Table 2.
Subgroup analysis results of included studies
| Subgroup | No. of studies | Prevalence% (95% CI) | I2 | P |
|---|---|---|---|---|
| Overall | 18 | 0.28 (0.20, 0.37) | 99.7 | < 0.001 |
| Sex | < 0.001 | |||
| Male | 18 | 0.205(0.137,0.282) | 99.036 | |
| Female | 18 | 0.339(0.264,0.419) | 99.002 | |
| Age(years) | < 0.001 | |||
| 40–49 | 8 | 0.194 (0.089, 0.327) | 97.826 | |
| 50–59 | 14 | 0.206 (0.117, 0.311) | 98.655 | |
| 60–69 | 13 | 0.328 (0.214, 0.452) | 98.643 | |
| 70–79 | 6 | 0.297 (0.239, 0.358) | 87.170 | |
| ≥ 80 | 7 | 0.320 (0.209, 0.442) | 94.789 | |
| BMI | < 0.001 | |||
| < 24 | 6 | 0.233 (0.116, 0.375) | 99.025 | |
| 24 ≤ BMI < 28 | 6 | 0.446 (0.192, 0.716) | 99.550 | |
| ≥ 28 | 6 | 0.505 (0.290, 0.719) | 98.124 | |
| Sampling Resources | < 0.001 | |||
| Rural | 1 | 0.242 (0.221, 0.265) | ||
| Urban | 9 | 0.255 (0.202, 0.312) | 96.943 | |
| Urban and rural | 8 | 0.305 (0.172, 0.457) | 99.756 | |
| Study Region | < 0.001 | |||
| North China | 11 | 0.294 (0.189, 0.412) | 99.658 | |
| South China | 7 | 0.249 (0.185, 0.318) | 97.696 | |
| Altitude | < 0.001 | |||
| High altitude area | 5 | 0.444 (0.230, 0.669) | 99.630 | |
| Low altitude area | 13 | 0.218 (0.164, 0.277) | 99.020 |
BMI Body mass index