Evidence map›Paper›PMID 29694630›Full record

ArticleArchives of endocrinology and metabolism2018

Cardiovascular risk in rural workers and its relation with body mass index.

Joana Carolina Bernhard, Kely Lisandra Dummel, Éboni Reuter, Miriam Beatris Reckziegel, Hildegard Hedwig Pohl

Abstract read
In one paragraph

Article in Archives of endocrinology and metabolism, 2018. 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
–field-weighted citation impact
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.

  1. Cardiovascular risk, lifestyle and anthropometric status of rural workers in Pardo River Valley, Rio Grande do Sul, Brazil.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT · 2020
    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

5 authors.

Joana Carolina BernhardDepartamento de Educação Física e Saúde, Universidade de Santa Cruz do Sul, Santa Cruz do Sul, RS, Brasil.
Kely Lisandra DummelDepartamento de Educação Física e Saúde, Universidade de Santa Cruz do Sul, Santa Cruz do Sul, RS, Brasil.
Éboni ReuterDepartamento de Educação Física e Saúde, Universidade de Santa Cruz do Sul, Santa Cruz do Sul, RS, Brasil.
Miriam Beatris ReckziegelDepartamento de Educação Física e Saúde, Universidade de Santa Cruz do Sul, Santa Cruz do Sul, RS, Brasil.
Hildegard Hedwig PohlDepartamento de Educação Física e Saúde, Universidade de Santa Cruz do Sul, Santa Cruz do Sul, RS, Brasil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective Evaluate the propensity of cardiovascular risk in rural workers and, through the Framingham Risk Score (FRS), relate this risk with the classification of Body Mass Index (BMI). Subjects and methods This study is characterized as descriptive and exploratory, with the participation of 138 subjects, ranging between 25-73 years old. Clinical and laboratory analysis of the risk factors contained in the FRS were performed, in addition to the determination of BMI, blood pressure, smoking and physical inactivity. Results The procedures indicated a low risk of a coronary event in 10 years with 70.3% of the population. In contrast, 88.4% of the subjects were overweight. It was evidenced a risk improvement as the BMI increased, since 96.4% of high-risk cases were overweight or obese. Conclusion Results suggest larger prevalence of intermediary or high FRS for women with higher BMI, which was not observed in men.

Indexed as

AdultBody Mass IndexBrazilCardiovascular DiseasesFemaleHumansMaleMiddle AgedObesityPrevalenceRisk FactorsRural PopulationSocioeconomic Factors

Identifiers

PMID29694630
PMCPMC10118691

What OpenQuestion holds

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Registered trials

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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.