中国大学生异常子宫出血与饮食多样性及模式之间的关联：一项横断面研究。

The association between dietary diversity and patterns in Chinese university students with abnormal uterine bleeding: a cross-sectional study.

作者信息

Yu Sha, Lai Lei, Li Xiang, Lei Lifeng, Zhang Xuan, Liu Leyi, Song Peize, Zhang Xinyue, Ma Yuxin, Lan Qianqian, Liu Yufang, Chen Yuanqun, Tang Yuping, Yu Zhiying

机构信息

Department of Gynecology, Shenzhen Second People's Hospital, The First Affiliated Hospital ofShenzhen UniversityHealth Science Center, Shenzhen, 518000, China.

Shenzhen University, Shenzhen, 518055, China.

出版信息

Nutr Metab (Lond). 2024 Dec 19;21(1):108. doi: 10.1186/s12986-024-00873-1.

DOI:10.1186/s12986-024-00873-1

PMID:39702285

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11660573/

Abstract

BACKGROUND

Abnormal uterine bleeding (AUB) is a common gynecological issue during reproductive years. Researches on how dietary diversity and patterns influence AUB in Chinese university students are limited, with some studies not clearly defining irregular menstruation. This research investigated the incidence of AUB according to the International Federation of Gynecology and Obstetrics criteria and sought to identify preventative factors via online questionnaires.

METHODS

Food intake was assessed via factor analysis. This study analyzed the relationships among the dietary diversity score (DDS), dietary patterns, and AUB via univariate and multivariate binary logistic regression models and generalized additive models.

RESULTS

The sample consisted of 698 students, with 434 (62.2%) having experienced AUB. Among them, 87 (20.05%) reported abnormal frequency, 250 (57.60%) reported irregular menstrual cycle, 41 (9.45%) reported prolonged duration, and 268 (61.75%) reported abnormal flow volume. A 1-unit increase in the DDS was linked to a 22% lower risk of AUB (odds ratio 0.78, 95% CI: 0.67, 0.90). A high DDS (≥ 6) was consistently associated with a lower risk of AUB across all the models. Using a two-piecewise linear regression model and recursive algorithm, a nonlinear, reverse L-shaped relationship was identified between the "low fat plant-based" dietary pattern factor score (FAC4) and AUB, with an inflection point of 1.45. Before this point, FAC4 had a protective effect on AUB (odds ratio 0.42, 95% CI: 0.21, 0.84).

CONCLUSIONS

Our study underscores the importance of a varied diet as a preventive measure for AUB, utilizing a DDS to quantify the relationship between dietary diversity and AUB. According to our findings, higher dietary diversity and moderate adherence to a "low fat plant-based" dietary pattern may be significant protective factors against AUB in university students.

摘要

背景

异常子宫出血（AUB）是生育年龄期常见的妇科问题。关于饮食多样性和模式如何影响中国大学生AUB的研究有限，一些研究未明确界定月经不调。本研究根据国际妇产科联合会标准调查AUB的发生率，并通过在线问卷寻找预防因素。

方法

通过因子分析评估食物摄入量。本研究通过单变量和多变量二元逻辑回归模型以及广义相加模型分析饮食多样性得分（DDS）、饮食模式和AUB之间的关系。

结果

样本包括698名学生，其中434名（62.2%）有过AUB经历。其中，87名（20.05%）报告月经频率异常，250名（57.60%）报告月经周期不规律，41名（9.45%）报告经期延长，268名（61.75%）报告经量异常。DDS每增加1个单位，AUB风险降低22%（比值比0.78，95%可信区间：0.67，0.90）。在所有模型中，高DDS（≥6）始终与较低的AUB风险相关。使用两段式线性回归模型和递归算法，在“低脂植物性”饮食模式因子得分（FAC4）和AUB之间发现了一种非线性、倒L形关系，拐点为1.45。在此之前，FAC4对AUB有保护作用（比值比0.42，95%可信区间：0.21，0.84）。