Table 1. Summary of study characteristics in the Asia Pacific Cohort Studies Collaboration.
Study | N | Baseline year(s) | Median follow-up | % female | Age (yr) | Height (cm) | No. total cancer deaths | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Males | Females | Males | Females | |||||||||
mean | SD | mean | SD | mean | SD | |||||||
ALSA | 1566 | 92 - 93 | 4.7 | 48 | 78 | 6 | 169 | 7 | 156 | 6 | 44 | 23 |
ANHF | 9271 | 89 - 90 | 8.3 | 51 | 43 | 13 | 175 | 7 | 162 | 6 | 102 | 52 |
Busselton | 7463 | 66 - 81 | 26.5 | 52 | 45 | 17 | 173 | 7 | 161 | 6 | 395 | 294 |
Fletcher Challenge | 10344 | 92 - 94 | 5.8 | 28 | 44 | 15 | 176 | 7 | 163 | 7 | 91 | 43 |
Melbourne | 41267 | 90 - 94 | 8.5 | 59 | 55 | 9 | 172 | 7 | 160 | 7 | 595 | 517 |
Newcastle | 5927 | 83 - 94 | 8.9 | 50 | 52 | 10 | 173 | 7 | 161 | 6 | 135 | 80 |
Perth | 10226 | 78 - 94 | 14.4 | 48 | 45 | 13 | 175 | 7 | 162 | 6 | 189 | 122 |
WA AAA Screenees | 12203 | 96 - 99 | 3.2 | 0 | 72 | 4 | 171 | 7 | - | - | 400 | - |
Australasia | 98267 | 66-99 | 8.3 | 45 | 53 | 14 | 173 | 7 | 161 | 7 | 1951 | 1131 |
Aito Town | 1711 | 80 - 83 | 15.2 | 57 | 51 | 9 | 163 | 7 | 151 | 6 | 38 | 24 |
Akabane | 1834 | 85 - 86 | 11.0 | 56 | 54 | 8 | 161 | 6 | 149 | 5 | 32 | 25 |
Anzhen | 8377 | 91 | 4.3 | 55 | 54 | 13 | 169 | 6 | 157 | 6 | 36 | 30 |
Beijing Aging | 2085 | 92 | 4.8 | 51 | 70 | 9 | 165 | 7 | 153 | 6 | 21 | 27 |
Capital Iron & Steel Company | 5132 | 74 - 80 | 12.5 | 0 | 45 | 8 | 169 | 6 | - | - | 113 | - |
CISCH | 2166 | 92 - 93 | 3.3 | 51 | 44 | 7 | 170 | 6 | 159 | 6 | 3 | - |
Civil Service Workers | 9316 | 90 - 92 | 6.7 | 33 | 47 | 5 | 166 | 6 | 154 | 5 | 53 | 8 |
CVDFACTS | 5716 | 88 - 96 | 6.0 | 55 | 47 | 15 | 166 | 6 | 155 | 6 | 39 | 26 |
East Beijing | 1087 | 77 - 94 | 17.1 | 52 | 43 | 15 | 171 | 7 | 160 | 6 | 10 | 5 |
EGAT | 3492 | 85 | 11.4 | 23 | 43 | 5 | 165 | 6 | 155 | 5 | 38 | 5 |
Fangshan | 2608 | 91 - 92 | 3.6 | 67 | 47 | 10 | 168 | 7 | 156 | 6 | 4 | 4 |
Guangzhou Occupational | 106180 | 85 - 97 | 7.1 | 11 | 41 | 6 | 169 | 5 | 158 | 5 | 522 | 24 |
Hisayama | 1569 | 61 | 24.6 | 56 | 56 | 11 | 157 | 6 | 146 | 6 | 110 | 89 |
Hong Kong | 2881 | 85 - 91 | 2.5 | 57 | 78 | 7 | 162 | 7 | 148 | 7 | 71 | 54 |
Huashan | 1859 | 90 - 92 | 2.8 | 52 | 53 | 12 | 168 | 7 | 156 | 6 | 2 | 2 |
Kinmen | 1268 | 93-96 | 2.9 | 47 | 63 | 9 | 166 | 7 | 154 | 6 | 25 | 7 |
KMIC | 183391 | 92 | 4.0 | 37 | 44 | 7 | 169 | 5 | 157 | 4 | 1021 | 211 |
Konan | 1194 | 87-95 | 6.4 | 55 | 52 | 16 | 165 | 8 | 152 | 7 | 12 | 13 |
Miyama | 1034 | 88 - 90 | 6.6 | 55 | 60 | 9 | 160 | 6 | 149 | 6 | 26 | 9 |
Ohasama | 2196 | 92 - 93 | 4.1 | 63 | 59 | 11 | 161 | 7 | 149 | 6 | 20 | 10 |
Saitama | 3602 | 86 - 90 | 11.0 | 62 | 54 | 12 | 161 | 7 | 150 | 6 | 94 | 51 |
Seven Cities Cohorts | 10791 | 87 | 2.7 | 55 | 54 | 12 | 167 | 6 | 156 | 6 | 98 | 77 |
Shibata | 2335 | 77 | 20.0 | 58 | 57 | 11 | 159 | 6 | 147 | 7 | 122 | 85 |
Shigaraki Town | 3738 | 91-97 | 4.4 | 59 | 57 | 14 | 164 | 7 | 151 | 7 | 36 | 19 |
Singapore Heart | 2312 | 82-97 | 14.6 | 49 | 41 | 13 | 166 | 6 | 154 | 6 | 25 | 10 |
Singapore NHS92 | 3304 | 92 | 6.2 | 52 | 39 | 12 | 168 | 6 | 155 | 6 | 10 | 12 |
Six Cohorts | 19367 | 82 - 86 | 9.0 | 47 | 45 | 7 | 165 | 6 | 154 | 6 | 240 | 141 |
Tanno/Soubetsu | 1983 | 77 | 16.4 | 53 | 51 | 7 | 162 | 6 | 151 | 5 | 53 | 37 |
Tianjin | 9273 | 84 | 6.1 | 51 | 55 | 12 | 168 | 7 | 156 | 7 | 169 | 128 |
Yunnan | 6580 | 92 | 4.5 | 3 | 56 | 9 | 162 | 6 | 154 | 5 | 238 | 1 |
Asia | 408381 | 61-97 | 4.0 | 33 | 45 | 10 | 168 | 6 | 156 | 6 | 3281 | 1134 |
Overall | 506648 | 61-99 | 5.7 | 35 | 48 | 11 | 169 | 6 | 157 | 6 | 5232 | 2265 |
ALSA = Australian Longitudinal Study of Aging; ANHF = Australian National Heart Foundation; WA AAA Screenees = Western Australian AAA Screenees; CISCH = Capital Iron and Steel Company Hospital; EGAT = Electricity Generating Authority of Thailand; KMIC = Korean Medical Insurance Corporation; NHS92 = National Health Study 1992; CVDFACTS = Cardiovascular Disease Risk Factors Tow-Township Study