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