Xiao Wenbo, Li Wen, Ruan Zhanling, Sun Boran, Yang Yasi, Wang Jingyue, Wang Yuan, Lu Wenli
The Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China.
Eur J Nutr. 2025 Jun 4;64(5):203. doi: 10.1007/s00394-025-03642-9.
This study aims to investigate the relationship between a healthy dietary pattern and biological aging among perimenopausal and postmenopausal women in the United States, as well as this relationship among different body mass index (BMI) categories.
Among 4375 perimenopausal and postmenopausal women in the National Health and Nutrition Examination Survey (NHANES) 1999-2010, we calculated the Healthy Eating Index-2020(HEI-2020) to assess the healthy dietary pattern. Phenotypic age (PhenoAge) was calculated with 9 blood biomarkers, including albumin, creatinine, glucose, C-reactive protein, lymphocyte percentage, mean cell volume, red blood cell distribution width, alkaline phosphatase, and white blood cell distribution, to measure biological age. Weighted logistic regression models, adjusted for covariates, were employed to examine cross-sectional associations between the dietary pattern and biological aging measurements.
The total HEI-2020 score was not associated with accelerated aging, either in the overall population or across different BMI subgroups. However, regarding different food components, protein of seafood and plants (OR:0.76, 95%CI 0.62-0.94, P = 0.01) in the normal BMI group, vegetables (OR:0.72, 95%CI 0.58-0.89, P = 0.004) and whole grain (OR:0.90, 95%CI 0.82-0.99, P = 0.024) in the overweight BMI group, and vegetables (OR: 0.86, 95%CI 0.75-1.00, P = 0.051) in the obese group might be protective factors against accelerated aging.
The total HEI-2020 score was not associated with biological aging in perimenopausal and postmenopausal women. For HEI-2020 score of food components, protein of seafood and plants, whole grains and vegetables, and vegetables were associated with delayed aging for these women whose BMI was normal, overweight, and obese respectively. Increasing the intake of these foods may help them delay their biological age.
本研究旨在调查美国围绝经期和绝经后女性健康饮食模式与生物衰老之间的关系，以及不同体重指数（BMI）类别中的这种关系。
在1999 - 2010年美国国家健康与营养检查调查（NHANES）的4375名围绝经期和绝经后女性中，我们计算了健康饮食指数 - 2020（HEI - 2020）以评估健康饮食模式。用包括白蛋白、肌酐、葡萄糖、C反应蛋白、淋巴细胞百分比、平均细胞体积、红细胞分布宽度、碱性磷酸酶和白细胞分布在内的9种血液生物标志物计算表型年龄（PhenoAge）来衡量生物年龄。采用经协变量调整的加权逻辑回归模型来检验饮食模式与生物衰老测量指标之间的横断面关联。
无论是在总体人群中还是在不同BMI亚组中，HEI - 2020总分均与加速衰老无关。然而，对于不同食物成分，正常BMI组中海鲜和植物蛋白（OR：0.76，95%CI 0.62 - 0.94，P = 0.01）、超重BMI组中的蔬菜（OR：0.72，95%CI 0.58 - 0.89，P = 0.004）和全谷物（OR：0.90，95%CI 0.82 - 0.99，P = 0.024）以及肥胖组中的蔬菜（OR：0.86，95%CI 0.75 - 1.00，P = 0.
