Associations of eating duration and shift work with accelerated biological aging among U.S. workers

Eating duration and shift work can both influence circadian rhythm, which is crucial for longevity. However, their joint associations on the aging process remain unexplored. We aimed to examine the independent and joint associations of eating duration and shift work with accelerated biological aging (ABA) in a representative sample of U.S. workers. A cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES), 2005–2010 and 2017–2018. We included 10,211, 10,062, and 9,572 workers in eating duration, shift work, and joint association analyses, respectively. Time of eating occasions were accessed by 24-h dietary recalls, and eating duration was categorized as short (SED: <12 h), moderate (MED: 12−14 h; reference), and long eating duration (LED: ≥14 h). Work schedules were self-reported and classified as shift work (SW) vs. non-shift work (NSW). ABA was defined as biological age exceeding chronological age using the residual method. Adjusted Poisson regressions were used to examine the independent and joint associations. Eating duration had a U-shaped relationship with ABA. SED (PR, 1.13; 95%CI, 1.01–1.27) and LED (PR, 1.07; 95%CI, 0.96–1.19) were associated with higher prevalences of ABA compared to MED. SW was independently associated with a higher prevalence of ABA (PR, 1.10; 95%CI, 1.01–1.20). Workers with both SED and SW had an increased prevalence of ABA (PR, 1.19; 95%CI, 1.02–1.40) compared to those with MED and NSW. We found that both eating duration and shift work independently and jointly increased the prevalence of accelerated biological aging among U.S. workers.

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Publication Details

Journal
The journal of nutrition health & aging
Published
2026-03-28
DOI
https://doi.org/10.1016/j.jnha.2026.100831
Primary Topic
Sleep and Work-Related Fatigue
Type
article
Field-Weighted Citation Impact
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article

Associations of eating duration and shift work with accelerated biological aging among U.S. workers

Xuyuehe Ren, Liwei Chen, Jian Li
The journal of nutrition health & aging
Sleep and Work-Related Fatigue
article

Associations of eating duration and shift work with accelerated biological aging among U.S. workers

Xuyuehe Ren, Liwei Chen, Jian Li
article en

Abstract

Eating duration and shift work can both influence circadian rhythm, which is crucial for longevity. However, their joint associations on the aging process remain unexplored. We aimed to examine the independent and joint associations of eating duration and shift work with accelerated biological aging (ABA) in a representative sample of U.S. workers. A cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES), 2005–2010 and 2017–2018. We included 10,211, 10,062, and 9,572 workers in eating duration, shift work, and joint association analyses, respectively. Time of eating occasions were accessed by 24-h dietary recalls, and eating duration was categorized as short (SED: <12 h), moderate (MED: 12−14 h; reference), and long eating duration (LED: ≥14 h). Work schedules were self-reported and classified as shift work (SW) vs. non-shift work (NSW). ABA was defined as biological age exceeding chronological age using the residual method. Adjusted Poisson regressions were used to examine the independent and joint associations. Eating duration had a U-shaped relationship with ABA. SED (PR, 1.13; 95%CI, 1.01–1.27) and LED (PR, 1.07; 95%CI, 0.96–1.19) were associated with higher prevalences of ABA compared to MED. SW was independently associated with a higher prevalence of ABA (PR, 1.10; 95%CI, 1.01–1.20). Workers with both SED and SW had an increased prevalence of ABA (PR, 1.19; 95%CI, 1.02–1.40) compared to those with MED and NSW. We found that both eating duration and shift work independently and jointly increased the prevalence of accelerated biological aging among U.S. workers.

The journal of nutrition health & agingVol. 30(5)
University of California, Los Angeles (US)
Zero hunger
Openalex Percentile: Top 7%
Sleep and Work-Related Fatigue
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