Evidence map›Paper›PMID 32800153›Full record

ReviewThe Lancet. Planetary health2020

Defining diet quality: a synthesis of dietary quality metrics and their validity for the double burden of malnutrition.

Victoria Miller, Patrick Webb, Renata Micha, Dariush Mozaffarian, Global Dietary Database

Abstract readReview
In one paragraph

Review in The Lancet. Planetary health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed, 9 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

119 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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59 more citing papers are in PubMed but not listed here.

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

5 authors.

Victoria MillerFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA. Electronic address: victoria.miller@tufts.edu.
Patrick WebbFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
Renata MichaFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
Dariush MozaffarianFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
Global Dietary Database

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Achieving most of the UN Sustainable Development Goals requires a strong focus on addressing the double burden of malnutrition, which includes both diet-related maternal and child health (MCH) and non-communicable diseases (NCDs). Although, the most optimal dietary metric for assessing malnutrition remains unclear. Our aim was to review available global dietary quality metrics (hereafter referred to as dietary metrics) and evidence for their validity to assess MCH and NCD outcomes, both separately and together. A systematic search of PubMed was done to identify meta-analyses or narrative reviews evaluating validity of diet metrics in relation to nutrient adequacy or health outcomes. We identified seven dietary metrics aiming to address MCH and 12 for NCDs, no dietary metrics addressed both together. Four NCD dietary metrics (Mediterranean Diet Score, Alternative Healthy Eating Index, Healthy Eating Index, and Dietary Approaches to Stop Hypertension) had convincing evidence of protective associations with specific NCD outcomes, mainly mortality, cardiovascular disease, type 2 diabetes, and total cancer. The remaining NCD dietary metrics and all MCH dietary metrics were not convincingly validated against MCH or NCD health outcomes. None of the dietary metrics had been validated against both MCH and NCD outcomes. These findings highlight major gaps in assessing and addressing diet to achieve global targets and effective policy action.

Indexed as

AdolescentAdultBenchmarkingChild Nutrition DisordersChild, PreschoolDietFemaleHumansInfantInfant Nutrition DisordersMalnutritionMaternal HealthMiddle AgedYoung Adult

Identifiers

PMID32800153
PMCPMC7435701

What OpenQuestion holds

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LicenceCC BY
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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.