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. 2017 Dec 6;12(12):e0189232. doi: 10.1371/journal.pone.0189232

Table 1. Correlation analysis of PsiMS score variants with sums of Z scores of factors and weighted sum of factors derived from principal component analysis*.

Score
Original siMS PsiMS v1 PsiMS v2 PsiMS v3 PsiMS v4
Sum of Z scores (Gly) .790 .800 .756 .769 .706
Sum of Z scores (HOMA-IR) .782 .792 .745 .757 .792
Sum of Z scores (Gly) with waist percentiles .785 .794 .766 .777 .692
Sum of Z scores (HOMA-IR) with waist percentiles .785 .794 .761 .771 .787
First component PCA (Gly) .880 .890 .878 .889 .651
PCA (Gly) .869 .893 .837 .863 .709
First component PCA (HOMA-IR) .863 .867 .859 .864 .764
PCA (HOMA-IR) .878 .891 .849 .864 .839
First component PCA (Gly) with waist percentiles .892 .901 .904 .913 .655
PCA (Gly) with waist percentiles .865 .892 .847 .876 .723
First component PCA (HOMA-IR) with waist percentiles .885 .889 .887 .892 .795
PCA (HOMA-IR) with waist percentiles .855 .869 .831 .847 .856

*all p values are <0.001; PCA—Principal Component Analysis; Each sum of Z scores was calculated as a sum of Z scores of each metabolic syndrome component regressed for age and gender, using either glucose or HOMA-IR as one of the components.

OriginalsiMS-siMSscore=2xWaistHeight+Gly5.6+Tg1.7+TAsystolic130-HDL1.02or1.28(male/female)
PsiMSv1-PsiMSvariant1=2xWaistHeight+Gly5.6+Tg1.7+TAsystolic130-HDL1.02
PsiMSv2-PsiMSvariant2=Waistpercentile90+Gly5.6+Tg1.7+TAsystolic130-HDL1.02or1.28(male/female)
PsiMSv3-PsiMSvariant3=Waistpercentile90+Gly5.6+Tg1.7+TAsystolic130-HDL1.02
PsiMSv4-PsiMSvariant4=2xWaistHeight+HOMAIR2.85+Tg1.7+TAsystolic130-HDL1.02or1.28(male/female)