scholarly journals The association between dietary pattern and coronary artery disease: A case-control study

2020 ◽  
Vol 12 (4) ◽  
pp. 294-302
Author(s):  
Esmaeel Gholizadeh ◽  
Parvin Ayremlou ◽  
Sakineh Nouri Saeidlou

Introduction: Dietary patterns are an important factors in the progress of cardiovascular disease. This study aimed to assess the association between dietary patterns and coronary artery disease (CAD). Methods: A case-control study was carried on 550 participants. Food expenditure was collected using a validated 168-item food-frequency questionnaire. Dietary patterns were extracted by principal component analysis (PCA). Multiple logistic regressions was used to assess the association between dietary patterns and the risk of CAD. Results: Three major dietary patterns were identified: the "Quasi-Western Pattern" was characterized by higher intakes of sweets and desserts, snacks, legumes, honey or jam, ketchup, mayonnaise, yellow vegetables, potatoes, red meat, refined grains; the "Sugar and Fast foods Pattern" was characterized by higher intakes of sugar, soft drinks, fast foods, high-fat dairy, hydrogenated fats, and the "Quasi-Mediterranean Pattern" was characterized by higher intakes of fruits, cruciferous vegetables, green leafy vegetables, other vegetables, nuts, coffee. In both sexes, the "Quasi-Western Pattern" and the "Sugar and Fast foods Pattern" were positively associated with the risk of CAD. For "Quasi-Western Pattern", adjusted-ORs were (OR: 1.35, 95% CI: 0.99-1.83, P = 0.05) and (OR: 1.38, 95% CI: 1.03-1.83, P = 0.03)for men and women respectively. The ORs were for "Sugar and Fast foods Pattern" (OR: 3.64, 95% CI:2.25-5.89, P < 0.001) and (OR: 3.91, 95% CI: 2.42-6.63, P < 0.001) for men and women respectively.There was a significant inverse relationship among "Quasi-Mediterranean pattern" and CAD in the crude model in women (OR: 0.7, 95% CI: 0.55-0.89, P = 0.0.004). Conclusion: High adherence to the "Quasi-Western Pattern" and "Sugar-Fast foods Pattern" dietary patterns were associated with a higher risk of CAD. The "Quasi-Mediterranean pattern" reduced the risk of CAD.

2019 ◽  
Vol 8 (5) ◽  
pp. 677-685
Author(s):  
Til Bahadur Basnet ◽  
Cheng Xu ◽  
Manthar Ali Mallah ◽  
Wiwik Indayati ◽  
Cheng Shi ◽  
...  

Abstract There are well-known traditional risk factors for coronary artery disease (CAD). Among them, smoking is one of the most prominent and modifiable risk factors. This study aims to determine the magnitude of smoking as a risk factor for CAD in the Nepalese population. A hospital-based age- and sex-matched case–control study was carried out with a total of 612 respondents. Bivariate analysis showed that the risk of developing CAD in ex-smokers and current smokers was higher (odds ratio (OR): 1.81 (confidence interval (CI): 1.21–2.7) and OR: 5.2 (CI: 3.4–7.97)), with p-values less than 0.004 and &lt;0.00001, respectively, compared to the risk in never smokers. From stratified socio-demographic, cardio-metabolic, behavioural and psychosocial risk factor analysis, smoking was found to be associated with CAD in almost all subgroups. In the subsequent multivariate analysis, adjustment for socio-demographic, cardio-metabolic and psychosocial risk factors showed a steady increase in risk. However, further adjustment for behavioural risk factors (alcohol use and physical activity) showed that the risk was attenuated by 59% in current smokers. After adjusting for the covariates, current smokers and ex-smokers had an increased risk of CAD (OR: 6.64, 95% CI: 3.64–12.12, p &lt; 0.00001; OR: 1.89, 95% CI: 1.08–3.31, p &lt; 0.012, respectively) compared with non-smokers. In conclusion, smoking was found to increase the risk of CAD in the Nepalese population.


Nutrition ◽  
2019 ◽  
Vol 63-64 ◽  
pp. 98-105 ◽  
Author(s):  
Lana M. Agraib ◽  
Mohammed Azab ◽  
Abdel-Ellah Al-Shudifat ◽  
Sabika S. Allehdan ◽  
Nitin Shivappa ◽  
...  

2011 ◽  
Vol 72 (8) ◽  
pp. 636-640 ◽  
Author(s):  
Sara Galluzzo ◽  
Giuseppe Patti ◽  
Giordano Dicuonzo ◽  
Germano Di Sciascio ◽  
Giuseppe Tonini ◽  
...  

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