中国大学生异常子宫出血患者膳食多样性与膳食模式的关系:一项横断面研究。

IF 3.9 2区 医学 Q2 NUTRITION & DIETETICS Nutrition & Metabolism Pub Date : 2024-12-19 DOI:10.1186/s12986-024-00873-1
Sha Yu, Lei Lai, Xiang Li, Lifeng Lei, Xuan Zhang, Leyi Liu, Peize Song, Xinyue Zhang, Yuxin Ma, Qianqian Lan, Yufang Liu, Yuanqun Chen, Yuping Tang, Zhiying Yu
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引用次数: 0

摘要

背景:子宫异常出血(AUB)是育龄期常见的妇科疾病。关于饮食多样性和饮食模式对中国大学生AUB影响的研究有限,一些研究没有明确定义月经不调。本研究根据国际妇产科联合会的标准调查了AUB的发生率,并试图通过在线问卷来确定预防因素。方法:采用因子分析法评价患者的摄食量。本研究通过单因素和多因素二元logistic回归模型以及广义加性模型分析了饲粮多样性评分(DDS)、饮食方式与AUB之间的关系。结果:样本包括698名学生,其中434名(62.2%)经历过AUB。其中,异常频次87例(20.05%),月经周期不规律250例(57.60%),持续时间延长41例(9.45%),流量异常268例(61.75%)。DDS增加1个单位与AUB风险降低22%相关(优势比0.78,95% CI: 0.67, 0.90)。在所有模型中,高DDS(≥6)始终与较低的AUB风险相关。采用双分段线性回归模型和递归算法,发现“低脂植物性”饮食模式因子评分(FAC4)与AUB呈非线性倒l型关系,拐点为1.45。在此之前,FAC4对AUB有保护作用(优势比0.42,95% CI: 0.21, 0.84)。结论:我们的研究强调了多样化饮食作为AUB预防措施的重要性,利用DDS量化饮食多样性与AUB之间的关系。根据我们的研究结果,较高的饮食多样性和适度坚持“低脂肪植物性”饮食模式可能是大学生预防AUB的重要保护因素。
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The association between dietary diversity and patterns in Chinese university students with abnormal uterine bleeding: a cross-sectional study.

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.

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来源期刊
Nutrition & Metabolism
Nutrition & Metabolism 医学-营养学
CiteScore
8.40
自引率
0.00%
发文量
78
审稿时长
4-8 weeks
期刊介绍: Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.
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