Risk-Benefit Modeling to Guide Health Research in Collaboration with Great Lakes Fish Consuming Native American Communities

It is well documented that fish consumption imparts both health risks and benefits. Furthermore, fish harvest and consumption are an essential part of Great Lakes Native American cultures. Quantitative models that compare risk and benefits to potential consumption scenarios can help guide future hea...

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Published in:Journal of Great Lakes Research
Main Authors: Dellinger, Matthew J., Anguzu, Ronald, Pingatore, Noel, Ripley, Michael
Format: Text
Language:English
Published: 2020
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7945301/
http://www.ncbi.nlm.nih.gov/pubmed/33716391
https://doi.org/10.1016/j.jglr.2020.08.003
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spelling ftpubmed:oai:pubmedcentral.nih.gov:7945301 2023-05-15T13:28:42+02:00 Risk-Benefit Modeling to Guide Health Research in Collaboration with Great Lakes Fish Consuming Native American Communities Dellinger, Matthew J. Anguzu, Ronald Pingatore, Noel Ripley, Michael 2020-08-24 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7945301/ http://www.ncbi.nlm.nih.gov/pubmed/33716391 https://doi.org/10.1016/j.jglr.2020.08.003 en eng http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7945301/ http://www.ncbi.nlm.nih.gov/pubmed/33716391 http://dx.doi.org/10.1016/j.jglr.2020.08.003 J Great Lakes Res Article Text 2020 ftpubmed https://doi.org/10.1016/j.jglr.2020.08.003 2021-12-05T01:37:33Z It is well documented that fish consumption imparts both health risks and benefits. Furthermore, fish harvest and consumption are an essential part of Great Lakes Native American cultures. Quantitative models that compare risk and benefits to potential consumption scenarios can help guide future health research as well as consumption advice for potentially sensitive populations. This article presents fish consumption scenarios based on self-reported meal plans constructed by tribal members in eastern upper peninsula and northern lower Michigan Anishinaabe. Two risk-benefit models were applied to these scenarios to estimate the potential neurodevelopmental and cardiovascular risks (either increased or reduced risk) from dioxin-like polychlorinated biphenyls (DL-PCBs), methylmercury (MeHg), and omega-3 polyunsaturated fatty acids (n3-PUFA). All scenarios except maximum exposure estimates (i.e. 25(th)–75(th) percentile MeHg, DL-PCB, and n3-PUFA intakes) predicted reduced cardiovascular risk and improved neurodevelopmental outcomes. The greatest predicted benefits (adjusted for risks) occurred at the 75(th) percentile intake of MeHg, DL-PCB, and n3-PUFA scenarios: 5.0 visual recall memory (VRM) and 4.41 Intelligence Quotient (IQ) benefits, and 28% reduced risk of cardio-vascular disease. Scenarios based on maximum self-reported intake, however, predicted health detriments. These results suggest that most fish consumption scenarios as constructed in collaboration with Native American communities could impart health benefits despite the presence of contaminants. However, high-end consumption estimates warrant caution as well as the need for well-crafted advice. Potential benefits further underscore the value of reducing contamination burdens in Great Lakes fisheries. Future priorities of ongoing contamination monitoring and health research are discussed. Text anishina* PubMed Central (PMC) Journal of Great Lakes Research 46 6 1702 1708
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Article
spellingShingle Article
Dellinger, Matthew J.
Anguzu, Ronald
Pingatore, Noel
Ripley, Michael
Risk-Benefit Modeling to Guide Health Research in Collaboration with Great Lakes Fish Consuming Native American Communities
topic_facet Article
description It is well documented that fish consumption imparts both health risks and benefits. Furthermore, fish harvest and consumption are an essential part of Great Lakes Native American cultures. Quantitative models that compare risk and benefits to potential consumption scenarios can help guide future health research as well as consumption advice for potentially sensitive populations. This article presents fish consumption scenarios based on self-reported meal plans constructed by tribal members in eastern upper peninsula and northern lower Michigan Anishinaabe. Two risk-benefit models were applied to these scenarios to estimate the potential neurodevelopmental and cardiovascular risks (either increased or reduced risk) from dioxin-like polychlorinated biphenyls (DL-PCBs), methylmercury (MeHg), and omega-3 polyunsaturated fatty acids (n3-PUFA). All scenarios except maximum exposure estimates (i.e. 25(th)–75(th) percentile MeHg, DL-PCB, and n3-PUFA intakes) predicted reduced cardiovascular risk and improved neurodevelopmental outcomes. The greatest predicted benefits (adjusted for risks) occurred at the 75(th) percentile intake of MeHg, DL-PCB, and n3-PUFA scenarios: 5.0 visual recall memory (VRM) and 4.41 Intelligence Quotient (IQ) benefits, and 28% reduced risk of cardio-vascular disease. Scenarios based on maximum self-reported intake, however, predicted health detriments. These results suggest that most fish consumption scenarios as constructed in collaboration with Native American communities could impart health benefits despite the presence of contaminants. However, high-end consumption estimates warrant caution as well as the need for well-crafted advice. Potential benefits further underscore the value of reducing contamination burdens in Great Lakes fisheries. Future priorities of ongoing contamination monitoring and health research are discussed.
format Text
author Dellinger, Matthew J.
Anguzu, Ronald
Pingatore, Noel
Ripley, Michael
author_facet Dellinger, Matthew J.
Anguzu, Ronald
Pingatore, Noel
Ripley, Michael
author_sort Dellinger, Matthew J.
title Risk-Benefit Modeling to Guide Health Research in Collaboration with Great Lakes Fish Consuming Native American Communities
title_short Risk-Benefit Modeling to Guide Health Research in Collaboration with Great Lakes Fish Consuming Native American Communities
title_full Risk-Benefit Modeling to Guide Health Research in Collaboration with Great Lakes Fish Consuming Native American Communities
title_fullStr Risk-Benefit Modeling to Guide Health Research in Collaboration with Great Lakes Fish Consuming Native American Communities
title_full_unstemmed Risk-Benefit Modeling to Guide Health Research in Collaboration with Great Lakes Fish Consuming Native American Communities
title_sort risk-benefit modeling to guide health research in collaboration with great lakes fish consuming native american communities
publishDate 2020
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7945301/
http://www.ncbi.nlm.nih.gov/pubmed/33716391
https://doi.org/10.1016/j.jglr.2020.08.003
genre anishina*
genre_facet anishina*
op_source J Great Lakes Res
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7945301/
http://www.ncbi.nlm.nih.gov/pubmed/33716391
http://dx.doi.org/10.1016/j.jglr.2020.08.003
op_doi https://doi.org/10.1016/j.jglr.2020.08.003
container_title Journal of Great Lakes Research
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