Table 1.
Characteristics of 744 adults overall and by presence or absence of hypertension in the Baltimore Longitudinal Study of Aging
| Characteristic* | Entire group (n = 744) | With hypertension (n = 235) | Without hypertension (n = 509) | P† | |
|---|---|---|---|---|---|
| Age, years, % | <50 | 15.5 | 20.0 | 5.5 | <0.0001 |
| 50–59 | 22.6 | 25.3 | 16.6 | ||
| 60–69 | 26.5 | 25.2 | 29.4 | ||
| 70–79 | 23.8 | 18.7 | 34.9 | ||
| ≥80 | 11.7 | 10.8 | 13.6 | ||
| Male gender, % | 49.9 | 54.5 | 47.7 | 0.09 | |
| Race, white, % | 65.7 | 55.7 | 70.3 | <0.0001 | |
| Current smoking, % | 4.6 | 4.6 | 4.5 | 0.92 | |
| Body mass index (kg/m2), % | <18.5 | 0.7 | 0.6 | 0.9 | <0.0001 |
| 18.5–24.9 | 34.8 | 40.3 | 23.0 | ||
| 25.0–29.9 | 38.2 | 36.9 | 40.8 | ||
| ≥30 | 26.3 | 22.2 | 35.3 | ||
| Waist circumference, cm | 92.0 (82.9, 100.4) | 90.2 (81.2, 91.8) | 95.4 (88.1, 97.3) | 0.0008 | |
| Metabolic syndrome, % | 25.4 | 37.5 | 16.7 | <0.0001 | |
| On angiotensin receptor blockers, % | 1.1 | 1.7 | 0.8 | 0.26 | |
| On angiotensin converting enzyme inhibitors, % | 14.6 | 34.9 | 5.3 | <0.0001 | |
| Serum fibroblast growth factor 21(pg/mL) | 227 (127, 371) | 269 (161, 457) | 208 (117, 335) | <0.0001 | |
| Total cholesterol, mg/dL | 193 (171, 216) | 193 (173, 216) | 192 (164, 216) | 0.15 | |
| HDL cholesterol, mg/dL | 55 (46, 68) | 54 (47, 69) | 56 (45, 66) | 0.16 | |
| LDL cholesterol, mg/dL | 115 (83, 138) | 110 (90, 133) | 117 (95, 139) | 0.05 | |
| Triglycerides, mg/dL | 89 (66, 123) | 95 (69, 133) | 87 (65, 119) | 0.03 | |
| C-reactive protein, μg/mL | 1.17 (0.75, 2.34) | 1.25 (0.87, 2.51) | 1.10 (0.64, 2.29) | 0.17 | |
| Fasting plasma glucose, mg/dL, % | ≤99 | 73.5 | 60.8 | 79.4 | <0.0001 |
| 100–125 | 23.1 | 33.2 | 18.5 | ||
| >125 | 3.4 | 6.0 | 2.1 | ||
| Estimated glomerular filtration rate, mL/(min·1.73m2) | 77.2 (64.4, 90.2) | 72.6 (59.1, 85.6) | 79.5 (65.9, 91.2) | <0.0001 | |
| Chronic kidney disease, % | 19.2 | 26.4 | 15.9 | 0.0008 | |
| Diabetes, % | 5.9 | 12.3 | 2.9 | <0.0001 | |
Values are median (25th, 75th percentile) for continuous variables, and % for categorical variables.
Kruskal Wallis test used for continuous variables, chi-square test used for categorical variables.