Evidence map›Paper›PMID 34590125›Full record

ArticleThe Journal of nutrition2021

Diet and Liver Adiposity in Older Adults: The Multiethnic Cohort Adiposity Phenotype Study.

Tanyaporn K Kaenkumchorn, Melissa A Merritt, Unhee Lim, Loïc Le Marchand, Carol J Boushey, John A Shepherd, Lynne R Wilkens, Thomas Ernst, Johanna W Lampe

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in The Journal of nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Tanyaporn K KaenkumchornDivision of Pediatric Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, Seattle Children's Hospital, Seattle, WA, USA.
Melissa A MerrittCancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
Unhee LimCancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.ORCID 0000-0001-6221-7190
Loïc Le MarchandCancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.ORCID 0000-0001-5013-980X
Carol J BousheyCancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
John A ShepherdCancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
Lynne R WilkensCancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
Thomas ErnstDepartment of Diagnostic Radiology and Nuclear Medicine, School of Medicine, University of Maryland, Baltimore, MD, USA.
Johanna W LampeDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
University of Hawaiʻi at Mānoa · USFred Hutch Cancer Center · USSeattle Children's Hospital · USUniversity of Maryland, Baltimore · US

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
Southern California Clinical and Translational Science InstituteUL1TR000130 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$36.0M
Recruitment and Data CollectionP01CA168530 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI LE MARCHAND, LOIC · 2012 to 2016
$19.9M
NCATS NIH HHS UL1 TR000130NCATS NIH HHS UL1 TR001855NCI NIH HHS P01 CA168530NCI NIH HHS U01 CA164973
6 · The paper itself

Abstract

backgroundDiet plays a key role in the pathogenesis of nonalcoholic fatty liver disease. Limited data exist regarding specific nutrients and food groups and liver fat continuously, particularly among different ethnicities.

objectivesWe aimed to determine the relationship between usual dietary intake and accurately measured liver fat content in a multiethnic population.

methodsParticipants from the Multiethnic Cohort were recruited into the cross-sectional Adiposity Phenotype Study including women and men aged 60-77 y and 5 race/ethnic groups (African American, Japanese American, Latino, Native Hawaiian, and white). They filled out a detailed FFQ and underwent abdominal MRI for liver fat quantification and whole-body DXA for total adiposity. Intake of a priori-selected dietary factors (total and macronutrient energy, specific micronutrients, and food groups) was analyzed in relation to liver fat by estimating the mean percentage liver fat for quartiles of each dietary factor in a general linear model that adjusted for age, sex, race/ethnicity, percentage body fat, and daily energy intake (kcal/d).

resultsIn total, 1682 participants (mean age: 69.2 y; 51% female) were included. Mean ± SD liver fat percentage was 5.7 ± 4.6. A significant positive association with liver fat was found across quartiles of percentage energy from fat, saturated fat, cholesterol, total red meat, red meat excluding processed red meat, and coffee (Bonferroni-adjusted P-trend < 0.05). A significant inverse association was observed for dietary fiber, vitamin C, and vitamin E (Bonferroni-adjusted P-trend < 0.05).

conclusionsThis study of ethnically diverse older adults shows that certain dietary factors, in particular red meat and saturated fat from red meat, were strongly associated with liver fat, whereas dietary fiber was inversely associated with liver fat, replicating some of the previous studies conducted mostly in whites.

Indexed as

AdiposityDietAgedCross-Sectional StudiesFemaleHumansLiverMaleMiddle AgedPhenotypedietliverliver fatnonalcoholic fatty liver diseasenutrients

Identifiers

PMID34590125
PMCPMC8564699
OpenAlexW3204898876

What OpenQuestion holds

Textmetadata
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.