Table 2.
Distribution of different parameters among males and females
| Male (245) n (%) | Females (206) n (%) | Total (451) n (%) | P value | |
|---|---|---|---|---|
| Co-morbid illnesses | ||||
| None | 144 (59) | 123 (60) | 267 (59.2) | |
| Diabetes | 29 (11.8) | 22 (10.6) | 51 (11.3) | 0.86 |
| Hypertension | 42 (17.1) | 35 (16.9) | 77 (17) | 0.83 |
| Dyslipidemia | 7 (2.8) | 3 (1.4) | 10 (2.2) | 0.42 |
| Addictions | ||||
| None | 118 (48.1) | 196 (95.1) | 314 (69.6) | |
| Yes | 127 (51.9) | 10 (4.8) | 137 (30.3) | <0.001* |
| BMI (kg/m 2 ) | ||||
| Normal (18.5-23) | 77 (31.4) | 58 (28.2) | 135 (29.9) | |
| Underweight (<18.5) | 48 (19.8) | 41 (19.9) | 89 (19.7) | 0.67 |
| Overweight (23.1-27.5) | 85 (35.1) | 48 (23.3) | 133 (29.4) | 0.23 |
| Obese (>27.5) | 34 (14) | 60 (29.1) | 94 (20.8) | 0.002 |
| Systolic blood pressure (mmHg) | ||||
| Normal <130 | 179 (73.1) | 139 (67.8) | 318 (70.5) | |
| ≥130 | 66 (26.9) | 67 (32.5) | 133 (29.4) | 0.22 |
| Diastolic blood pressure (mmHg) | ||||
| Normal <85 | 211 (86.1) | 182 (88.3) | 393 (87.1) | |
| Abnormal ≥ 85 | 34 (13.9) | 24 (11.9) | 58 (12.9) | 0.53 |
| Waist circumference (cm) | ||||
| Normal | 138 (56.3) | 54 (26.2) | 192 (82.5) | |
| Central obesity | 107 (43.7) | 152 (73.8) | 259 (57.4) | <0.001* |
| Waist hip ratio (cm) | ||||
| Normal | 71 (29) | 87 (42.2) | 158 (35) | |
| Abnormal | 174 (71) | 119 (57.8) | 293 (65) | 0.003* |
| Body fat percent | ||||
| Normal | 40 (16.3) | 34 (16.5) | 74 (16.4) | |
| Underweight | 3 (1.2) | 8 (3.8) | 11 (2.4) | 0.11 |
| Overweight | 146 (59.5) | 117 (56.7) | 263 (58.3) | 0.82 |
| Significantly overweight | 56 (22.8) | 47 (22.8) | 103 (22.8) | 0.96 |
| Muscle Mass (%) | ||||
| Normal | 68 (27.7) | 59 (28.6) | 127 (28.1) | |
| Low | 5 (2) | 28 (13.6) | 33 (7.3) | 0.001* |
| High | 150 (61.2) | 141 (68.4) | 291 (64.5) | 0.70 |
| Random blood glucose (mg/dl) | ||||
| Normal < 200 | 214 (87.3) | 182 (88.3) | 396 (87.8) | |
| Abnormal ≥ 200 | 31 (12.7) | 24 (11.7) | 55 (12.2) | 0.73 |
*p value <0.05, associations determined by uni-variable logistic regression.