Cluster of Physical Inactivity and Other Risk Factors and Diabesity in Quilombol Adults.

Arquivos brasileiros de cardiologia Pub Date : 2024-12-06 eCollection Date: 2024-01-01 DOI:10.36660/abc.20230715
Poliana Pereira Santana, Clarice Alves Dos Santos, Ricardo Franklin de Freitas Mussi, Hector Luiz Rodrigues Munaro, Saulo Vasconcelos Rocha
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Abstract

Background: Diabesity is a condition characterized by the coexistence of type 02 diabetes and obesity. The causes are multifactorial, resulting from a complex interaction of genetic and behavioral factors. Among the behavioral factors, there are physical inactivity, inadequate eating habits and excessive consumption of alcohol and tobacco.

Objective: To investigate the clustering of physical inactivity and other risk factors and the association between risk factor combinations and the presence of diabesity in quilombola adults.

Methods: Cross-sectional study involving a sample of 332 middle-aged and older adults (≥ 50 years) selected among participants in the "Epidemiological Profile of Quilombolas in Bahia" study. Data were collected by interview and anthropometric assessment. Descriptive statistics, cluster analysis, and multinomial logistic regression procedures were used for data analysis.

Results: The highest prevalence of clustering was identified for the combinations of regular alcohol consumption in the absence of the other factors (O/E=14.2; 95%CI 0.87-1.15), followed by regular alcohol and tobacco consumption (O/E=10.3; 95%CI 0.64-0.95) and regular consumption of alcohol, tobacco and foods high in sugar and fat (O/E=6.8; 95%CI= 1.31-1.75). Unadjusted analysis revealed an association between physical inactivity in the absence of the other factors (OR=0.82; 95%CI 0.78-0.86) and diabesity.

Conclusion: Alcohol consumption was the most prevalent factor among the largest combinations evaluated. Furthermore, the presence of physical inactivity without the other behaviors analyzed and the absence of all behaviors were associated with diabesity only in unadjusted analysis.

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