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Concurrent serum lead levels and cognitive function in older adults

INTRODUCTION: In this study, we investigated the relationship between serum lead levels and cognitive functioning in a sample of older adults in the US. METHOD: Using the National Health and Nutrition Examination Survey (NHANES) 2011–2013, a total of 768 older adults aged ≥60 years were included in...

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Autores principales: Deng, Yu, Lin, Xuechun, Zhou, Jie, Li, Mengchi, Fu, Zhenmei, Song, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149719/
https://www.ncbi.nlm.nih.gov/pubmed/37139533
http://dx.doi.org/10.3389/fnins.2023.1180782
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author Deng, Yu
Lin, Xuechun
Zhou, Jie
Li, Mengchi
Fu, Zhenmei
Song, Dan
author_facet Deng, Yu
Lin, Xuechun
Zhou, Jie
Li, Mengchi
Fu, Zhenmei
Song, Dan
author_sort Deng, Yu
collection PubMed
description INTRODUCTION: In this study, we investigated the relationship between serum lead levels and cognitive functioning in a sample of older adults in the US. METHOD: Using the National Health and Nutrition Examination Survey (NHANES) 2011–2013, a total of 768 older adults aged ≥60 years were included in the analysis. Lead concentrations in the whole blood samples were assessed using mass spectrometry. We used the immediate and delayed memory portions of the Consortium to Establish a Registry for Alzheimer's Disease Word Learning Subtest (CERAD-WL), the Animal Fluency Test (AFT), and the Digit Symbol Substitution Test (DSST) to assess the participants' cognitive performance. Using sample averages and standard deviations (SDs), we computed test-specific and global cognition z-scores. To assess the relationships between the quartiles of serum lead levels and cognitive performance, we built multiple linear regression models and adjusted for covariates, including age, sex, race/ethnicity, education, depressive symptoms, alcohol usage, and body mass index. RESULTS: The average age of the participants was 69.6 (SD 6.6) years. Approximately half of the participants were women (52.6%), non-Hispanic white (52.0%), and had completed at least some college education (51.8%). The average serum lead concentration was 1.8 g/dL (SD 1.6) for these participants. The results of multiple linear regression using individuals in the lowest serum lead quantile as a reference group revealed that the serum lead level was not associated with test-specific (CERAD-WL, AFT, and DSST) or global cognitive z-scores. CONCLUSIONS: In older adults, concurrent serum lead concentration is not related to cognitive performance. Early or continuous lead exposure may exert a greater effect on the etiology of accelerated cognitive decline with old age.
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spelling pubmed-101497192023-05-02 Concurrent serum lead levels and cognitive function in older adults Deng, Yu Lin, Xuechun Zhou, Jie Li, Mengchi Fu, Zhenmei Song, Dan Front Neurosci Neuroscience INTRODUCTION: In this study, we investigated the relationship between serum lead levels and cognitive functioning in a sample of older adults in the US. METHOD: Using the National Health and Nutrition Examination Survey (NHANES) 2011–2013, a total of 768 older adults aged ≥60 years were included in the analysis. Lead concentrations in the whole blood samples were assessed using mass spectrometry. We used the immediate and delayed memory portions of the Consortium to Establish a Registry for Alzheimer's Disease Word Learning Subtest (CERAD-WL), the Animal Fluency Test (AFT), and the Digit Symbol Substitution Test (DSST) to assess the participants' cognitive performance. Using sample averages and standard deviations (SDs), we computed test-specific and global cognition z-scores. To assess the relationships between the quartiles of serum lead levels and cognitive performance, we built multiple linear regression models and adjusted for covariates, including age, sex, race/ethnicity, education, depressive symptoms, alcohol usage, and body mass index. RESULTS: The average age of the participants was 69.6 (SD 6.6) years. Approximately half of the participants were women (52.6%), non-Hispanic white (52.0%), and had completed at least some college education (51.8%). The average serum lead concentration was 1.8 g/dL (SD 1.6) for these participants. The results of multiple linear regression using individuals in the lowest serum lead quantile as a reference group revealed that the serum lead level was not associated with test-specific (CERAD-WL, AFT, and DSST) or global cognitive z-scores. CONCLUSIONS: In older adults, concurrent serum lead concentration is not related to cognitive performance. Early or continuous lead exposure may exert a greater effect on the etiology of accelerated cognitive decline with old age. Frontiers Media S.A. 2023-04-17 /pmc/articles/PMC10149719/ /pubmed/37139533 http://dx.doi.org/10.3389/fnins.2023.1180782 Text en Copyright © 2023 Deng, Lin, Zhou, Li, Fu and Song. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Deng, Yu
Lin, Xuechun
Zhou, Jie
Li, Mengchi
Fu, Zhenmei
Song, Dan
Concurrent serum lead levels and cognitive function in older adults
title Concurrent serum lead levels and cognitive function in older adults
title_full Concurrent serum lead levels and cognitive function in older adults
title_fullStr Concurrent serum lead levels and cognitive function in older adults
title_full_unstemmed Concurrent serum lead levels and cognitive function in older adults
title_short Concurrent serum lead levels and cognitive function in older adults
title_sort concurrent serum lead levels and cognitive function in older adults
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149719/
https://www.ncbi.nlm.nih.gov/pubmed/37139533
http://dx.doi.org/10.3389/fnins.2023.1180782
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