Evidence map›Paper›PMID 36554589›Full record

ArticleInternational journal of environmental research and public health2022

Carbon Footprint of Away-From-Home Food Consumption in Brazilian Diet.

Ilana Nogueira Bezerra, Sara Maria Moreira Lima Verde, Bruno de Sousa Almeida, Clarisse Vasconcelos de Azevedo

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

4 authors.

Ilana Nogueira BezerraPostgraduate Program in Nutrition and Health, Ceara State University, Av. Dr. Silas Munguba, 1700, Fortaleza 60714-903, Brazil.ORCID 0000-0002-2072-0123
Sara Maria Moreira Lima VerdePostgraduate Program in Nutrition and Health, Ceara State University, Av. Dr. Silas Munguba, 1700, Fortaleza 60714-903, Brazil.
Bruno de Sousa AlmeidaPostgraduate Program in Nutrition and Health, Ceara State University, Av. Dr. Silas Munguba, 1700, Fortaleza 60714-903, Brazil.ORCID 0000-0001-5395-7330
Clarisse Vasconcelos de AzevedoPostgraduate Program in Public Health, Ceara State University, Av. Dr. Silas Munguba, 1700, Fortaleza 60714-903, Brazil.ORCID 0000-0002-5750-7123

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmentally unsustainable diets are often characterized by being high in calories, processed foods, and red meats, characteristics related to away-from-home food (AFHF). The aim of this study is to evaluate if AFHF consumption is related to environmental sustainability. Data of 20,780 adults from 24 h recalls collected in the 2017-2018 Brazilian National Dietary Survey (NDS) were used to estimate carbon footprint coefficients. The mean carbon footprint was estimated among individuals who consumed AFHF and non-consumers. Linear regression models were used to evaluate differences between away-from-home eating and the carbon footprint of the diet, adjusting for age and income. A total of 41% of Brazilians consumed AFHF during the previous day. The mean carbon footprint from foods consumed away from home represented 18% of the total carbon footprint. AFHF was positively associated with increased total carbon footprint (β: 204.1;

Indexed as

Carbon FootprintFeeding BehaviorAdultBrazilDietEnergy IntakeHumanscarbon footprintfood habitsfood servicesstreet foodsustainable development indicators

Identifiers

PMID36554589
PMCPMC9778906

What OpenQuestion holds

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LicenceCC BY
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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.