Evidence map›Paper›PMID 33331490›Full record

ArticleRevista de saude publica2020

Analysis of the interrelationships between factors influencing blood pressure in adults.

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

Open access · goldAbstract read
In one paragraph

Article in Revista de saude publica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.2field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 13 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Rafael Silveira FreireFaculdades Unidas do Norte de Minas . Instituto de Ciências da Saúde . Montes Claros , MG , Brasil.ORCID http://orcid.org/0000-0002-3560-2082
Vivianne Margareth Chaves Pereira ReisUniversidade Estadual de Montes Claros . Departamento de Educação Física . Montes Claros , MG , Brasil.ORCID http://orcid.org/0000-0001-8797-2678
Alexandre Botelho BritoInstituto Federal do Norte de Minas Gerais . Departamento de Matemática . Montes Claros , MG , Brasil.ORCID http://orcid.org/0000-0003-2628-2117
Maria Fernanda Santos Figueiredo BritoUniversidade Estadual de Montes Claros . Programa de Pós-Graduação em Cuidado Primário em Saúde . Montes Claros , MG , Brasil.ORCID http://orcid.org/0000-0001-5395-9491
Lucinéia de PinhoUniversidade Estadual de Montes Claros . Programa de Pós-Graduação em Cuidado Primário em Saúde . Montes Claros , MG , Brasil.ORCID http://orcid.org/0000-0002-2947-5806
Rosângela Ramos Veloso SilvaUniversidade Estadual de Montes Claros . Departamento de Educação Física . Montes Claros , MG , Brasil.ORCID http://orcid.org/0000-0003-3329-8133
Marise Fagundes SilveiraUniversidade Estadual de Montes Claros . Programa de Pós-Graduação em Ciências da Saúde . Montes Claros , MG , Brasil.ORCID http://orcid.org/0000-0002-8821-3160
Universidade Estadual de Montes Claros · BRCentro Universitário do Norte · BRInstituto Federal de Educação Ciência e Tecnologia do Norte de Minas Gerais · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the interrelationships between sociodemographic, behavioral and clinical factors associated with high blood pressure in a population of Brazilian adults.

methodsData 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.

resultsThe 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).

conclusionsResults 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.

Indexed as

Blood PressureHypertensionAdolescentAdultAgedAged, 80 and overBrazilCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsYoung Adult

Identifiers

PMID33331490
PMCPMC7726937
OpenAlexW3109357461

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.