The correlation of metabolic and renal biomarkers with vitamin D status in postmenopausal women.

IF 3.2 3区 环境科学与生态学 Q2 ECOLOGY Ecological Modelling Pub Date : 2023-10-27 DOI:10.5937/jomb0-41044
Aleksandra Klisić, Irena Radoman-Vujačić, Jelena Kostadinović, Ana Ninić
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引用次数: 1

Abstract

Background: To our knowledge, the mutual involvement of a variety of metabolic and renal biomarkers and vitamin D (determined as 25-hydroxyvitamin D [25(OH)D]) in postmenopausal women has not been examined yet. Therefore, we aimed to explore such a relationship by a thorough statistical multimarker approach.

Methods: A total of 150 (diabetes and cardiovascular disease-free) postmenopausal women were included. Anthropometric and biochemical parameters were measured. The fatty liver index (FLI) and Homeostasis model assessment of insulin resistance (HOMA-IR) were calculated. Univariate and multivariate binary logistic regression analyses were used to test the predictions of cardiometabolic markers for [25(OH)D] status. Principal component analysis (PCA) was applied to explore the effect of examined biomarkers on [25(OH)D] status.

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绝经后妇女代谢和肾脏生物标志物与维生素 D 状态的相关性。
背景:据我们所知,绝经后妇女的各种代谢和肾脏生物标志物与维生素 D(以 25- 羟基维生素 D [25(OH)D]测定)之间的相互关系尚未得到研究。因此,我们旨在通过全面的多标志物统计方法来探讨这种关系:方法:共纳入 150 名绝经后妇女(无糖尿病和心血管疾病)。测量了人体测量和生化指标。计算脂肪肝指数(FLI)和胰岛素抵抗稳态模型评估(HOMA-IR)。采用单变量和多变量二元逻辑回归分析来检验[25(OH)D]状态对心脏代谢指标的预测。主成分分析(PCA)用于探讨所研究的生物标志物对[25(OH)D]状态的影响。
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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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