IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i22p4560-d288204.html
   My bibliography  Save this article

Links between Cognitive Status and Trace Element Levels in Hair for an Environmentally Exposed Population: A Case Study in the Surroundings of the Estarreja Industrial Area

Author

Listed:
  • Marina M. S. Cabral Pinto

    (Geobiotec Research Centre, Department of Geosciences, University of Aveiro, 3810-193 Aveiro, Portugal)

  • Paula Marinho-Reis

    (Instituto de Ciências da Terra, University of Minho, 4710–057 Braga, Portugal)

  • Agostinho Almeida

    (Laboratory of Applied Chemistry, Department of Chemical Sciences, Faculty of Pharmacy, LAQV/REQUIMTE, Porto University, 4050-313 Porto, Portugal)

  • Edgar Pinto

    (Laboratory of Applied Chemistry, Department of Chemical Sciences, Faculty of Pharmacy, LAQV/REQUIMTE, Porto University, 4050-313 Porto, Portugal)

  • Orquídia Neves

    (CERENA, DECivil, Instituto Superior Técnico, University of Lisbon, 1049-001 Lisbon, Portugal)

  • Manuela Inácio

    (Geobiotec Research Centre, Department of Geosciences, University of Aveiro, 3810-193 Aveiro, Portugal)

  • Bianca Gerardo

    (Center for Research in Neuropsychology and Cognitive and Behavioral Intervention (CINEICC), University of Coimbra, 3030-548 Coimbra, Portugal)

  • Sandra Freitas

    (Center for Research in Neuropsychology and Cognitive and Behavioral Intervention (CINEICC), University of Coimbra, 3030-548 Coimbra, Portugal)

  • Mário R. Simões

    (Center for Research in Neuropsychology and Cognitive and Behavioral Intervention (CINEICC), University of Coimbra, 3030-548 Coimbra, Portugal)

  • Pedro A. Dinis

    (MARE—Marine and Environmental Sciences Centre, Department of Earth Sciences, University of Coimbra, 3030-790 Coimbra, Portugal)

  • Luísa Diniz

    (Laboratory of Applied Chemistry, Department of Chemical Sciences, Faculty of Pharmacy, LAQV/REQUIMTE, Porto University, 4050-313 Porto, Portugal)

  • Eduardo Ferreira da Silva

    (Geobiotec Research Centre, Department of Geosciences, University of Aveiro, 3810-193 Aveiro, Portugal)

  • Paula I. Moreira

    (CNC—Center for Neuroscience and Cell Biology, University of Coimbra and Institute of Physiology, Faculty of Medicine, University of Coimbra, 3030-548 Coimbra, Portugal)

Abstract

In the present study, trace elements (TE) levels were evaluated in scalp hair along the continuum from healthy subjects (HS) to patients suffering from subjective memory concerns (SMC), and/or mild cognitive impairment (MCI), and those with already installed dementia (DEM) in order to: (i) assess the effects of environmental and lifestyle factors on TE concentrations and (ii) evaluate the analyzed elements as possible diagnostic biomarkers for the disease. The study involved 79 mainly permanent residents, >55 years old, from the city of Estarreja (northern Portugal), a former industrial area. The health status of the participants was assessed by means of a complete socio-demographic questionnaire and through cognitive screening tests, namely the Mini-Mental State Examination (MMSE). The test scores were categorized and used in the statistical analysis. Hair samples were collected and analyzed by inductively coupled plasma-mass spectrometry (ICP-MS) ICP-MS for selected TE. Dementia appears to be associated with higher age, the female gender, lower education level, and longer residence time in the study area. In addition, most of the participants diagnosed with dementia frequently consume home-grown foodstuffs, some irrigated with contaminated well water. The calculation of the TE enrichment factors of soil samples collected in kitchen gardens/small farms in the vicinity of the Estarreja Chemical Complex (ECC) reinforces the degree of Hg soil contamination in the area, due to anthropogenic sources that can be a source for the population Hg exposure route among others. Mercury levels in hair differed significantly between the four individual groups (HS, SMC, MCI, and DEM), increasing from healthy to dementia participants. Improved diagnostic results can be obtained using hair TE signatures coupled with MMSE scores. This strategy may prove useful for predictive diagnosis in population screening for cognitive impairment.

Suggested Citation

  • Marina M. S. Cabral Pinto & Paula Marinho-Reis & Agostinho Almeida & Edgar Pinto & Orquídia Neves & Manuela Inácio & Bianca Gerardo & Sandra Freitas & Mário R. Simões & Pedro A. Dinis & Luísa Diniz & , 2019. "Links between Cognitive Status and Trace Element Levels in Hair for an Environmentally Exposed Population: A Case Study in the Surroundings of the Estarreja Industrial Area," IJERPH, MDPI, vol. 16(22), pages 1-20, November.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:22:p:4560-:d:288204
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/22/4560/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/22/4560/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Karen Andersen-Ranberg & Lone Vasegaard & Bernard Jeune, 2001. "Dementia Is Not Inevitable," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 56(3), pages 152-159.
    2. Li, Jinhu & Powdthavee, Nattavudh, 2015. "Does more education lead to better health habits? Evidence from the school reforms in Australia," Social Science & Medicine, Elsevier, vol. 127(C), pages 83-91.
    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. Siyoon Kwon & Hyoseob Noh & Il Won Seo & Sung Hyun Jung & Donghae Baek, 2021. "Identification Framework of Contaminant Spill in Rivers Using Machine Learning with Breakthrough Curve Analysis," IJERPH, MDPI, vol. 18(3), pages 1-26, January.
    2. Bianca Gerardo & Marina Cabral Pinto & Joana Nogueira & Paula Pinto & Agostinho Almeida & Edgar Pinto & Paula Marinho-Reis & Luísa Diniz & Paula I. Moreira & Mário R. Simões & Sandra Freitas, 2020. "Associations between Trace Elements and Cognitive Decline: An Exploratory 5-Year Follow-Up Study of an Elderly Cohort," IJERPH, MDPI, vol. 17(17), pages 1-18, August.
    3. Luísa Diniz & Gelson Carlos & Carmelita Miranda & Pedro Dinis & Rosa Marques & Fernando Tavares Rocha & Eduardo Ferreira da Silva & Agostinho Almeida & Marina Cabral Pinto, 2024. "Soil Geochemical Mapping of the Sal Island (Cape Verde): Ecological and Human Health Risk Assessment," Land, MDPI, vol. 13(8), pages 1-17, July.
    4. Huan Li & Liyuan Chai & Zhihui Yang & Weichun Yang & Qi Liao & Zhe Cao & Yanchun Peng, 2020. "Systematic Assessment of Health Risk from Metals in Surface Sediment of the Xiangjiang River, China," IJERPH, MDPI, vol. 17(5), pages 1-17, March.

    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. Chen, Yuanyuan & Wang, Haining & Cheng, Zhiming & Smyth, Russell, 2023. "Education and Migrant Health in China," Economic Modelling, Elsevier, vol. 121(C).
    2. Thang Dang, 2018. "Do the more educated utilize more health care services? Evidence from Vietnam using a regression discontinuity design," International Journal of Health Economics and Management, Springer, vol. 18(3), pages 277-299, September.
    3. Setti Rais Ali & Paul Dourgnon & Lise Rochaix, 2018. "Social Capital or Education: What Matters Most to Cut Time to Diagnosis?," Working Papers halshs-01703170, HAL.
    4. Tatjana Begerow & Hendrik Jürges, 2022. "Does compulsory schooling affect health? Evidence from ambulatory claims data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(6), pages 953-968, August.
    5. Stephanie von Hinke, 2022. "Education, Dietary Intakes and Exercise," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(1), pages 214-240, February.
    6. Megan Grubb & Christian R. Vogl, 2019. "Understanding Food Literacy in Urban Gardeners: A Case Study of the Twin Cities, Minnesota," Sustainability, MDPI, vol. 11(13), pages 1-15, July.
    7. Thainá Alves Malhão & Alexandre dos Santos Brito & Rejane Sobrino Pinheiro & Cristiane da Silva Cabral & Thais Medina Coeli Rochel de Camargo & Claudia Medina Coeli, 2016. "Sex Differences in Diabetes Mellitus Mortality Trends in Brazil, 1980-2012," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-11, June.
    8. Grytten, Jostein & Skau, Irene & Sørensen, Rune, 2020. "Who dies early? Education, mortality and causes of death in Norway," Social Science & Medicine, Elsevier, vol. 245(C).
    9. Viinikainen, Jutta & Bryson, Alex & Böckerman, Petri & Kari, Jaana T. & Lehtimäki, Terho & Raitakari, Olli & Viikari, Jorma & Pehkonen, Jaakko, 2022. "Does better education mitigate risky health behavior? A mendelian randomization study," Economics & Human Biology, Elsevier, vol. 46(C).
    10. Ma, Yuanyuan & Nolan, Anne & Smith, James P., 2018. "The value of education to health: Evidence from Ireland," Economics & Human Biology, Elsevier, vol. 31(C), pages 14-25.
    11. Sarah Dahmann & Silke Anger, 2014. "The Impact of Education on Personality: Evidence from a German High School Reform," SOEPpapers on Multidisciplinary Panel Data Research 658, DIW Berlin, The German Socio-Economic Panel (SOEP).
    12. Fu, Hongqiao & Ge, Run & Huang, Jialin & Shi, Xinzheng, 2022. "The effect of education on health and health behaviors: Evidence from the college enrollment expansion in China," China Economic Review, Elsevier, vol. 72(C).
    13. Thi Thao Nguyen & Kim Huong Nguyen & Nicholas Rohde, 2024. "Economic Disparities, Life Events, and the Gender Mental Health Gap," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 174(3), pages 1053-1100, September.
    14. Yi Zeng & Danan Gu & Kenneth C. Land, 2003. "A new method for correcting the underestimation of disabled life expectancy inherent in conventional methods: application to the oldest old in China," MPIDR Working Papers WP-2003-033, Max Planck Institute for Demographic Research, Rostock, Germany.
    15. Dai Binh Tran, 2022. "Health Benefits of Education: Comparative Evidence from Vietnam and Thailand," SAGE Open, , vol. 12(2), pages 21582440221, April.
    16. Barr, Peter B. & Salvatore, Jessica E. & Maes, Hermine & Aliev, Fazil & Latvala, Antti & Viken, Richard & Rose, Richard J. & Kaprio, Jaakko & Dick, Danielle M., 2016. "Education and alcohol use: A study of gene-environment interaction in young adulthood," Social Science & Medicine, Elsevier, vol. 162(C), pages 158-167.
    17. Baltagi, Badi H. & Flores-Lagunes, Alfonso & Karatas, Haci M., 2023. "The effect of higher education on Women's obesity and smoking: Evidence from college openings in Turkey," Economic Modelling, Elsevier, vol. 123(C).
    18. Zeng Yi & Gu Danan & Kenneth Land, 2004. "A new method for correcting under-estimation of disabled life expectancy and an application to the chinese oldest-old," Demography, Springer;Population Association of America (PAA), vol. 41(2), pages 335-361, May.
    19. Yanwen Long & Changli Jia & Xiaoxia Luo & Yufeng Sun & Wenjing Zuo & Yibo Wu & Yunchou Wu & Ayidana Kaierdebieke & Zhi Lin, 2022. "The Impact of Higher Education on Health Literacy: A Comparative Study between Urban and Rural China," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    20. Titus J. Galama & Adriana Lleras-Muney & Hans van Kippersluis, 2018. "The Effect of Education on Health and Mortality: A Review of Experimental and Quasi-Experimental Evidence," NBER Working Papers 24225, National Bureau of Economic Research, Inc.

    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:16:y:2019:i:22:p:4560-:d:288204. 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.