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Identification of PCB Congeners and their Thresholds associated with Diabetes using Decision Tree Analysis
Few studies have investigated the potential combined effects of multiple PCB congeners on diabetes. To address this gap, we used data from 1244 adults in the National Health and Nutrition Examination Survey (NHANES) 2003–2004. We used 1) classification trees to identify serum PCB congeners and their...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187404/ https://www.ncbi.nlm.nih.gov/pubmed/37205460 http://dx.doi.org/10.21203/rs.3.rs-2845995/v1 |
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author | Lan, Tuo Liu, Buyun Bao, Wei Thorne, Peter S. |
author_facet | Lan, Tuo Liu, Buyun Bao, Wei Thorne, Peter S. |
author_sort | Lan, Tuo |
collection | PubMed |
description | Few studies have investigated the potential combined effects of multiple PCB congeners on diabetes. To address this gap, we used data from 1244 adults in the National Health and Nutrition Examination Survey (NHANES) 2003–2004. We used 1) classification trees to identify serum PCB congeners and their thresholds associated with diabetes; and 2) logistic regression to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) of diabetes with combined PCB congeners. Of the 40 PCB congeners examined, PCB 126 has the strongest association with diabetes. The adjusted OR of diabetes comparing PCB 126 > 0.025 to ≤ 0.025 ng/g was 2.14 (95% CI 1.30–3.53). In the subpopulation with PCB 126 > 0.025 ng/g, a lower PCB 101 concentration was associated with an increased risk of diabetes (comparing PCB 101 < 0.72 to ≥ 0.72 ng/g, OR = 3.3, 95% CI: 1.27–8.55). In the subpopulation with PCB 126 > 0.025&PCB 101 < 0.72 ng/g, a higher PCB 49 concentration was associated with an increased risk of diabetes (comparing PCB 49 > 0.65 to ≤ 0.65 ng/g, OR = 2.79, 95% CI: 1.06–7.35). This nationally representative study provided new insights into the combined associations of PCBs with diabetes. |
format | Online Article Text |
id | pubmed-10187404 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Journal Experts |
record_format | MEDLINE/PubMed |
spelling | pubmed-101874042023-05-17 Identification of PCB Congeners and their Thresholds associated with Diabetes using Decision Tree Analysis Lan, Tuo Liu, Buyun Bao, Wei Thorne, Peter S. Res Sq Article Few studies have investigated the potential combined effects of multiple PCB congeners on diabetes. To address this gap, we used data from 1244 adults in the National Health and Nutrition Examination Survey (NHANES) 2003–2004. We used 1) classification trees to identify serum PCB congeners and their thresholds associated with diabetes; and 2) logistic regression to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) of diabetes with combined PCB congeners. Of the 40 PCB congeners examined, PCB 126 has the strongest association with diabetes. The adjusted OR of diabetes comparing PCB 126 > 0.025 to ≤ 0.025 ng/g was 2.14 (95% CI 1.30–3.53). In the subpopulation with PCB 126 > 0.025 ng/g, a lower PCB 101 concentration was associated with an increased risk of diabetes (comparing PCB 101 < 0.72 to ≥ 0.72 ng/g, OR = 3.3, 95% CI: 1.27–8.55). In the subpopulation with PCB 126 > 0.025&PCB 101 < 0.72 ng/g, a higher PCB 49 concentration was associated with an increased risk of diabetes (comparing PCB 49 > 0.65 to ≤ 0.65 ng/g, OR = 2.79, 95% CI: 1.06–7.35). This nationally representative study provided new insights into the combined associations of PCBs with diabetes. American Journal Experts 2023-05-01 /pmc/articles/PMC10187404/ /pubmed/37205460 http://dx.doi.org/10.21203/rs.3.rs-2845995/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. https://creativecommons.org/licenses/by/4.0/License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License (https://creativecommons.org/licenses/by/4.0/) |
spellingShingle | Article Lan, Tuo Liu, Buyun Bao, Wei Thorne, Peter S. Identification of PCB Congeners and their Thresholds associated with Diabetes using Decision Tree Analysis |
title | Identification of PCB Congeners and their Thresholds associated with Diabetes using Decision Tree Analysis |
title_full | Identification of PCB Congeners and their Thresholds associated with Diabetes using Decision Tree Analysis |
title_fullStr | Identification of PCB Congeners and their Thresholds associated with Diabetes using Decision Tree Analysis |
title_full_unstemmed | Identification of PCB Congeners and their Thresholds associated with Diabetes using Decision Tree Analysis |
title_short | Identification of PCB Congeners and their Thresholds associated with Diabetes using Decision Tree Analysis |
title_sort | identification of pcb congeners and their thresholds associated with diabetes using decision tree analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187404/ https://www.ncbi.nlm.nih.gov/pubmed/37205460 http://dx.doi.org/10.21203/rs.3.rs-2845995/v1 |
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