Scholarlink

<p>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.</p><p></p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月12日

查看全文
  • Xinming Xu,
  • Yucan Li,
  • Yunxin Wang,
  • Berty Ruping Song,
  • Jiada Zhan,
  • Geng Zong,
  • Xingdong Chen,
  • Kelin Xu,
  • Liang Sun,
  • Chengwu Feng,
  • Alice H. Lichtenstein,
  • Xiang Gao

摘要

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.