From: Autism prevalence in China is comparable to Western prevalence
Year | First author | Region | Sample size | Area | Age | Sample screened | Screen methods | Screen tools | Cut-off | Response rate | P/R | Diagnostic tools | Diagnostic criteria | Childhood autism prevalence/SE (per 10,000) | ASC prevalence/SE (per 10,000) |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1987 | Tao [25] | Mainland | 457,200 | Urban | 3–8 | C | R | N/A | N/A | N/A | R | N/A | Rutter | 0.32 (0.08) | – |
2000 | Luo [51] | Mainland | 10,802 | Mixed | 2–14 | SG | QI | ABC | 31 | 100% | P | N/A | CCMD-2-R, DSM-III-R | 2.8 (1.60) | – |
2002 | Wang [30] | Mainland | 3.978 | Urban | 2–6 | K | QI | CABS* | 7 | 98.3% | P | CARS | CCMD-2-R | 17.9 (6.70) | – |
2002 | Ren [43] | Mainland | 3559 | Urban | 3–5 | SG | QI | CABS | 14 | 99.1% | P | N/A | N/A | 250 (2.31) | – |
2003 | Wang[52] | Mainland | 7488 | Mixed | 2–6 | SG | QI | CABS | 7 | 98.08% | P | CARS | CCMD-2-R | 12.3 (4.05) | – |
2003 | Chang [26] | Taiwan | 660 | Mixed | 15–93 | C | C | ASDASQ | 5 | 100% | P | N/A | DSM-IV | – | 60.0 (30.06) |
2004 | Guo [53] | Mainland | 5000 | Urban | 0–6 | WP | QI | CABS | 7 | 99.1% | P | CARS | CCMD-2-R | 10 (4.47) | – |
2004 | Guo [54] | Mainland | 3776 | Rural | 2–6 | SG | QI | CABS | 7 | 100% | P | CARS | DSM-IV | 8 (4.59) | – |
2005 | Zhang [55] | Mainland | 7416 | Urban | 2–6 | SG | QI | CABS | 7 | 99% | P | CARS | DSM-IV | 11.0 (3.85) | – |
2005 | Zhang [29] | Mainland | 1305 | Urban | 3–7 | K | QI | CABS | 14 | 100% | P | N/A | N/A | 19.9 (2.47) | – |
2005 | Liu [56] | Mainland | 21,866 | Mixed | 2–6 | SG | QI | CABS | 7 | 100% | P | CARS | DSM-IV | 13.4 (2.47) | 15.3 (2.64) |
2007 | Yang [31] | Mainland | 10,412 | Urban | 3–12 | PS | QI | ABC | 31 | 100% | P | N/A | DSM-IV | 5.6 (2.32) | – |
2007 | Wong [22] | Hong Kong | 4,247,206 | Mixed | 0–14 | HS | R | N/A | N/A | N/A | R | CARS, ADI-R | DSM-IV | – | 16.1 (0.19) |
2008 | Zhang [21] | Mainland | 8681 | Urban | 2–3 | SG | QI | CHAT | N/A | 100% | P | CARS | DSM-IV | 16.1 (4.3) | – |
2008 | Zhang [21] | Mainland | 12,430 | Urban | 4–6 | SG | QI | CABS | 14 | 100% | P | CARS | DSM-IV | 8.85 (2.7) | – |
2009 | Zhang [57] | Mainland | 5000 | Urban | 0–6 | SG | QI | CABS | 7 | 99.98% | P | CARS | CCMD-2-R | 10.0 (4.47) | – |
2009 | Wang [28] | Mainland | 4156 | Urban | 2–6 | K | QI | CABS | 14 | 100% | P | N/A | N/A | 19.5 (6.84) | – |
2010 | Li [58] | Mainland | 8006 | Mixed | 1.5–3 | SG | QI | CHAT | N/A | 92.99% | P | CARS | DSM-IV | 26.2 (5.71) | – |
2010 | Wu [59] | Mainland | 8532 | Urban | 0–3 | SG | QI | CHAT | N/A | 100% | P | CARS | DSM-IV | 8.2 (3.10) | – |
2010 | Yu [33] | Mainland | 7059 | Mixed | 2–6 | SG | Q | CABS | 7 | 89.7% | P | N/A | DSM-IV | 21.2 (5.47) | 22.7 (5.66) |
2010 | Chen [32] | Mainland | 7034 | Mixed | 2–6 | SG | Q | CABS | 7 | 98.78% | P | CARS | DSM-IV | 14.2 (4.49) | 24.2 (5.86) |
2011 | Wang [27] | Mainland | 7500 | Urban | 2–6 | K | QI | CABS | 14 | 87.8% | P | N/A | DSM-IV | 29.5 (6.26) | 75.4 (9.99) |
2011 | Liang [60] | Mainland | 2485 | Urban | 3–6 | K | QI | CABS | 14 | 100% | P | N/A | DSM-IV, ICD-10 | 14.1 (7.53) | – |
2011 | Li [24] | Mainland | 616,940 | Mixed | 0–17 | SG | QI | ABC | N/A | N/A | P | N/A | ICD-10 | 2.38 (0.20) | – |
2011 | Chien [23] | Taiwan | 372,642 | Mixed | 0–17 | HS | R | N/A | N/A | N/A | R | N/A | ICD-9 | – | 28.7 (0.88) |