Table 1.
Demographics of respondents
| All respondents (n=1305) | Clinical medical history (n=311) | No clinical medical history (n=994) | P-value | |
|---|---|---|---|---|
| Sex | ||||
| Male | 564(43.22%) | 156(50.16%) | 408(41.05%) | <.001* |
| Female | 741(56.78%) | 155(48.84%) | 586(58.95%) | 0.009* |
| Age (years old) | ||||
| ≤35 | 716(54.87%) | 71(22.83%) | 645(49.43%) | <.001* |
| ≥36 or ≤55 | 409(31.34%) | 120(38.59%) | 289(22.15%) | <.001* |
| ≥56 | 180(13.79%) | 120(38.59%) | 60(4.60%) | 0.271 |
| Anthropometric measurements | ||||
| Height (SD, cm) | 163.38(20.62) | 162.52(27.06) | 163.65(18.19) | <.001* |
| Weight (SD, kg) | 69.74(25.78) | 72.37(26.68) | 68.93(25.45) | <.001* |
| BMI (SD, kg/m2) | 29.564(32.24) | 32.09(34.97) | 28.78(31.33) | <.001* |
| Socio-demographics | ||||
| Smoking history | 260(19.92%) | 101(32.48%) | 159(16.00%) | 0.192 |
| Drinking history | 568(43.52%) | 157(50.48%) | 411(41.35%) | 0.002* |
| Employment status | 1131(86.67%) | 202(64.95%) | 929(93.46%) | <.001* |
| Educational background | ||||
| No | 45(3.45%) | 32(10.29%) | 13(1.31%) | 0.942 |
| Low-level | 454(34.79%) | 142(45.66%) | 312(31.39%) | <.001* |
| High-level | 806(61.76%) | 137(44.05%) | 669(67.30%) | 0.040* |
Data with SD indicates “mean” value. Data without SD indicates “count”.
*p< 0.05