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Temporal trends of contaminants in Arctic human populations.

ABSTRACT: The first Arctic Monitoring and Assessment Programme (AMAP) report was published in 1998 and followed by three assessment reports of human health (AMAP 2003, 2009 and 2015). The focus area of the AMAP reports was to monitor levels of environmental contaminants in the Arctic and to assess the health effects connected with detected levels in Arctic countries. This review gives an overview of temporal trends of contaminants and their health effects in humans of the Arctic based on data published by AMAP, as well as Russian scientific literature. Several time series of 31 contaminants in humans of the Arctic from different cohorts are reported. The lengths of time series and periods covered differ from each other. International restrictions have decreased the levels of most persistent organic pollutants in humans and food webs. Percentage changes for contaminants in human biological matrices (blood samples from children, mothers and males and breast milk samples) for the period of sampling showed declining trends in most of the monitored Arctic locations, with the exception of oxychlordane, hexachlorobenzene (HCB), 2,2',4,4',5,5'-hexabromodiphenyl ether (PBDE153) and perfluorinated compounds (PFCs).

SUBMITTER: Abass K

PROVIDER: S-EPMC6592971 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Temporal trends of contaminants in Arctic human populations.

Abass Khaled K Emelyanova Anastasia A Rautio Arja A

Environmental science and pollution research international 20180825 29

The first Arctic Monitoring and Assessment Programme (AMAP) report was published in 1998 and followed by three assessment reports of human health (AMAP 2003, 2009 and 2015). The focus area of the AMAP reports was to monitor levels of environmental contaminants in the Arctic and to assess the health effects connected with detected levels in Arctic countries. This review gives an overview of temporal trends of contaminants and their health effects in humans of the Arctic based on data published by ...[more]

PMID: 30145756

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Project description:BackgroundLack of access to available cancer clinical trials has been cited as a key factor limiting trial accrual, particularly among medically underserved populations. We examined the trends and factors in clinical trial availability within a major U.S. safety-net hospital system.Materials and methodsWe identified cancer clinical trials activated at the Harold C. Simmons Cancer from 1991 to 2014 and recorded the characteristics of the trials that were and were not activated at the Parkland Health and Hospital System satellite site. We used univariate and multivariate logistic regression to determine the association between trial characteristics and nonactivation status, and chi-square analysis to determine the association between the trial characteristics and the reasons for nonactivation.ResultsA total of 773 trials were identified, of which 152 (20%) were not activated at Parkland. In multivariable analysis, nonactivation at Parkland was associated with trial year, sponsor, and phase. Compared with the 1991-2006 period, clinical trials in the 2007-2014 period were almost eightfold more likely not to be activated at Parkland. The most common reasons for nonactivation at Parkland were an inability to perform the study procedures (27%) and the startup costs (15%).ConclusionOver time, in this single-center setting, a decreasing proportion of cancer clinical trials were available to underserved populations. Trial complexity and costs appeared to account for much of this trend. Efforts to overcome these barriers will be key to equitable access to clinical trials, efficient accrual, and the generalizability of the results.Implications for practiceDespite numerous calls to increase and diversify cancer clinical trial accrual, the present study found that cancer clinical trial activation rates in a safety-net setting for medically underserved populations have decreased substantially in recent years. The principal reasons for study nonactivation were expenses and an inability to perform the study-related procedures, reflecting the increasing costs and complexity of cancer clinical trials. Future efforts need to focus on strategies to mitigate the increasing disparity in access to clinical research and cutting-edge therapies, which also threatens to hinder study accrual, completion rates, and generalizability.

Project description:The Arctic is undergoing unprecedented environmental change. Rapid warming, decline in sea ice extent, increase in riverine input, ocean acidification and changes in primary productivity are creating a crucible for multiple concurrent environmental stressors, with unknown consequences for the entire arctic ecosystem. Here, we synthesized 30 years of data on the stable carbon isotope (δ13 C) signatures in dissolved inorganic carbon (δ13 C-DIC; 1977-2014), marine and riverine particulate organic carbon (δ13 C-POC; 1986-2013) and tissues of marine mammals in the Arctic. δ13 C values in consumers can change as a result of environmentally driven variation in the δ13 C values at the base of the food web or alteration in the trophic structure, thus providing a method to assess the sensitivity of food webs to environmental change. Our synthesis reveals a spatially heterogeneous and temporally evolving δ13 C baseline, with spatial gradients in the δ13 C-POC values between arctic shelves and arctic basins likely driven by differences in productivity and riverine and coastal influence. We report a decline in δ13 C-DIC values (-0.011‰ per year) in the Arctic, reflecting increasing anthropogenic carbon dioxide (CO2 ) in the Arctic Ocean (i.e. Suess effect), which is larger than predicted. The larger decline in δ13 C-POC values and δ13 C in arctic marine mammals reflects the anthropogenic CO2 signal as well as the influence of a changing arctic environment. Combining the influence of changing sea ice conditions and isotopic fractionation by phytoplankton, we explain the decadal decline in δ13 C-POC values in the Arctic Ocean and partially explain the δ13 C values in marine mammals with consideration of time-varying integration of δ13 C values. The response of the arctic ecosystem to ongoing environmental change is stronger than we would predict theoretically, which has tremendous implications for the study of food webs in the rapidly changing Arctic Ocean.

Dataset Information

Temporal trends of contaminants in Arctic human populations.

Publications

Temporal trends of contaminants in Arctic human populations.

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