Sex-specific and dose-response relationships of urinary cobalt and molybdenum levels with glucose levels and insulin resistance in U.S. adults

Yang，Jingli1; Lu，Yongbin1; Bai，Yana1,2; Cheng，Zhiyuan3

2022-02-01

10.1016/j.jes.2021.10.023

Journal of Environmental Sciences   影响因子和分区

1001-0742

1878-7320

Growing studies have linked metal exposure to diabetes risk. However, these studies had inconsistent results. We used a multiple linear regression model to investigate the sex-specific and dose-response associations between urinary metals (cobalt (Co) and molybdenum (Mo)) and diabetes-related indicators (fasting plasma glucose (FPG), hemoglobin A1c (HbA1c), homeostasis model assessment for insulin resistance (HOMA-IR), and insulin) in a cross-sectional study based on the United States National Health and Nutrition Examination Survey. The urinary metal concentrations of 1423 eligible individuals were stratified on the basis of the quartile distribution. Our results showed that the urinary Co level in males at the fourth quartile (Q4) was strongly correlated with increased FPG (β = 0.61, 95% CI: 0.17–1.04), HbA1c (β = 0.31, 95% CI: 0.09–0.54), insulin (β = 8.18, 95% CI: 2.84–13.52), and HOMA–IR (β = 3.42, 95% CI: 1.40–5.44) when compared with first quartile (Q1). High urinary Mo levels (Q4 vs. Q1) were associated with elevated FPG (β = 0.46, 95% CI: 0.17–0.75) and HbA1c (β = 0.27, 95% CI: 0.11–0.42) in the overall population. Positive linear dose-response associations were observed between urinary Co and insulin (P = 0.513) and HOMA–IR (P = 0.736) in males, as well as a positive linear dose-response relationship between urinary Mo and FPG (P = 0.826) and HbA1c (P = 0.376) in the overall population. Significant sex-specific and dose-response relationships were observed between urinary metals (Co and Mo) and diabetes-related indicators, and the potential mechanisms should be further investigated.

Bayesian kernel machine regression Cobalt Diabetes Insulin resistance Molybdenum

SCI ; EI

英语

其他

National Institutes of Health ( U.S.) - (NIH)[1R01ES029082]

Environmental Sciences & Ecology

Environmental Sciences

WOS:000797162500005

SCIENCE PRESS

20220511582532

Cobalt ; Glucose ; Insulin ; Linear regression

Biological Materials and Tissue Engineering:461.2 ; Molybdenum and Alloys:543.3 ; Nonferrous Metals and Alloys excluding Alkali and Alkaline Earth Metals:549.3 ; Organic Compounds:804.1 ; Mathematical Statistics:922.2

2-s2.0-85123848378

Scopus

1.College of Earth and Environmental Sciences,Lanzhou University,Lanzhou,730000,China
2.Department of Epidemiology and Statistics,School of Public Health,Lanzhou University,Lanzhou,730000,China
3.School of Public Health and Emergency Management,Southern University of Science and Technology,Shenzhen,518055,China

Yang，Jingli,Lu，Yongbin,Bai，Yana,et al. Sex-specific and dose-response relationships of urinary cobalt and molybdenum levels with glucose levels and insulin resistance in U.S. adults[J]. Journal of Environmental Sciences,2022,124:42-49.

Yang，Jingli,Lu，Yongbin,Bai，Yana,&Cheng，Zhiyuan.(2022).Sex-specific and dose-response relationships of urinary cobalt and molybdenum levels with glucose levels and insulin resistance in U.S. adults.Journal of Environmental Sciences,124,42-49.

Yang，Jingli,et al."Sex-specific and dose-response relationships of urinary cobalt and molybdenum levels with glucose levels and insulin resistance in U.S. adults".Journal of Environmental Sciences 124(2022):42-49.