Gastrointestinal health and serum proteins are associated with BMD in postmenopausal women: a cross-sectional study.

IF 3.9 2区医学 Q2 NUTRITION & DIETETICS

Nutrition & Metabolism Pub Date : 2024-11-06 DOI:10.1186/s12986-024-00865-1

Han Wang, Qiuxia Jiang, Jiai Yan, Ju Yang, Jing Sun, Yingyu Wang, Gege Huang, Feng Zhang, Hong Cao, Xuesong Wang, Dan Li

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引用次数: 0

Abstract

Background: With increasing age, the social and economic burdens of postmenopausal osteoporosis are steadily increasing. This study aimed to investigate the factors that influence the development of postmenopausal osteoporosis.

Methods: Postmenopausal women at the Affiliated Hospital of Jiangnan University from January 2023 to December 2023 were recruited for BMD examination. The patients were divided into a normal group, an osteopenia group and an osteoporosis group according to their T value. Questionnaires, including the Gastrointestinal Symptom Rating Scale and Short Form 12, were administered through face-to-face interviews. Bone turnover markers and serum protein levels of Fasting venous blood were detected.

Results: A total of 222 postmenopausal women met the inclusion criteria were recruited. Univariate analysis revealed statistically significant differences in age, education, BMI, supplementation with soy products, supplementation with dairy products, supplementation with other nutritional supplements, exercise frequency, gastrointestinal symptom score, quality of life, 25(OH)D, total protein, albumin and prealbumin among the three groups (P < 0.05). Pearson correlation analysis revealed that gastrointestinal symptoms (r = -0.518, P < 0.01) was negatively correlated with BMD in postmenopausal women, while PCS (r = 0.194, P = 0.004), MCS (r = 0.305, P < 0.01), 25(OH)D (r = 0.531, P < 0.01), total protein (r = 0.324, P < 0.01), albumin (r = 0.341, P < 0.01) and prealbumin (r = 0.259, P < 0.01) were positively correlated with BMD. Logistic regression analysis revealed that both the gastrointestinal symptom score and serum 25(OH)D level were found to have a significant association with BMD (both P < 0.01). This association remained significant even after adjusting for age, BMI, education level, dietary habits, and exercise frequency.

Conclusion: Gastrointestinal symptoms and serum 25(OH)D elevel are associated with increased risk of osteoporosis in postmenopausal women and may be useful in predicting osteoporosis in postmenopausal women.

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绝经后妇女的胃肠道健康和血清蛋白与 BMD 的关系：一项横断面研究。

背景：随着年龄的增长，绝经后骨质疏松症所带来的社会和经济负担也在稳步增加。本研究旨在探讨影响绝经后骨质疏松症发病的因素：方法：招募 2023 年 1 月至 2023 年 12 月在江南大学附属医院就诊的绝经后妇女进行 BMD 检查。根据 T 值将患者分为正常组、骨质疏松组和骨质疏松症组。通过面对面访谈的方式进行问卷调查，包括胃肠道症状评分量表和简表 12。检测空腹静脉血中的骨转换标志物和血清蛋白水平：共招募了 222 名符合纳入标准的绝经后妇女。单变量分析表明，三组妇女在年龄、教育程度、体重指数、补充豆制品、补充奶制品、补充其他营养补充剂、运动频率、胃肠道症状评分、生活质量、25（OH）D、总蛋白、白蛋白和前白蛋白等方面存在显著差异（P胃肠道症状和血清 25(OH)D elevel 与绝经后妇女骨质疏松症风险增加有关，可能有助于预测绝经后妇女的骨质疏松症。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nutrition & Metabolism 医学-营养学

CiteScore

8.40

自引率

0.00%

发文量

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.