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Association between plant-based dietary pattern and biological aging trajectory in a large prospective cohort

BACKGROUND: Aging is a dynamic and heterogeneous process that may better be captured by trajectories of aging biomarkers. Biological age has been advocated as a better biomarker of aging than chronological age, and plant-based dietary patterns have been found to be linked to aging. However, the asso...

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Autores principales: Wang, Sicong, Li, Wenyuan, Li, Shu, Tu, Huakang, Jia, Junlin, Zhao, Wenting, Xu, Andi, Xu, Wenxin, Tsai, Min Kuang, Chu, David Ta-Wei, Wen, Chi Pang, Wu, Xifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433678/
https://www.ncbi.nlm.nih.gov/pubmed/37592257
http://dx.doi.org/10.1186/s12916-023-02974-9
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author Wang, Sicong
Li, Wenyuan
Li, Shu
Tu, Huakang
Jia, Junlin
Zhao, Wenting
Xu, Andi
Xu, Wenxin
Tsai, Min Kuang
Chu, David Ta-Wei
Wen, Chi Pang
Wu, Xifeng
author_facet Wang, Sicong
Li, Wenyuan
Li, Shu
Tu, Huakang
Jia, Junlin
Zhao, Wenting
Xu, Andi
Xu, Wenxin
Tsai, Min Kuang
Chu, David Ta-Wei
Wen, Chi Pang
Wu, Xifeng
author_sort Wang, Sicong
collection PubMed
description BACKGROUND: Aging is a dynamic and heterogeneous process that may better be captured by trajectories of aging biomarkers. Biological age has been advocated as a better biomarker of aging than chronological age, and plant-based dietary patterns have been found to be linked to aging. However, the associations of biological age trajectories with mortality and plant-based dietary patterns remained unclear. METHODS: Using group-based trajectory modeling approach, we identified distinctive aging trajectory groups among 12,784 participants based on a recently developed biological aging measure acquired at four-time points within an 8-year period. We then examined associations between aging trajectories and quintiles of plant-based dietary patterns assessed by overall plant-based diet index (PDI), healthful PDI (hPDI), and unhealthful PDI (uPDI) among 10,191 participants who had complete data on dietary intake, using multivariable multinomial logistics regression adjusting for sociodemographic and lifestyles factors. Cox proportional hazards regression models were applied to investigate the association between aging trajectories and all-cause mortality. RESULTS: We identified three latent classes of accelerated aging trajectories: slow aging, medium-degree, and high-degree accelerated aging trajectories. Participants who had higher PDI or hPDI had lower odds of being in medium-degree (OR = 0.75, 95% CI: 0.65, 0.86 for PDI; OR = 0.73, 95% CI: 0.62, 0.85 for hPDI) or high-degree (OR = 0.63, 95% CI: 0.46, 0.86 for PDI; OR = 0.62, 95% CI: 0.44, 0.88 for hPDI) accelerated aging trajectories. Participants in the highest quintile of uPDI were more likely to be in medium-degree (OR = 1.72, 95% CI: 1.48, 1.99) or high-degree (OR = 1.70, 95% CI: 1.21, 2.38) accelerated aging trajectories. With a mean follow-up time of 8.40 years and 803 (6.28%) participants died by the end of follow-up, we found that participants in medium-degree (HR = 1.56, 95% CI: 1.29, 1.89) or high-degree (HR = 3.72, 95% CI: 2.73, 5.08) accelerated aging trajectory groups had higher risks of death than those in the slow aging trajectory. CONCLUSIONS: We identified three distinctive aging trajectories in a large Asian cohort and found that adopting a plant-based dietary pattern, especially when rich in healthful plant foods, was associated with substantially lowered pace of aging. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-02974-9.
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spelling pubmed-104336782023-08-18 Association between plant-based dietary pattern and biological aging trajectory in a large prospective cohort Wang, Sicong Li, Wenyuan Li, Shu Tu, Huakang Jia, Junlin Zhao, Wenting Xu, Andi Xu, Wenxin Tsai, Min Kuang Chu, David Ta-Wei Wen, Chi Pang Wu, Xifeng BMC Med Research Article BACKGROUND: Aging is a dynamic and heterogeneous process that may better be captured by trajectories of aging biomarkers. Biological age has been advocated as a better biomarker of aging than chronological age, and plant-based dietary patterns have been found to be linked to aging. However, the associations of biological age trajectories with mortality and plant-based dietary patterns remained unclear. METHODS: Using group-based trajectory modeling approach, we identified distinctive aging trajectory groups among 12,784 participants based on a recently developed biological aging measure acquired at four-time points within an 8-year period. We then examined associations between aging trajectories and quintiles of plant-based dietary patterns assessed by overall plant-based diet index (PDI), healthful PDI (hPDI), and unhealthful PDI (uPDI) among 10,191 participants who had complete data on dietary intake, using multivariable multinomial logistics regression adjusting for sociodemographic and lifestyles factors. Cox proportional hazards regression models were applied to investigate the association between aging trajectories and all-cause mortality. RESULTS: We identified three latent classes of accelerated aging trajectories: slow aging, medium-degree, and high-degree accelerated aging trajectories. Participants who had higher PDI or hPDI had lower odds of being in medium-degree (OR = 0.75, 95% CI: 0.65, 0.86 for PDI; OR = 0.73, 95% CI: 0.62, 0.85 for hPDI) or high-degree (OR = 0.63, 95% CI: 0.46, 0.86 for PDI; OR = 0.62, 95% CI: 0.44, 0.88 for hPDI) accelerated aging trajectories. Participants in the highest quintile of uPDI were more likely to be in medium-degree (OR = 1.72, 95% CI: 1.48, 1.99) or high-degree (OR = 1.70, 95% CI: 1.21, 2.38) accelerated aging trajectories. With a mean follow-up time of 8.40 years and 803 (6.28%) participants died by the end of follow-up, we found that participants in medium-degree (HR = 1.56, 95% CI: 1.29, 1.89) or high-degree (HR = 3.72, 95% CI: 2.73, 5.08) accelerated aging trajectory groups had higher risks of death than those in the slow aging trajectory. CONCLUSIONS: We identified three distinctive aging trajectories in a large Asian cohort and found that adopting a plant-based dietary pattern, especially when rich in healthful plant foods, was associated with substantially lowered pace of aging. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-02974-9. BioMed Central 2023-08-17 /pmc/articles/PMC10433678/ /pubmed/37592257 http://dx.doi.org/10.1186/s12916-023-02974-9 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Wang, Sicong
Li, Wenyuan
Li, Shu
Tu, Huakang
Jia, Junlin
Zhao, Wenting
Xu, Andi
Xu, Wenxin
Tsai, Min Kuang
Chu, David Ta-Wei
Wen, Chi Pang
Wu, Xifeng
Association between plant-based dietary pattern and biological aging trajectory in a large prospective cohort
title Association between plant-based dietary pattern and biological aging trajectory in a large prospective cohort
title_full Association between plant-based dietary pattern and biological aging trajectory in a large prospective cohort
title_fullStr Association between plant-based dietary pattern and biological aging trajectory in a large prospective cohort
title_full_unstemmed Association between plant-based dietary pattern and biological aging trajectory in a large prospective cohort
title_short Association between plant-based dietary pattern and biological aging trajectory in a large prospective cohort
title_sort association between plant-based dietary pattern and biological aging trajectory in a large prospective cohort
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433678/
https://www.ncbi.nlm.nih.gov/pubmed/37592257
http://dx.doi.org/10.1186/s12916-023-02974-9
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