Author:

• DEBORAH CARVALHO MALTA - Malta, D. C. - <deborah.malta@saude.gov.br, dcmalta@uol.com.br>
ORCID: https://orcid.org/0000-0002-8214-5734

Co-author(s):

• Regina Tomie Ivata Bernal - Bernal, R. T. I. - <reginabernal@terra.com.br>
ORCID: https://orcid.org/0000-0002-7917-3857
• Ana Carolina Micheletti Gomide Nogueira de Sá - Nogueira de Sá, A.C.M.G - <carolmichelettigomide@gmail.com>
ORCID: https://orcid.org/0000-0002-0122-2727
• Tércia Moreira Ribeiro da Silva - Silva, T.M.R. - <tercialud@gmail.com>
ORCID: https://orcid.org/0000-0002-5261-2266
• Betine Pinto Moehlecke Iser - Iser, B.P.M. - Tubarão, SC - <betinee@gmail.com>
ORCID: https://orcid.org/0000-0001-6061-2541
• Bruce Bartholow Duncan - Duncan, B. D. - <bbduncan@ufrgs.br>
ORCID: https://orcid.org/0000-0002-7491-2630
• Maria Inês Schimdt - Schimdt, M. I. - <maria.schimidt@ufrgs.br>
ORCID: https://orcid.org/0000-0002-3837-0731

Abstract:

The study aimed to analyze the prevalence of self-reported diabetes and associated factors in the adult Brazilian population. Cross-sectional study using the 2019 National Health Survey. Prevalence and crude prevalence ratios (PR) and adjusted (PRa) of self-reported diabetes were estimated, with confidence intervals (95%CI), using Poisson regression. In the 82,349 adults, the prevalence of self-reported diabetes was 7.7%. Positively associated factors were: advanced age being higher after 60 years (RPa 24.87; 95%CI 15.78-39.18); living in the Northeast (RPa 1.16; 95%CI 1.04-1.29), Southeast (RPa 1.27; 95%CI 1.14-1.43), South (RPa 1.18; 95%CI 1, 05-1.34) and Midwest (RPa 1.21; 95%CI 1.06-1.38), being a former smoker (RPa 1.17; 95%CI 1.09-1.27), self-assessment of regular health (PRa 2.41; 95%CI 2.21-2.64), poor/very bad (PRa 3.45; 95%CI 3.06-3.88), having heart disease (PRa 1.81; CI95 % 1.64-2.00), hypertension (RPa 2.84; 95%CI 2.60-3.69), high cholesterol (RPa 2.22; 95%CI 2.05-2.41), overweight (RPa 1.49; 95%CI 1.36-1.64) and obesity (RPa 2.25; 95%CI 2.05-2.47). It is concluded that diabetes in Brazilian adults is associated with sociodemographic factors, aging, lifestyles and morbidities. results can public policies for policy prevention and control in Brazil.

Keywords:

Diabetes Mellitus, Risk Factors, Health Surveys, Brazil

Content:

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