Vitamin D Deficiency as an Independent Risk Factor for Adenomyosis: a Cross-Sectional Study

Background: The relationship between adenomyosis and vitamin D remains largely unexplored. However, emerging evidence suggests that vitamin D deficiency may increase the risk of developing adenomyosis. Methods: A cross-sectional study was conducted involving 190 patients diagnosed with adenomyosis and 185 healthy controls. Propensity score matching (PSM) was utilized to generate 91 matched pairs. Multivariate logistic regression analysis was employed to examine the relationship between vitamin D levels and the risk of adenomyosis. Additionally, receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic performance of vitamin D levels. Results: In both unmatched (44.0 nmol/L vs. 61.4 nmol/L, p < 0.001) and matched (42.3 nmol/L vs. 60.7 nmol/L, p < 0.001) groups, patients with adenomyosis exhibited significantly lower serum vitamin D levels compared to healthy controls. Multivariate logistic regression analysis demonstrated a negative association between vitamin D levels and the risk of adenomyosis in both groups. ROC analysis identified an optimal diagnostic threshold of 44.75 nmol/L for vitamin D in predicting adenomyosis. Conclusions: Reduced serum vitamin D levels represent an independent risk factor for adenomyosis, with levels below 44.75 nmol/L associated with an increased risk. These findings suggest that vitamin D supplementation may serve as a potential preventive strategy against adenomyosis.

Authors

Institutions

Publication Details

Journal
Clinical and Experimental Obstetrics & Gynecology
Published
2025-03-19
DOI
https://doi.org/10.31083/ceog36263
Primary Topic
Endometriosis Research and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Vitamin D Deficiency as an Independent Risk Factor for Adenomyosis: a Cross-Sectional Study

Hua Tao, Qiuling Shi, Wei Lin, Dingyuan Zeng et al.
1 links
Clinical and Experimental Obstetrics & Gynecology
Endometriosis Research and Treatment
article

Vitamin D Deficiency as an Independent Risk Factor for Adenomyosis: a Cross-Sectional Study

Hua Tao, Qiuling Shi, Wei Lin, Dingyuan Zeng, Fang Li, Li Wang, Haiyu Zhong, Zhibiao Wang
article en

Abstract

Background: The relationship between adenomyosis and vitamin D remains largely unexplored. However, emerging evidence suggests that vitamin D deficiency may increase the risk of developing adenomyosis. Methods: A cross-sectional study was conducted involving 190 patients diagnosed with adenomyosis and 185 healthy controls. Propensity score matching (PSM) was utilized to generate 91 matched pairs. Multivariate logistic regression analysis was employed to examine the relationship between vitamin D levels and the risk of adenomyosis. Additionally, receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic performance of vitamin D levels. Results: In both unmatched (44.0 nmol/L vs. 61.4 nmol/L, p < 0.001) and matched (42.3 nmol/L vs. 60.7 nmol/L, p < 0.001) groups, patients with adenomyosis exhibited significantly lower serum vitamin D levels compared to healthy controls. Multivariate logistic regression analysis demonstrated a negative association between vitamin D levels and the risk of adenomyosis in both groups. ROC analysis identified an optimal diagnostic threshold of 44.75 nmol/L for vitamin D in predicting adenomyosis. Conclusions: Reduced serum vitamin D levels represent an independent risk factor for adenomyosis, with levels below 44.75 nmol/L associated with an increased risk. These findings suggest that vitamin D supplementation may serve as a potential preventive strategy against adenomyosis.

Clinical and Experimental Obstetrics & GynecologyVol. 52(3)
Liuzhou Maternal and Child Health Hospital (CN), Chongqing Public Health Medical Center (CN), Chongqing Medical University (CN)
Openalex Percentile: Top 91%
Endometriosis Research and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.