超重和肥胖者的膳食和生活方式胰岛素潜能指数与代谢综合征的风险因素:一项横断面研究

IF 2.3 Q3 NUTRITION & DIETETICS
Nutrition and Metabolic Insights Pub Date : 2024-09-13 eCollection Date: 2024-01-01 DOI:10.1177/11786388241273670
Ali Hojati, Mahdieh Abbasalizad Farhangi
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引用次数: 0

摘要

背景:代谢综合征(MetS)是一种世界性流行病,与高疾病负担有关。多种慢性疾病的出现可归因于个人不利的饮食和生活方式选择,而高胰岛素血症和胰岛素抵抗是其根本原因。本研究旨在评估高胰岛素血症的经验饮食指数(EDIH)和高胰岛素血症的经验生活方式指数(ELIH)与 MetS 风险因素之间的关系:这项横断面研究从伊朗大不里士市招募了 339 名年龄在 20 岁至 50 岁之间的肥胖或超重者。研究采用了经过验证的半定量食物频率问卷(FFQ),共 168 个问题,用于评估个人的食物摄入量。此外,还进行了血液检测,以评估总胆固醇(TC)、高密度脂蛋白胆固醇(HDL-C)、甘油三酯(TG)水平以及血糖和胰岛素水平:经多变量调整后,在 EDIH 各分层中,收缩压(SBP)和甘油三酯(TG)有显著差异。此外,SBP、舒张压(DBP)和高密度脂蛋白胆固醇(HDL-C)在不同ELIH分层中也有显著差异。在多变量调整模型中,EDIH最高三分位的个体与FBG水平相关的OR值升高[OR:1.035(1.004-1.068;P P P P P 结论:EDIH最高三分位的个体与FBG水平相关的OR值升高]:考虑到我们的研究结果,EDIH 所显示的较高胰岛素血症饮食潜能与作为 MetS 风险因素的较高 FBG 和较低 TG 的几率有关。此外,我们的研究结果表明,ELIH 较高的人可能会表现出较低的 SBP 和 DBP 水平。然而,要充分理解这种关联,还需要进一步的实验和长期调查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dietary and Lifestyle Insulinemic Potential Indices and Risk Factors of Metabolic Syndrome Among Overweight and Obese Individuals: A Cross-Sectional Study.

Background: As a worldwide pandemic, metabolic syndrome (MetS) is related with high disease burden. The emergence of multiple chronic diseases can be attributed to unfavorable dietary and lifestyle choices made by individuals, with hyperinsulinemia and insulin resistance as the underlying causes. Current study sought to assess the relationship between the Empirical Dietary Index for Hyperinsulinemia (EDIH) and the Empirical Lifestyle Index for Hyperinsulinemia (ELIH) and MetS risk factors.

Methods: This cross-sectional study involved 339 individuals between the ages of 20 and 50, who were either obese or overweight, and were recruited from Tabriz, Iran. In this study, a validated semi-quantitative Food Frequency Questionnaire (FFQ) with 168 questions was used to assess individuals' food consumption. Blood tests were performed to assess total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), triglyceride (TG) levels, as well as blood glucose and insulin levels.

Results: After multivariable adjustment, among tertiles of EDIH, systolic blood pressure (SBP) and TG were significantly different. Also, SBP, diastolic blood pressure (DBP), and HDL-C significantly differed across tertiles of ELIH. In multivariate-adjusted models, individuals classified in the highest tertile of EDIH demonstrated elevated ORs in relation to FBG levels [OR: 1.035 (1.004-1.068; P < .05)], and the second tertile of ELIH was inversely associated with SBP [OR: 0.966 (0.935-0.999; P < .05)], DBP [OR: 0.972 (0.948-0.997; P < .05)], TG in the model I [OR: 0.991 (0.983-0.999; P < .05)], and model II [OR: 0.991 (0.983-0.999; P < .05)].

Conclusion: Considering the findings of our study, higher insulinemic dietary potential, indicated by EDIH, can be related to higher odds of FBG and decreased odds of TG as risk factors of MetS. Furthermore, our findings suggest that individuals with a higher ELIH may potentially exhibit lower SBP and DBP levels. Nevertheless, further experimental and long-term investigations are necessary to fully comprehend this association.

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来源期刊
Nutrition and Metabolic Insights
Nutrition and Metabolic Insights NUTRITION & DIETETICS-
CiteScore
3.30
自引率
0.00%
发文量
27
审稿时长
8 weeks
期刊介绍: Nutrition and Metabolic Insights is a peer-reviewed, open-access online journal focusing on all aspects of nutrition and metabolism. This encompasses nutrition, including the biochemistry of metabolism, exercise and associated physical processes and also includes clinical articles that relate to metabolism, such as obesity, lipidemias and diabetes. It includes research at the molecular, cellular and organismal levels. This journal welcomes new manuscripts for peer review on the following topics: Nutrition, including the biochemistry of metabolism, Exercise and associated physical processes, Clinical articles that relate to metabolism, such as obesity, lipidemias and diabetes, Research at the molecular, cellular and organismal levels, Other areas of interest include gene-nutrient interactions, the effects of hormones, models of metabolic function, macronutrient interactions, outcomes of changes in diet, and pathophysiology.
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