Evidence map›Paper›PMID 40497066›Full record

ArticlePublic health challenges2024

Meat consumption and obesity: A climate-friendly way to reduce health inequalities.

Laura Sares-Jäske, Heli Tapanainen, Liisa Valsta, Peppi Haario, Satu Männistö, Maria Vaalavuo

Abstract read
In one paragraph

Article in Public health challenges, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Laura Sares-JäskeFinnish Institute for Health and Welfare Helsinki Finland.ORCID https://orcid.org/0000-0001-5151-9302
Heli TapanainenFinnish Institute for Health and Welfare Helsinki Finland.ORCID https://orcid.org/0009-0007-8402-2897
Liisa ValstaFinnish Institute for Health and Welfare Helsinki Finland.ORCID https://orcid.org/0000-0002-5203-278X
Peppi HaarioFinnish Institute for Health and Welfare Helsinki Finland.
Satu MännistöFinnish Institute for Health and Welfare Helsinki Finland.ORCID https://orcid.org/0000-0002-8668-3046
Maria VaalavuoFinnish Institute for Health and Welfare Helsinki Finland.ORCID https://orcid.org/0000-0002-1951-5042

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Climate change, health inequalities and obesity are considerable public health challenges of the 21st century. Red and processed meat (RPM) consumption is associated with an increased risk of obesity and with higher climate impact. At the same time, educational inequalities exist not only in RPM consumption and obesity but also in other health behaviours. Thus, we investigated whether educational inequalities exist in the association between RPM consumption and obesity, while also considering health behaviours (physical activity, vegetable, legume and fruit consumption, alcohol consumption and smoking) as potential confounding and effect modifying factors. Methods: The FinHealth 2017 Study data, including 4494 participants aged 18-74 years, were used. A validated food frequency questionnaire was employed to determine dietary intake. Height and weight were measured by trained study nurses. Linear and logistic regression models were used. Results: Odds of obesity increased along with RPM consumption in women ( Conclusion: High RPM consumption appears to be associated with obesity independently of other unfavourable health behaviours or education, yet the odds are higher with basic education. Targeting unhealthy dietary patterns with heavy ecological burden could help reduce both health inequalities and mitigate climate change.

Indexed as

climate impacteducationhealth inequalitieslifestyle habitsobesityprocessed meatred meat

Identifiers

PMID40497066
PMCPMC12060756

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.