Evidence map›Paper›PMID 32040526›Full record

ArticlePloS one2020

Calorie and nutrient trends in large U.S. chain restaurants, 2012-2018.

Sara N Bleich, Mark J Soto, Caroline Glagola Dunn, Alyssa J Moran, Jason P Block

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  11. Nutrition and origin of US chain restaurant seafood.The American journal of clinical nutrition · 2021
    Article
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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.

Sara N BleichDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.ORCID 0000-0003-3098-3119
Mark J SotoDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.
Caroline Glagola DunnDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.ORCID 0000-0002-0088-9781
Alyssa J MoranDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Jason P BlockDepartment of Population Medicine, Harvard Medical School, Boston, MA, United States of America.ORCID 0000-0001-7660-9064

Funding

New Insights into the Federal Calorie Labeling LawR01DK115492 · NIDDK · HARVARD PILGRIM HEALTH CARE, INC. · PI Jason Perry Block · 2018 to 2026
$6.0M
NIDDK NIH HHS R01 DK115492
6 · The paper itself

Abstract

introductionLarge chain restaurants reduced calories in their newly-introduced menu items from 2012 to 2015. The objective of this study was to provide updated calorie trends through 2018 and examine trends in the macronutrient composition of menu items across this time period. METHODS AND

findingsData were obtained from the MenuStat project and include 66 of the 100 largest revenue generating U.S. chain restaurants (N = 28,238 items) that had data available in all years from 2012 to 2018. Generalized linear models were used to examine per-item calorie and nutrient changes (saturated fat, trans fat, unsaturated fat, sugar, non-sugar carbohydrates, protein, sodium) among (1) items on the menu in all years (common items) and (2) newly introduced items (2013-2018). Overall, there were no significant changes in calories or nutrients among common items from 2012 to 2018. Among all newly introduced items, calories (-120 kcals, -25%, p = 0.01; p-for-trend = 0.02), saturated fat (-3.4g, -41%, p<0.01, p-for-trend = 0.06), unsaturated fat (-4.5g, -37%, p = 0.02; p-for-trend = 0.04), non-sugar carbohydrates (-10.3g, -40%, p = 0.02, p-for-trend = 0.69), and protein (-4.3g, -25%, p = 0.04, p-for-trend = 0.02) declined.

conclusionNewly introduced menu items in large chain restaurants have continued to decline in calories through 2018, which may help to reduce calorie intake. Other changes in macronutrient content were sporadic and not clearly toward improved dietary quality.

Indexed as

Energy IntakeDietary CarbohydratesDietary FatsDietary ProteinsFood LabelingHumansLinear ModelsMenu PlanningNutrientsNutritive ValueRestaurantsUnited StatesDietary CarbohydratesDietary FatsDietary ProteinsNutrients

Identifiers

PMID32040526
PMCPMC7010289

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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.