Evidence map›Paper›PMID 39866819›Full record

ArticleInternational journal of women's health2025

Distribution and Related Influencing Factors of AMH Level in Family-Planning Women of Childbearing Age: A Cross-Sectional Study from Beijing, China.

Jinwei Song, Songkun Gao, Lixia Zhao, Xiaolong Tong

Abstract read
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Article in International journal of women's health, 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jinwei Song *Women 's Health Department, Xicheng District Maternal and Child Health Care Hospital, Beijing, 100054, People's Republic of China.
Songkun Gao *Gynecologic Oncology Department,Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, 100026, People's Republic of China.ORCID 0000-0002-5347-837X
Lixia ZhaoWomen 's Health Department, Xicheng District Maternal and Child Health Care Hospital, Beijing, 100054, People's Republic of China.
Xiaolong TongWomen 's Health Department, Xicheng District Maternal and Child Health Care Hospital, Beijing, 100054, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to analyze the distribution and factors influencing anti-Müllerian hormone (AMH) levels among family-planning women of childbearing age in Beijing, China. Patients and Methods: We collected the data of 3,236 family-planning women of childbearing age who underwent pre-pregnancy examinations at Xicheng District Maternal and Child Health Hospital in Beijing between October 2021 and July 2024. Collected data included age, education level, ethnicity, height, weight, and systolic and diastolic blood pressure. We calculated the body mass index (BMI) of each participant. The collected blood test results included AMH, fasting blood glucose (FBG), thyroid-stimulating hormone (TSH), creatinine (Cr), and alanine aminotransferase, and hemoglobin levels and platelet count. A structured questionnaire was used to document the subjects' dietary and lifestyle habits, environmental factors, and emotional and mental stress statuses. The patients were divided into age groups (≥36 years versus ≤35 years) and factors compared between them. Two different factors influencing AMH level were analyzed using a logistics model. Results: The AMH level decreased with age, with a median AMH of <2.0 ng/mL for subjects aged ≥36 years. Significant intergroup differences were noted in ethnicity, education level, FBG, creatinine level, BMI, diastolic blood pressure, hemoglobin level, smoking rate, and life-related stress level. A logistic regression analysis suggested that age was a negative factor affecting AMH level in both groups (P=0.000 and 0.002, respectively). Hemoglobin and educational levels were also important influential factors of AMH in patients aged ≤ 35 years but not in those aged ≥ 36 years. Conclusion: AMH levels gradually decreased with age. Although nutritional status and educational level significantly impacted AMH levels among women ≤ 35 years of age, their effects decreased thereafter. Thus, 35 years of age is considered an important reproductive boundary for women of childbearing age.

Indexed as

AMHcross-sectional studywomen of childbearing age

Identifiers

PMID39866819
PMCPMC11766139

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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.