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The association of mean telomere length with all-cause, cerebrovascular and cardiovascular mortality
Mean telomere length (MLT) is a marker of cell aging and may associate with age-related diseases. However, the relationship between MLT and mortality risk remains unclear. We aimed to investigate the relationship between MLT and all-cause, cerebrovascular and cardiovascular mortality among adults in...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Portland Press Ltd.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6822529/ https://www.ncbi.nlm.nih.gov/pubmed/31647542 http://dx.doi.org/10.1042/BSR20192306 |
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author | Huang, Yu-qing Lo, Kenneth Feng, Ying-qing Zhang, Bin |
author_facet | Huang, Yu-qing Lo, Kenneth Feng, Ying-qing Zhang, Bin |
author_sort | Huang, Yu-qing |
collection | PubMed |
description | Mean telomere length (MLT) is a marker of cell aging and may associate with age-related diseases. However, the relationship between MLT and mortality risk remains unclear. We aimed to investigate the relationship between MLT and all-cause, cerebrovascular and cardiovascular mortality among adults in United States. We analyzed data were from National Health and Nutrition Examination Survey (NHANES, 1999–2002) with follow-up data through 31 December 2015. Based on MLT, participants were categorized into low, middle and high groups. Multivariate Cox proportional hazards regression, subgroup analysis and generalized additive model (GAM) were performed by using hazard ratios (HRs) and 95% confidence intervals (CIs). A total of 7827 participants were included in analysis (48.18% male). After 158.26 months of follow-up on average, there were 1876 (23.97%), 87 (1.11%) and 243 (3.10%) onset of all-cause, cerebrovascular and cardiovascular mortality. After adjustment for potential confounders, using the low group as the reference, HRs for all-cause (0.87 and 0.86), cerebrovascular (0.75 and 0.75) and cardiovascular mortality (1.01 and 0.69) for the middle to high groups were not statistically significant (all P>0.05 for trend). MLT was non-linearly related to all-cause mortality but not to cerebrovascular and cardiovascular mortality. It was the first study to demonstrate the non-linear relationship between MLT and all-cause mortality. |
format | Online Article Text |
id | pubmed-6822529 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Portland Press Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68225292019-11-06 The association of mean telomere length with all-cause, cerebrovascular and cardiovascular mortality Huang, Yu-qing Lo, Kenneth Feng, Ying-qing Zhang, Bin Biosci Rep Diagnostics & Biomarkers Mean telomere length (MLT) is a marker of cell aging and may associate with age-related diseases. However, the relationship between MLT and mortality risk remains unclear. We aimed to investigate the relationship between MLT and all-cause, cerebrovascular and cardiovascular mortality among adults in United States. We analyzed data were from National Health and Nutrition Examination Survey (NHANES, 1999–2002) with follow-up data through 31 December 2015. Based on MLT, participants were categorized into low, middle and high groups. Multivariate Cox proportional hazards regression, subgroup analysis and generalized additive model (GAM) were performed by using hazard ratios (HRs) and 95% confidence intervals (CIs). A total of 7827 participants were included in analysis (48.18% male). After 158.26 months of follow-up on average, there were 1876 (23.97%), 87 (1.11%) and 243 (3.10%) onset of all-cause, cerebrovascular and cardiovascular mortality. After adjustment for potential confounders, using the low group as the reference, HRs for all-cause (0.87 and 0.86), cerebrovascular (0.75 and 0.75) and cardiovascular mortality (1.01 and 0.69) for the middle to high groups were not statistically significant (all P>0.05 for trend). MLT was non-linearly related to all-cause mortality but not to cerebrovascular and cardiovascular mortality. It was the first study to demonstrate the non-linear relationship between MLT and all-cause mortality. Portland Press Ltd. 2019-10-25 /pmc/articles/PMC6822529/ /pubmed/31647542 http://dx.doi.org/10.1042/BSR20192306 Text en © 2019 The Author(s). https://creativecommons.org/licenses/by/4.0/ This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY). |
spellingShingle | Diagnostics & Biomarkers Huang, Yu-qing Lo, Kenneth Feng, Ying-qing Zhang, Bin The association of mean telomere length with all-cause, cerebrovascular and cardiovascular mortality |
title | The association of mean telomere length with all-cause, cerebrovascular and cardiovascular mortality |
title_full | The association of mean telomere length with all-cause, cerebrovascular and cardiovascular mortality |
title_fullStr | The association of mean telomere length with all-cause, cerebrovascular and cardiovascular mortality |
title_full_unstemmed | The association of mean telomere length with all-cause, cerebrovascular and cardiovascular mortality |
title_short | The association of mean telomere length with all-cause, cerebrovascular and cardiovascular mortality |
title_sort | association of mean telomere length with all-cause, cerebrovascular and cardiovascular mortality |
topic | Diagnostics & Biomarkers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6822529/ https://www.ncbi.nlm.nih.gov/pubmed/31647542 http://dx.doi.org/10.1042/BSR20192306 |
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