Evidence map›Paper›PMID 40074038›Full record

ArticleThe American journal of clinical nutrition2025

Greenhouse gas emissions in relation to micronutrient intake and implications of energy intake: a comparative analysis of different modeling approaches.

Anna Stubbendorff, Elinor Hallström, Georgia Tomova, Yan Borné, Suzanne Janzi, Emily Sonestedt, Ulrika Ericson

Erratum issuedAbstract readComparative Study
In one paragraph

Article in The American journal of clinical nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Anna StubbendorffNutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden. Electronic address: anna.stubbendorff@med.lu.se.
Elinor HallströmNutrition, Sustainability and Health Promotion Group, National Food Institute, Technical University of Denmark, Kgs Lyngby, Denmark; Department of Agriculture and Food, Research Institutes of Sweden (RISE), Lund, Sweden.
Georgia TomovaLeeds Institute for Data Analytics, University of Leeds, Leeds, UK; School of Food Science & Nutrition, University of Leeds, Leeds, UK.
Yan BornéNutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Suzanne JanziNutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Emily SonestedtNutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden; Department of Food and Meal Science, Faculty of Natural Science, Kristianstad University, Kristianstad, Sweden.
Ulrika EricsonDiabetes and Cardiovascular disease, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden. Electronic address: Ulrika.ericson@med.lu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman diets account for 30% of greenhouse gas emissions (GHGE). Reporting dietary GHGE with or without energy standardization yields different outcomes, often resulting in conflicting conclusions regarding associations with micronutrient intake.

objectivesThis study aims to compare methods of reporting dietary GHGE, with and without consideration of energy intake, and their respective associations with micronutrient intake.

methodsData were sourced from the Malmö Diet and Cancer Study, a cohort involving 25,970 participants. GHGE were estimated based on life cycle assessment data. The study explores different methods of reporting dietary climate impact: GHGE per day, GHGE per 1000 kcal, and with different energy adjustments. Association with micronutrient intake was modeled as daily intake and per 1000 kcal using linear regression models.

resultsDiets with higher GHGE per day were associated with a higher daily intake of all 17 examined micronutrients. When energy was included in the model, the results for GHGE per 1000 kcal aligned well with those for GHGE per day. However, using GHGE per 1000 kcal generally showed that higher GHGE were linked to lower daily micronutrient intake. Different methods of adjusting for energy intake yielded estimates with varying directions and magnitudes of associations.

conclusionsThis study highlights the implications of energy intake when assessing the impact of dietary GHGE and demonstrates that the choice of GHGE modeling approach might have important consequences for the results and interpretation. The method of choice for modeling dietary GHGE in relation to micronutrient intake needs to be carefully considered in future studies.

Indexed as

DietEnergy IntakeGreenhouse GasesMicronutrientsAgedCohort StudiesFemaleHumansMaleMiddle AgedGreenhouse GasesMicronutrientsclimateenergy intakemicronutrient deficiencynutrient adequacynutrient intakesustainable diet

Identifiers

PMID40074038
PMCPMC12107493

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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.