Table 1.
National incidence of traumatic humeral shaft fractures among the Chinese population by demographic, socio-economic and geographic factors in 2014.
| Items | Sample size | Incidence rate per 100 000 people (95% CI) | ||
|---|---|---|---|---|
| Male | Female | Total | ||
| Total | 512,187 | 9.63 (5.85, 13.4) | 4.75 (2.06, 7.44) | 7.22 (4.90, 9.55) |
| Age (years) | ||||
| 0–4 | 26,840 | 0 | 0 | 0 |
| 5–14 | 54,326 | 20.30 (4.06, 36.55) | 0 | 11.04 (2.21, 19.88) |
| 15–24 | 62,020 | 9.65 (−1.27, 20.57) | 0 | 4.84 (−0.64, 10.31) |
| 25–34 | 93,194 | 8.69 (0.17, 17.20) | 0 | 4.29 (0.09, 8.50) |
| 35–44 | 80,992 | 7.31 (−0.96, 15.59) | 0 | 3.70 (−0.50, 7.90) |
| 45–54 | 79,565 | 4.97 (−1.92, 11.86) | 7.63 (−1.00, 16.26) | 6.28 (0.77, 11.79) |
| 55–64 | 58,968 | 17.30 (2.14, 32.47) | 23.28 (6.03, 40.52) | 20.35 (8.84, 31.86) |
| 65–74 | 38,745 | 10.35 (−3.99, 24.70) | 10.30 (−3.97, 24.57) | 10.32 (0.21, 20.44) |
| 75+ | 17,537 | 0 | 0 | 0 |
| P-value for difference test | 512,187 | 0.464 | <0.001 | 0.009 |
| Ethnicity | ||||
| Han nationality | 477,508 | 7.33 (4.90, 9.76) | 9.50 (5.62, 13.39) | 2.10 (2.21, 7.98) |
| Other nationalities | 34,679 | 5.77 (−2.23, 13.76) | 11.36 (−4.38, 27.09) | 0 |
| P-value for difference test | 512,187 | 0.809 | 0.351 | 0.741 |
| Region | ||||
| East | 232,998 | 8.38 (3.18, 13.57) | 5.28 (1.06, 9.51) | 6.87 (3.50, 10.23) |
| Central | 99,109 | 0 | 2.03 (−1.95, 6.00) | 1.01 (−0.97, 2.99) |
| West | 180,080 | 16.59 (8.19, 24.98) | 5.58 (0.69, 10.47) | 11.11 (6.24, 15.97) |
| P-value for difference test | 512,187 | 0.008 | 0.617 | 0.011 |
| Urbanisation | ||||
| Urban area | 203,101 | 7.39 (3.65, 11.12) | 8.77 (3.04, 14.50) | 5.97 (1.19, 10.75) |
| Rural area | 309,086 | 7.12 (4.14, 10.09) | 10.19 (5.20, 15.18) | 3.95 (0.79, 7.10) |
| P-value for difference test | 512,187 | 0.718 | 0.469 | 0.902 |
| Occupation | ||||
| Office worker | 61,919 | 6.10 (−2.35, 14.56) | 3.43 (−3.29, 10.16) | 4.85 (−0.64, 10.33) |
| Farmer | 106,484 | 8.21 (0.16, 16.25) | 6.92 (0.14, 13.71) | 7.51 (2.31, 12.72) |
| Manual worker | 148,650 | 8.46 (2.19, 14.73) | 4.55 (−0.60, 9.70) | 6.73 (2.56, 10.90) |
| Retired | 30,366 | 6.74 (−6.47, 19.94) | 6.44 (−6.19, 19.07) | 6.59 (−2.54, 15.71) |
| Unemployed | 32,770 | 41.38 (0.84, 81.93) | 12.98 (−1.71, 27.68) | 21.36 (5.54, 37.18) |
| Preschool Children | 35,581 | 0 | 0 | 0 |
| Students | 80,443 | 14.17 (2.83, 25.51) | 0 | 7.46 (1.49, 13.43) |
| Other | 15,974 | 11.04 (−10.60, 32.67) | 0 | 6.26 (−6.01, 18.53) |
| P-value for difference test | 512,187 | 0.057 | 0.431 | 0.093 |
| Education (Preschool children and students were excluded) | ||||
| Illiterate | 74,937 | 14.51 (1.79, 27.23) | 12.35 (1.53, 23.18) | 13.34 (5.07, 21.62) |
| Primary school | 158,970 | 11.21 (3.89–18.54) | 6.35 (0.78–11.92) | 8.81 (4.19, 13.42) |
| Junior high school | 121,415 | 4.88 (−0.64, 10.40) | 3.34 (−1.29, 7.96) | 4.12 (3.30, 4.76) |
| Senior high school or above | 40,841 | 9.26 (−3.57, 22.10) | 0 | 4.90 (−1.89, 11.68) |
| P-value for trend test | 396,163 | 0.473 | 0.207 | 0.128 |