Evidence map›Paper›PMID 36774115›Full record

ArticleThe Journal of nutrition2022

Mortality Associated with Healthy Eating Index Components and an Empirical-Scores Healthy Eating Index in a Cohort of Postmenopausal Women.

Ross L Prentice, Aaron K Aragaki, Linda Van Horn, Cynthia A Thomson, Lesley F Tinker, JoAnn E Manson, Yasmin Mossavar-Rahmani, Ying Huang, Cheng Zheng, Shirley Aa Beresford and 4 more

Open access · greenAbstract read
In one paragraph

Article 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

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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

14 authors at 8 institutions in 1 country.

Ross L PrenticeDivision of Public Health Sciences, Fred Cancer Research Center, Seattle, WA, USA. Electronic address: rprentic@whi.org.
Aaron K AragakiDivision of Public Health Sciences, Fred Cancer Research Center, Seattle, WA, USA.
Linda Van HornDepartment of Preventive Medicine, Northwestern University, Chicago, IL, USA.
Cynthia A ThomsonMel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.
Lesley F TinkerDivision of Public Health Sciences, Fred Cancer Research Center, Seattle, WA, USA.
JoAnn E MansonDivision of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Yasmin Mossavar-RahmaniDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Ying HuangDivision of Public Health Sciences, Fred Cancer Research Center, Seattle, WA, USA.
Cheng ZhengDepartment of Biostatistics, University of Nebraska Medical Center, Omaha, NE, USA.
Shirley Aa BeresfordDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA.
Robert WallaceDepartments of Epidemiology and Internal Medicine, College of Public Health, University of Iowa, Iowa City, IA, USA.
Garnet L AndersonDivision of Public Health Sciences, Fred Cancer Research Center, Seattle, WA, USA.
Johanna W LampeDivision of Public Health Sciences, Fred Cancer Research Center, Seattle, WA, USA.
Marian L NeuhouserDivision of Public Health Sciences, Fred Cancer Research Center, Seattle, WA, USA.
Fred Hutch Cancer Center · USAlbert Einstein College of Medicine · USBrigham and Women's Hospital · USNorthwestern University · USUniversity of Arizona · USUniversity of Iowa · USUniversity of Nebraska Medical Center · USUniversity of Washington · US

Funding

Nutrition and Physical Activity Assessment Study (NPAAS)R01CA119171 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Marian L Neuhouser · 2006 to 2026
$14.3M
NCI NIH HHS R01 CA119171NHLBI NIH HHS HHSN268201100046CNHLBI NIH HHS HHSN268201600001CNHLBI NIH HHS HHSN268201600002CNHLBI NIH HHS HHSN268201600003CNHLBI NIH HHS HHSN268201600004CNIDA NIH HHS HHSN271201600004CNIDA NIH HHS HHSN271201600004I
6 · The paper itself

Abstract

backgroundStudies of diet and chronic disease include a recent important focus on dietary patterns. Patterns are typically defined by listing dietary variables and by totaling scores that reflect whether consumption is encouraged or discouraged for listed variables. However, precision may be improved by including total energy consumption among the dietary variables and by scoring dietary variables empirically.

objectivesTo relate Healthy Eating Index (HEI)-2010 components and total energy intake to all-cause and cause-specific mortality in Women's Health Initiative (WHI) cohorts and to define and evaluate an associated Empirical-Scores Healthy Eating Index (E-HEI).

methodsAnalyses are conducted in WHI cohorts (n = 67,247) of healthy postmenopausal women, aged 50-79 y, when enrolled during 1993-1998 at 40 US clinical centers, with embedded nutrition biomarker studies. Replicate food-frequency assessments for HEI-2010 ratio variables and doubly labeled water total energy assessments, separated by ∼6 mo, are used as response variables to jointly calibrate baseline dietary data to reduce measurement error influences, using 2 nutrition biomarker studies (n = 199). Calibrated dietary variables are associated with mortality risk, and an E-HEI is defined, using cross-validated HR regression estimation.

resultsOf 15 dietary variables considered, all but empty calories calibrated well. Ten variables related significantly (P < 0.05) to total mortality, with favorable fruit, vegetable, whole grain, refined grain, and unsaturated fat associations and unfavorable sodium, saturated fat, and total energy associations. The E-HEI had cross-validated total mortality HRs (95% CIs) of 0.87 (0.82, 0.93), 0.80 (0.76, 0.86), 0.77 (0.72, 0.82), and 0.74 (0.69, 0.79) respectively, for quintiles 2 through 5 compared with quintile 1. These depart more strongly from the null than do HRs for HEI-2010 quintiles, primarily because of total energy.

conclusionsMortality among US postmenopausal women depends strongly on diet, as evidenced by a new E-HEI that differs substantially from earlier dietary pattern score specifications.

Indexed as

Diet, HealthyPostmenopauseDietEnergy IntakeFemaleHumansWomen's Healthall-cause mortalitycancercardiovascular diseasedietary variableshazard ratioHealthy Eating Indexmeasurement errormultivariate calibration

Identifiers

PMID36774115
PMCPMC9644175
OpenAlexW4220706279

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.