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. 2020 Mar 3;44(6):1387–1396. doi: 10.1038/s41366-020-0558-y

Table 3.

Multivariate regression analysis between brown adipose tissue density (BAT-d) and anthropometric and lipid metabolites in winter.

Male, n = 23 Women, n = 23
Univariate regression Multivariate regression Univariate regression Multivariate regression
Dependent variable: BAT-d (µM) r 95% CI P B Standardized β P r 95% CI P B Standardized β P
Age (years) −0.05a −0.46 to 0.37 8.1 × 10−1 −0.32b −0.65 to 0.12 1.4 × 10−1
BMI (kg/m2) −0.70b −0.87 to −0.40 1.8 × 10−4 −0.60a −0.81 to −0.25 2.3 × 10−3
%BF (%) −0.62a −0.82 to −0.28 1.5 × 10−3 −0.54a −0.78 to −0.17 7.7 × 10−3
VFA (cm2) −0.71b −0.88 to −0.38 4.7 × 10−4 −0.61b −0.83 to −0.21 4.5 × 10−3 −0.70 −0.64 2.2 × 10−3
Androgens 0.75b 0.48 to 0.89 3.5 × 10−5 6550.48 0.78 5.3 × 10−5 0.36b −0.08 to 0.68 9.3 × 10−2
DG(36:1) −0.36b −0.68 to 0.08 9.4 × 10−2 −0.41b −0.71 to 0.02 5.3 × 10−2
PE(46:2) 0.62b 0.26 to 0.83 1.7 × 10−3 −0.02b −0.44 to 0.41 9.4 × 10−1

BMI body mass index, %BF percentage of body fat, Androgens testosterone, androstanedione, dehydroandrosterone, dehydroepiandrosterone, or epitestosterone, DG diacylglycerol, PE phosphatidylethanolamine.

aPearson’s product moment correlation coefficient.

bSpearman’s rank correlation coefficient.