Evidence mapPaperPMID 39861487Full record

ArticleNutrients2025

Association Between Protein-Rich Foods, Nutritional Supplements, and Age of Natural Menopause and Its Symptoms.

Yilin Yang, Yehuan Yang, Zhenghua Yong, Li Yang, Yanxia Zhao, Mengke Yan, Ruimin Zheng, Xiaomin Luo

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Article in Nutrients, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yilin YangChinese Center for Disease Control and Prevention, Beijing 100000, China.ORCID 0009-0005-4563-8643
Yehuan YangNational Center for Women and Children's Health, National Health Commission of the People's Republic of China, Beijing 100000, China.
Zhenghua YongChinese Center for Disease Control and Prevention, Beijing 100000, China.
Li YangNational Center for Women and Children's Health, National Health Commission of the People's Republic of China, Beijing 100000, China.
Yanxia ZhaoNational Center for Women and Children's Health, National Health Commission of the People's Republic of China, Beijing 100000, China.
Mengke YanChinese Center for Disease Control and Prevention, Beijing 100000, China.
Ruimin ZhengNational Center for Women and Children's Health, National Health Commission of the People's Republic of China, Beijing 100000, China.
Xiaomin LuoNational Center for Women and Children's Health, National Health Commission of the People's Republic of China, Beijing 100000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the relationship between protein-rich foods, various nutritional supplements, and age of natural menopause and its symptoms.

methodsThis study was a large-scale cross-sectional survey. A multi-stage stratified random sampling method was used to select a sample of 52,347 residents aged 35-60 years from 26 districts/counties across 13 cities in 12 provinces in China. The mean natural menopause age was represented by the average and median, and logistic regression models were employed to examine the relationship between the intake of protein-rich foods, use of nutritional supplements, and natural menopause age as well as menopausal symptoms.

resultsThe average natural menopause age of the study population was 49.46 (±3.22) years, with a median age of 50 years. Logistic regression analysis revealed that with increasing frequency of fish consumption, the natural menopause age was delayed and the severity of menopausal symptoms gradually decreased, especially in relation to physical symptoms, psychological symptoms, and urogenital symptoms, which showed significant negative correlations. Milk and soy products were significantly negatively correlated with various dimensions of menopausal symptoms. Calcium and iron supplements were significantly positively correlated with the severity of menopause symptoms. Subgroup analysis by different age groups and premenopausal versus postmenopausal status showed minimal impact on the study results. In the population with BMI ≥ 18.5, fish consumption was significantly negatively correlated with menopausal symptoms. In the population with BMI between 18.5 and 27.9, milk consumption was significantly negatively correlated with menopausal symptoms. In all the populations, soy product consumption was significantly negatively correlated with menopausal symptoms.

conclusionsThe intake of fish, milk, and soy products plays a role in alleviating the severity of menopausal symptoms, particularly in delaying natural menopause, with the effect of fish intake being especially significant. Calcium and iron supplements may play a role in exacerbating the severity of menopausal symptoms.

Indexed as

DietDietary ProteinsDietary SupplementsMenopauseAdultAge FactorsChinaCross-Sectional StudiesFemaleHumansMiddle AgedDietary Proteinsfishmenopausal symptomsmilknatural menopause agesoy

Identifiers

PMID39861487
PMCPMC11768543

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