Table 1.
Characteristics of patients with TSCI from 2016 to 2021
| Years | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | Total |
|---|---|---|---|---|---|---|---|
| Age | |||||||
| 0–19 | 0 (0.00%) | 3 (0.64%) | 5 (1.07%) | 5 (1.07) | 6 (1.29%) | 5 (1.07%) | 24 (5.18%) |
| 20–29 | 5 (1.07%) | 6 (1.29%) | 7 (1.51%) | 19 (4.10) | 23 (4.96%) | 21 (4.53%) | 81 (17.49%) |
| 30–39 | 23 (4.96%) | 27 (5.83%) | 21 (4.53%) | 35 (7.55%) | 34 (7.34%) | 42 (9.07%) | 182 (39.30%) |
| 40–49 | 15 (3.23%) | 13 (2.80%) | 10 (2.15%) | 16 (3.45%) | 13 (2.80%) | 16 (3.45%) | 83 (17.92%) |
| 50–59 | 8 (1.72%) | 10 (2.15%) | 8 (1.72%) | 6 (1.29%) | 10 (2.15%) | 6 (1.29%) | 48 (10.36%) |
| ≥ 60 | 8 (1.72%) | 11 (2,73%) | 4 (0.86%) | 6 (1.29%) | 7 (1.51%) | 9 (1.94%) | 45 (9.71%) |
| Gender | |||||||
| Male | 49 (10.58%) | 54 (11.66%) | 41 (8.85%) | 67 (14.47%) | 68 (14.68) | 70 (12.43%) | 349 (75.37%) |
| Female | 10 (2.15%) | 16 (4.45%) | 14 (3.02%) | 20 (4.31%) | 25 (5.39%) | 29 (6.26%) | 114 (24.62%) |
| Education level | |||||||
| Illiterate | 6 (1.29%) | 3 (0.64%) | 1 (0.21%) | 0 (0.00%) | 1 (0.21%) | 1 (0.21%) | 12 (2.59%) |
| Elementary school | 23 (5.0%) | 17 (3.76%) | 10 (2.15%) | 10 (2.15%) | 18 (3.88%) | 11 (2.37%) | 89 (19.22%) |
| Middle school | 16 (3.45%) | 27 (5.83%) | 19 (4.10%) | 37 (7.99%) | 34 (7.34%) | 45 (9.71%) | 178 (38.44%) |
| High school | 4 (0.86%) | 11 (2.37%) | 12 (2.59%) | 18 (3.88%) | 21 (4.53%) | 24 (5.18%) | 90 (19.43%) |
| College or more | 10 (2.15%) | 12 (2.59%) | 13 (2.80%) | 22 (4.75%) | 19 (4.10%) | 18 (3.88%) | 94 (20.30%) |
| Occupation | |||||||
| Farmer | 11 (2.37%) | 8 (1.72%) | 9 (1.94%) | 18 (3.88%) | 13 (2.80%) | 17 (3.67%) | 76 (16.38%) |
| Worker | 22 (4.75%) | 19 (4.10%) | 14 (2.99%) | 24 (5.18%) | 28 (6.04%) | 32 (6.91%) | 139 (30.02%) |
| Government- offices | 6 (1.29%) | 10 (2.15%) | 8 (1.72%) | 14 (2.48%) | 14 (3.02%) | 16 (3.45%) | 68 (14.68%) |
| Retired | 5 (1.07%) | 6 (1.29%) | 4 (0.86%) | 4 (0.86%) | 5 (1.07%) | 5 (1.07%) | 29 (6.26%) |
| Students | 2 (0.43%) | 2 (0.43%) | 5 (1.07%) | 10 (2.15%) | 11 (2.37%) | 8 (1.72%) | 38 (8.20%) |
| Others* | 13 (2.80%) | 25 (5.39%) | 15 (3.23%) | 17 (3.67%) | 22 (4.75%) | 21 (4.53%) | 113 (24.40%) |
| Etiology | |||||||
| Traffic accidents | 22 (4.75%) | 24 (5.18%) | 24 (4.18%) | 41 (8.85%) | 42 (9.07%) | 47 (10.15%) | 178 (38.44%) |
| Low fall | 10 (2.15%) | 9 (1.94%) | 12 (2.59%) | 13 (2.80%) | 24 (5.18%) | 21 (4.53%) | 111 (23.97%) |
| High fall | 12 (2.59%) | 16 (3.45%) | 4 (0.86%) | 12 (2.59%) | 7 (1.21%) | 10 (2.15%) | 61 (13.17%) |
| Falling objects | 7 (1.51%) | 8 (1.72%) | 7 (1.51%) | 9 (1.94%) | 4 (0.86%) | 3 (0.64%) | 38 (8.20%) |
| Machinery-injury | 6 (1.29%) | 10 (2.15%) | 5 (1.07%) | 6 (1.29%) | 12 (2.59%) | 13 (2.80%) | 52 (11.23%) |
| Sport | 2 (0.43%) | 3 (0.64%) | 3 (0.64%) | 6 (1.29%) | 4 (0.86%) | 5 (1.07%) | 23 (4.96%) |
| Marital status | |||||||
| Married | 41 (8.85%) | 51 (11.01%) | 31 (6.69%) | 56 (12.09%) | 62 (13.39%) | 73 (15.76%) | 314 (67.81%) |
| Unmarried | 13 (2.80%) | 9 (1.94%) | 15 (3.23%) | 21 (4.53%) | 21 (4.53%) | 19 (4.10%) | 98 (21.16%) |
| Divorced | 1 (0.21%) | 8 (1.72%) | 6 (1.29%) | 8 (1.72%) | 6 (1.29%) | 4 (0.86%) | 33 (7.12%) |
| Widowed | 4 (0.86%) | 2 (0.43%) | 3 (0.64%) | 2 (0.43%) | 4 (0.86%) | 3 (0.64%) | 18 (3.88%) |
| Ethic groups | |||||||
| Han | 54 (11.66%) | 62 (13.39%) | 44 (9.50%) | 82 (17.71%) | 89 (19.22%) | 86 (18/57%) | 417 (90.05%) |
| Zhuang | 1 (0.21%) | 4 (0.86%) | 4 (0.86%) | 2 (0.43%) | 1 (0.21%) | 4 (0.86%) | 16 (3.43%) |
| Miao | 2 (0.43%) | 3 (0.64%) | 4 (0.86%) | 2 (0.43%) | 1 (0.21%) | 4 (0.86%) | 16 (3.43%) |
| Tujia | 2 (0.43%) | 1 (0.21%) | 3 (0.64%) | 1 (0.21%) | 2 (0.43%) | 5 (1.07%) | 14 (2.99%) |
Other* included unemployed individuals and self-employed individuals