Evidence map›Paper›PMID 34755860›Full record

Observational studyThe Journal of nutrition2022

Variations in Dietary Patterns Defined by the Healthy Eating Index 2015 and Associations with Mortality: Findings from the Dietary Patterns Methods Project.

Angela D Liese, Edwina Wambogo, Jennifer L Lerman, Carol J Boushey, Marian L Neuhouser, Song Wang, Brook E Harmon, Lesley F Tinker

Abstract readObservational Study
In one paragraph

Observational study in The Journal of nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Article
  4. Article
  5. Diet Quality and Body Mass Index Over 20 Years in the Multiethnic Cohort.Journal of the Academy of Nutrition and Dietetics · 2024
    Article
  6. Review
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Angela D LieseDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.ORCID 0000-0002-7022-0178
Edwina WambogoDivision of Cancer Control and Population Sciences, National Cancer Institute, NIH, US Department of Health and Human Services, Bethesda, MD, USA.
Jennifer L LermanDivision of Cancer Control and Population Sciences, National Cancer Institute, NIH, US Department of Health and Human Services, Bethesda, MD, USA.
Carol J BousheyEpidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
Marian L NeuhouserCancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Song WangDepartment of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA.
Brook E HarmonNutrition and Health Care Management, Appalachian State University, Boone, NC, USA.
Lesley F TinkerCancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Xin Chen · 1996 to 2026
$56.2M
NCI NIH HHS P30 CA071789NHLBI NIH HHS HHSN268201600004C
6 · The paper itself

Abstract

backgroundIt is currently unknown if within high-quality dietary intake there exist distinct dietary patterns associated with health benefits that are identifiable with multidimensional dietary pattern analyses. The purpose of this study was to identify specific dietary patterns and groups therein and their associations with all-cause, CVD, and cancer mortality.

methodsWe conducted sex-specific k-means cluster analyses within Healthy Eating Index 2015 (HEI-2015) quintile 5 in 3 US cohorts [NIH-American Association of Retired Persons Diet and Health Study (AARP), the Multiethnic Cohort (MEC), Women's Health Initiative Observational Study (WHI OS)], clusters ranging from n = 1190 to n = 12,007. Characterizations incorporated HEI-2015 overall and component-specific percentage adherence goals, using untruncated and truncated radar graphs and shape analyses. Using cohort- and sex-specific Cox proportional hazards models, associations of quintile 5 clusters with all-cause, cardiovascular disease (CVD), and cancer mortality were evaluated relative to quintile 1.

resultsIn each cohort sex-specific sample, 3 identified clusters included 16%-62% of participants, providing evidence for variation within high-quality dietary intake. Clusters revealed commonalities in total fruits and whole fruits intakes that exceeded goals and high sodium intake. Dairy and whole grain intakes oftentimes fell below goal. Some clusters were in addition characterized by total vegetables, greens & beans, and seafood & plant protein intakes exceeding goals. All high-quality dietary patterns were associated with a multivariable-adjusted significant 15%-26% lower risk of all-cause death than diet intake in quintile 1 (except for cluster 2 in WHI OS), and with a 16%-25% lower risk of CVD mortality in the AARP and MEC cohorts. Cancer mortality results were inconsistent.

conclusionsMultiple ways to achieve a high-quality diet were identified and significant associations with lower all-cause and CVD mortality were seen in some cohorts.

Indexed as

Cardiovascular DiseasesNeoplasmsDietDiet, HealthyFemaleHumansMaleProspective Studiesadultsall-cause mortalitycancer mortalitycardiovascular disease mortalitycluster analysiscohortdietary patternsDietary Patterns Methods ProjectHealthy Eating Indexshape analysis

Identifiers

PMID34755860
PMCPMC8891183

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.