Evidence map›Paper›PMID 29071481›Full record

ReviewCurrent obesity reports2017

Ultra-processed Food Intake and Obesity: What Really Matters for Health-Processing or Nutrient Content?

Jennifer M Poti, Bianca Braga, Bo Qin

Open access · greenAbstract readReview
In one paragraph

Review in Current obesity reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 237 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
237citing papers in PubMed, 9 pooled it
23.1field-weighted citation impact, top 1% of its field
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

237 citing papers in PubMed, 9 syntheses or guidelines pooled it, 470 citations in OpenAlex.

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177 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

3 authors at 2 institutions in 2 countries.

Jennifer M PotiDepartment of Nutrition, Carolina Population Center, University of North Carolina at Chapel Hill, Campus Box #7461, Chapel Hill, NC, 27599, USA. poti@unc.edu.
Bianca BragaUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Bo QinPopulation Science, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.
University of North Carolina at Chapel Hill · USRutgers, The State University of New Jersey · US

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUSAN M. SMITH · 1999 to 2026
$31.6M
Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
SES and race-ethnic disparities in food purchasing and dietary intake:2000-2015R01DK098072 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2013 to 2017
$3.2M
NICHD NIH HHS P2C HD050924NICHD NIH HHS R24 HD050924NIDDK NIH HHS P30 DK056350NIDDK NIH HHS R01 DK098072NIH HHS DK56350NIH HHS R01DK098072
6 · The paper itself

Abstract

purpose of reviewThe aim of this narrative review was to summarize and critique recent evidence evaluating the association between ultra-processed food intake and obesity. RECENT

findingsFour of five studies found that higher purchases or consumption of ultra-processed food was associated with overweight/obesity. Additional studies reported relationships between ultra-processed food intake and higher fasting glucose, metabolic syndrome, increases in total and LDL cholesterol, and risk of hypertension. It remains unclear whether associations can be attributed to processing itself or the nutrient content of ultra-processed foods. Only three of nine studies used a prospective design, and the potential for residual confounding was high. Recent research provides fairly consistent support for the association of ultra-processed food intake with obesity and related cardiometabolic outcomes. There is a clear need for further studies, particularly those using longitudinal designs and with sufficient control for confounding, to potentially confirm these findings in different populations and to determine whether ultra-processed food consumption is associated with obesity independent of nutrient content.

Indexed as

EatingFood HandlingNutritive ValueAdolescentAdultChildChild, PreschoolDyslipidemiasEnergy MetabolismFast FoodsFeeding BehaviorFemaleGlucose Metabolism DisordersHumansHypertensionMaleFood processingObesityOverweightProcessed foodUltra-processed food

Identifiers

PMID29071481
PMCPMC5787353
OpenAlexW2765151660

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.