Congresso Brasileiro do Sono

Dados do Trabalho


Título

Evaluation of Sleep Architecture in extended families in a Brazilian population: The Baependi Heart Study

Introdução

Sleep traits are gaining increasing recognition as indicators of health, and impaired sleep is associated with increased risk of cardiovascular and metabolic disease. Therefore, we have initiated a project which adds polysomnography (PSG) to an existing cohort study, the Baependi Heart Study. The aims of this project are to examine associations between sleep architecture, particularly slow-wave sleep, and cardiometabolic disease risk.

Objetivo

In this project, we will collect data on 2,000 participants of a family-based study in semi-rural Brazilian population. We are conducting unattended, in-home PSG recordings, and assessing cardiovascular and metabolic risk. Sex and age differences in these measures will also be investigated. Here, we present preliminary PSG results.

Métodos

All current participants in the Baependi Heart Study will be invited to participate in our ancillary sleep study. PSG is recorded using a type 1 ambulatory device (Track-It, Nihon Kohden). PSG was staged using standard criteria. Sleep traits were analyzed for the full sample and stratified by sex and by age (<50 vs >=50 years) excluding those with sleep<4 hours.

Resultados

Preliminary results comprised PSG data from 98 participants (64 women), with an average age of 44 (±15) years (42%>=50). For the full sample, mean (SD) of total recording and sleep time were 8.4 (±1.3) hours and 6.3 (±0.9) hours, respectively. Means (SD) for sleep stage percentages were: wake=22.6 (±12.8) %; N2=51.1 (±8.4) %; N3=15.4 (±5.9) %; REM=23.2 (±7.5) %. Women slept on average 6.4 (±0.9) hours, whilst men averaged 6.1 (±0.9) (p=.13). Sleep stage percentages for men|women were the following: wake=22.4|22.7; N2=50.5|51.4; N3=13.9|16.2; REM=22.7|23.4. The younger group slept an average of 6.5 (±1.0) hours, while the older group slept 6.1 (±0.9) hours on average (p=.045). Sleep stage percentages for young|old: wake=19.5|26.9; N2=50.3|52.1; N3=16.0|14.7; REM=24.6|21.1). These measures did not differ significantly between sexes, but wake and REM percentages were significantly different between age groups (p<.05).

Conclusões

We have demonstrated that in-home unattended PSG is a feasible method of sleep measurement in Baependi, Brazil.

Palavras-chave

Sleep architecture, slow wave sleep, epidemiology, gender, aging

Área

Área Básica

Autores

Tâmara Pessanha Taporoski, Felipe Beijamini, Francieli Silva Ruiz, Andrea Roseli Vançan Russo Horimoto, Luz Marina Gómez Gómez, Malcolm von Schantz, Alexandre Costa Pereira, Kristen Lynn Knutson