IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i9p4528-d542676.html
   My bibliography  Save this article

Amyotrophic Lateral Sclerosis Risk, Family Income, and Fish Consumption Estimates of Mercury and Omega-3 PUFAs in the United States

Author

Listed:
  • Hannah I. Hoffman

    (Department of Biological Sciences, Dartmouth College, Hanover, NH 03755, USA)

  • Walter G. Bradley

    (Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL 33146, USA)

  • Celia Y. Chen

    (Department of Biological Sciences, Dartmouth College, Hanover, NH 03755, USA)

  • Erik P. Pioro

    (ALS and Neuromuscular Disease Center, Cleveland Clinic, Cleveland, OH 44195, USA)

  • Elijah W. Stommel

    (Department of Neurology, Geisel School of Medicine, Lebanon, NH 03756, USA)

  • Angeline S. Andrew

    (Department of Neurology, Geisel School of Medicine, Lebanon, NH 03756, USA)

Abstract

Most amyotrophic lateral sclerosis (ALS) cases are considered sporadic, without a known genetic basis, and lifestyle factors are suspected to play an etiologic role. We previously observed increased risk of ALS associated with high nail mercury levels as an exposure biomarker and thus hypothesized that mercury exposure via fish consumption patterns increases ALS risk. Lifestyle surveys were obtained from ALS patients ( n = 165) and n = 330 age- and sex-matched controls without ALS enrolled in New Hampshire, Vermont, or Ohio, USA. We estimated their annual intake of mercury and omega-3 polyunsaturated fatty acid (PUFA) via self-reported seafood consumption habits, including species and frequency. In our multivariable model, family income showed a significant positive association with ALS risk ( p = 0.0003, adjusted for age, sex, family history, education, and race). Neither the estimated annual mercury nor omega-3 PUFA intakes via seafood were associated with ALS risk. ALS incidence is associated with socioeconomic status; however, consistent with a prior international study, this relationship is not linked to mercury intake estimated via fish or seafood consumption patterns.

Suggested Citation

  • Hannah I. Hoffman & Walter G. Bradley & Celia Y. Chen & Erik P. Pioro & Elijah W. Stommel & Angeline S. Andrew, 2021. "Amyotrophic Lateral Sclerosis Risk, Family Income, and Fish Consumption Estimates of Mercury and Omega-3 PUFAs in the United States," IJERPH, MDPI, vol. 18(9), pages 1-10, April.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:9:p:4528-:d:542676
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/9/4528/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/9/4528/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(3), pages 199-236, July.
    2. Dana K. Sackett & W. Gregory Cope & James A. Rice & D. Derek Aday, 2013. "The Influence of Fish Length on Tissue Mercury Dynamics: Implications for Natural Resource Management and Human Health Risk," IJERPH, MDPI, vol. 10(2), pages 1-22, February.
    3. Jane A. Parkin Kullmann & Roger Pamphlett, 2018. "A Comparison of Mercury Exposure from Seafood Consumption and Dental Amalgam Fillings in People with and without Amyotrophic Lateral Sclerosis (ALS): An International Online Case-Control Study," IJERPH, MDPI, vol. 15(12), pages 1-14, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Katya Peycheva & Veselina Panayotova & Rositsa Stancheva & Lubomir Makedonski & Albena Merdzhanova & Nicola Cicero & Vincenzo Parrino & Francesco Fazio, 2021. "Trace Elements and Omega-3 Fatty Acids of Wild and Farmed Mussels ( Mytilus galloprovincialis ) Consumed in Bulgaria: Human Health Risks," IJERPH, MDPI, vol. 18(19), pages 1-15, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liu, Yan & Chen, Xi & Yan, Zhijun, 2019. "Depression in the House: The Effects of Household Air Pollution from Solid Fuel Use in China," IZA Discussion Papers 12654, Institute of Labor Economics (IZA).
    2. Noemi Kreif & Richard Grieve & Rosalba Radice & Zia Sadique & Roland Ramsahai & Jasjeet S. Sekhon, 2012. "Methods for Estimating Subgroup Effects in Cost-Effectiveness Analyses That Use Observational Data," Medical Decision Making, , vol. 32(6), pages 750-763, November.
    3. Do, Manh Hung & Nguyen, Trung Thanh & Grote, Ulrike, 2023. "Land consolidation, rice production, and agricultural transformation: Evidence from household panel data for Vietnam," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 157-173.
    4. Federico Biagi & Daniele Bondonio & Alberto Martini, 2015. "Counterfactual Impact Evaluation of Enterprise Support Programmes. Evidence from a Decade of Subsidies to Italian Firm," ERSA conference papers ersa15p1619, European Regional Science Association.
    5. Bono, Pierre-Henri & David, Quentin & Desbordes, Rodolphe & Py, Loriane, 2022. "Metro infrastructure and metropolitan attractiveness," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    6. Zichen Deng & Maarten Lindeboom, 2021. "Early-life Famine Exposure, Hunger Recall and Later-life Health," Tinbergen Institute Discussion Papers 21-054/V, Tinbergen Institute.
    7. Leah Warfield Smith & Randall Lee Rose & Alex R. Zablah & Heath McCullough & Mohammad “Mike” Saljoughian, 2023. "Examining post-purchase consumer responses to product automation," Journal of the Academy of Marketing Science, Springer, vol. 51(3), pages 530-550, May.
    8. Baron, Opher & Callen, Jeffrey L. & Segal, Dan, 2023. "Does the bullwhip matter economically? A cross-sectional firm-level analysis," International Journal of Production Economics, Elsevier, vol. 259(C).
    9. Noémi Kreif & Richard Grieve & M. Zia Sadique, 2013. "Statistical Methods For Cost‐Effectiveness Analyses That Use Observational Data: A Critical Appraisal Tool And Review Of Current Practice," Health Economics, John Wiley & Sons, Ltd., vol. 22(4), pages 486-500, April.
    10. Jonathan Colmer & Ralf Martin & Mirabelle Muûls & Ulrich J. Wagner, 2020. "Does pricing carbon mitigate climate change? Firm-level evidence from the European Union emissions trading scheme," CEP Discussion Papers dp1728, Centre for Economic Performance, LSE.
    11. Jian Jiu Chen & Sai Yin Ho & Wing Man Au & Man Ping Wang & Tai Hing Lam, 2015. "Family Smoking, Exposure to Secondhand Smoke at Home and Family Unhappiness in Children," IJERPH, MDPI, vol. 12(11), pages 1-14, November.
    12. Kube, Roland & von Graevenitz, Kathrine & Löschel, Andreas & Massier, Philipp, 2019. "Do voluntary environmental programs reduce emissions? EMAS in the German manufacturing sector," Energy Economics, Elsevier, vol. 84(S1).
    13. Blackman, Allen, 2013. "Evaluating forest conservation policies in developing countries using remote sensing data: An introduction and practical guide," Forest Policy and Economics, Elsevier, vol. 34(C), pages 1-16.
    14. repec:zbw:rwirep:0170 is not listed on IDEAS
    15. Natalie Carvalho & Naveen Thacker & Subodh S Gupta & Joshua A Salomon, 2014. "More Evidence on the Impact of India's Conditional Cash Transfer Program, Janani Suraksha Yojana: Quasi-Experimental Evaluation of the Effects on Childhood Immunization and Other Reproductive and Chil," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-13, October.
    16. K. Poehlmann & R. Helm & O. Mauroner & J. Auburger, 2021. "Corporate spin-offs’ success factors: management lessons from a comparative empirical analysis with research-based spin-offs," Review of Managerial Science, Springer, vol. 15(6), pages 1767-1796, August.
    17. Renata Baborska & Emilio Hernandez & Emiliano Magrini & Cristian Morales-Opazo, 2020. "The impact of financial inclusion on rural food security experience: A perspective from low-and middle-income countries," Review of Development Finance Journal, Chartered Institute of Development Finance, vol. 10(2), pages 1-18.
    18. Hamilton, Timothy L. & Wichman, Casey J., 2018. "Bicycle infrastructure and traffic congestion: Evidence from DC's Capital Bikeshare," Journal of Environmental Economics and Management, Elsevier, vol. 87(C), pages 72-93.
    19. Elaine M. Wolf & Douglas A. Wolf, 2008. "Mixed Results in a Transitional Planning Program for Alternative School Students," Evaluation Review, , vol. 32(2), pages 187-215, April.
    20. Matilde Cappelletti & Leonardo M. Giuffrida, 2024. "Targeted Bidders in Government Tenders," CESifo Working Paper Series 11142, CESifo.
    21. Chervier, Colas & Le Velly, Gwenolé & Ezzine-de-Blas, Driss, 2019. "When the Implementation of Payments for Biodiversity Conservation Leads to Motivation Crowding-out: A Case Study From the Cardamoms Forests, Cambodia," Ecological Economics, Elsevier, vol. 156(C), pages 499-510.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:9:p:4528-:d:542676. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.