Background: Systematic documentation of morbidity with exposure assessment in a large group of lead (Pb)-exposed workers in China.
Methods: Using the cluster sampling method, Pb-exposed workers were recruited from a factory in the Henan Province, China. The morbidity information and blood lead concentration (BLC) from each worker were collected. Relationships between the two sets of data were analyzed using the logistic regression and restricted cubic spline (RCS) models.
Results: Among the 4538 recruited workers, there were 2780 males and 1758 females, with a median age of 34 years old, and BLC ranging from 7.70 to 722.70 μg/l. Among them, 1247 (27.4%) had multiple morbidities (comorbidity). Those with the highest BLC showed a 1.79-fold (significant) increase in comorbidities compared to those with the lowest BLC (95% confidence interval = 1.43, 2.25; p < 0.001). In addition, the comorbidities exhibited a BLC dose-response relationship (p < 0.001), after adjusting for potential confounding factors. The RCS curve analysis revealed a nonlinear relationship between BLC and risk of comorbidity (p-overall < 0.001, and p-nonlinear < 0.001). Sensitivity analysis further confirmed the dose-response relationship between BLC and the risk of developing comorbidities. Additionally, the data indicate that female workers were more susceptible to comorbidities.
Conclusion: Our study demonstrates that comorbidity was prevalent and was dose-dependent among lead exposed workers.
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http://dx.doi.org/10.1186/s12889-025-21436-w | DOI Listing |
BMC Public Health
January 2025
School of Public Health, Xinjiang Medical University, Urumqi, 830017, China.
Background: Systematic documentation of morbidity with exposure assessment in a large group of lead (Pb)-exposed workers in China.
Methods: Using the cluster sampling method, Pb-exposed workers were recruited from a factory in the Henan Province, China. The morbidity information and blood lead concentration (BLC) from each worker were collected.
Indian J Clin Biochem
October 2024
Department of Biochemistry, Regional Occupational Health Centre (Southern), Indian Council of Medical Research, ICMR Complex, Kannamangala Post, Poojanahalli Road Devanahalli Taluk, Bengaluru, Karnataka 562110 India.
This study investigated the diagnostic accuracy (DA) and clinical utility (CU) of DNA methylation (5 methylcytosine) in occupational Pb-exposure from Pb based industry. Blood Lead levels (BLLs) were measured using the ICP-OES method. The total DNA methylation (5-mC) was quantified using ELISA method.
View Article and Find Full Text PDFEcotoxicol Environ Saf
September 2024
Department of Occupational and Environmental Health, School of Public Health, Shandong Second Medical University, Weifang, Shandong Province, China. Electronic address:
Background: Previous studies reported that lead (Pb) exposure induced adverse health effects at high exposure concentrations, however, there have been limited data on sensitivity comparisons among different health outcomes at low blood Pb levels.
Objectives: To compare sensitivity between blood parameters and a genotoxic biomarker among workers exposed to low blood Pb levels (< 20 µg/dl), and to estimate a benchmark dose (BMD).
Methods: Pb-exposed workers were recruited from a lead-acid storage battery plant.
Biol Trace Elem Res
June 2024
Department of Biochemistry, Regional Occupational Health Centre (Southern), Indian Council of Medical Research, ICMR Complex, Kannamangala Post, Poojanahalli Road Devanahalli Taluk, Bengaluru, 562110, Karnataka, India.
S-Adenosylmethionine (SAM) and S-adenosylhomocysteine (SAH) and the ratio of SAM and SAH in Pb-exposed workers need to be assessed. In this study, we investigated the effects of Pb exposure on SAM, SAH, and methylation index (MI) in Pb-exposed workers with contemplation of lifestyle factors. Blood lead levels (BLLs), SAM, SAH, MI, and lifestyle factors were assessed in 338 male Pb-exposed workers.
View Article and Find Full Text PDFToxics
June 2024
State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
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