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Table 7 TESAOD analysis, coefficients refer to associations of standardized biomarker values with overweight and obese combined

From: Least absolute shrinkage and selection operator type methods for the identification of serum biomarkers of overweight and obesity: simulation and application

  Overweight and Obese
(N = 463 normal-weight, N = 372 overweight and obese)
  Lasso Adaptive LASSO Elastic Net Iterated LASSO Bootstrap-Enhanced LASSO-75 Weighted Fusion p^
Adiponectin −0.2143 −0.2770 −0.2210 −0.2827 −0.2334 −0.1985 **
Apolipoprotein H 0.0759 0.1047 0.0965 0.1028 0.1201 0.0628 **
Calcitonina 0.0461 0.0647 0.0657 0.0782 0.1076 0.0236 *
Soluble CD14 −0.1439 −0.2052 −0.1598 −0.2411 −0.1681 −0.1143 *
Complement 3 0.1094 0.1174 0.1313 0.1307 0.1337 0.0923 **
C-Reactive Protein 0.2968 0.4064 0.3015 0.4235 0.3485 0.2630 **
Ferritin 0.1036 0.0834 0.1068 0.1397 0.0701 0.0988 **
Growth Hormone −0.1155 −0.0898 −0.1181 −0.1430 −0.1529 −0.1158 **
Immunoglobulin M −0.0883 −0.1068 −0.0940 −0.1568 −0.0982 −0.0715 *
Interleukin-18 0.0404 0.0379 0.0588 0.0677 0.0798 0.0223 **
Leptin 0.3312 0.4337 0.3499 0.4554 0.4052 0.2861 **
Monocyte Chemotactic Protein-1 0.0283 0.0829 0.0451 0.0572 0.0927 0.0030 *
Myoglobin 0.2267 0.3195 0.2286 0.2983 0.2587 0.2115 **
Sex Hormone Binding Globulin −0.2827 −0.3609 −0.2739 −0.3612 −0.2703 −0.2593 **
Surfactant Protein D −0.1612 −0.2086 −0.1794 −0.2439 −0.2401 −0.1328 **
YKL-40 0.0284 0.0278 0.0434 0.0222 0.0654 0.0152 *
  1. aCategorized at median ^: p-value for univariate association from binary logistic regression; *: p < 0.05; **: p < 0.01