Association between glycated hemoglobin and diet and other lifestyle factors in a nondiabetic population: cross-sectional evaluation of data from thePotsdam cohort of the European Prospective Investigation into Cancer and Nutrition Study

Citation
H. Boeing et al., Association between glycated hemoglobin and diet and other lifestyle factors in a nondiabetic population: cross-sectional evaluation of data from thePotsdam cohort of the European Prospective Investigation into Cancer and Nutrition Study, AM J CLIN N, 71(5), 2000, pp. 1115-1122
Citations number
51
Categorie Soggetti
Endocrynology, Metabolism & Nutrition","Endocrinology, Nutrition & Metabolism
Journal title
AMERICAN JOURNAL OF CLINICAL NUTRITION
ISSN journal
00029165 → ACNP
Volume
71
Issue
5
Year of publication
2000
Pages
1115 - 1122
Database
ISI
SICI code
0002-9165(200005)71:5<1115:ABGHAD>2.0.ZU;2-6
Abstract
Background: Glycation reactions of proteins and other compounds, depending on blood glucose concentrations, have a detrimental effect on health. Objective: The association of diet and other lifestyle factors with glycate d hemoglobin (Hb A(1c)) values was examined in a nondiabetic population. Design: This was a cross-sectional study of 1773 middle-aged men and women. Mean Hb A(1c) values were calculated for categories of diet and lifestyle factors, and odds ratios (ORs) for the highest versus lowest tertiles of Hb A(1c) were determined and compared. Results: The OR of being in the highest Hb A(1c) tertile compared with the lowest increased with greater age [age 40-44 y compared with >60 y: men (OR : 2.86; 95% CI: 1.60, 5.20) and women: (6.11; 3.15, 12.30)] and greater obe sity [body mass index (in kg/m(2)) > 25 and waist-hip ratio > 1.0 in men an d >0.8 in women): men (2.80; 1.48, 5.45) and women (1.73; 1.15, 2.61)]. Hig h energy and energy-adjusted saturated fat intakes were associated with inc reased risk of being in the highest tertile of Hb A(1c) [highest compared w ith lowest quintile: (1.53; 1.04, 2.26; P for trend = 0.013) and (1.98; 1.3 3, 2.95; P for trend = 0.003), respectively]. No significant associations w ere observed for intakes of carbohydrates, protein, dietary fiber, or beta- carotene; however, some of the associations were nearly significant. Alcoho l, vitamin C, and vitamin E intakes were inversely related to risk [highest compared with lowest quintile: (0.56; 0.38, 0.83; P for trend = 0.001), (0 .50; 0.33, 0.74; P for trend = 0.003), and (0.65; 0.43, 0.96; P for trend = 0.036), respectively]. Conclusion: Hb A(1c) values might be modifiable by diet and other lifestyle factors.