Evidence map›Paper›PMID 40944446›Full record

ArticleAging cell2025

Association of Eating Window With Mortality Among US Adults: Insights From a Nationally Representative Study.

Ziling Mao, Haley Grant, Stephen B Kritchevsky, Anne B Newman, Samaneh Farsijani

Abstract read
In one paragraph

Article in Aging cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

5 authors.

Ziling MaoDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Haley GrantDepartment of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-8173-5302
Stephen B KritchevskyDepartment of Internal Medicine, Section on Gerontology & Geriatric Medicine and the Sticht Center for Healthy Aging and Alzheimer's Prevention, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Anne B NewmanDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Samaneh FarsijaniDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-0671-4392

Funding

The relationship between protein intake, gut microbiome, inflammaging and loss of mobility in older adultsK01AG071855 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Samaneh Farsijani · 2022 to 2026
$630k
NIA NIH HHS K01 AG071855
6 · The paper itself

Abstract

Time-based diets have gained popularity for their health benefits, but their effects on human longevity remain unclear, with most evidence from short-term human trials and animal studies. We determined the associations between eating window and mortality among U.S. adults. We conducted a prospective cohort study using NHANES 2003-2018 data linked to mortality records through December 2019. The analytic sample included 33,052 adults (aged 20 and above) with two complete 24-h dietary recalls collected at baseline. Eating window was defined as the time between first and last consumption of any food/beverage containing > 0 kcal within 24 h. We used survey-weighted Cox regression with Restricted Cubic Splines (RCS) to model nonlinear associations, treating eating window as both a continuous and categorical variable (< 8.0-≥ 15.0 h/day). Models were adjusted for sociodemographic, lifestyle, health, and dietary factors. Subgroup analyses were conducted by age, sex, and race/ethnicity. Over a median follow-up of 8 years, there were 4158 all-cause, 1277 cardiovascular, and 989 cancer deaths. RCS models showed a U-shaped association between eating window and mortality, with the lowest risk at ~11-12 h/day (p = 0.004). Shorter windows (≤ 8 h) were linked to ≥ 30% higher all-cause mortality, especially in older adults, and > 50% higher cardiovascular mortality in older adults, men, and Whites. Longer eating window categories (≥ 15 h/day) were associated with 25% higher all-cause mortality (95% CI: 1.01-1.55). Moderate eating windows (~11-12 h/day) are linked to the lowest mortality risk, with deviations associated with higher risk. Differences across demographic groups highlight the need for personalized guidance.

Indexed as

DietFeeding BehaviorMortalityAdultAgedFemaleHumansMaleMiddle AgedNutrition SurveysProspective StudiesUnited StatesYoung Adultcardiometabolic agingchrono‐dietcircadian nutritionlongevitynational dietary surveillancepopulation‐based cohort

Identifiers

PMID40944446
PMCPMC12610411

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.