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Sleep and Vigilance

, Volume 2, Issue 2, pp 167–172 | Cite as

Epidemiological Qualitative Profiles Associated with Obstructive Sleep Apnea Syndrome in a Population-Based Sample

  • Gabriel Natan PiresEmail author
  • Lia Bittencourt
  • Sergio Tufik
  • Monica Levy Andersen
Original Article
  • 77 Downloads

Abstract

The applicability of sleep medicine into public health policies depends on epidemiological and population-based surveys. The present study aimed to analyze a population-based sample to provide qualitative epidemiological profiles related to obstructive sleep apnea syndrome, by means of a correspondence analysis. The São Paulo Epidemiological Sleep Study (EPISONO) dataset was used and variables related to the obstructive sleep apnea syndrome diagnosis, gender, age, self-reported ethnicity, and body mass index (BMI) were extracted to allow comparisons. Two distinct profiles were identified: (1) non-apneic adults were younger, non-obese, and presented Mulatto or Asian self-reported ethnicity; and (2) apneic individuals (regardless of the severity of the disease) were older adults, obese, and did not display any association with any specific self-reported ethnicity. The current analysis is pioneer on the use of correspondence analysis on sleep medicine.

Keywords

Sleep Anacor Correspondence analysis Sleep apnea 

Notes

Acknowledgements

Funding for this study was provided by Associação Fundo de Incentivo à Pesquisa (AFIP), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP).

Compliance with Ethical Standards

Conflict of interest

The authors have no conflict of interests to disclose.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Gabriel Natan Pires
    • 1
    • 2
    Email author
  • Lia Bittencourt
    • 1
  • Sergio Tufik
    • 1
  • Monica Levy Andersen
    • 1
  1. 1.Department of PsychobiologyUniversidade Federal de São PauloSão PauloBrazil
  2. 2.Department of Physiological SciencesSanta Casa de São Paulo School of Medical SciencesSão PauloBrazil

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