Evidence map›Paper›PMID 35830123›Full record

ArticleRevista latino-americana de enfermagem2022

Association between Metabolic Syndrome and professional category: a cross-sectional study with Nursing professionals.

Amália Ivine Costa Santana, Magno Conceição das Merces, Argemiro D'Oliveira Júnior

Open access · diamondAbstract readMulticenter Study
In one paragraph

Article in Revista latino-americana de enfermagem, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 2 institutions in 1 country.

Amália Ivine Costa SantanaUniversidade Federal da Bahia, Salvador, BA, Brasil.ORCID http://orcid.org/0000-0002-6030-2540
Magno Conceição das MercesUniversidade do Estado da Bahia, Departamento de Ciências da Vida, Salvador, BA, Brasil.ORCID http://orcid.org/0000-0003-3493-8606
Argemiro D'Oliveira JúniorUniversidade Federal da Bahia, Salvador, BA, Brasil.ORCID http://orcid.org/0000-0002-3476-8216
Universidade Federal da Bahia · BRUniversidade do Estado da Bahia · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveto evaluate the association of Metabolic Syndrome and its components among Primary Health Care Nursing professionals in the state of Bahia, Brazil, according to professional category.

methoda cross-sectional, population-based and multicenter study conducted with 1,125 Nursing professionals. The independent variable was the professional category, dichotomized into technical and higher education levels. The outcome was Metabolic Syndrome following criteria from the National Cholesterol Education Program Adult Treatment Panel III based on anthropometric measurements and blood samples. The statistical analysis was performed by calculating the prevalence ratios and using Pearson's Chi-square test.

resultsthe prevalence of Metabolic Syndrome was higher in the technical level category (PR=1.64; CI=1.29 - 2.06; p≤0.01). When compared to Nurses, these professionals were older, had lower incomes, worked more on duty and performed less physical activity on a regular basis. Among the Nurses, the most prevalent component was altered cholesterol (40.5%) and among the Nursing Technicians/Assistants, it was abdominal obesity (47.3%).

conclusionthe association between the Nursing category and Metabolic Syndrome was evident, with higher occurrence among technical level professionals.

Indexed as

Metabolic SyndromeAdultBrazilCross-Sectional StudiesExerciseHumansPrevalence

Identifiers

PMID35830123
PMCPMC9264912
OpenAlexW4285138244

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.