Sleep Study.

Huiyong Zheng, MaryFran Sowers, Daniel J Buysse, Flavia Consens, Howard M Kravitz, Karen A Matthews, Jane F Owens, Ellen B Gold, Martica Hall
Author Information
  1. Huiyong Zheng: Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA. zhenghy@umich.edu

Abstract

STUDY OBJECTIVE: To quantify sources of night-to-night variability.
METHODS: This project was conducted in 285 middle-aged African American, Caucasian, and Chinese women from the Study of Women's Health Across the Nation (SWAN) Sleep Study living in Chicago, the Detroit area, Oakland, and Pittsburgh. The study used 3 repeated nights of in-home polysomnography (PSG) measures. Night 1 data included assessment of sleep staging, sleep apnea, and periodic limb movements, while Nights 2 and 3 focused on sleep staging.
RESULTS: Mean total sleep time (TST) increased substantially from 365 minutes on Night 1 to 391 minutes and 380 minutes, respectively, on Nights 2 and 3. Mean percent sleep efficiency (SE%) for the 3 nights were 83%, 85%, and 85%, respectively. Night 1 sleep values were significantly different than Nights 2 and 3 measures except for S2 (%), S1 (min), and Delta (S3+4)%. Nights 2 and 3 differences in variability were negligible. Obesity, past smoking, and financial strain measures were associated with greater Night 1 vs. Night 2 or Night 3 differences. We concluded that there was significant Night 1 vs. Nights 2 and 3 variability and, though relatively modest, it was sufficient to bias estimates of association. Additionally, personal characteristics including smoking, obesity, and financial strain increased night-to-night variability.
CONCLUSIONS: This reports adds new information about between and within person sources of variation with in-home PSG and identifies elements that are essential in the design and planning of future sleep studies of multi-ethnic groups in social and physiological transition states such as the menopause.

Keywords

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Grants

  1. UL1 RR024153/NCRR NIH HHS
  2. AG019363/NIA NIH HHS
  3. R01 AG019361/NIA NIH HHS
  4. AG012554/NIA NIH HHS
  5. AG012539/NIA NIH HHS
  6. AG17104/NIA NIH HHS
  7. AG012531/NIA NIH HHS
  8. U01 AG012495/NIA NIH HHS
  9. U01 AG012505/NIA NIH HHS
  10. RR024153/NCRR NIH HHS
  11. AG012535/NIA NIH HHS
  12. AG012546/NIA NIH HHS
  13. AG017719/NIA NIH HHS
  14. AG012553/NIA NIH HHS
  15. NR004061/NINR NIH HHS
  16. U01 AG012554/NIA NIH HHS
  17. AG019362/NIA NIH HHS
  18. R01 AG019362/NIA NIH HHS
  19. U01 AG012535/NIA NIH HHS
  20. U01 AG012553/NIA NIH HHS
  21. U01 NR004061/NINR NIH HHS
  22. U01 AG012539/NIA NIH HHS
  23. AG012495/NIA NIH HHS
  24. AG019361/NIA NIH HHS
  25. U01 AG012546/NIA NIH HHS
  26. R01 AG017104/NIA NIH HHS
  27. U01 AG012531/NIA NIH HHS
  28. R01 AG019363/NIA NIH HHS
  29. U01 AG017719/NIA NIH HHS
  30. AG012505/NIA NIH HHS
  31. AG019360/NIA NIH HHS
  32. R01 AG019360/NIA NIH HHS

MeSH Term

Cross-Sectional Studies
Female
Home Care Services
Humans
Middle Aged
Polysomnography
Sleep
Sleep Apnea Syndromes
Sleep Stages
Time Factors

Word Cloud

Created with Highcharts 10.0.0sleep3Nightvariability21NightsPSGStudynightsin-homemeasuresminutessourcesnight-to-nightSWANSleeprepeatedstagingMeanincreasedrespectively85%%differencessmokingfinancialstrainvsstudiesSTUDYOBJECTIVE:quantifyMETHODS:projectconducted285middle-agedAfricanAmericanCaucasianChinesewomenWomen'sHealthAcrossNationlivingChicagoDetroitareaOaklandPittsburghstudyusedpolysomnographydataincludedassessmentapneaperiodiclimbmovementsfocusedRESULTS:totaltimeTSTsubstantially365391380percentefficiencySE%83%valuessignificantlydifferentexceptS2S1minDeltaS3+4negligibleObesitypastassociatedgreaterconcludedsignificantthoughrelativelymodestsufficientbiasestimatesassociationAdditionallypersonalcharacteristicsincludingobesityCONCLUSIONS:reportsaddsnewinformationwithinpersonvariationidentifieselementsessentialdesignplanningfuturemulti-ethnicgroupssocialphysiologicaltransitionstatesmenopauseSourcesepidemiologicalusingpolysomnography:In-homePolysomnographyfirstnighteffectFNEbehaviorsmethods

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