Evidence map›Paper›PMID 31691442›Full record

SynthesisObesity reviews : an official journal of the International Association for the Study of Obesity2020

Experimental and observational studies on alcohol use and dietary intake: a systematic review.

Jenna R Cummings, Ashley N Gearhardt, Lara A Ray, Alyssa K Choi, A Janet Tomiyama

Open access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in Obesity reviews : an official journal of the International Association for the Study of Obesity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 32 citations in OpenAlex.

  1. Protein Decoys, Alcohol, and Energy Intake: Testing a Mechanistic-Ecological Model.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. 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

5 authors at 2 institutions in 1 country.

Jenna R CummingsDepartment of Psychology, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0001-8124-2666
Ashley N GearhardtDepartment of Psychology, University of Michigan, Ann Arbor, Michigan.
Lara A RayDepartment of Psychology, University of California, Los Angeles, Los Angeles, California.
Alyssa K ChoiDepartment of Psychology, University of California, Los Angeles, Los Angeles, California.
A Janet TomiyamaDepartment of Psychology, University of California, Los Angeles, Los Angeles, California.
University of California, Los Angeles · USUniversity of Michigan · US

Funding

Training in Developmental Science to Improve Child Health and Well-BeingT32HD079350 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUMENG, JULIE C · 2015 to 2019
$1.2M
NICHD NIH HHS T32 HD079350
6 · The paper itself

Abstract

The scientific literature on links among alcohol use, total energy intake, cardiometabolic disease and obesity is conflicting. To clarify the link between alcohol use and cardiometabolic health, this systematic review (PROSPERO CRD42016039308A) uses PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to synthesize how alcohol use affects dietary intake (carbohydrate, fat and protein intake) in humans. A search of Google Scholar, PsycINFO and PubMed from June 2016-March 2019 yielded 30 qualified studies. Experimental and observational studies allowed for inferences about effects of a single drinking occasion and of frequent drinking, respectively. Alcohol quantities were standardized according to the 2015-2020 Dietary Guidelines for Americans. On average, methodological quality of the studies was medium strength. Results indicated that a single occasion of light and moderate drinking as well as frequent light and moderate drinking were linked to greater fat and protein intake, albeit the majority of studies did not detect differences in dietary intake due to these drinking behaviours. Frequent heavy drinking, on the other hand, was linked to less carbohydrate intake in the majority of studies. Overall, alcohol use does not appear to uniformly affect diet but instead appears to affect intake of specific macronutrients in a dose-dependent manner, most consistently decreasing carbohydrate intake with heavier use.

Indexed as

Alcohol DrinkingEnergy IntakeDietEatingHumansObesityRisk Factorsalcoholdietary intakePROSPERO CRD42016039308systematic review

Identifiers

PMID31691442
PMCPMC6981020
OpenAlexW2982866522

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.