ArticleAging cell2025
Association of Eating Window With Mortality Among US Adults: Insights From a Nationally Representative Study.
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.
What it found
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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.
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.
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Who cites it
5 citing papers in PubMed.
- Promise and Uncertainty of Intermittent Fasting for Aging Populations.Advances in nutrition (Bethesda, Md.) · 2026Article
- Triangulating associations between fruit intake and lung cancer risk: evidence from GBD estimates, Mendelian randomization, and real-world validation.The oncologist · 2026Article
- The diversity and consistency of what and when people eat.Nature metabolism · 2026Article
- National trends in the unmet healthcare needs among patients with hypertension or type 2 diabetes mellitus in Korea from 2009 to 2023.Scientific reports · 2025Article
- The diversity and consistency of what and when people eat.Research square · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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.
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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 Socratic graph.