Table 2.
Baseline characteristics of participants after partition in quartiles according to IGF-1 concentrations.
| IGF-1 Quartiles | |||||
|---|---|---|---|---|---|
| Quartile 1 ≤89.5 ng/mL (n = 44) | Quartile 2 89.6–111.0 ng/mL (n = 44) | Quartile 3 111.1–143.0 ng/mL (n = 44) | Quartile 4 ≥143.1 ng/mL (n = 43) | p-Value for Trend | |
| Age (years) | 62 ± 8 | 62 ± 8 | 60 ± 11 | 57 ± 16 | 0.02 |
| Females (%) | 57 | 48 | 48 | 42 | 0.19 |
| BMI (kg/m²) | 32.0 ± 6.2 | 30.2 ± 4.0 | 30.3 ± 5.0 | 28.2 ± 4.4 | 0.001 |
| Office Systolic BP (mmHg) | 146 ± 15 | 142 ± 15 | 145 ± 15 | 139 ± 15 | 0.08 |
| Office Diastolic BP (mmHg) | 87 ± 10 | 87 ± 10 | 87 ± 11 | 88 ± 10 | 0.86 |
| 25(OH)D (ng/mL) | 19.7 ± 6.0 | 22.1 ± 5.7 | 21.9 ± 5.1 | 20.9 ± 5.4 | 0.35 |
| 1,25(OH)2D (pg/mL) | 47.9 ± 20.1 | 48.3 ± 17.3 | 52.5 ± 19.5 | 53.6 ± 18.9 | 0.10 |
| PTH (pg/mL) * | 55.2 (39.7–70.2) | 44.0 (35.6–55.5) | 53.1 (42.3–63.4) | 48.1 (38.5–63.4) | 0.94 |
| Serum calcium (mmol/L) | 2.36 ± 0.10 | 2.37 ± 0.11 | 2.36 ± 0.11 | 2.37 ± 0.10 | 0.87 |
| Serum phosphate (mmol/L) | 0.96 ± 0.14 | 0.96 ± 0.17 | 0.94 ± 0.18 | 0.96 ± 0.15 | 0.91 |
| Diabetes mellitus (%) | 52 | 34 | 25 | 30 | 0.02 |
| Fasting glucose (mg/dL) * | 121 (98–169) | 100 (92–134) | 96 (92–106) | 94 (88–122) | <0.001 |
| HbA1c (mmol/mol) * | 44 (38–57) | 41 (38–56) | 39 (36–45) | 40 (36–47) | 0.006 |
| HOMA-IR * | 2.49 (1.43–6.22) | 2.11 (1.42–3.44) | 1.72 (1.14–4.12) | 1.53 (1.03–3.03) | 0.23 |
| eGFR (mL/min/1.73m²) | 77.0 ± 20.1 | 80.0 ± 15.1 | 78.4 ± 18.7 | 80.1 ± 19.2 | 0.54 |
| Triglycerides (mg/dL) * | 116 (81–153) | 128 (83–185) | 126 (71–180) | 116 (68–135) | 0.46 |
| HDL-cholesterol (mg/dL) | 56 ± 13 | 58 ± 20 | 57 ± 19 | 57 ± 13 | 0.94 |
| LDL-cholesterol (mg/dL) | 104 ± 45 | 112 ± 42 | 120 ± 44 | 118 ± 30 | 0.08 |
| CRP (mg/L) * | 2.2 (1.0–4.9) | 2.0 (1.2–3.8) | 1.3 (0.9–2.6) | 1.5 (0.6–3.8) | 0.009 |
Data are shown as means with standard deviation, median, and interquartile range, or as percentages, whichever was appropriate. p-values for trends were calculated by ANOVA or chi-square test, whichever was appropriate. * Skewed variables for which logarithmic transformed values were used in ANOVA but untransformed values are shown in the table.