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Related Experiment Video

Updated: Jun 25, 2026

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

Sao Paulo Epidemiologic Sleep Study: rationale, design, sampling, and procedures.

Rogerio Santos-Silva¹, Sergio Tufik, Silvia G Conway

¹Discipline of Medicine and Biology of Sleep, Department of Psychobiology, Univ Fed Sao Paulo - UNIFESP, Rua Napoleao de Barros 925, 1o andar, CEP 04024-002, Sao Paulo/SP, Brazil. roger.ss@psicobio.epm.br

|February 24, 2009

Summary

This study profiled sleep disorders in Sao Paulo adults using questionnaires and polysomnography (PSG). Findings will inform public health strategies for sleep disturbances in urban populations.

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Human Circadian Phenotyping and Diurnal Performance Testing in the Real World

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Last Updated: Jun 25, 2026

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

Human Circadian Phenotyping and Diurnal Performance Testing in the Real World

Human Circadian Phenotyping and Diurnal Performance Testing in the Real World

Published on: April 7, 2020

Area of Science:

Epidemiology
Sleep Medicine
Public Health

Background:

Sleep disorders represent a significant public health concern in urban populations.
Understanding the epidemiologic profile of sleep disturbances is crucial for targeted interventions.

Purpose of the Study:

To detail the design, sampling, and procedures of the Sao Paulo Epidemiologic Sleep Study.
To establish the epidemiologic profile of sleep disorders in the adult population of Sao Paulo, Brazil.

Main Methods:

A probabilistic three-stage cluster sample of Sao Paulo adults (aged 20-80) was employed.
Data collection included questionnaires, actigraphy, polysomnography (PSG), and blood samples.
Investigated associations between sleep patterns and various demographic, lifestyle, and health indicators.

Main Results:

1101 questionnaires were administered, with 1042 participants undergoing polysomnography.
A refusal rate of 5.4% was recorded for polysomnography.
The sample represented the Sao Paulo population by gender, age, and socioeconomic class.

Conclusions:

The Sao Paulo Sleep Study is a pioneering effort in large-scale sleep disorder research.
The study integrates advanced methodologies for comprehensive sleep profiling.
Results will guide health policy and program development for sleep disorders in urban settings.