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基于植物和动物的饮食与胰岛素抵抗、糖尿病前期和 2 型糖尿病:鹿特丹研究。

Plant versus animal based diets and insulin resistance, prediabetes and type 2 diabetes: the Rotterdam Study.

机构信息

Department of Epidemiology, Erasmus University Medical Center, Office Na-2903, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.

Department of Health Sciences, Faculty of Earth and Life Sciences, Vrije Universiteit, Amsterdam, The Netherlands.

出版信息

Eur J Epidemiol. 2018 Sep;33(9):883-893. doi: 10.1007/s10654-018-0414-8. Epub 2018 Jun 8.

DOI:10.1007/s10654-018-0414-8
PMID:29948369
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6133017/
Abstract

Vegan or vegetarian diets have been suggested to reduce type 2 diabetes (T2D) risk. However, not much is known on whether variation in the degree of having a plant-based versus animal-based diet may be beneficial for prevention of T2D. We aimed to investigate whether level of adherence to a diet high in plant-based foods and low in animal-based foods is associated with insulin resistance, prediabetes, and T2D. Our analysis included 6798 participants (62.7 ± 7.8 years) from the Rotterdam Study (RS), a prospective population-based cohort in the Netherlands. Dietary intake data were collected with food-frequency questionnaires at baseline of three sub-cohorts of RS (RS-I-1: 1989-1993, RS-II-1: 2000-2001, RS-III-1: 2006-2008). We constructed a continuous plant-based dietary index (range 0-92) assessing adherence to a plant-based versus animal-based diet. Insulin resistance at baseline and follow-up was assessed using homeostasis model assessment of insulin resistance (HOMA-IR). Prediabetes and T2D were collected from general practitioners' records, pharmacies' databases, and follow-up examinations in our research center until 2012. We used multivariable linear mixed models to examine association of the index with longitudinal HOMA-IR, and multivariable Cox proportional-hazards regression models to examine associations of the index with risk of prediabetes and T2D. During median 5.7, and 7.3 years of follow-up, we documented 928 prediabetes cases and 642 T2D cases. After adjusting for sociodemographic and lifestyle factors, a higher score on the plant-based dietary index was associated with lower insulin resistance (per 10 units higher score: β = -0.09; 95% CI: - 0.10; - 0.08), lower prediabetes risk (HR = 0.89; 95% CI: 0.81; 0.98), and lower T2D risk [HR = 0.82 (0.73; 0.92)]. After additional adjustment for BMI, associations attenuated and remained statistically significant for longitudinal insulin resistance [β = -0.05 (- 0.06; - 0.04)] and T2D risk [HR = 0.87 (0.79; 0.99)], but no longer for prediabetes risk [HR = 0.93 (0.85; 1.03)]. In conclusion, a more plant-based and less animal-based diet may lower risk of insulin resistance, prediabetes and T2D. These findings strengthen recent dietary recommendations to adopt a more plant-based diet.Clinical Trial Registry number and website NTR6831, http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=6831 .

摘要

素食或 vegetarian 饮食被认为可以降低 2 型糖尿病(T2D)的风险。然而,对于饮食中植物性食物和动物性食物的比例变化是否对 T2D 的预防有益,我们知之甚少。我们旨在研究饮食中植物性食物含量高、动物性食物含量低的程度与胰岛素抵抗、糖尿病前期和 T2D 之间的关系。我们的分析包括来自荷兰鹿特丹研究(RS)的 6798 名参与者(62.7±7.8 岁),这是一个前瞻性的基于人群的队列研究。在 RS 的三个亚队列的基线时(RS-I-1:1989-1993,RS-II-1:2000-2001,RS-III-1:2006-2008),我们使用食物频率问卷收集了饮食摄入数据。我们构建了一个连续的植物性饮食指数(范围 0-92),用于评估饮食中植物性食物与动物性食物的比例。使用稳态模型评估的胰岛素抵抗(HOMA-IR)来评估基线和随访时的胰岛素抵抗。糖尿病前期和 T2D 从全科医生的记录、药店的数据库和我们研究中心的随访检查中收集,直到 2012 年。我们使用多变量线性混合模型来检验指数与纵向 HOMA-IR 的关联,使用多变量 Cox 比例风险回归模型来检验指数与糖尿病前期和 T2D 风险的关联。在中位 5.7 年和 7.3 年的随访期间,我们记录了 928 例糖尿病前期病例和 642 例 T2D 病例。在调整了社会人口统计学和生活方式因素后,植物性饮食指数越高,胰岛素抵抗越低(每增加 10 个单位:β=-0.09;95%CI:-0.10;-0.08),糖尿病前期风险越低(HR=0.89;95%CI:0.81;0.98),T2D 风险越低[HR=0.82(0.73;0.92)]。在进一步调整 BMI 后,相关性减弱,但仍具有统计学意义,与纵向胰岛素抵抗[β=-0.05(-0.06;-0.04)]和 T2D 风险[HR=0.87(0.79;0.99)]相关,但与糖尿病前期风险[HR=0.93(0.85;1.03)]无关。总之,更植物性和更少动物性的饮食可能会降低胰岛素抵抗、糖尿病前期和 T2D 的风险。这些发现加强了最近采用更植物性饮食的饮食建议。临床试验注册号和网站 NTR6831,http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=6831。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f22/6133017/e7f62ee9b2d0/10654_2018_414_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f22/6133017/e7f62ee9b2d0/10654_2018_414_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f22/6133017/e7f62ee9b2d0/10654_2018_414_Fig1_HTML.jpg

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