Nutrient patterns and risk of diabetes mellitus type 2: a case-control study

• Published in: BMC endocrine disorders 2024-01, Vol.24 (1), p.10-10, Article 10
• Main Authors: Haramshahi, Morteza, A-Elgadir, Thoraya Mohamed Elhassan, Daabo, Hamid Mahmood Abdullah, Altinkaynak, Yahya, Hjazi, Ahmed, Saxena, Archana, Najm, Mazin A A, Almulla, Abbas F, Alsaalamy, Ali, Kashani, Mohammad Amin
• Format: Article
• Language: English
• Subjects: Ascorbic acid; Calcium; Chronic illnesses; Copper; Diabetes; Diabetes mellitus (non-insulin dependent); Diabetes therapy; Diet; Dietary intake; Disease; Endocrinology; Exercise; Fatty acids; Food; Food habits; Food sources; Glucose; Lactose; Magnesium; Metabolic syndrome; Nutrient pattern; Nutrients; Nutritionists; Physiological aspects; Potassium; Principal components analysis; Proteins; Questionnaires; Riboflavin; Risk factors; Selenium; Statistical analysis; Sucrose; T2D; Type 2 diabetes; Vitamin A; Vitamin B12; Vitamin C; Vitamin D; Vitamin E; Vitamins; Zinc
• ISSN: 1472-6823; 1472-6823
• 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.