| dc.description.abstract | Background: Human biomonitoring is a useful tool to assess contaminant exposure levels in human populations. Several human biomonitoring projects have been established in Canada to measure and report analyte exposure levels. However, these projects often do not include participants from Arctic and subarctic Indigenous communities in the Northwest Territories and Yukon. Thus, to fill a data gap in Canada, biomonitoring projects in the Dehcho and Sahtú regions of the Northwest Territories as well as Old Crow, Yukon were established between 2016 and 2019 to assess contaminant and nutrient exposure status as well as report information related to traditional food diets. Data on traditional food diets is also useful to collect as these diets provide several benefits related to health and well-being. Importantly, identifying exposure levels is the first step in identifying potential sources of exposure, which often include diet for many classes of contaminants. Polychlorinated biphenyl’s (PCB) were among the dozens of analytes measured in these projects. These man-made chemicals are an important chemical to monitor due to their persistent nature and their potential for adverse human health effects. Although production of PCBs has been banned in North America since 1979 and worldwide since 2001, levels of PCBs are still detected in human biological samples. This research aims to report levels of PCB exposure in participating regions of the biomonitoring project described above as well as identify potential determinants and sources of these chemicals.
Methods Biomonitoring clinics were set up in communities within the Dehcho and Sahtú regions of the Northwest Territories and in the community of Old Crow, Yukon. At these clinics, select biological samples were collected, including plasma for POP analysis. Surveys and questionnaires were also administered to collect demographic and dietary data. Using the analytical and survey data collected from these biomonitoring projects, statistical analyses were completed to determine if PCB exposure levels were within a normal range, what potential determinants were associated with exposure levels, and if traditional food consumption was a potential source of PCB concentration level. Plasma samples (n=328) collected from these biomonitoring projects were used to develop simple linear regression models to identify potential determinants of PCBs between log-normalized PCB exposure levels and BMI, omega-3 fatty acid level and age. Independent samples T-tests were used to determine associations between PCB concentration level and binary variables including sex and smoking status. ANOVA multiple comparisons were used to assess if levels appeared elevated between the study regions. To determine if levels were within a normal range, comparisons were completed between exposure levels reported in the First Nation Biomonitoring Initiative (FNBI) and the Canadian Health Measures Survey (CHMS). Food frequency questionnaire (FFQ) data were used to report consumption patterns in participating regions. To identify if traditional food was associated with PCB biomarkers, multiple linear regression models were developed using FFQ data and PCB exposure levels, while adjusting for age and sex.
Results: Among those participants below the age of 60 in all the study regions, all PCB biomarkers were within the normal range observed in Canada (i.e., below or similar to the CHMS or FNBI levels). As well, in Old Crow, those participants over 60 also had all PCB levels within the normal range. In contrast, for participants over 60 years in the Dehcho and Sahtú, levels began to appear outside of the normal range. For example, in the Dehcho, PCB187 and PCB201 appeared elevated compared to CHMS levels for those over 60 years. In the Sahtú, Arochlor 1260, PCB146, PCB153, PCB163, PCB170, PCB178, PCB180, PCB183, PCB187, PCB194, PCB201 and PCB203 appeared elevated compared to CHMS levels for those over 60 years. As well in the Sahtú, Arochlor 1260 was observed at an elevated level compared to the FNBI. When results were stratified by sex, PCB levels were largely observed within the normal range. The main exception was for male participants in the Sahtú, for whom PCB187 was elevated compared to the CHMS but not the FNBI.
Biomarkers of PCBs were all strongly correlated (p<0.05) with one another. As well, age and PCB exposure level were strongly correlated (p<0.05) in all PCB congeners and regions. Omega-3 fatty acids were also correlated (p<0.05) with PCB congeners, but less so compared to age. Sahtú PCB levels appeared highest compared to the Dehcho and Old Crow regions, with geometric mean differences ranging between 1.5 (PCB163) to 2.9-fold (PCB153) among the study regions. In the Dehcho, men had higher PCB levels (up to 1.98-fold) compared to women for Arochlor 1260, PCB138, PCB153, PCB170, PCB180 and ∑PCB138,153,180. Some associations (p<0.05) were found between BMI and higher PCB exposure levels in Old Crow and Sahtú, but not for the Dehcho region. In the Dehcho and Sahtú regions, those who reported smoking in the last 24 hours had lower GM PCB levels compared to those who had not reported smoking. In contrast, Old Crow participants who reported smoking had generally higher PCB levels than those that did not. When PCB biomarkers were pooled across regions, some traditional foods were associated with higher PCB exposure levels. For example, among the traditional foods that were included in the multiple linear regression models, controlling for age and sex, lake trout (=0.152), fish eating waterfowl including black duck, fish duck, long-tailed duck, pintail, swan, canvasback, white-winged scoter, and mallard (=0.136), as well as game birds including spruce grouse, sharp-tailed grouse, ptarmigan, black duck, mallard, fish duck, oldsquaw (long-tailed duck), wigeon, speckle belly goose, canvasback, Canada goose, snow goose, pintail, white-winged scoter, and swan (=0.159) were associated (p<0.05) with increased PCB exposure levels of ∑PCB138,153,180.
Conclusions: These results provide baseline PCB exposure levels in the Dehcho and Sahtú regions of the Northwest Territories and Old Crow, Yukon. PCB levels were similar if not lower to the CHMS and FNBI in younger participants but, for older participants, especially in the Sahtú region, PCB levels appeared elevated to the CHMS. As well, some demographic (e.g., age, sex, region), lifestyle (e.g., smoking status) and dietary variables (e.g., lake trout and bird consumption) were identified as determinants and potential sources of PCBs; but the strength of those links varied by region. On a broad scale, these results are important in identifying temporal trends of contaminants, as several initiatives were established to protect environmental and human health from several contaminants. On a small scale, these results offer guidance for further localized monitoring efforts related to environmental exposure sources or pathways including traditional diet, for these communities. Further work is required to draw more conclusions about traditional food consumption and PCB exposure levels. | en |
