Table 2.
Demographic characteristic of the sample of the field test
| Number of subjects (%) | ||||
| Demographics | Healthy Subjects | Patient subjects | All Subjects | |
| Out-patients | In-patients | |||
| No. of subjects | 80 (29.3%) | 91 (33.3%) | 102 (37.3%) | 273 (100%) |
| Source of sampling: | ||||
| Northern China | 33 (41.3%) | 34 (37.4%) | 34 (33.3%) | 101 (37.0%) |
| Southern China | 47 (58.8%) | 57 (62.6%) | 68 (66.7%) | 172 (63.0%) |
| Gender | ||||
| Male | 40 (50.0%) | 46 (50.5%) | 51 (50.0%) | 137 (50.2%) |
| Female | 40 (50.0%) | 45 (49.5%) | 51 (50.0%) | 136 (49.8%) |
| Age (Years) | ||||
| Mean (SD) | 38.8 (14.1) | 39.1 (14.0) | 40.6 (14.6) | 39.6 (14.1) |
| range | 18–68 | 18–65 | 19–67 | 18–68 |
| Ethnic group | ||||
| Han | 74 (92.5%) | 84 (92.3%) | 95 (93.1%) | 253 (92.7%) |
| Hui | 4 (5.0%) | 6 (6.6%) | 5 (4.9%) | 15 (5.5%) |
| Others | 2 (2.5%) | 1 (1.1%) | 2 (2.0%) | 5 (1.8%) |
| Marital status | ||||
| Single | 30 (37.5%) | 26 (28.6%) | 21 (20.5%) | 77 (28.2%) |
| Married | 48 (60.0%) | 60 (65.9%) | 71 (69.6%) | 179 (65.6%) |
| Partnered | 0 (0.0%) | 1 (1.1%) | 5 (4.9%) | 6 (2.2%) |
| Separated/Divorced | 1 (1.25%) | 1 (1.1%) | 1 (1.0%) | 3 (1.1%) |
| Widowed | 1 (1.25%) | 2 (2.2%) | 2 (2.0%) | 5 (1.8%) |
| Missing | 0 (0.0%) | 1 (1.1%) | 2 (2.0%) | 3 (1.1%) |
| Education level | ||||
| Primary school | 2 (2.5%) | 6 (6.6%) | 10 (9.8%) | 18 (6.6%) |
| Middle school | 9 (11.25%) | 28 (30.8%) | 21(20.6%) | 58 (21.2%) |
| High school | 9 (11.25%) | 12 (13.2%) | 26 (25.5%) | 47 (17.2%) |
| Technical school | 5 (6.25%) | 9 (9.9%) | 13 (12.7%) | 27 (9.9%) |
| College diploma or degree | 11 (13.75%) | 15 (16.5%) | 16 (15.7%) | 42 (15.4%) |
| University degree or above | 44 (55.00%) | 20 (22.0%) | 15 (14.7%) | 79 (28.9%) |
| Other | 0 (0.0%) | 1 (1.1%) | 1 (1.0%) | 2 (0.7%) |
| Occupation: | ||||
| Worker | 10 (12.5%) | 18 (19.8%) | 22 (21.6%) | 50 (18.3%) |
| Farmer | 2 (2.5%) | 8 (8.8%) | 10 (9.8%) | 20 (7.3%) |
| Professionals | 32 (40.0%) | 21 (23.1%) | 12 (11.8%) | 65 (23.8%) |
| Student | 19 (23.8%) | 13 (14.3%) | 7 (6.9%) | 39 (14.3%) |
| Unemployed | 4 (5.0%) | 4 (4.4%) | 14 (13.7%) | 22 (8.1%) |
| Other | 11 (13.8%) | 25 (27.5%) | 33 (32.4%) | 69 (25.3%) |
| Missing | 2 (2.5%) | 2 (2.2%) | 4 (3.9%) | 8 (2.9%) |
| Living Arrangements: | ||||
| City | 62 (77.5) | 51 (56.0%) | 56 (54.9%) | 169 (61.9%) |
| County | 4 (5.0%) | 14 (15.4%) | 14 (13.7%) | 32 (11.7%) |
| Town | 1 (1.3%) | 10 (11.0%) | 13 (12.7%) | 24 (8.8%) |
| Rural area | 13 (16.3%) | 14 (15.4%) | 16 (15.7%) | 43 (15.8%) |
| Missing | 0 (0.0%) | 2 (2.2%) | 3 (2.9%) | 5 (1.8%) |
| Self-reported health status: | ||||
| Very poor | 0 (0.0) | 2 (2.2%) | 12 (11.8%) | 14 (5.1%) |
| Poor | 3 (3.8%) | 15 (16.5%) | 26 (25.5%) | 44 (16.1%) |
| Neither poor nor good | 20 (25.0%) | 40 (44.0%) | 38 (37.3%) | 98 (35.9%) |
| Good | 48 (60.0%) | 30 (33.0%) | 22 (21.6%) | 100 (36.6%) |
| Very good | 8 (10.0%) | 4 (4.4%) | 4 (3.9%) | 16 (5.9%) |
| Missing | 1 (1.3%) | 0 (0.0%) | 0 (0.0%) | 1 (0.4%) |