Showing 2 results for Factor Analysis
Ahmad Esmaill Zadeh, Seyed Masood Kimiagar, Yadollah Mehrabi, Leila Azadbakht,
Volume 5, Issue 1 (8-2005)
Abstract
Concept of dietary patterns is new in the filed of nutritional epidemiology. However, it has not been focused to the extent that foods or nutrients have been considered. Although, identifying the association between nutrients and foods intake with chronic diseases is valuable yet, recent evidences have shown that the clinical trials that have used nutrients are not too successful to indicate the effects of that nutrient on the disease risk. On the other hand, the studies used dietary patterns have shown the significant effects on disease risk. Therefore, using dietary patterns analysis is an efficient method to identify diet-disease relations. However, it should be kept in the mind that dietary patterns are different across gender, ethnics, cultures and regions. It is, therefore, recommended that investigators in different countries need to assess their own community dietary patterns and emphasize on these patterns when trying to reduce chronic disease risk. The current study has been conducted to review the studies that have assessed the association of dietary patterns and chronic disease risk.
Nooshin Poorsoltan, Yadollah Mehrabi, Zhaleh Shadman, Mahdieh Akhoundan, Arash Rashidi, Mohsen Khoshniat Nikoo,
Volume 14, Issue 1 (1-2015)
Abstract
Background: Physiological stress may affect eating habits and also foods intake may alter the physiological stress. According to the reports of high levels of serum cortisol as a stress biomarker in type 2 diabetic patients the aim of this study was to investigate the relationship between dietary patterns and serum cortisol concentration in type 2 diabetic patents.
Methods: This cross-sectional study was conducted on 241 type 2 diabetic patients in 2013. Major dietary patterns were obtained by factor analysis. Serum cortisol was measured at 8 am. Serum cortisol level was compared among tertiles of dietary patterns using ANCOVA adjusted for confounders (age, sex, BMI, and fasting blood glucose). Linear regression analysis was performed to assess the association between serum cortisol and scores of dietary patterns.
Results: Three major dietary patterns were identified as Western, healthy and healthy like. None of the variables age, waist circumference, body mass index, physical activity level, duration of diabetes and fasting blood glucose was significantly associated with serum cortisol. After adjustment for confounders, no statistically significant difference was found in mean serum cortisol among tertiles of dietary patterns or no statistically significant association between serum cortisol and dietary patterns scores. Mean serum cortisol was 12.95±5.10 nmol/L which was in normal range.
Conclusion: This study showed that in type 2 diabetic patients, normal levels of serum cortisol were not associated with the adherence to Western, Healthy and Healthy like dietary patterns.
