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. 2019 Nov 5;150(3):579–591. doi: 10.1093/jn/nxz270

TABLE 2.

Percentage of variation in the intermediate response variables and food variables explained by the dietary patterns derived by multiple statistical methods among 1246 participants of the Study of Women's Health Across the Nation (USA), 1996–20131

Explained variation in intermediate response variables,2 %
Plasma CRP Plasma PAI-1 Both CRP and PAI-1 Explained variation in food groups, % Explained variation in CCA-IMT, % Explained variation in CCA-AD, % Explained variation in the carotid plaque index, %
PCA
 PCA-Western 1.43 0.00 0.72 10.7 0.273 0.101 0.0391
 PCA-Prudent 2.07 1.21 1.63 6.49 0.550 0.667 0.194
Both PCA patterns 3.50 1.21 2.35 17.2 0.823 0.769 0.233
RRR-Western 12.5 4.20 8.32 3.65 3.97 2.00 0.227
PLS-Western 8.41 1.89 5.15 8.06 3.46 1.77 0.209
1

The dietary patterns were derived using the energy-adjusted food groups averaged across available visits of baseline (1996–1997), Visit 5 (2001–2003), and Visit 9 (2005–2007). The sample size for reduced rank regression and partial least squares regression was 1015 due to missing data on the intermediate response variables.

2

The intermediate response variables were the log-transformed values at Visit 6 (2002–2004).

AD, adventitial diameter; CCA, common carotid artery; CRP, C-reactive protein; IMT, intima-media thickness; PAI-1, plasminogen activator inhibitor 1; PCA, principal component analysis; PLS, partial least squares regression; RRR, reduced rank regression.