Evidence map›Paper›PMID 38428741›Full record

ArticleThe American journal of clinical nutrition2024

Biomarker-assessed total energy intake and its cohort study association with all-cause mortality in postmenopausal females.

Ross L Prentice, Aaron K Aragaki, Cheng Zheng, JoAnn E Manson, Lesley F Tinker, Michele N Ravelli, Yasmin Mossavar-Rahmani, Robert B Wallace, Janet A Tooze, Karen C Johnson and 3 more

Registry-linked trialAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00000611 (Women's Health Initiative), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT00000611 phase3completednot on this map

Women's Health Initiative (WHI)

TypeinterventionalSponsorNational Heart, Lung, and Blood Institute (NHLBI)ConditionsBone Diseases, Breast Neoplasms, Cardiovascular Diseases, Colonic NeoplasmsArmshormone replacement therapy, estrogens, progestins, estrogen replacement therapy, diet, fat-restricted
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. Review
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

13 authors.

Ross L PrenticeDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States; School of Public Health, University of Washington, Seattle, WA, United States. Electronic address: rprentic@whi.org.
Aaron K AragakiDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States.
Cheng ZhengDepartment of Biostatistics, University of Nebraska Medical Center, Omaha, NE, United States.
JoAnn E MansonDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Lesley F TinkerDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States.
Michele N RavelliBiotech Center and Neurology, University of Wisconsin, Madison, WI, United States.
Yasmin Mossavar-RahmaniDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States.
Robert B WallaceCollege of Public Health, University of Iowa, Iowa City, IA, United States.
Janet A ToozeDivision of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, United States.
Karen C JohnsonDepartment of Preventive Medicine, University of Tennessee Health Center, Memphis TN, United States.
Johanna W LampeDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States; School of Public Health, University of Washington, Seattle, WA, United States.
Marian L NeuhouserDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States; School of Public Health, University of Washington, Seattle, WA, United States.
Dale A SchoellerBiotech Center and Nutritional Sciences, University of Wisconsin, Madison WI, United States.

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
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 P30 CA015704NCI NIH HHS R01 CA119171
6 · The paper itself

Abstract

backgroundThe association of total energy intake (EI) with all-cause mortality is uncertain as are the dependencies of this association on age and weight change history.

objectivesTo identify an EI biomarker suitable for use in epidemiologic association studies and to study EI associations with total mortality in a Women's Health Initiative (WHI) cohort of postmenopausal United States females (1993-present).

methodsEI biomarkers were developed based on doubly labeled water (DLW) total energy expenditure (TEE) and weight variation during the 2-wk DLW protocol period using the energy balance method in an embedded feeding study (n = 153). This along with 2 earlier WHI nutrition biomarker studies having TEE assessments (n = 1131 total), with 14.6 y (median) follow-up, constituted a prospective cohort for the study of EI and all-cause mortality.

resultsAn empirical biomarker for log(EI) was developed that had a correlation of 0.73 with log(feeding study-consumed EI). The overall association between EI and mortality was nonsignificant. The association, however, depended on age (P = 0.009), with lower EI associated with lower mortality at younger ages, and also on preceding weight change history (P = 0.03). Among participants with stable or increasing weight, mortality hazard ratios (95% confidence intervals [CIs]) for a 12% lower EI were 0.66 (95% CI: 0.51, 0.87) at age 60, 0.84 (95% CI: 0.72, 0.98) at age 70, and 1.06 (95% CI: 0.87, 1.29) at age 80. Corresponding values for participants having preceding weight loss were 0.83 (95% CI: 0.61, 1.12) at age 60, 1.05 (95% CI: 0.87, 1.26) at age 70, and 1.33 (95% CI: 1.08, 1.63) at age 80. A previously considered EI biomarker, using a theoretical model for variation in body fat and fat-free mass components over time, gave similar results following rescaling.

conclusionsLower EI is associated with lower all-cause mortality among younger postmenopausal females with stable or increasing weight and with higher mortality among older females with weight loss. This study was registered with clinicaltrials.gov as NCT00000611.

Indexed as

BiomarkersEnergy IntakeEnergy MetabolismPostmenopauseAgedCohort StudiesFemaleFollow-Up StudiesHumansMiddle AgedMortalityProspective StudiesUnited StatesBiomarkersall-cause mortalitybiomarkerbody weightdoubly labeled waterenergy intaketotal energy expenditure

Identifiers

PMID38428741
PMCPMC11130702

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.