ORIGINAL PAPER
Association of physical activity with insulin resistance in shift workers: data from NHANES
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Qin Li 1
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1
The Fifth People’s Hospital of Jinan, Jinan, Shandong, China (Department of Endocrinology)
 
2
The Fifth People’s Hospital of Jinan, Jinan, Shandong, China (Department of Geriatric Endocrinology)
 
3
The Fifth People’s Hospital of Jinan, Jinan, Shandong, China (Intensive Care Unit)
 
 
Online publication date: 2026-11-12
 
 
Corresponding author
Yang Li   

The Fifth People’s Hospital of Jinan, Intensive Care Unit, No. 24297, Jingshi Road, Huaiyin District, 250000 Jinan, Shandong Province, China
 
 
 
HIGHLIGHTS
  • Shift work raises 4 insulin resistance (IR) surrogates; triglycerides/high-density lipoprotein-cholesterol ratio association remains robust.
  • Four IR surrogate indices were used, with covariate adjustment specific to each index.
  • Day shift combined with exercise synergistically lowers homeostatic model assessment of IR (HOMA-IR) and the triglyceride-glucose body mass index.
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ABSTRACT
Objectives: To investigate the association between shift work patterns and insulin resistance (IR) surrogates, and the potential moderating role of physical activity (PA). Material and Methods: This cross-sectional study analysed 992 adults from National Health and Nutrition Examination Survey (NHANES) 2017–2018. Participants were categorized into daytime and variable shift workers. Four IR surrogates were evaluated. Weighted linear regression models adjusted for demographics, anthropometrics, lifestyle, and clinical covariates assessed associations between work schedules, PA, and metabolic outcomes. Sensitivity analyses excluded individuals with diabetes. Results: Compared to daytime workers, variable shift workers had significantly higher triglycerides, lower high-density lipoprotein-cholesterol (HDL-C), and elevated levels of all IR surrogates. Physical activity was inversely associated with triglyceride-glucose – waist circumference (TyG-WC) and body mass index (TyG-BMI). The most pronounced combined beneficial association was observed for daytime schedules combined with sufficient PA on homeostasis model assessment of IR (HOMA‑IR) and TyG-BMI. However, when stratified, work-related PA correlated positively with these indices, while leisure-time PA exhibited stronger inverse associations; transportation PA showed no association. Conclusions: Variable shift work and insufficient PA are associated with adverse metabolic profiles and elevated IR. As a modifiable factor, PA may help mitigate metabolic risk in shift-working populations. Int J Occup Med Environ Health. 2026;39(5)
eISSN:1896-494X
ISSN:1232-1087
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