Analysis of the interrelationships between factors influencing blood pressure in adults

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 hypothetica...

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Main Authors: Rafael Silveira Freire, Vivianne Margareth Chaves Pereira Reis, Alexandre Botelho Brito, Maria Fernanda Santos Figueiredo Brito, Lucinéia de Pinho, Rosângela Ramos Veloso Silva, Marise Fagundes Silveira
Format: Article
Language:English
Published: Universidade de São Paulo 2020-12-01
Series:Revista de Saúde Pública
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102020000100317&tlng=en
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author Rafael Silveira Freire
Vivianne Margareth Chaves Pereira Reis
Alexandre Botelho Brito
Maria Fernanda Santos Figueiredo Brito
Lucinéia de Pinho
Rosângela Ramos Veloso Silva
Marise Fagundes Silveira
author_facet Rafael Silveira Freire
Vivianne Margareth Chaves Pereira Reis
Alexandre Botelho Brito
Maria Fernanda Santos Figueiredo Brito
Lucinéia de Pinho
Rosângela Ramos Veloso Silva
Marise Fagundes Silveira
author_sort Rafael Silveira Freire
collection DOAJ
description 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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spelling doaj.art-9dbe83ba0b9e428ebc42673ae76b00aa2022-12-21T17:49:15ZengUniversidade de São PauloRevista de Saúde Pública1518-87872020-12-015410.11606/s1518-8787.2020054002123Analysis of the interrelationships between factors influencing blood pressure in adultsRafael Silveira Freirehttps://orcid.org/0000-0002-3560-2082Vivianne Margareth Chaves Pereira Reishttps://orcid.org/0000-0001-8797-2678Alexandre Botelho Britohttps://orcid.org/0000-0003-2628-2117Maria Fernanda Santos Figueiredo Britohttps://orcid.org/0000-0001-5395-9491Lucinéia de Pinhohttps://orcid.org/0000-0002-2947-5806Rosângela Ramos Veloso Silvahttps://orcid.org/0000-0003-3329-8133Marise Fagundes Silveirahttps://orcid.org/0000-0002-8821-3160ABSTRACT 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102020000100317&tlng=enAdultMiddle AgedHypertension, epidemiologyHealth BehaviorRisk FactorsSocioeconomic FactorsCross-Sectional Studies
spellingShingle Rafael Silveira Freire
Vivianne Margareth Chaves Pereira Reis
Alexandre Botelho Brito
Maria Fernanda Santos Figueiredo Brito
Lucinéia de Pinho
Rosângela Ramos Veloso Silva
Marise Fagundes Silveira
Analysis of the interrelationships between factors influencing blood pressure in adults
Revista de Saúde Pública
Adult
Middle Aged
Hypertension, epidemiology
Health Behavior
Risk Factors
Socioeconomic Factors
Cross-Sectional Studies
title Analysis of the interrelationships between factors influencing blood pressure in adults
title_full Analysis of the interrelationships between factors influencing blood pressure in adults
title_fullStr Analysis of the interrelationships between factors influencing blood pressure in adults
title_full_unstemmed Analysis of the interrelationships between factors influencing blood pressure in adults
title_short Analysis of the interrelationships between factors influencing blood pressure in adults
title_sort analysis of the interrelationships between factors influencing blood pressure in adults
topic Adult
Middle Aged
Hypertension, epidemiology
Health Behavior
Risk Factors
Socioeconomic Factors
Cross-Sectional Studies
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102020000100317&tlng=en
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