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Analysis of the interrelationships between factors influencing blood pressure in adults

Authors
  • Freire, Rafael Silveira1
  • Reis, Vivianne Margareth Chaves Pereira2
  • Brito, Alexandre Botelho3
  • Brito, Maria Fernanda Santos Figueiredo4
  • de Pinho, Lucinéia4
  • Silva, Rosângela Ramos Veloso2
  • Silveira, Marise Fagundes5
  • 1 Faculdades Unidas do Norte de Minas . Instituto de Ciências da Saúde . Montes Claros , MG , Brasil, Montes Claros MG , (Brazil)
  • 2 Universidade Estadual de Montes Claros . Departamento de Educação Física . Montes Claros , MG , Brasil, Montes Claros MG , (Brazil)
  • 3 Instituto Federal do Norte de Minas Gerais . Departamento de Matemática . Montes Claros , MG , Brasil, Montes Claros MG , (Brazil)
  • 4 Universidade Estadual de Montes Claros . Programa de Pós-Graduação em Cuidado Primário em Saúde . Montes Claros , MG , Brasil, Montes Claros MG , (Brazil)
  • 5 Universidade Estadual de Montes Claros . Programa de Pós-Graduação em Ciências da Saúde . Montes Claros , MG , Brasil, Montes Claros MG , (Brazil)
Type
Published Article
Journal
Revista de Saúde Pública
Publisher
Universidade de Sao Paulo Sistema Integrado de Bibliotecas - SIBiUSP
Publication Date
Dec 04, 2020
Volume
54
Identifiers
DOI: 10.11606/s1518-8787.2020054002123
PMID: 33331490
PMCID: PMC7726937
Source
PubMed Central
Keywords
License
Green

Abstract

OBJECTIVE To investigate the interrelationships between sociodemographic, behavioral and clinical factors associated with high blood pressure in a population of Brazilian adults. METHODS Data from a cross-sectional population-based study conducted with adults were used. In the hypothetical model developed socioeconomic status, fruit and vegetable intake, adiposity and blood pressure were treated as latent variables and age, gender, glycemia, physical activity, smoking, alcohol consumption and control of arterial hypertension were considered observed variables. Confirmatory factorial analysis was used to construct the latent variables measurement models and the structural equation modeling was used to adjust the final model. RESULTS The study included 808 individuals, with mean age of 44.2 years (± 17.8), 52.7% being female. It verified that age exerted a positive direct effect on blood pressure (β = 0.39), adiposity (β = 0.44), glycemia (β = 0.26) and smoking (β = 0.30). Age had a negative direct effect on physical activity (β=-0.17) and alcohol consumption (β = -0.10). Males were positively associated with blood pressure (β = 0.13), smoking (β = 0.28; p < 0.001) and alcohol consumption (β = 0.18). Adiposity had a positive direct effect on blood pressure (β = 0.23) and glycemia (β = 0.16) and alcohol consumption produced a positive effect (β = 0.09) on adiposity. Fruit and vegetable intake had a negative direct effect on blood pressure (β = -0.11), while socioeconomic status had a positive direct effect on fruit and vegetable consumption (β = 0.47). We adjusted the structural model according to the variable medical control of arterial hypertension, which had a negative direct effect on blood pressure (β = -0.10). CONCLUSIONS Results suggest that increasing age is associated with increased blood pressure, adiposity, glycemia and smoking, as well as with reduced physical activity and alcohol consumption. Males were associated with increased blood pressure and greater use of alcohol and cigarettes. Higher adiposity indicators were correlated with increased blood pressure and glycemic levels; higher alcohol consumption was associated with increased adiposity. Higher consumption of fruits and vegetables, as well as active control of hypertension were associated with reduced blood pressure. Better socioeconomic status was associated with higher consumption of fruits and vegetables.

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