Dietary patterns and type 2 diabetes

2013 ◽  
pp. 185-204
Keyword(s):  
Type 2 Diabetes ◽  
Dietary Patterns

Association of Major Dietary Patterns with General and Abdominal Obesity in Iranian Patients with Type 2 Diabetes Mellitus

2015 ◽  
Vol 85 (3-4) ◽  
pp. 145-155 ◽  
Author(s):  
Marjan Ghane Basiri ◽  
Gity Sotoudeh ◽  
Mahmood Djalali ◽  
Mohammad Reza Eshraghian ◽  
Neda Noorshahi ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Abdominal Obesity ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Diabetic Patients ◽  
General Obesity ◽  
Healthy Dietary Pattern

Abstract. Background: The aim of this study was to identify dietary patterns associated with general and abdominal obesity in type 2 diabetic patients. Methods: We included 728 patients (35 - 65 years) with type 2 diabetes mellitus in this cross-sectional study. The usual dietary intake of individuals over 1 year was collected using a validated semi-quantitative food frequency questionnaire. Weight, height, and waist circumference were measured according to standard protocol. Results: The two major dietary patterns identified by factor analysis were healthy and unhealthy dietary patterns. After adjustment for potential confounders, subjects in the highest quintile of the healthy dietary pattern scores had a lower odds ratio for the general obesity when compared to the lowest quintile (OR = 0.45, 95 % CI = 0.26 - 0.79, P for trend = 0.02), while patients in the highest quintile of the unhealthy dietary pattern scores had greater odds for the general obesity (OR = 3.2, 95 % CI = 1.8 - 5.9, P for trend < 0.001). There were no significant associations between major dietary patterns and abdominal obesity, even after adjusting for confounding factors. Conclusion: This study shows that in patients with type 2 diabetes mellitus, a healthy dietary pattern is inversely associated and an unhealthy dietary pattern is directly associated with general obesity.

scholarly journals Dietary Patterns, Plasma Fatty Acid Profiles and Risk of Coronary Heart Disease and Type 2 Diabetes (P18-092-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Jowy Seah Yi Hoong ◽  
Choon Nam Ong ◽  
Woon-Puay Koh ◽  
Jian-Min Yuan ◽  
Rob van Dam
Keyword(s):  
Type 2 Diabetes ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Fatty Acid ◽  
Dietary Patterns ◽  
Disease Risk ◽  
Red Meat ◽  
Plasma Fatty Acid ◽  
Response Variables

Abstract Objectives Reduced rank regression (RRR) can incorporate a priori biological hypotheses into exploratory techniques used to generate dietary patterns. No previous studies have used nutrition biomarkers including plasma fatty acids as response variables in RRR. We aimed to derive dietary patterns that explain variation in plasma fatty acid concentrations using RRR and evaluate these in relation to risk of coronary heart disease (CHD) and type 2 diabetes (T2D). Methods We derived dietary patterns in a subsample of 711 participants with fatty acid concentrations in the Singapore Chinese Health Study using RRR with 31 food groups/items as predictors and 10 plasma fatty acid biomarkers as response variables. Scores for the dietary patterns derived in the subset were then calculated among the full cohort. We followed up 58,065 and 45,411 men and women for CHD mortality and incident T2D respectively. Results We identified a ‘prudent pattern’ high in green vegetables, fruits and fish and low in rice, eggs and red meat, and a ‘low-meat pattern’ high in bread, margarine and fruits, and low in red meat, seafood and poultry. During 1077,170 and 494,741 person-years of follow-up, 3016 CHD mortality events and 5207 cases of T2D respectively were identified. Both the ‘prudent pattern’ [all adjusted HRs for extreme quintiles, 0.68 (95% CI: 0.60, 0.77); P-trend < 0.001] and ‘low-meat pattern’ [HR, 0.86 (95% CI: 0.76, 0.96); P-trend = 0.010] were associated with lower risk of CHD mortality. The ‘prudent pattern’ was not associated with T2D whereas the ‘low-meat pattern’ was inversely associated with T2D but appeared restricted to women [HR, 0.69 (95% CI: 0.61, 0.78); P-trend < 0.001; P-interaction for sex = 0.001]. Conclusions Using nutrition biomarkers as response variables in RRR may be a promising approach to generating dietary patterns predictive of noncommunicable chronic disease risk. Funding Sources This study was supported by the National Institutes of Health, USA. JYHS is supported by the NGS Scholarship. W-PK is supported by the National Medical Research Council, Singapore. Supporting Tables, Images and/or Graphs

scholarly journals Dietary patterns and practices in rural eastern Uganda: Implications for prevention and management of type 2 diabetes

Appetite ◽  
2019 ◽  
Vol 143 ◽  
pp. 104409 ◽  
Author(s):  
Juliet Kiguli ◽  
Helle Mölsted Alvesson ◽  
Roy William Mayega ◽  
Francis Xavier Kasujja ◽  
Anthony Muyingo ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Dietary Patterns ◽  
Eastern Uganda

scholarly journals Analysis of dietary patterns and cross-sectional and longitudinal associations with hypertension, high BMI and type 2 diabetes in Peru

2019 ◽  
Vol 23 (6) ◽  
pp. 1009-1019
Author(s):  
Carmelia Alae-Carew ◽  
Pauline Scheelbeek ◽  
Rodrigo M Carrillo-Larco ◽  
Antonio Bernabé-Ortiz ◽  
William Checkley ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Dietary Patterns ◽  
Latent Class ◽  
Urban Setting ◽  
Rural Setting ◽  
Processed Foods ◽  
Lower Prevalence ◽  
Cross Sectional ◽  
High Bmi

AbstractObjective:To determine if specific dietary patterns are associated with risk of hypertension, type 2 diabetes mellitus (T2DM) and high BMI in four sites in Peru.Design:We analysed dietary patterns from a cohort of Peruvian adults in four geographical settings using latent class analysis. Associations with prevalence and incidence of hypertension, T2DM and high BMI were assessed using Poisson regression and generalised linear models, adjusted for potential confounders.Setting:Four sites in Peru varying in degree of urbanisation.Participants:Adults aged ≥35 years (n 3280).Results:We identified four distinct dietary patterns corresponding to different stages of the Peruvian nutrition transition, reflected by the foods frequently consumed in each pattern. Participants consuming the ‘stage 3’ diet, characterised by high proportional consumption of processed foods, animal products and low consumption of vegetables, mostly consumed in the semi-urban setting, showed the highest prevalence of all health outcomes (hypertension 32·1 %; T2DM 10·7 %; high BMI 75·1 %). Those with a more traditional ‘stage 1’ diet characterised by potato and vegetables, mostly consumed in the rural setting, had lower prevalence of hypertension (prevalence ratio; 95 CI: 0·57; 0·43, 0·75), T2DM (0·36; 0·16, 0·86) and high BMI (0·55; 0·48, 0·63) compared with the ‘stage 3’ diet. Incidence of hypertension was highest among individuals consuming the ‘stage 3’ diet (63·75 per 1000 person-years; 95 % CI 52·40, 77·55).Conclusions:The study found more traditional diets were associated with a lower prevalence of three common chronic diseases, while prevalence of these diseases was higher with a diet high in processed foods and low in vegetables.

Plant-Based Dietary Patterns and Incidence of Type 2 Diabetes

2019 ◽  
Vol 179 (11) ◽  
pp. 1604
Author(s):  
Clara Gómez-Donoso ◽  
Maira Bes-Rastrollo ◽  
Miguel A. Martínez-González
Keyword(s):  
Type 2 Diabetes ◽  
Dietary Patterns
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