Associations of Eating Duration and Shift Work with Accelerated Biological Aging Among U.S. Workers
Peer Reviewed
-
2026/05/01
File Language:
English
Details
-
Journal Article:Journal of Nutrition, Health and Aging
-
Personal Author:
-
Description:Objectives: 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. Design and setting: A cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES), 2005-2010 and 2017-2018. Participants: We included 10,211, 10,062, and 9,572 workers in eating duration, shift work, and joint association analyses, respectively. Measurements: 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. Results: 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. Conclusions: We found that both eating duration and shift work independently and jointly increased the prevalence of accelerated biological aging among U.S. workers. Description provided by NIOSH
-
Subjects:
-
Keywords:
-
Source:J Nutr Health Aging 2026; 30(5):100831
-
ISSN:1279-7707
-
Document Type:
-
Funding:
-
Genre:
-
Place as Subject:
-
CIO:
-
Topic:
-
Location:
-
Pages in Document:5 pdf pages
-
Volume:30
-
NIOSHTIC Number:nn:20071621
-
Contact Point Address:Jian Li, Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, United States of America
-
Email:jianli2019@ucla.edu
-
Federal Fiscal Year:2026
-
Performing Organization:University of California Los Angeles
-
Peer Reviewed:True
-
Start Date:20050701
-
End Date:20270630
-
Download URL:
-
File Type:
-
Collection(s):
-
Main Document Checksum:urn:sha-512:bb119d42429ffe8f7dd81059d043d41a4096862966aa1e4a80ac36391241843272bcfbd8d5ebb1564c94c16d3efbb3d683ee45bc0908de8952c7a2ee32948e7d
File Language:
English
CDC STACKS serves as an archival repository of CDC-published products including
scientific findings, journal articles, guidelines, recommendations, or other public health information authored or
co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
You May Also Like