Faculty of medicine, Tabriz University of medical sciences, Tabriz, Iran.
Department of clinical biochemistry, College of medicine, King Khalid University, Abha, Saudi Arabia.
BMC Endocr Disord. 2024 Jan 17;24(1):10. doi: 10.1186/s12902-024-01540-5.
Although the significance of diet in preventing or managing diabetes complications is highlighted in current literature, there is insufficient evidence regarding the correlation between nutrient patterns and these complications. The objective of this case-control study is to investigate this relationship by analyzing the dietary intake of nutrients in participants with and without type 2 diabetes (T2D).
A case-control study was conducted at the Tabriz Center of Metabolism and Endocrinology to investigate the relationship between nutrient patterns and type 2 diabetes (T2D). The study enrolled 225 newly diagnosed cases of T2D and 225 controls. The dietary intake of nutrients was assessed using a validated semi-quantitative food frequency questionnaire (FFQ). Principal component analysis using Varimax rotation was used to obtain nutrient patterns. Logistic regression analysis was performed to estimate the risk of T2D.
The participants' mean (SD) age and BMI were 39.8 (8.8) years and 27.8 (3.6) kg/m2, respectively. The results identified three major nutrient patterns. The first nutrient pattern was characterized by high consumption of sucrose, animal protein, vitamin E, vitamin B1, vitamin B12, calcium, phosphorus, zinc, and potassium. The second nutrient pattern included fiber, plant protein, vitamin D, Riboflavin, Vitamin B5, copper, and Magnesium. The third nutrient pattern was characterized by fiber, plant protein, vitamin A, riboflavin, vitamin C, calcium, and potassium. Individuals in the highest tertile of nutrient pattern 3 (NP3) had a lower risk of T2D compared to those in the lowest tertile after adjusting for confounders. The odds ratio was 0.52 with a 95% confidence interval of 0.30-0.89 and a P_trend of 0.039.
This study found that conforming to a nutrient pattern consisting of plant protein, vitamin C, vitamin A, vitamin B2, potassium, and calcium is linked to a lower likelihood of developing T2D.The initial results suggest that following a nutrient pattern that includes these nutrients may reduce the risk of T2D. However, further research is required to confirm the relationship between nutrient patterns and T2D.
尽管当前文献强调了饮食在预防或控制糖尿病并发症方面的重要性,但关于营养模式与这些并发症之间的相关性,证据仍然不足。本病例对照研究旨在通过分析 2 型糖尿病(T2D)患者与非患者的营养素摄入情况来探讨这种关系。
本病例对照研究在大不里士代谢与内分泌中心进行,旨在调查营养模式与 2 型糖尿病(T2D)之间的关系。该研究纳入了 225 例新诊断的 T2D 患者和 225 名对照者。使用经过验证的半定量食物频率问卷(FFQ)评估营养素摄入情况。采用方差极大旋转的主成分分析法提取营养素模式。采用 logistic 回归分析估计 T2D 的发病风险。
参与者的平均(标准差)年龄和 BMI 分别为 39.8(8.8)岁和 27.8(3.6)kg/m2。研究结果识别出三种主要的营养素模式。第一种营养素模式的特点是高蔗糖、动物蛋白、维生素 E、维生素 B1、维生素 B12、钙、磷、锌和钾的摄入。第二种营养素模式包括纤维、植物蛋白、维生素 D、核黄素、泛酸、铜和镁。第三种营养素模式的特点是纤维、植物蛋白、维生素 A、核黄素、维生素 C、钙和钾。在调整混杂因素后,营养素模式 3(NP3)最高三分位的个体发生 T2D 的风险较最低三分位者低。比值比为 0.52,95%置信区间为 0.30-0.89,P 趋势值为 0.039。
本研究发现,遵循富含植物蛋白、维生素 C、维生素 A、维生素 B2、钾和钙的营养素模式与较低的 T2D 发病风险相关。初步结果提示,遵循包含这些营养素的营养素模式可能有助于降低 T2D 的发病风险。但是,需要进一步的研究来证实营养素模式与 T2D 之间的关系。