Obstructive Sleep Apnea Syndrome in the Sao Paulo Epidemiologic Sleep Study

Sleep Med. 2010 May;11(5):441-6. doi: 10.1016/j.sleep.2009.10.005. Epub 2010 Apr 1.

Abstract

Objective: To estimate the prevalence of Obstructive Sleep Apnea Syndrome (OSAS), using current clinical and epidemiological techniques, among the adult population of Sao Paulo, Brazil.

Methods: This population-based survey used a probabilistic three-stage cluster sample of Sao Paulo inhabitants to represent the population according to gender, age (20-80 years), and socio-economic status. Face-to-face interviews and in-lab full-night polysomnographies using a nasal cannula were performed. The prevalence of OSAS was determined according to the criteria of the most recent International Classification of Sleep Disorders (ICDS-2) from American Academy of Sleep Medicine (2005).

Results: A total of 1042 volunteers underwent polysomnography (refusal rate=5.4%). The mean age+/-SD was 42+/-14 years; 55% were women and 60% had a body mass index>25 kg/m(2). OSAS was observed in 32.8% of the participants (95% CI, 29.6-36.3). A multivariate logistic regression model identified several independent and strong associations for the presence of OSAS: men had greater association than women (OR=4.1; 95% CI, 2.9-5.8; P<0.001) and obese individuals (OR=10.5; 95% CI, 7.1-15.7; P<0.001) than individuals of normal weight. The adjusted association factor increased with age, reaching OR=34.5 (95% CI, 18.5-64.2; P<0.001) for 60-80 year olds when compared to the 20-29 year old group. Low socio-economic status was a protective factor for men (OR=0.4), but was an associated factor for women (OR=2.4). Self-reported menopause explained this increased association (age adjusted OR=2.1; 95% CI, 1.4-3.9; P<0.001), and it was more frequent in the lowest class (43.1%) than either middle class (26.1%) or upper class (27.8%) women.

Conclusions: This study is the first apnea survey of a large metropolitan area in South America identifying a higher prevalence of OSAS than found in other epidemiological studies. This can be explained by the use of the probabilistic sampling process achieving a very low polysomnography refusal rate, the use of current techniques and clinical criteria, inclusion of older groups, and the higher prevalence of obesity in the studied population.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Age Distribution
  • Aged
  • Aged, 80 and over
  • Body Mass Index
  • Brazil / epidemiology
  • Female
  • Health Surveys
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Obesity / epidemiology*
  • Overweight / epidemiology
  • Polysomnography
  • Prevalence
  • Sex Distribution
  • Sleep Apnea, Obstructive / epidemiology*
  • Urban Population / statistics & numerical data*
  • Young Adult