Association between cardiovascular health metrics and retinal ageing

The study aims to investigate associations between cardiovascular health (CVH) metrics and retinal ageing indexed by retinal age gap. A total of 26,354 participants from the UK Biobank study with available CVH metrics and qualified retinal imaging were included in the present analysis. CVH included...

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Autores principales: Chen, Ruiye, Xu, Jinyi, Shang, Xianwen, Bulloch, Gabriella, He, Mingguang, Wang, Wei, Zhu, Zhuoting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400488/
https://www.ncbi.nlm.nih.gov/pubmed/36930331
http://dx.doi.org/10.1007/s11357-023-00743-3
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author Chen, Ruiye
Xu, Jinyi
Shang, Xianwen
Bulloch, Gabriella
He, Mingguang
Wang, Wei
Zhu, Zhuoting
author_facet Chen, Ruiye
Xu, Jinyi
Shang, Xianwen
Bulloch, Gabriella
He, Mingguang
Wang, Wei
Zhu, Zhuoting
author_sort Chen, Ruiye
collection PubMed
description The study aims to investigate associations between cardiovascular health (CVH) metrics and retinal ageing indexed by retinal age gap. A total of 26,354 participants from the UK Biobank study with available CVH metrics and qualified retinal imaging were included in the present analysis. CVH included 7 metrics (smoking, physical activity, diet, body mass index [BMI], total cholesterol, blood pressure [BP], blood glucose). These were summarized to classify the overall CVH as poor (0–7), intermediate (8–10) or ideal (11–14). Retinal age gap was defined as the difference between biological age predicted by fundus images and chronological age. Accelerated and non-accelerated retinal ageing was defined if retinal age gap was in the upper or lower 50% quantiles of the study population, respectively. Linear and logistic regression models estimated the association of overall CVH and each metric of CVH with retinal age gap respectively. Our results showed that in the fully adjusted model, each one-unit score increase in overall CVH was negatively associated with retinal age gap (odds ratio [OR] = 0.89, 95% confidence interval [CI]: 0.87-0.92, P < 0.001). Compared with poor overall CVH, people with intermediate and ideal overall CVH had significantly lower retinal age gap (OR = 0.76, 95%CI: 0.67–0.85, P < 0.001; OR = 0.58, 95%CI: 0.50–0.67, P < 0.001). Similar associations were found between overall CVH and accelerated retinal ageing. CVH metrics including smoking, BMI, BP, and blood glucose were also significantly associated with higher retinal age gap. Taken together, we found a significant and inverse dose-response association between CVH metrics and retinal age gap, indicating that maintaining healthy metrics especially smoking, BMI, BP, and blood glucose may be crucial to slow down biological ageing. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11357-023-00743-3.
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spelling pubmed-104004882023-08-05 Association between cardiovascular health metrics and retinal ageing Chen, Ruiye Xu, Jinyi Shang, Xianwen Bulloch, Gabriella He, Mingguang Wang, Wei Zhu, Zhuoting GeroScience Original Article The study aims to investigate associations between cardiovascular health (CVH) metrics and retinal ageing indexed by retinal age gap. A total of 26,354 participants from the UK Biobank study with available CVH metrics and qualified retinal imaging were included in the present analysis. CVH included 7 metrics (smoking, physical activity, diet, body mass index [BMI], total cholesterol, blood pressure [BP], blood glucose). These were summarized to classify the overall CVH as poor (0–7), intermediate (8–10) or ideal (11–14). Retinal age gap was defined as the difference between biological age predicted by fundus images and chronological age. Accelerated and non-accelerated retinal ageing was defined if retinal age gap was in the upper or lower 50% quantiles of the study population, respectively. Linear and logistic regression models estimated the association of overall CVH and each metric of CVH with retinal age gap respectively. Our results showed that in the fully adjusted model, each one-unit score increase in overall CVH was negatively associated with retinal age gap (odds ratio [OR] = 0.89, 95% confidence interval [CI]: 0.87-0.92, P < 0.001). Compared with poor overall CVH, people with intermediate and ideal overall CVH had significantly lower retinal age gap (OR = 0.76, 95%CI: 0.67–0.85, P < 0.001; OR = 0.58, 95%CI: 0.50–0.67, P < 0.001). Similar associations were found between overall CVH and accelerated retinal ageing. CVH metrics including smoking, BMI, BP, and blood glucose were also significantly associated with higher retinal age gap. Taken together, we found a significant and inverse dose-response association between CVH metrics and retinal age gap, indicating that maintaining healthy metrics especially smoking, BMI, BP, and blood glucose may be crucial to slow down biological ageing. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11357-023-00743-3. Springer International Publishing 2023-03-17 /pmc/articles/PMC10400488/ /pubmed/36930331 http://dx.doi.org/10.1007/s11357-023-00743-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Original Article
Chen, Ruiye
Xu, Jinyi
Shang, Xianwen
Bulloch, Gabriella
He, Mingguang
Wang, Wei
Zhu, Zhuoting
Association between cardiovascular health metrics and retinal ageing
title Association between cardiovascular health metrics and retinal ageing
title_full Association between cardiovascular health metrics and retinal ageing
title_fullStr Association between cardiovascular health metrics and retinal ageing
title_full_unstemmed Association between cardiovascular health metrics and retinal ageing
title_short Association between cardiovascular health metrics and retinal ageing
title_sort association between cardiovascular health metrics and retinal ageing
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400488/
https://www.ncbi.nlm.nih.gov/pubmed/36930331
http://dx.doi.org/10.1007/s11357-023-00743-3
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