Publications by authors named "J A Siemiatycki"

Background: Numerous agents in the workplace are suspected of impairing fetal growth. To date, no epidemiological studies have specifically described the occupational exposome during pregnancy.

Objective: The objectives were to determine maternal occupational exposome profiles and study their associations with intrauterine growth characteristics measured by small for gestational age (SGA), birthweight (BW), and head circumference (HC).

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Background: Increased lung-cancer risks for low socioeconomic status (SES) groups are only partially attributable to smoking habits. Little effort has been made to investigate the persistent risks related to low SES by quantification of potential biases.

Methods: Based on 12 case-control studies, including 18 centers of the international SYNERGY project (16,550 cases, 20,147 controls), we estimated controlled direct effects (CDE) of SES on lung cancer via multiple logistic regression, adjusted for age, study center, and smoking habits, and stratified by sex.

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Radiofrequency electromagnetic fields (RF-EMF, 100 kHz to 300 GHz) are classified by IARC as possibly carcinogenic to humans (Group 2B). This study evaluates the potential association between occupational RF-EMF exposure and brain tumor risk, utilizing for the first time, a RF-EMF job-exposure matrix (RF-JEM) developed in the multi-country INTEROCC case-control study. Cumulative and time-weighted average (TWA) occupational RF-EMF exposures were estimated for study participants based on lifetime job histories linked to the RF-JEM using three different methods: (1) by considering RF-EMF intensity among all exposed jobs, (2) by considering RF-EMF intensity among jobs with an exposure prevalence ≥ the median exposure prevalence of all exposed jobs, and (3) by considering RF-EMF intensity of jobs of participants who reported RF-EMF source use.

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Article Synopsis
  • The study assessed how different dimensions of the quantitative job-exposure matrix (SYN-JEM) impact the correlation between silica exposure and lung cancer risk, using data from 16,901 lung cancer cases and 20,965 controls from global studies.
  • The analysis revealed that including all dimensions of SYN-JEM resulted in the best fit for predicting lung cancer odds, while omitting job-specific estimates led to a poor model fit.
  • The findings suggest that to accurately model the exposure-response relationship between silica and lung cancer, it’s crucial to use all relevant factors, including job specifics, time, and region in the analysis.
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Background: While much research has been done to identify individual workplace lung carcinogens, little is known about joint effects on risk when workers are exposed to multiple agents.

Objectives: We investigated the pairwise joint effects of occupational exposures to asbestos, respirable crystalline silica, metals (i.e.

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