Evidence map›Paper›PMID 31093264›Full record

ArticleRevista panamericana de salud publica = Pan American journal of public health2019

[Consumption of red and processed meat, insulin resistance, and diabetes in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)Consumo de carnes rojas y de carne procesada, resistencia a la insulina y diabetes en el estudio longitudinal de salud del adulto (ELSA-Brasil)].

Carla Moronari de Oliveira Aprelini, Vivian Cristine Luft, Gustavo Velásquez Meléndez, Maria Inês Schmidt, José Geraldo Mill, Maria Del Carmen Bisi Molina

Abstract readEnglish Abstract
In one paragraph

Article in Revista panamericana de salud publica = Pan American journal of public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Consumption of Meat in Brazil: A Perspective on Social Inequalities and Food and Nutrition Security.International journal of environmental research and public health · 2024
    Article
  3. Article
  4. Article
  5. 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

6 authors.

Carla Moronari de Oliveira ApreliniPrograma de Pós-Graduação em Saúde Coletiva Programa de Pós-Graduação em Saúde Coletiva Universidade Federal do Espírito Santo VitóriaES Brasil Universidade Federal do Espírito Santo, Programa de Pós-Graduação em Saúde Coletiva, Vitória (ES), Brasil.
Vivian Cristine LuftPrograma de Pós-Graduação em Epidemiologia Programa de Pós-Graduação em Epidemiologia Universidade Federal do Rio Grande do Sul (UFRGS) Porto AlegreRS Brasil Universidade Federal do Rio Grande do Sul (UFRGS), Programa de Pós-Graduação em Epidemiologia, Porto Alegre (RS), Brasil.
Gustavo Velásquez MeléndezEscola de Enfermagem Escola de Enfermagem Universidade Federal de Minas Gerais (UFMG) Belo HorizonteMG Brasil Universidade Federal de Minas Gerais (UFMG), Escola de Enfermagem, Belo Horizonte (MG), Brasil.
Maria Inês SchmidtPrograma de Pós-Graduação em Epidemiologia Programa de Pós-Graduação em Epidemiologia Universidade Federal do Rio Grande do Sul (UFRGS) Porto AlegreRS Brasil Universidade Federal do Rio Grande do Sul (UFRGS), Programa de Pós-Graduação em Epidemiologia, Porto Alegre (RS), Brasil.
José Geraldo MillPrograma de Pós-Graduação em Saúde Coletiva Programa de Pós-Graduação em Saúde Coletiva Universidade Federal do Espírito Santo VitóriaES Brasil Universidade Federal do Espírito Santo, Programa de Pós-Graduação em Saúde Coletiva, Vitória (ES), Brasil.
Maria Del Carmen Bisi MolinaPrograma de Pós-Graduação em Saúde Coletiva Programa de Pós-Graduação em Saúde Coletiva Universidade Federal do Espírito Santo VitóriaES Brasil Universidade Federal do Espírito Santo, Programa de Pós-Graduação em Saúde Coletiva, Vitória (ES), Brasil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the association between red and processed meat consumption and the occurrence of new cases of insulin resistance (IR) and diabetes

methodThis cohort study included 15 105 civil servants (age: 35-74 years). Biochemical, anthropometric, and socioeconomic data, as well as lifestyle characteristics, were collected at baseline (2008-2010) and wave 2 (2012-2014). Meat consumption (g/day) was estimated using a food frequency questionnaire. To categorize low, medium, and high consumption, independent variables were divided into tertiles. DM was diagnosed as fasting glucose ≥ 126 mg/dL, postload glucose ≥ 200 mg/dL, or glycated hemoglobin ≥ 6.5. IR was determined by HOMA-IR with cutoff points based on the sample's 75th percentile.

resultsMen and participants with lower income and schooling reported higher consumption of red and processed meat. High consumption of processed meat (highest tertile, > 27.1 g/day) was associated with new cases of IR in men (OR = 1.68; 95%CI: 1.31-2.16) and women (OR = 1.23; 95%CI: 1.00-1>52). High consumption of red meat increased by 40% (95%CI: 1.04-1.96) the likelihood of new cases of DM in men.

conclusionsHigh consumption of red/processed meat negatively impacted the health of participants. Moderate consumption of meats may be recommended for the general population and for prevention of DM.

Indexed as

Brazildiabetes mellitusinsulin resistancemeat productsRed meat

Identifiers

PMID31093264
PMCPMC6499085

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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.