Evidence map›Paper›PMID 33116717›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2020

Relationship Between Metabolic Syndrome and the Brazilian Workers' Food Program in Male and Female Manufacturing Workers.

Gabriela Santana Pereira, Ingrid Wilza Leal Bezerra, Anissa Melo de Souza, Isabelle Cristina Clemente Dos Santos, Vivian Nogueira Silbiger, Raiane Medeiros Costa, Karina Gomes Torres, Antonio Gouveia Oliveira

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 83% 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, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
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

8 authors at 1 institution in 1 country.

Gabriela Santana PereiraPost Graduation in Health Sciences, Centro de Ciências da Saúde, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil.ORCID 0000-0001-6868-4961
Ingrid Wilza Leal BezerraDepartment of Nutrition, Centro de Ciências da Saúde, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil.ORCID 0000-0003-4980-6905
Anissa Melo de SouzaPost Graduation in Health Sciences, Centro de Ciências da Saúde, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil.ORCID 0000-0001-9829-8981
Isabelle Cristina Clemente Dos SantosPost Graduation in Pharmaceutical Sciences, Centro de Ciências da Saúde, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil.ORCID 0000-0002-7766-7802
Vivian Nogueira SilbigerDepartment of Clinical and Toxicological Analyses, Centro de Ciências da Saúde, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil.ORCID 0000-0002-9252-0278
Raiane Medeiros CostaPost Graduation in Health Sciences, Centro de Ciências da Saúde, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil.ORCID 0000-0001-6586-4289
Karina Gomes TorresPost Graduation in Health Sciences, Centro de Ciências da Saúde, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil.ORCID 0000-0002-5831-0955
Antonio Gouveia OliveiraPost Graduation in Health Sciences, Centro de Ciências da Saúde, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil.ORCID 0000-0001-9103-6532
Universidade Federal do Rio Grande do Norte · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSeveral studies have reported increased cardiometabolic risk among workers assisted by food assistance public policies. The aim of this study was to estimate the prevalence of metabolic syndrome (MetS) and its individual components among manufacturing workers and their relationship to the Brazilian Workers' Food Program (WFP).

methodsIt was a prospective, cross-sectional, two-stage survey comparative of manufacturing workers from companies adherent and non-adherent to the WFP stratified by sector of activity and company size. The workers were interviewed in the workplace, and data on waist circumference (WC), blood pressure, and 12-hours fasting blood glucose (FBG), serum triglycerides (TG), and total and HDL-cholesterol were obtained. Mixed effects multilevel regression was used to compare WFP and non-WFP groups separately in each sex. All subjects gave written informed consent.

resultsThe survey included 332 workers from 16 WFP companies and 344 workers from 17 non-WFP companies. The general prevalence of MetS, according to IDF/AHA/NHLBI criteria, was high but not statistically different between sexes (39.8% in females versus 28.5% for males, p=0.16). Statistically significant differences were found between sexes in the prevalence of individual components: WC (77.8% in females versus 38.3% in males, p=0.002), TG (27.3% in females versus 40.8% in males, p=0.07), and HDL-C (52.2% in females versus 43.1% in males, p=0.05). Among males, MetS prevalence was significantly higher in the WFP group (33.0% versus 23.9%, p=0.008), and, in the individual components, the WFP group had higher prevalence of increased WC (47.0% versus 29.4%, p<0.001) and elevated FBG (8.9% versus 6.3%, p<0.001), as well as greater average levels of TG, HDL-C and FBG. Among female workers, no statistically significant differences between groups were observed in MetS prevalence and its individual components, but WFP female worker presented lower systolic and diastolic blood pressure.

conclusionIn a low-income population, male manufacturing workers participating in a food assistance program are at increased risk of MetS, an effect that was not identified among female workers.

Indexed as

cardiovascular risk factorsfood insecuritymetabolic syndromepublic policyworkers

Identifiers

PMID33116717
PMCPMC7568591
OpenAlexW3092089203

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.