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EPIC-Potsdam研究中饮食质量评分的纵向变化及其与2型糖尿病和心血管疾病的关系

Longitudinally changed diet quality scores and their association with type 2 diabetes mellitus and cardiovascular diseases in the EPIC-Potsdam study

Nature 等信源发布 2024-06-17 21:39

可切换为仅中文


AbstractAssociation analyses between longitudinal changes in diet quality scores (DQIs) and cardiometabolic risk remain scarce. Hence, we aimed to investigate how changes in two DQIs are associated with incident type 2 diabetes (T2D), myocardial infarction (MI) and stroke in the EPIC-Potsdam study. Changes in the Mediterranean Pyramid Score (MedPyr) and Healthy Diet Score (HDS) over 7 years from baseline (1994–1998) to follow-up 3 (2001–2005) were investigated in 23,548 middle-aged participants.

摘要饮食质量评分(DQIs)的纵向变化与心脏代谢风险之间的关联分析仍然很少。因此,我们旨在调查EPIC波茨坦研究中两种DQI的变化如何与2型糖尿病(T2D),心肌梗塞(MI)和中风相关。在23548名中年参与者中调查了从基线(1994-1998)到随访3(2001-2005)的7年中地中海金字塔评分(MedPyr)和健康饮食评分(HDS)的变化。

Adjusted Cox Proportional Hazards Regression models were applied to investigate associations between changes in MedPyr and HDS and chronic disease incidence. More than 60% of the participants increased both DQIs more than 5%. Within a median follow-up time of 5 years 568 cases of T2D, 171 of MI, 189 of stroke were verified.

应用调整后的Cox比例风险回归模型来研究MedPyr和HDS变化与慢性病发病率之间的关联。超过60%的参与者将DQI增加了5%以上。在5年的中位随访时间内,证实了568例T2D,171例MI,189例中风。

An increased compared to stable MedPyr was associated with lower T2D risk (HR 0.74; 95% CI 0.59–0.92), while a decreased MedPyr was associated with higher stroke risk (HR 1.67; 95% CI 1.02–2.72). A decreased compared to stable HDS was associated with higher stroke risk (HR 1.80; 95% CI 1.02–3.20). The findings contribute further evidence on advantages of changing dietary intake towards a Mediterranean Diet.

与稳定的MedPyr相比,增加的MedPyr与较低的T2D风险相关(HR 0.74;95%CI 0.59-0.92),而降低的MedPyr与较高的卒中风险相关(HR 1.67;95%CI 1.02-2.72)。与稳定的HDS相比,降低的HDS与较高的卒中风险相关(HR 1.80;95%CI 1.02-3.20)。这些发现进一步证明了将饮食摄入改变为地中海饮食的优势。

Although baseline HDS adherence was associated with T2D and stroke risk, longitudinal changes in HDS were only significantly associated with stroke risk..

尽管基线HDS依从性与T2D和卒中风险相关,但HDS的纵向变化仅与卒中风险显着相关。。

IntroductionBesides the investigation of individual foods and nutrients, the study of dietary patterns acts as a complementary strategy to disentangle the complexity of human diet. It has the advantage to consider the interrelation of food intake and to represent the cumulative exposure to different diet components, potentially leading to stronger effects on health than any single component1.

引言除了对个别食物和营养素的调查外,饮食模式的研究还可以作为解决人类饮食复杂性的补充策略。考虑食物摄入量的相互关系并代表不同饮食成分的累积暴露,可能比任何单一成分对健康的影响更大1。

Numerous prospective studies have evaluated associations between dietary patterns and cardiometabolic diseases2,3. Regarding a priori (hypothesis-based) dietary patterns (DP), evidence is strongest for the Mediterranean diet2,4,5, but also the Alternative Healthy Eating Index (AHEI) and Dietary Approaches to Stop Hypertension (DASH) were associated with a reduced risk of type 2 diabetes (T2D) and cardiovascular diseases (CVD)2,3,6.

许多前瞻性研究评估了饮食模式与心脏代谢疾病之间的关联2,3。关于先验(基于假设的)饮食模式(DP),地中海饮食的证据最强2,4,5,但替代健康饮食指数(AHEI)和停止高血压的饮食方法(DASH)与2型糖尿病(T2D)和心血管疾病(CVD)2,3,6的风险降低有关。

Noteworthy, studies conducted outside the Mediterranean region, thus in study populations which generally follow different dietary habits, e.g. European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam study among others, also observed lower cardiometabolic risk for participants following a Mediterranean diet7,8,9.

值得注意的是,在地中海地区以外进行的研究,因此在通常遵循不同饮食习惯的研究人群中,例如欧洲癌症与营养前瞻性调查(EPIC)-波茨坦研究等,也观察到地中海饮食后参与者的心脏代谢风险较低7,8,9。

Beneficial effects of the Mediterranean diet are strongly supported by the Prevención con Dieta Mediterránea (PREDIMED) randomized trial, which showed lower CVD risk with this diet, being either supplemented with extra virgin olive oil or with nuts10.Previous studies mostly used dietary information collected from only one time point.

Prevención con Dieta Mediterránea(PREDIMED)随机试验强烈支持地中海饮食的有益效果,该试验显示,这种饮食的心血管疾病风险较低,可以补充特级初榨橄榄油或坚果10。以前的研究大多使用仅从一个时间点收集的饮食信息。

However, using dietary information repeatedly collected during follow-up could be used to reduce measurement error due to intra-individual variation11. Furthermore, in terms of supporting dietary guidelines, it is of particular interest to investigate, if an actual change in dietary intake is ass.

然而,使用随访期间反复收集的饮食信息可以用来减少由于个体内变异引起的测量误差11。此外,在支持饮食指南方面,如果饮食摄入量的实际变化是ass,那么调查特别有意义。

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A change of 5% or less in the two diet quality scores was categorized as “stable”, while more than 5% decrease in the diet quality scores was categorized as “decrease” and more than 5% increase in the scores as “increase”, partly comparable to the approaches in previous U.S. based cohorts12,25.An overview of the food groups at baseline and at FUP3 across the change categories of both diet quality indices was provided in Supplementary Tables 4, 5.Covariate assessmentBaseline and FUP3 information on socio-demographic covariates like age, sex and occupation, lifestyle factors like alcohol consumption and smoking behavior, as well as self-reported hypertension were obtained by self-administered questionnaires and an interview (at baseline), except for physical activity (lastly updated information at FUP2) and education (only baseline information).

两个饮食质量得分的变化不超过5%被归类为“稳定”,而饮食质量得分下降超过5%被归类为“下降”,得分上升超过5%被归类为“上升”,部分与之前美国队列研究中的方法12、25相当。补充表4、5提供了两个饮食质量指数变化类别中基线和FUP3食物组的概述。协变量评估基线和FUP3关于社会人口协变量(如年龄、性别和职业)、生活方式因素(如饮酒和吸烟行为)以及自我报告的高血压的信息是通过自填问卷和访谈获得的(基线),除了体育活动(FUP2的最新信息)和教育(仅基线信息)。

Categories of highest educational level were “currently in training/no certificate or skill”, “professional school (vocational training)”, and “college or higher education”. Occupational status was a variable with the three categories “employed”, “unemployed” and “retired”. Smoking status was categorized as “never smoker”, “former smoker” and “current smoker”.

最高教育水平的类别是“目前正在接受培训/没有证书或技能”,“职业学校(职业培训)”和“大学或高等教育”。职业状况是一个变量,有三类“就业”,“失业”和“退休”。吸烟状况分为“从不吸烟者”,“前吸烟者”和“当前吸烟者”。

If the updated information on smoking behavior was not reported at FUP3, the missing information was imputed based on the reported information at a later follow-up. Physical activity was obtained as combined information of leisure time sports activities and biking, both in hours/week. Lifetime alcohol consumption combined the information on alcohol intake during life course (at the age 20, 30 and 40) and the intake estimate from baseline and FUP3, respectively26.The anthropometrics of the participants were assessed by trained staff at baseline, who followed a.

如果FUP3没有报告有关吸烟行为的最新信息,则在以后的随访中根据报告的信息估算缺失的信息。体育活动是作为休闲时间体育活动和骑自行车的综合信息而获得的,均以小时/周为单位。终生饮酒量分别结合了生命过程中(20岁,30岁和40岁)的酒精摄入量信息以及基线和FUP3的摄入量估计值26。参与者的人体测量由受过训练的工作人员在基线时进行评估,他们遵循a。

Data availability

数据可用性

The datasets generated and/or analysed during the current study are not publicly available due to German Federal and State data protection regulations, but are available from the secretariat of the Human Study Center (Office.HSZ@dife.de) on reasonable request.

由于德国联邦和州数据保护法规的规定,当前研究期间生成和/或分析的数据集无法公开获得,但可以从人类研究中心秘书处获得(Office.HSZ@dife.de)。

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Download referencesAcknowledgementsWe thank the Human Study Centre (HSC) of the German Institute of Human Nutrition Potsdam-Rehbruecke, namely the trustee and the examination unit for the collection, the data hub for the processing, and the participants for the provision of the data.FundingOpen Access funding enabled and organized by Projekt DEAL.

下载参考文献致谢我们感谢德国人类营养研究所波茨坦-雷布吕克人类研究中心(HSC),即收集数据的受托人和检查单位,处理数据的数据中心以及提供数据的参与者。。

The recruitment phase of the EPIC-Potsdam Study was supported by the Federal Ministry of Science, Germany (01 EA 9401) and the European Union (SOC 95201408 05F02). The follow-up of the EPIC-Potsdam Study was supported by German Cancer Aid (70-2488-Ha I) and the European Community (SOC 98200769 05F02).

EPIC波茨坦研究的招募阶段得到了德国联邦科学部(01 EA 9401)和欧盟(SOC 95201408 05F02)的支持。EPIC波茨坦研究的后续行动得到了德国癌症援助(70-2488-Ha I)和欧洲共同体(SOC 98200769 05F02)的支持。

Furthermore, this work was supported by NutriAct—Competence Cluster Nutrition Research Berlin-Potsdam funded by the German Federal Ministry of Education and Research (BMBF) (grant number 01EA1408A, 01EA1806A). The publication is furthermore funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—491394008.Author informationAuthors and AffiliationsDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, GermanyFranziska Jannasch, Daniela V.

此外,这项工作得到了德国联邦教育和研究部(BMBF)资助的柏林波茨坦NutriAct Competency Cluster Nutrition Research Berlin-Potsdam(批准号01EA1408A,01EA1806A)的支持。该出版物由德国科学基金会(DFG,德国研究基金会)-491394008资助。作者信息作者和附属机构德国人类营养研究所波茨坦-雷布吕克分子流行病学系,Arthur Scheunert Allee 114-11614558,Nuthetal,GermanyFranziska Jannasch,Daniela V。

Nickel, Olga Kuxhaus & Matthias B. SchulzeNutriAct Competence Cluster for Nutrition Research, Berlin-Potsdam, GermanyFranziska Jannasch, Daniela V. Nickel & Matthias B. SchulzeGerman Center for Diabetes Research (DZD), München-Neuherberg, GermanyFranziska Jannasch, Daniela V. Nickel, Olga Kuxhaus & Matthias B.

Nickel,Olga Kuxhaus&Matthias B.Schulzenutriac营养研究能力集群,柏林波茨坦,GermanyFranziska Jannasch,Daniela V.Nickel&Matthias B.SchulzeGerman糖尿病研究中心(DZD),München Neuherberg,GermanyFranziska Jannasch,Daniela V.Nickel,Olga Kuxhaus&Matthias B。

SchulzeInstitute of Nutritional Science, University of Potsdam, Nuthetal, GermanyDaniela V. Nickel & Matthias B. SchulzeAuthorsFranziska JannaschView author publicationsYou can also search for this author in.

波茨坦大学SchulzeInstitute of Nuthetal营养科学研究所,GermanyDaniela V.Nickel&Matthias B.SchulzeAuthorsFranziskaJannaschview作者出版物您也可以在中搜索这位作者。

PubMed Google ScholarDaniela V. NickelView author publicationsYou can also search for this author in

PubMed Google ScholarDaniela V.NickelView作者出版物您也可以在

PubMed Google ScholarOlga KuxhausView author publicationsYou can also search for this author in

PubMed Google ScholarOlga KuxhausView作者出版物您也可以在

PubMed Google ScholarMatthias B. SchulzeView author publicationsYou can also search for this author in

PubMed Google ScholarMatthias B.SchulzeView作者出版物您也可以在

PubMed Google ScholarContributionsAll authors (F.J., D.V.N., O.K., M.B.S.) contributed to the analysis conception and design. Data preparation and data analysis were performed by F.J., D.V.N., O.K.. The first draft of the manuscript was written by F.J. and all authors commented on previous versions of the manuscript.

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Reprints and permissionsAbout this articleCite this articleJannasch, F., Nickel, D.V., Kuxhaus, O. et al. Longitudinally changed diet quality scores and their association with type 2 diabetes mellitus and cardiovascular diseases in the EPIC-Potsdam study.

转载和许可本文引用本文Jannasch,F.,Nickel,D.V.,Kuxhaus,O。等人在EPIC波茨坦研究中纵向改变了饮食质量评分及其与2型糖尿病和心血管疾病的关系。

Sci Rep 14, 13907 (2024). https://doi.org/10.1038/s41598-024-63899-8Download citationReceived: 22 November 2023Accepted: 03 June 2024Published: 17 June 2024DOI: https://doi.org/10.1038/s41598-024-63899-8Share this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy to clipboard.

科学报告1413907(2024)。https://doi.org/10.1038/s41598-024-63899-8Download引文接收日期:2023年11月22日接收日期:2024年6月3日发布日期:2024年6月17日OI:https://doi.org/10.1038/s41598-024-63899-8Share本文与您共享以下链接的任何人都可以阅读此内容:获取可共享链接对不起,本文目前没有可共享的链接。复制到剪贴板。

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KeywordsDiet quality scoresMediterranean dietType-2-diabetes mellitusCardiovascular disease

关键词DIET质量评分地中海饮食型2型糖尿病心血管疾病

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