Evidence map›Paper›PMID 40464992›Full record

ArticleEuropean journal of nutrition2025

Healthy dietary pattern and accelerated biological aging in perimenopausal and postmenopausal women: among different BMI statuses.

Wenbo Xiao, Wen Li, Zhanling Ruan, Boran Sun, Yasi Yang, Jingyue Wang, Yuan Wang, Wenli Lu

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Article in European journal of nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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8 authors.

Wenbo XiaoThe Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China.
Wen LiThe Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China.
Zhanling RuanThe Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China.
Boran SunThe Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China.
Yasi YangThe Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China.
Jingyue WangThe Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China.
Yuan WangThe Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China. gw_928@163.com.
Wenli LuThe Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin, China.

Funding

National Natural Science Foundation of China 71704131
6 · The paper itself

Abstract

purposeThis 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.

methodsAmong 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.

resultsThe 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.

conclusionsThe 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.

Indexed as

AgingBody Mass IndexDiet, HealthyPerimenopausePostmenopauseAgedBiomarkersCross-Sectional StudiesDietFemaleHumansMiddle AgedNutrition SurveysUnited StatesVegetablesBiomarkersBiological agingBody mass indexHealthy dietary patternsMenopausePhenotypic age acceleration

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.