Evidence map›Paper›PMID 36110105›Full record

ArticleCurrent developments in nutrition2022

Frequency of Eating in the US Population: A Narrative Review of the 2020 Dietary Guidelines Advisory Committee Report.

Regan L Bailey, Heather J Leidy, Richard D Mattes, Steven B Heymsfield, Carol J Boushey, Namanjeet Ahluwalia, Alexandra E Cowan, TusaRebecca Pannucci, Alanna J Moshfegh, Joseph D Goldman and 4 more

Open access · goldAbstract read
In one paragraph

Article in Current developments in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

14 authors at 9 institutions in 1 country.

Regan L BaileyInstitute for Advancing Health through Agriculture, Texas A&M University, College Station, TX, USA.
Heather J LeidyDepartments of Nutritional Sciences and Pediatrics, Dell Medical School, University of Texas at Austin, Austin, TX, USA.
Richard D MattesInstitute for Advancing Health through Agriculture, Texas A&M University, College Station, TX, USA.
Steven B HeymsfieldPennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA.
Carol J BousheyEpidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
Namanjeet AhluwaliaDivision of Health and Nutrition Examination Surveys, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD, USA.
Alexandra E CowanInstitute for Advancing Health through Agriculture, Texas A&M University, College Station, TX, USA.ORCID https://orcid.org/0000-0003-2544-2676
TusaRebecca PannucciCenter for Nutrition Policy and Promotion, Food and Nutrition Services, US Department of Agriculture, Alexandria, VA, USA.
Alanna J MoshfeghAgricultural Research Service, US Department of Agriculture, Beltsville, MD, USA.
Joseph D GoldmanAgricultural Research Service, US Department of Agriculture, Beltsville, MD, USA.
Donna G RhodesAgricultural Research Service, US Department of Agriculture, Beltsville, MD, USA.
Eve E StoodyCenter for Nutrition Policy and Promotion, Food and Nutrition Services, US Department of Agriculture, Alexandria, VA, USA.
Janet de JesusOffice of Disease Prevention and Health Promotion, US Department of Health and Human Services, Rockville, MD, USA.ORCID https://orcid.org/0000-0002-4025-0675
Kellie O CasavaleOffice of Nutrition and Food Labeling, Center for Food Safety and Applies Nutrition, Food and Drug Administration, US Department of Health and Human Services, College Park, MD, USA.ORCID https://orcid.org/0000-0003-2267-4084
Agricultural Research Service · USCenter for Advancing Health · USCenter for Nutrition Policy and Promotion · USCenter for Food Safety and Applied Nutrition · USCenters for Disease Control and Prevention · USOffice of Disease Prevention and Health Promotion · USPennington Biomedical Research Center · USThe University of Texas at Austin · USUniversity of Hawaiʻi at Mānoa · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A person's daily nutrient intake and overall nutritional status are determined by a complex interplay of the types and amounts of foods ingested in combination with the timing and frequency of eating. Objectives: The aim was to summarize frequency of eating occasion data examined by the 2020 Dietary Guidelines Advisory Committee, the macronutrient contributions they provide, and meal frequency relative to dietary quality among the US population (≥2 y), with a focus on sex, age, race/Hispanic origin, and income. Methods: Demographic and 24-h recall data from the 2013-2016 NHANES were examined. An eating occasion was defined as "any ingestive event (e.g., solid food, beverage, water) that is either energy yielding or non-energy yielding"; all eating occasions were further divided into discrete meals and snacks. Frequency of meals and snacks was defined as "the number of daily EOs [eating occasions]," respectively. Diet quality was assessed via the Healthy Eating Index (HEI)-2015. Results: Most Americans consume 2 (28%) to 3 (64%) meals on a given day and >90% consume 2 to 3 snacks on that day. Adult, Hispanic, and non-Hispanic Black and lower-income (<131% family poverty-to-income ratio) Americans had a lower frequency of eating than children or adolescents, non-Hispanic White, and non-Hispanic Asian Americans and higher-income Americans, respectively. Americans who reported 3 meals on a given day consumed a diet higher in dietary quality than Americans who consumed 2 meals on a given day (HEI-2015: 61.0 vs. 55.0), regardless of population subgroup. Conclusions: The frequency of the types of eating occasions differs according to age, race and Hispanic origin, and income. Dietary quality is associated with the number of meals consumed. Healthy dietary patterns can be constructed in a variety of ways to suit different life stages, cultural practices, and income levels; improved diet quality and careful consideration of nutrient density when planning meals are warranted.

Indexed as

dietary qualityeating behaviorsfrequency of eatingmeal patternsNHANES

Identifiers

PMID36110105
PMCPMC9469881
OpenAlexW4293434490

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.