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Dietary glycemic index and load and ...

Lin, Chii-Shy.

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Dietary glycemic index and load and their relationship to atherosclerotic cardiovascular disease.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Dietary glycemic index and load and their relationship to atherosclerotic cardiovascular disease./
作者:	Lin, Chii-Shy.
面頁冊數:	284 p.
附註:	Source: Dissertation Abstracts International, Volume: 72-04, Section: B, page: 2040.
Contained By:	Dissertation Abstracts International72-04B.
標題:	Health Sciences, Nutrition. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3445697
ISBN:	9781124491493

Dietary glycemic index and load and their relationship to atherosclerotic cardiovascular disease.
Lin, Chii-Shy.

Dietary glycemic index and load and their relationship to atherosclerotic cardiovascular disease. - 284 p.

Source: Dissertation Abstracts International, Volume: 72-04, Section: B, page: 2040.

Thesis (Ph.D.)--Boston University, 2011.

Background. Glycemic index (GI) and glycemic load (GL) classify dietary carbohydrate by postprandial glycemia, an independent risk factor of atherosclerotic cardiovascular disease (ASCVD). Previous studies primarily assessed GI and GL with food frequency questionnaires, and findings on the relationships with ASCVD were inconsistent.

ISBN: 9781124491493Subjects--Topical Terms:

1017801
Health Sciences, Nutrition.

Dietary glycemic index and load and their relationship to atherosclerotic cardiovascular disease.
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100 1 $a Lin, Chii-Shy. $3 1684869
245 1 0 $a Dietary glycemic index and load and their relationship to atherosclerotic cardiovascular disease.
300 $a 284 p.
500 $a Source: Dissertation Abstracts International, Volume: 72-04, Section: B, page: 2040.
500 $a Adviser: Martha E. Nunn.
502 $a Thesis (Ph.D.)--Boston University, 2011.
520 $a Background. Glycemic index (GI) and glycemic load (GL) classify dietary carbohydrate by postprandial glycemia, an independent risk factor of atherosclerotic cardiovascular disease (ASCVD). Previous studies primarily assessed GI and GL with food frequency questionnaires, and findings on the relationships with ASCVD were inconsistent.
520 $a Objectives. To develop methodology for deriving dietary GI and GL from NHANES 24-hour recalls, and evaluate associations of GI/GL with prevalence of ASCVD and its risk factors in sex-specific analyses.
520 $a Methods. Among NHANES 2003--06 non-diabetic adult participants (age ≥20 years), cross-sectional associations of GI/GL with cardio-metabolic risk factors were evaluated in 1199 men and 955 women, and with prevalent ASCVD in 1690 men and 1563 women aged 40 and older. Multivariable modeling was used to adjust for potential confounding by age, race, education, familial heart disease, smoking, physical activity, body mass index, hormone replacement therapy (women) and other dietary factors. Odds ratios (OR) with 95% confidence intervals (CI) for the highest vs lowest quintiles, and p values for trend, are reported.
520 $a Results. Dietary GI was positively associated with impaired fasting glucose (IFG. OR=1.82 [95% CI: 1.20--2.75], p=0.005), high triglyceride (OR=3.20 [1.21--8.47], p=0.012), and low high-density lipoprotein (HDL. OR=1.81 [1.06--3.08], p=0.006) in men, and with abdominal obesity (OR=2.68 [1.55--4.66], p=0.009) in women. Dietary GL was positively associated with low HDL (OR=5.28 [2.87--9.71], p<0.0001), 1FG (OR=2.03 [1.02--4.03], p=0.039) and metabolic syndrome (OR=2.42 [1.24--4.71], p=0.041) in men, and with high LDL (OR=3.34 [1.04--10.77], p=0.036) and low HDL (OR=8.52 [1.98--36.76], p=0,004) in women. In stratified multivariate analyses, associations of GI/GL with cardio-metabolic risk factors and ASCVD were weaker in obese individuals.
520 $a Conclusion. The results of this research indicate a positive association between high GI and GL diets with prevalence of selected predictors of ASCVD, particularly in men. Stronger association in men may be partially attributed to higher prevalence of cardiometabolic risk factors (except for abdominal obesity) in men. Weaker associations in obese individuals may be attributed to reverse causation in cross-sectional design, which may have confounded the associations in the main results and needs to be clarified in large prospective studies.
590 $a School code: 0017.
650 4 $a Health Sciences, Nutrition. $3 1017801
650 4 $a Health Sciences, Public Health. $3 1017659
650 4 $a Health Sciences, Epidemiology. $3 1019544
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690 $a 0766
710 2 $a Boston University. $3 1017454
773 0 $t Dissertation Abstracts International $g 72-04B.
790 1 0 $a Nunn, Martha E., $e advisor
790 $a 0017
791 $a Ph.D.
792 $a 2011
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3445697