Association between visual impairment and sleep duration: Analysis of the 2009 National Health Interview Survey (NHIS)

Alberto R. Ramos, Douglas M. Wallace, Natasha J. Williams, David Warren Spence, Seithikurippu Ratnas Pandi-Perumal, Ferdinand Zizi, Girardin Jean-Louis

Research output: Contribution to journalReview articlepeer-review

10 Scopus citations

Abstract

Background: Visual impairment (VI) is associated with increased mortality and health factors such as depression and cardiovascular disease. Epidemiologic studies consistently show associations between sleep duration with adverse health outcomes, but these have not systematically considered the influence of VI. The aim of this study was to ascertain the independent association between VI and sleep duration using the National Health Interview Survey (NHIS) data. We also examined whether race/ethnicity influenced these associations independently of sociodemographic and medical characteristics. Methods. Our analysis was based on the 2009 NHIS, providing valid sleep and vision data for 29,815 participants. The NHIS is a cross-sectional household interview survey utilizing a multistage area probability design. Trained personnel from the US census bureau gathered data during face-to-face interview and obtained socio-demographic, self-reported habitual sleep duration and physician-diagnosed chronic conditions. Results: The mean age of the sample was 48 years and 56% were female. Short sleep and long sleep durations were reported by 49% and 23% of the participants, respectively. Visual impairment was observed in 10%. Multivariate-adjusted logistic regression models showed significant associations between VI and short sleep (OR = 1.6, 95% CI = 1.5-1.9 and long sleep durations (OR = 1.6, 95% CI = 1.3-1.9). These associations persisted in multivariate models stratified by race-ethnic groups. Conclusion: Visual impairment was associated with both short and long sleep durations. Analysis of epidemiologic sleep data should consider visual impairment as an important factor likely to influence the amount of sleep experienced habitually.

Original languageEnglish (US)
Article number115
JournalBMC ophthalmology
Volume14
Issue number1
DOIs
StatePublished - Oct 1 2014

Keywords

  • Race/ethnicity
  • Sleep Duration
  • Visual Impairment

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