| Title: |
Fat consumption and HbA(1c) levels: the EPIC-Norfolk study. |
| Authors: |
Harding A; Sargeant LA; Welch A; Oakes S; Luben RN; Bingham S; Day NE; Khaw K; Wareham NJ; Harding, A H; Sargeant, L A; Welch, A; Oakes, S; Luben, R N; Bingham, S; Day, N E; Khaw, K T; Wareham, N J; EPIC-Norfolk Study |
| Source: |
Diabetes Care; Nov2001, Vol. 24 Issue 11, p1911-1916, 6p |
| Abstract: |
Objective: To describe the relationship between total dietary fat and the pattern of fat intake and HbA(1c).Research Design and Methods: In this cross-sectional study, 2,759 men and 3,464 women (40-78 years of age) without a previous diagnosis of type 2 diabetes were recruited from a population-based sampling frame. Diet was assessed using a self-reported semiquantitative food frequency questionnaire.Results: The HbA(1c) level was negatively associated with the polyunsaturated fat-to-saturated fat ratio (P:S ratio) of the diet (beta = -0.0338 HbA(1c)% per SD change in P:S ratio; P < 0.001) and positively associated with the total level of fat intake (beta = 0.0620 HbA(1c)% per SD change in total fat intake; P < 0.001), adjusted for age and total energy intake. The associations remained significant when adjusted for each other and for total energy, protein, age, sex, family history of diabetes, BMI, waist-to-hip ratio, physical activity, and smoking (for P:S ratio, beta = -0.0200 HbA(1c)% per SD change in P:S ratio, P = 0.013; for total fat, beta = 0.420% HbA(1c)% per SD change in total fat intake, P < 0.001). The benefits from a high P:S ratio were attributed to a lower saturated fat intake.Conclusions: These findings demonstrate independent associations between HbA(1c) concentration across the normal range of HbA(1c) and both total fat intake and the pattern of dietary fat intake. They provide further support to efforts promoting modifications in the intake of dietary fat. [ABSTRACT FROM AUTHOR] |
| : |
Copyright of Diabetes Care is the property of American Diabetes Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Complementary Index |