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. Author manuscript; available in PMC: 2013 Nov 1.
Published in final edited form as: Metabolism. 2012 May 26;61(11):1572–1581. doi: 10.1016/j.metabol.2012.04.007

Table 4.

Low-fat dietary pattern and risk of metabolic syndrome components at years 1, 3 and 6 post-randomization among adherent participants in the Women’s Health Initiative Dietary Modification Trial

Follow-up Odds ratios (95% Confidence Intervals) for Metabolic Syndrome

Intervention Comparison OR (95% CI)1

no. cases (%) no. cases (%)
Year 1 37 (7.8) 114 (12.0) 0.68 (0.45, 1.03)
Year 3 41 (10.6) 131 (15.4) 0.76 (0.51, 1.12)
Year 6 50 (16.2) 141 (17.4) 0.94 (0.64, 1.38)
Changes in post-randomization metabolic syndrome components

Intervention (n=491) Comparison (n=993)
N Mean change SD % Change2 N Mean change SD % Change P3
Year 1 <.0001
Diastolic BP (mm Hg) 490 −1.4 7.8 −1.9% 989 −1.3 8.9 −1.7%
Systolic BP (mm Hg) 491 −1.3 14.0 −1.0% 989 −2.0 15.5 −1.6%
Glucose (mmol/L) 446 −0.1 0.7 −1.8% 919 0.03 0.9 0.6%
HDL-C (mmol/L) 446 −0.05 0.2 −3.1% 913 0.01 0.2 0.6%
Triglyceride (mmol/L) 447 0.1 0.5 4.9% 915 0.06 0.5 4.2%
Waist (cm) 487 −1.8 5.8 −2.1% 974 0.08 642 0.1%
Year 3 0.05
Diastolic BP (mm Hg) 422 −1.6 8.9 −2.1% 938 −1.7 8.9 −2.3%
Systolic BP (mm Hg) 421 1.0 15.2 0.8% 938 −1.1 15.4 −0.86%
N Mean change SD % Change N Mean change SD % Change P
Glucose (mmol/L) 363 −0.1 0.9 −2.3% 813 0.03 0.7 0.62%
HDL-C (mmol/L) 363 −0.04 0.3 −2.6% 810 −0.02 0.3 −1.16%
Triglyceride (mmol/L) 364 −0.07 0.5 4.7% 812 0.09 0.6 6.4%
Waist (cm) 355 −0.4 6.1 −0.4% 787 1.2 8.3 1.5%
Year 6 0.06
Diastolic BP (mm Hg) 338 −2.9 9.7 −3.9% 881 −3.3 9.7 −4.3%
Systolic BP (mm Hg) 338 1.7 16.9 1.4% 882 −1.1 17.4 −0.8%
Glucose (mmol/L)) 287 0.03 1.0 0.5% 777 0.2 1.3 4.4%
HDL-C (mmol/L) 288 −0.1 0.3 −4.8% 775 −0.1 0.3 −3.2%
Triglyceride (mmol/L ) 288 0.1 0.6 5.2% 778 0.1 0.7 3.7%
Waist (cm) 253 1.3 6.6 1.5% 666 2.7 8.4 3.2%
1

Logistic regression models are adjusted for age, race/ethnicity, history of diabetes, physical activity, baseline use of cholesterol lowering or hypertension medications (see text for details)

2

% change from baseline was calculated as mean change from baseline divided by the mean value at baseline.

3

P-value was calculated based on multivariate regression model using the five components of Metabolic Syndrome simultaneously in continuous scales as outcomes, adjusted for age, race/ethnicity, history of diabetes, physical activity, use of hypertension or cholesterol medications at baseline. The multivariate regression model provides an overall test for the intervention impact on all five components as a whole. Adherence was defined based in participation in intervention activities (see text for details).