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Sleep disturbances are of great relevance within the context of public health as they affect a sizable portion of the population with far reaching consequences. Many automobile and labor accidents as well as poor school and work performance can be traced to sleep disturbances, which are also linked to cardiovascular disease, metabolic syndrome, and psycho-cognitive alterations.
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METHODS:
The two-stage cluster randomized sample included 1100 individuals of the city of Sao Paulo, representing the population proportionally to gender, age groups and social classes. Data were amassed as follows:
STATISTICS:
Subsequent to double typing (inputting) and analysis of data consistency, descriptive and analytical statistical assessments will be performed with the aim of describing patterns of sleep disturbances associated to the explanatory variables under investigation. In the light of bi-varied analysis, predictive/explanatory multivaried models were adjusted.
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1,100 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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