Selected characteristics of MM patients and matched controls
| Characteristic . | MM patients (N = 174) . | Controls (N = 348) . |
|---|---|---|
| Age category, N (%) | ||
| 55-59 y | 44 (25.3) | 88 (25.3) |
| 60-64 y | 44 (25.3) | 88 (25.3) |
| 65-69 y | 59 (33.9) | 118 (33.9) |
| 70-74 y | 27 (15.5) | 54 (15.5) |
| Sex, N (%) | ||
| Female | 62 (35.6) | 124 (35.6) |
| Male | 112 (64.4) | 224 (64.4) |
| Race, N (%) | ||
| White, non-Hispanic | 158 (90.8) | 316 (90.8) |
| Black, non-Hispanic | 8 (4.6) | 16 (4.6) |
| Hispanic | 4 (2.3) | 8 (2.3) |
| Asian/Pacific Islander | 4 (2.3) | 8 (2.3) |
| Mean BMI, kg/m2 (SD) | 27.7 (5.2) | 27.2 (4.5) |
| Adiponectin, μg/mL, geometric mean (GSD) | 8.72 (1.81) | 9.60 (1.89)* |
| HMW adiponectin, μg/mL, geometric mean (GSD) | 4.97 (2.07) | 5.55 (2.18)* |
| Leptin, ng/mL, geometric mean (GSD) | 10.01 (2.64) | 9.60 (2.71) |
| Characteristic . | MM patients (N = 174) . | Controls (N = 348) . |
|---|---|---|
| Age category, N (%) | ||
| 55-59 y | 44 (25.3) | 88 (25.3) |
| 60-64 y | 44 (25.3) | 88 (25.3) |
| 65-69 y | 59 (33.9) | 118 (33.9) |
| 70-74 y | 27 (15.5) | 54 (15.5) |
| Sex, N (%) | ||
| Female | 62 (35.6) | 124 (35.6) |
| Male | 112 (64.4) | 224 (64.4) |
| Race, N (%) | ||
| White, non-Hispanic | 158 (90.8) | 316 (90.8) |
| Black, non-Hispanic | 8 (4.6) | 16 (4.6) |
| Hispanic | 4 (2.3) | 8 (2.3) |
| Asian/Pacific Islander | 4 (2.3) | 8 (2.3) |
| Mean BMI, kg/m2 (SD) | 27.7 (5.2) | 27.2 (4.5) |
| Adiponectin, μg/mL, geometric mean (GSD) | 8.72 (1.81) | 9.60 (1.89)* |
| HMW adiponectin, μg/mL, geometric mean (GSD) | 4.97 (2.07) | 5.55 (2.18)* |
| Leptin, ng/mL, geometric mean (GSD) | 10.01 (2.64) | 9.60 (2.71) |
GSD indicates geometric standard deviation.
P = .001 and .003 for total and HMW adiponectin, respectively. To account for the matched design, we used a bootstrap procedure that resampled each case and the 2 matched controls as the independent unit and computed the t test statistic for each bootstrap dataset for the log-transformed value of each analyte and for BMI. P values are based on the bootstrap distribution function with 5000 bootstrap replications.