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      A prospective study of dietary glycemic load, carbohydrate intake, and risk of coronary heart disease in US women

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          Abstract

          Little is known about the effects of the amount and type of carbohydrates on risk of coronary heart disease (CHD). The objective of this study was to prospectively evaluate the relations of the amount and type of carbohydrates with risk of CHD. A cohort of 75521 women aged 38-63 y with no previous diagnosis of diabetes mellitus, myocardial infarction, angina, stroke, or other cardiovascular diseases in 1984 was followed for 10 y. Each participant's dietary glycemic load was calculated as a function of glycemic index, carbohydrate content, and frequency of intake of individual foods reported on a validated food-frequency questionnaire at baseline. All dietary variables were updated in 1986 and 1990. During 10 y of follow-up (729472 person-years), 761 cases of CHD (208 fatal and 553 nonfatal) were documented. Dietary glycemic load was directly associated with risk of CHD after adjustment for age, smoking status, total energy intake, and other coronary disease risk factors. The relative risks from the lowest to highest quintiles of glycemic load were 1.00, 1.01, 1. 25, 1.51, and 1.98 (95% CI: 1.41, 2.77 for the highest quintile; P for trend < 0.0001). Carbohydrate classified by glycemic index, as opposed to its traditional classification as either simple or complex, was a better predictor of CHD risk. The association between dietary glycemic load and CHD risk was most evident among women with body weights above average ¿ie, body mass index (in kg/m(2)) >/= 23. These epidemiologic data suggest that a high dietary glycemic load from refined carbohydrates increases the risk of CHD, independent of known coronary disease risk factors.

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          Most cited references38

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          Plasma triglyceride level is a risk factor for cardiovascular disease independent of high-density lipoprotein cholesterol level: a meta-analysis of population-based prospective studies.

          Despite nearly 40 years of research, the role of plasma triglyceride as a risk factor for cardiovascular disease remains elusive. The objectives of the present study were to quantify the magnitude of the association between triglyceride and cardiovascular disease in the general population, and to determine whether this relationship is independent of high-density lipoprotein (HDL) cholesterol, using the semi-quantitative techniques of metaanalysis. Seventeen studies were selected for the analysis based on published reports of population-based, prospective studies, including 46413 men and 10864 women. To insure comparability, only studies reporting the association between fasting triglyceride levels and incident cardiovascular endpoints were included. Using standard meta-analysis calculations, relative risks (RR) and 95% confidence intervals (CI) were calculated and standardized with respect to a 1 mmol/l increase in triglyceride. Multivariable-adjusted RRs were determined for the six studies in men and two studies in women that reported adjustments for HDL cholesterol. For men and women, the univariate RRs for triglyceride were 1.32 (95% Cl 1.26-1.39) and 1.76 (95% Cl 1.50-2.07), respectively, indicating an approximately 30% increased risk in men and a 75% increase in women. Adjustment of HDL cholesterol and other risk factors attenuated these RRs to 1.14 (95% Cl 1.05-1.28) and 1.37 (95% Cl 1.13-1.66), respectively, which were still statistically significant values. Based on combined data from prospective studies, triglyceride is a risk factor for cardiovascular disease for both men and women in the general population, independent of HDL cholesterol. These finding demonstrate the necessity for clinical trials to evaluate whether lowering plasma triglyceride decreases the risk of cardiovascular disease.
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            Food-based validation of a dietary questionnaire: the effects of week-to-week variation in food consumption.

            The reproducibility and validity of responses for 55 specific foods and beverages on a self-administered food frequency questionnaire were evaluated. One hundred and seventy three women from the Nurses' Health Study completed the questionnaire twice approximately 12 months apart and also recorded their food consumption for seven consecutive days, four times during the one-year interval. For the 55 foods, the mean of correlation coefficients between frequencies of intake for first versus second questionnaire was 0.57 (range = 0.24 for fruit punch to 0.93 for beer). The mean of correlation coefficients between the dietary records and first questionnaire was 0.44 (range = 0.09 for yellow squash to 0.83 for beer and tea) and between the dietary records and the second questionnaire was 0.52 (range = 0.08 for spinach to 0.90 for tea). Ratios of within- to between-person variance for the 55 foods were computed using the mean four one-week dietary records for each person as replicate measurements. For most foods this ratio was greater than 1.0 (geometric mean of ratios = 1.88), ranging from 0.25 (skimmed milk) to 14.76 (spinach). Correlation coefficients comparing questionnaire and dietary record for the 55 foods were corrected for the within-person variation (mean corrected value = 0.55 for dietary record versus first questionnaire and 0.66 versus the second). Mean daily amounts of each food calculated by the questionnaire and by the dietary record were also compared; the observed differences suggested that responses to the questionnaire tended to over-represent socially desirable foods. This analysis documents the validity and reproducibility of the questionnaire for measuring specific foods and beverages, as well as the large within-person variation for food intake measured by dietary records. Differences in the degree of validity for specific foods revealed in this type of analysis can be useful in improving questionnaire design and in interpreting findings from epidemiological studies that use the instrument.
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              Dietary Fiber, Glycemic Load, and Risk of NIDDM in Men

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                Author and article information

                Journal
                The American Journal of Clinical Nutrition
                Oxford University Press (OUP)
                0002-9165
                1938-3207
                June 2000
                June 01 2000
                June 2000
                June 01 2000
                : 71
                : 6
                : 1455-1461
                Affiliations
                [1 ]From the Departments of Epidemiology and Nutrition, the Harvard School of Public Health; the Channing Laboratory; and the Division of Preventive Medicine, the Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston.
                Article
                10.1093/ajcn/71.6.1455
                10837285
                e563fceb-6700-414e-9d58-b8195143f2d8
                © 2000
                History

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