Relationships among dietary patterns and heterogeneous biological aging at system and organ-specific levels and mortality risks

This study utilized data from the National Health and Nutrition Examination Survey (NHANES), to train mortality prediction-based phenotypic ages (PhenoAge [systemic] and organ-specific ages [cardiovascular, kidney, liver, and musculoskeletal]) from NHANES-III, and applied it in the continuous NHANES. Weighted linear regression analyses revealed significant associations between five diet scores-Healthy Eating Index 2020, Alternate Healthy Eating Index, Dietary Approaches to Stop Hypertension, Alternate Mediterranean Diet Score, and Dietary Inflammatory Index-derived from 24-hour diet recalls and accelerations in biological ages, encompassing both phenotypic and epigenetic measures (GrimAge2 and DunedinPoAm). Reduced rank regression was used to derive five aging-related diet scores that considered food groups within each previously established score as predictors and phenotypic age accelerations as response. The strongest food predictors of favorable aging-related diet scores included dietary patterns high in vegetables, fruits and high-quality protein (dairy, fish and legumes), and low in added sugar, sugar-sweetened beverages and red/processed meat. Weighted Cox regression models revealed that aging-related diet scores were more strongly associated with mortality risk than their respective diet scores alone.

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Publication Details

Journal
npj Science of Food
Published
2025-12-12
DOI
https://doi.org/10.1038/s41538-025-00625-2
Citations
3
Primary Topic
Nutritional Studies and Diet
Type
article
Field-Weighted Citation Impact
5.64

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article

Relationships among dietary patterns and heterogeneous biological aging at system and organ-specific levels and mortality risks

Geng Zong, Yucan Li, Kelin Xu, Yunxin Wang et al.
3 citations
npj Science of Food
Nutritional Studies and Diet
5.64
article

Relationships among dietary patterns and heterogeneous biological aging at system and organ-specific levels and mortality risks

Geng Zong, Yucan Li, Kelin Xu, Yunxin Wang, Chengwu Feng, Jiada Zhan, Xingdong Chen, Xinming Xu, Alice H. Lichtenstein, Xiang Gao, Liang Sun
article en
3 citations

Abstract

This study utilized data from the National Health and Nutrition Examination Survey (NHANES), to train mortality prediction-based phenotypic ages (PhenoAge [systemic] and organ-specific ages [cardiovascular, kidney, liver, and musculoskeletal]) from NHANES-III, and applied it in the continuous NHANES. Weighted linear regression analyses revealed significant associations between five diet scores-Healthy Eating Index 2020, Alternate Healthy Eating Index, Dietary Approaches to Stop Hypertension, Alternate Mediterranean Diet Score, and Dietary Inflammatory Index-derived from 24-hour diet recalls and accelerations in biological ages, encompassing both phenotypic and epigenetic measures (GrimAge2 and DunedinPoAm). Reduced rank regression was used to derive five aging-related diet scores that considered food groups within each previously established score as predictors and phenotypic age accelerations as response. The strongest food predictors of favorable aging-related diet scores included dietary patterns high in vegetables, fruits and high-quality protein (dairy, fish and legumes), and low in added sugar, sugar-sweetened beverages and red/processed meat. Weighted Cox regression models revealed that aging-related diet scores were more strongly associated with mortality risk than their respective diet scores alone.

npj Science of FoodVol. 9(1)
Tufts University (US), Emory University (US), Fudan University (CN), Shanghai Institute of Nutrition and Health (CN), Shanghai Public Health Clinical Center (CN), Jean Mayer Human Nutrition Research Center on Aging (US), University of Chinese Academy of Sciences (CN), Taizhou University (CN)
Natural Science Foundation of Shanghai, National Natural Science Foundation of China
Openalex Percentile: Top 4%
Nutritional Studies and Diet
5.64
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