Sex- and age-specific associations of serum essential elements with diabetes among the Chinese adults: a community-based cross-sectional study.

IF 3.9 2区医学 Q2 NUTRITION & DIETETICS

Nutrition & Metabolism Pub Date : 2024-07-09 DOI:10.1186/s12986-024-00801-3

Dongmei Wang, Hong Ye, Siyang Liu, Hualin Duan, Qintao Ma, Nanfang Yao, Zihao Gui, Genfeng Yu, Lan Liu, Heng Wan, Jie Shen

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引用次数: 0

Abstract

Background: Although several studies have found the relationship between essential elements and diabetes, the studies about the association of essential elements with diabetes diagnosed according to an oral glucose tolerance test (OGTT) and glycated hemoglobin (HbA1c) in a sex- and age-specific manner were limited. To investigate the linear and nonlinear relationship of five essential elements including iron (Fe), copper (Cu), Zinc (Zn), magnesium (Mg), and calcium (Ca) with diabetes, fasting plasma glucose (FPG), 2-h postprandial plasma glucose (PPG), and HbA1c and to evaluate the sex- and age-specific heterogeneities in these relationships.

Methods: A total of 8392 community-dwelling adults were recruited to complete a questionnaire and undergo checkups of anthropometric parameters and serum levels of five metals (Fe, Cu, Zn, Mg, and Ca). The multivariable logistic and linear regression, the restricted cubic spline (RCS) analysis, and subgroup analysis were applied to find the associations between the essential elements and the prevalence of diabetes as well as FPG, PPG, and HbA1c.

Results: In the multivariable logistic regression and multivariable linear regression, serum Cu was positively associated with FPG, PPG, and HbA1c while serum Mg was significantly inversely correlated with FPG, PPG, HbA1c, and diabetes (all P < 0.001). In the RCS analysis, the non-linear relationship of Cu and diabetes (P < 0.001) was found. In the subgroup analysis, stronger positive associations of Cu with diabetes (P for interaction = 0.027) and PPG (P for interaction = 0.002) were found in younger women.

Conclusions: These findings may lead to more appropriate approaches to essential elements supplementation in people with diabetes of different ages and sexes. However, more prospective cohort and experimental studies are needed to probe the possible mechanism of sex- and age-specific associations between serum essential elements and diabetes.

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中国成年人血清必需元素与糖尿病的性别和年龄特异性关联：一项基于社区的横断面研究。

背景：尽管有多项研究发现了人体必需元素与糖尿病之间的关系，但有关人体必需元素与根据口服葡萄糖耐量试验（OGTT）和糖化血红蛋白（HbA1c）诊断的糖尿病之间的关系的研究却很有限。研究铁（Fe）、铜（Cu）、锌（Zn）、镁（Mg）和钙（Ca）等五种必需元素与糖尿病、空腹血浆葡萄糖（FPG）、餐后 2 小时血浆葡萄糖（PPG）和 HbA1c 的线性和非线性关系，并评估这些关系中的性别和年龄特异性：共招募了 8392 名居住在社区的成年人，他们填写了一份调查问卷，并接受了人体测量参数和五种金属（铁、铜、锌、镁和钙）血清水平的检查。研究人员采用多变量逻辑回归和线性回归、受限立方样条线（RCS）分析和亚组分析等方法，研究了人体必需元素与糖尿病发病率、血糖指数（FPG）、血压指数（PPG）和血红蛋白A1c之间的关系：结果：在多变量逻辑回归和多变量线性回归中，血清铜与 FPG、PPG 和 HbA1c 呈正相关，而血清镁与 FPG、PPG、HbA1c 和糖尿病呈显著的反相关（均为 P 结论：血清铜与 FPG、PPG 和 HbA1c 呈正相关，而血清镁与 FPG、PPG、HbA1c 和糖尿病呈显著的反相关：这些发现可能会为不同年龄和性别的糖尿病患者提供更合适的必需元素补充方法。然而，还需要进行更多的前瞻性队列研究和实验研究，以探究血清必需元素与糖尿病之间的性别和年龄特异性关联的可能机制。

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.