Table 1.
List of analyzed blood proteins and steroid hormones.
Table 2.
Characteristics of study subjects.
Figure 1.
The predicting power of blood analytes for weight loss maintenance by Logistic Regression.
Volcano plot of the significance P-value versus odd ratio exp(B) of blood proteins/steroids for predicting continued weight loss during the 6-month maintenance period by logistic regression controlled for age and the fold change of weight. The symbols of the analytes are listed in Table 1. Suffix “_1”: concentration at CID1, “_2”: concentration at CID2, “_12”: the fold change of concentration CID2/CID1. The analytes are grouped as in Table 1 and marked in different shape/color.
Table 3.
Logistic regression models to predict continued weight loss during the 6-month maintenance period.
Figure 2.
Top 15 important predictors for weight loss maintenance identified by Random Forest.
A. The variables are ranked by the average of 10 runs on the mean decrease in classification accuracy (MDA) or by the mean decrease in classification Gini impurity (MDG). Suffix “_1”: concentration at CID1, “_2”: concentration at CID2, “_12”: fold change of the concentration (CID2/CID1). The symbol of blood analytes are listed in Table 1. B. Classification plot of continued weight-losers (red dots) and weight-regainers (blue triangles) during weight maintenance in pooled subjects (n = 96) by the top15 important variables.
Figure 3.
The relation between weight maintenance score and the fold change of ACE during weight loss.
Boxplot shows the quartile range of weight maintenance score with outliers (in circle) across tertile of the fold change of ACE during weight loss, for subjects with low (≤9.6µmol/L, n = 48, blank bar) and with high (>9.6 µmol/L n = 47, grey bar) baseline fibrinogen level. The variation of weight maintenance score attributed to the fold change of ACE, p = 0.478 in low group and p = 0.014 in high group, was tested by one-way ANOVA controlled for age and the fold change of weight, and Bonferroni test for multiple comparisons. *T3 significantly different from T1 in high fibrinogen group, p = 0.013.
Figure 4.
Predictors having interaction with dietary components for the outcome of weight maintenance.
Boxplots show the quartile range of the blood analytes without outliers for continued weight-losers (blank bar) and weight-regainers (grey bar) in each dietary group. The p-value above the chart is the significance of the interaction between dietary protein/GI and the concentration/change of the blood analyte with respect to the outcome of weight maintenance (weight-loss or -regain). The p-values under the chart is the significance of the prediction of the variable inside the subgroups. All were obtained by logistic regression (controlled for age and the fold change of weight). A. predictors having interaction with dietary protein levels. LP: low protein, HP: high protein. B. predictors having interaction with dietary glycemic index (GI) levels. LGI: low GI, HGI: high GI.
Table 4.
Significant correlations between ACE and measures of obesity and other blood analytes.