Table 8-5. – Number of DALYs and age-standardized DALY rates (per 100 000) from cardiovascular disease attributable to diabetes for both sexes, in Brazil and its Federative Units, 1990 and 2019.
Location | 1990 | 2019 | Percent change (95% UI) | ||
---|---|---|---|---|---|
Number (95% UI) | Rate (95% UI) | Number (95% UI) | Rate (95% UI) | ||
Acre | 1335.2 (912.8;1888.1) | 941.8 (633.3;1371) | 3934.6 (2782.2;5669) | 683.4 (475.1;986) | -27.4 (-38.8;-10) |
Alagoas | 17722.1 (12411.8;24790.4) | 1387.3 (965.4;1978.1) | 35556 (25585.2;48957.8) | 1134.8 (819.4;1566.4) | -18.2 (-34.2;3.8) |
Amapá | 630.7 (433.5;914.9) | 723.1 (475.3;1095) | 3022.1 (2113.7;4226.6) | 623.3 (427.4;894.6) | -13.8 (-31.8;11.6) |
Amazonas | 6428.5 (4391;9409.2) | 965.9 (641.4;1472.8) | 16437.5 (11420;23668.2) | 608.2 (420.8;881.9) | -37 (-50.4;-17.8) |
Bahia | 60323 (41070.5;88143.3) | 926.4 (622.4;1396.6) | 120282.6 (83918;176491.9) | 757.4 (525.9;1119.6) | -18.2 (-39.5;10.1) |
Ceará | 26051.4 (16968.5;39656.1) | 662.4 (424.8;1021.6) | 71929.9 (49135.3;103619.2) | 733.5 (497.6;1060.9) | 10.7 (-18.6;51.3) |
Distrito Federal | 8468 (5993.5;11589.3) | 1726.1 (1219.3;2443.4) | 14639.6 (10394.9;20195.3) | 632 (440.7;895.3) | -63.4 (-71.5;-52.8) |
Espírito Santo | 15740.9 (11037.6;22572.5) | 1165.3 (797.7;1722) | 29886.8 (21156.3;42438) | 697.7 (488.3;1000.8) | -40.1 (-53.1;-22.7) |
Goiás | 22199.6 (15278.2;32417.9) | 1165 (776.4;1711.4) | 43263.8 (29225.9;64727.4) | 632.8 (428.1;953.8) | -45.7 (-59.9;-24.9) |
Maranhão | 30853.4 (20729.6;44978.9) | 1241.5 (845.8;1830.5) | 68520.9 (47179.2;99823.3) | 1062.6 (731.1;1556.5) | -14.4 (-35.9;13.9) |
Mato Grosso | 7137.7 (4910.7;10348.6) | 1035.9 (688.5;1536.7) | 19808.7 (13578.4;28204) | 622.3 (424.8;897) | -39.9 (-53.1;-20.8) |
Mato Grosso do Sul | 10808.6 (7735.6;15042.3) | 1319.5 (913.6;1871.1) | 20964.7 (14543.3;29539.1) | 726 (504.9;1024.7) | -45 (-56.3;-29.1) |
Minas Gerais | 90445.6 (65437.6;127258.5) | 961.2 (684.3;1390.3) | 119023.5 (80740.1;174655.1) | 450.2 (303.6;661.3) | -53.2 (-63.3;-39.1) |
Pará | 20697.3 (14113;30025.6) | 1124.9 (747.8;1683) | 49334.3 (34295.7;68456.6) | 739.9 (504;1037.5) | -34.2 (-48.3;-14.2) |
Paraíba | 22665.6 (15429.1;32837.2) | 993.8 (674.6;1439.3) | 39309.5 (27360.3;56659.5) | 837 (582.8;1205.1) | -15.8 (-34.2;10) |
Paraná | 58887.3 (40717.4;84598.3) | 1354.2 (894.9;2009.2) | 91772.5 (62792.3;129456.7) | 699.4 (477.5;991.9) | -48.4 (-58.9;-32.9) |
Pernambuco | 59380 (41231.5;83117.2) | 1366 (942.4;1923.6) | 100595.8 (70745.7;143053.9) | 1017.4 (711.7;1452.2) | -25.5 (-39.4;-6.5) |
Piaui | 12857.4 (8842.4;19094.9) | 998.5 (673.1;1525.2) | 27097.6 (18663.2;39307.5) | 724.6 (499.2;1055.2) | -27.4 (-43.3;-3.5) |
Rio de Janeiro | 176130.1 (123280.1;244011.1) | 1888.9 (1331.8;2618.9) | 178623.1 (126398.8;254598.7) | 790 (561;1127) | -58.2 (-66.3;-47.6) |
Rio Grande do North | 14427.4 (9841.6;21299.8) | 924.2 (630.3;1361.8) | 26480.8 (17460.1;37536.8) | 693.6 (455.8;984.5) | -25 (-41.7;-2.5) |
Rio Grande do Sul | 65930.3 (46174.7;94957.8) | 1075 (740.8;1584.9) | 87421.8 (58608.1;129018) | 558.7 (375.7;819) | -48 (-59.9;-32.9) |
Rondônia | 4693.9 (3130.2;6604.9) | 1850.9 (1256.7;2680.8) | 11161.5 (7688.3;16108.6) | 761.7 (520.9;1110) | -58.8 (-67.1;-48.3) |
Roraima | 701.7 (486.9;981.2) | 1510.3 (1042.4;2179.8) | 2550 (1822.3;3524.3) | 737.4 (521.9;1032.2) | -51.2 (-58.6;-41.4) |
Santa Catarina | 29444.9 (20595.6;41977.2) | 1315.9 (886.4;1907.9) | 45537.1 (31491;64303.7) | 577.1 (396.9;820.5) | -56.1 (-65.4;-44.1) |
São Paulo | 295196.3 (209790.2;409567) | 1609.4 (1116.3;2263.4) | 315407.1 (218126;449199.4) | 586.5 (403.7;842.8) | -63.6 (-71.1;-55.1) |
Sergipe | 9507.4 (6819.9;13407.5) | 1308.1 (916.3;1874.8) | 17955.5 (12531.5;25018.5) | 821.4 (570.1;1153.4) | -37.2 (-49.4;-21) |
Tocantins | 3644.4 (2521.7;5217.6) | 1085.4 (724.5;1612.6) | 10599.2 (7112.5;14982.1) | 766.2 (510;1096.3) | -29.4 (-46.1;-5.5) |
Brazil | 1072308.9 (784276.4;1484959.3) | 1279.7 (922.2;1800.5) | 1571116.4 (1140912.3;2203187.8) | 673.5 (485.1;947.7) | -47.4 (-52.2;-41.9) |
Source: Data derived from Global Burden of Disease Study 2019, Institute for Health Metrics and Evaluation, University of Washington. 46