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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 thei...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603165/ https://www.ncbi.nlm.nih.gov/pubmed/37884570 http://dx.doi.org/10.1038/s41598-023-45301-1 |
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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-10603165 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106031652023-10-28 Identification of PCB congeners and their thresholds associated with diabetes using decision tree analysis Lan, Tuo Liu, Buyun Bao, Wei Thorne, Peter S. Sci Rep 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. Nature Publishing Group UK 2023-10-26 /pmc/articles/PMC10603165/ /pubmed/37884570 http://dx.doi.org/10.1038/s41598-023-45301-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (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/PMC10603165/ https://www.ncbi.nlm.nih.gov/pubmed/37884570 http://dx.doi.org/10.1038/s41598-023-45301-1 |
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