{"title":"The association between dietary diversity and patterns in Chinese university students with abnormal uterine bleeding: a cross-sectional study.","authors":"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","doi":"10.1186/s12986-024-00873-1","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":19196,"journal":{"name":"Nutrition & Metabolism","volume":"21 1","pages":"108"},"PeriodicalIF":3.9000,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11660573/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition & Metabolism","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12986-024-00873-1","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0
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.
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.