Table 2.
Overall impact of diet on CVDs DALYs and DALYs rates by provinces of China.
| DALYs (in thousands) |
DALYs rate (per 100,000 population) |
|||
|---|---|---|---|---|
| Stroke | IHD | Stroke | IHD | |
| Health area one | ||||
| Shanghai | 99 (85, 113) | 101 (86, 118) | 353.20 (302.87, 406.20) | 359.72 (307.16, 420.95) |
| Tianjin | 141 (121, 163) | 151 (130, 178) | 926.21 (795.07, 1068.1) | 991.01 (849.36, 1168.2) |
| Zhejiang | 372 (322, 430) | 232 (196, 274) | 610.16 (526.53, 702.62) | 378.58 (321.26, 448.20) |
| Beijing | 119 (101, 138) | 165 (138, 195) | 492.53 (419.38, 570.90) | 687.30 (574.75, 807.82) |
| Health area two | ||||
| Jiangsu | 720 (628, 818) | 456 (390, 523) | 882.04 (767.83, 1002.6) | 556.11 (477.57, 641.89) |
| Hainan | 76 (64, 90) | 65 (53, 79) | 792.48 (667.79, 933.10) | 673.87 (555.28, 823.91) |
| Guangdong | 732 (634, 844) | 841 (718, 979) | 625.40 (542.27, 722.33) | 717.75 (615.23, 837.63) |
| Fujian | 267 (231, 307) | 208 (178, 246) | 677.46 (585.26, 779.22) | 528.84 (450.29, 622.68) |
| Hubei | 830 (715, 952) | 582 (498, 675) | 1499.6 (1296.2, 1719.0) | 1051.1 (901.17, 1219.9) |
| Hunan | 950 (824, 1096) | 916 (789, 1079) | 1417.1 (1224.6, 1633.7) | 1368.2 (1176.4, 1603.8) |
| Health area three | ||||
| Shandong | 992 (855, 1144) | 1148 (983, 1338) | 998.40 (859.96, 1152.4) | 1155.5 (987.53, 1348.3) |
| Hebei | 1188 (1035, 1358) | 945 (804, 1095) | 1554.3 (1356.6, 1778.5) | 1235.9 (1051.4, 1430.1) |
| Ningxia | 61 (52, 72) | 73 (60, 88) | 867.44 (736.21, 1021.4) | 1042.5 (859.43, 1257.7) |
| Jilin | 432 (361, 500) | 438 (365, 513) | 1549.0 (1293.4, 1793.1) | 1570.7 (1306.7, 1831.7) |
| Liaoning | 699 (602, 812) | 683 (576, 802) | 1564.0 (1343.9, 1815.6) | 1533.3 (1290.1, 1798.6) |
| Shanxi | 347 (292, 407) | 351 (289, 418) | 902.87 (756.69, 1054.5) | 909.71 (748.06, 1087.5) |
| Shaanxi | 430 (362, 510) | 411 (341, 492) | 1089.5 (916.78, 1291.6) | 1040.0 (864.03, 1243.1) |
| Henan | 1379 (1199, 1572) | 1274 (1093, 1487) | 1430.5 (1244.7, 1633.3) | 1321.4 (1135.3, 1546.1) |
| Anhui | 752 (664, 854) | 571 (494, 658) | 1232.0 (1083.0, 1398.3) | 933.71 (807.44, 1075.5) |
| Inner Mongolia | 380 (332, 438) | 433 (370, 503) | 1468.2 (1280.6, 1687.6) | 1673.7 (1427.6, 1943.2) |
| Heilongjiang | 736 (626, 858) | 788 (664, 926) | 1879.3 (1595.8, 2182.6) | 2012.8 (1692.2, 2362.7) |
| Health area four | ||||
| Jiangxi | 464 (406, 535) | 377 (324, 444) | 980.65 (853.25, 1127.1) | 793.83 (681.67, 932.93) |
| Chongqing | 308 (258, 367) | 200 (166, 238) | 1152.6 (965.04, 1373.0) | 746.45 (623.07, 891.87) |
| Yunnan | 636 (551, 746) | 462 (391, 545) | 1295.8 (1117.1, 1520.4) | 939.43 (796.68, 1109.4) |
| Gansu | 359 (309, 417) | 307 (259, 356) | 1351.7 (1164.5, 1568.2) | 1153.1 (974.84, 1339.0) |
| Sichuan | 1080 (914, 1241) | 689 (583, 790) | 1292.7 (1097.2, 1486.7) | 823.56 (701.44, 947.96) |
| Health area five | ||||
| Tibet | 51 (43, 63) | 33 (28, 42) | 1460.7 (1225.4, 1812.2) | 961.28 (796.07, 1202.7) |
| Xinjiang | 251 (216, 292) | 287 (241, 340) | 1030.9 (885.29, 1198.9) | 1178.7 (990.49, 1393.0) |
| Qinghai | 89 (74, 103) | 67 (55, 79) | 1412.4 (1182.9, 1633.3) | 1069.9 (884.18, 1251.8) |
| Guangxi | 604 (523, 710) | 524 (446, 622) | 1250.9 (1079.9, 1468.5) | 1085.3 (921.88, 1287.2) |
| Guizhou | 581 (498, 663) | 281 (235, 330) | 1713.4 (1468.9, 1962.2) | 831.53 (695.51, 976.91) |