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代谢健康的肥胖者与瘦人的代谢综合征:饮食质量的重要性。MAGNETIC队列分析。

Metabolically healthy obese and metabolic syndrome of the lean: the importance of diet quality. Analysis of MAGNETIC cohort.

作者信息

Osadnik Kamila, Osadnik Tadeusz, Lonnie Marta, Lejawa Mateusz, Reguła Rafał, Fronczek Martyna, Gawlita Marcin, Wądołowska Lidia, Gąsior Mariusz, Pawlas Natalia

机构信息

Department of Pharmacology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Jordana 38, 41-808, Zabrze, Poland.

2nd Department of Cardiology and Angiology, Silesian Center for Heart Diseases, Marii Skłodowskiej-Curie 9, 41-800, Zabrze, Poland.

出版信息

Nutr J. 2020 Feb 25;19(1):19. doi: 10.1186/s12937-020-00532-0.

Abstract

BACKGROUND

Obesity is considered as an indispensable component of metabolic health assessment and metabolic syndrome diagnosis. The associations between diet quality and metabolic health in lean, young adults have not been yet established whilst data addressing this issue in overweight and obese subjects is scarce. Our analysis aimed to establish the link between diet quality (measured with data-driven dietary patterns and diet quality scores) and metabolic syndrome (MS) in young adults, regardless of their adiposity status.

METHODS

A total of 797 participants aged 18-35 years old were included in the study. Participants were assigned into metabolic syndrome (MS) group if at least two abnormalities within the following parameters were present: blood pressure, triglycerides, total cholesterol, HDL cholesterol, blood glucose. Participants with one or none abnormalities were considered as metabolically healthy subjects (MH), Diet quality was assessed with two approaches: 1) a posteriori by drawing dietary patterns (DPs) with principal component analysis (PCA) and 2) a priori by establishing diet quality scores and the adherence to pro-Healthy-Diet-Index (pHDI) and non-Healthy-Diet-Index (nHDI). Logistic regression with backward selection based on Akaike information criterion was carried out, to identify factors independently associated with metabolic health.

RESULTS

Within the MS group, 31% were of normal weight. Three PCA-driven DPs were identified, in total explaining 30.0% of the variance: "Western" (11.8%), "Prudent" (11.2%) and "Dairy, breakfast cereals & treats" (7.0%). In the multivariate models which included PCA-driven DPs, higher adherence to middle and upper tertiles of "Western" DP (Odds Ratios [OR] and 95% Confidence Intervals [95% CI]: 1.72, 1.07-2.79 and 1.74, 1.07-2.84, respectively), was associated with MS independently of clinical characteristics including BMI and waist-hip ratio (WHR). Similar results were obtained in the multivariate model with diet quality scores - MS was independently associated with higher scores within nHDI (2.2, 0.92-5.28).

CONCLUSIONS

Individuals with MS were more likely to adhere to the western dietary pattern and have a poor diet quality in comparison to metabolically healthy peers, independently of BMI and WHR. It may imply that diet composition, as independent factor, plays a pivotal role in increasing metabolic risk. Professional dietary advice should be offered to all metabolically unhealthy patients, regardless of their body mass status.

摘要

背景

肥胖被视为代谢健康评估和代谢综合征诊断中不可或缺的组成部分。瘦的年轻成年人的饮食质量与代谢健康之间的关联尚未确立,而针对超重和肥胖受试者这一问题的数据也很稀少。我们的分析旨在确定年轻成年人饮食质量(通过数据驱动的饮食模式和饮食质量评分衡量)与代谢综合征(MS)之间的联系,无论其肥胖状况如何。

方法

共有797名年龄在18 - 35岁的参与者纳入本研究。如果在以下参数中至少存在两项异常:血压、甘油三酯、总胆固醇、高密度脂蛋白胆固醇、血糖,则将参与者分配到代谢综合征(MS)组。有一项或无异常的参与者被视为代谢健康受试者(MH)。饮食质量通过两种方法进行评估:1)通过主成分分析(PCA)绘制饮食模式(DPs)进行事后分析,2)通过建立饮食质量评分以及对健康饮食指数(pHDI)和非健康饮食指数(nHDI)的依从性进行事前分析。基于赤池信息准则进行向后选择的逻辑回归分析,以确定与代谢健康独立相关的因素。

结果

在MS组中,31%体重正常。共识别出三种由PCA驱动的DPs,总共解释了30.0%的变异:“西方型”(11.8%)、“谨慎型”(11.2%)和“乳制品、早餐谷物及零食型”(7.0%)。在包含由PCA驱动的DPs的多变量模型中,更高程度地依从“西方型”DPs的中三分位数和上三分位数(优势比[OR]和95%置信区间[95%CI]:分别为1.72,1.07 - 2.79和1.74,1.07 - 2.84),与MS独立相关,独立于包括体重指数(BMI)和腰臀比(WHR)在内的临床特征。在饮食质量评分的多变量模型中也得到了类似结果——MS与nHDI内的更高分数独立相关(2.2,0.92 - 5.28)。

结论

与代谢健康的同龄人相比,患有MS的个体更有可能依从西方饮食模式且饮食质量较差,独立于BMI和WHR。这可能意味着饮食组成作为一个独立因素,在增加代谢风险方面起关键作用。应向所有代谢不健康的患者提供专业的饮食建议,无论其体重状况如何。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/362d/7041188/bead051b7157/12937_2020_532_Fig1_HTML.jpg

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