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. 2022 Jan 1;118(1):115–373. [Article in Portuguese] doi: 10.36660/abc.20211012

Table 10-12. – Number of DALYs and age-standardized rates of DALYs due to cardiovascular diseases attributed to high BMI (per 100 000 inhabitants), in 1990 and 2019, and percent change of rates in the period, in Brazil and Federative Units.

Cause of death and Location 1990 2019 Percent change (95% UI)
Number (95% UI) Rate (95% UI) Number (95% UI) Rate (95% UI)
High BMI
Acre 1780.2 (889.4;2831.6) 883.9 (440;1418.2) 7206.1 (5100.2;9394.6) 1016.6 (702.7;1344.8) 15 (-11.4;79.5)
Alagoas 18827.9 (9699.9;29802.6) 1258.7 (648.4;1992) 50787.6 (35418;68595.7) 1487.6 (1027.8;2014.5) 18.2 (-10.2;77.2)
Amapá 1192.5 (719.1;1727.5) 957.2 (564.6;1414.6) 6210.3 (4496.9;8037.8) 994.6 (700.1;1313) 3.9 (-14.1;36.2)
Amazonas 11139.6 (6646;16127.6) 1182.8 (693.9;1745.6) 29209.5 (20703.6;38137.7) 898.5 (624.3;1187.5) -24 (-37.1;-0.6)
Bahia 89200.9 (47500.8;135753) 1206 (642.6;1848.6) 192247.1 (129702.6;260980.6) 1157.8 (781.1;1574.5) -4 (-27;40.7)
Brazil 1639034.2 (961484.2;2409951.1) 1611.6 (936.5;2376) 2696796.3 (1898493.9;3537093.7) 1108.9 (778.3;1460.7) -31.2 (-40.5;-12.4)
Ceará 34076.1 (16343.8;55265) 791.3 (381.9;1288.2) 107555.9 (72801.4;147276.2) 1052.9 (706.8;1446.7) 33.1 (-3.5;117.9)
Distrito Federal 16685.1 (11186.2;22749) 2031.2 (1322.9;2849.8) 27936 (19529.6;35968.2) 971 (668.6;1257.6) -52.2 (-59.9;-39.2)
Espírito Santo 25631.5 (14621.7;37654.9) 1506.1 (843.5;2239.7) 56314.7 (39334.5;74972.3) 1235.5 (864.8;1650.3) -18 (-34.3;14.2)
Goiás 39404.4 (20135.7;61905.7) 1525.8 (774.6;2442) 81966.4 (56554.9;110604.8) 1089.1 (745.8;1476.4) -28.6 (-48.1;8.5)
Maranhão 27659.1 (10640.5;49579.6) 950.3 (364.3;1710.5) 95781.1 (62438.9;135543.8) 1378.7 (888.2;1959.2) 45.1 (-3;180.4)
Mato Grosso 12499.7 (6759.1;19413.5) 1201.3 (643.5;1888.1) 39147.3 (27640.9;51142.7) 1069 (743.3;1406.8) -11 (-31.8;33.7)
Mato Grosso do Sul 18472.6 (10922.8;27010.7) 1676.8 (976.7;2488.9) 36983.9 (26120.2;48494.8) 1188 (836.9;1566.2) -29.2 (-42.1;-5.4)
Minas Gerais 178307.9 (96726.7;266926.7) 1573.5 (846.8;2377.1) 248509.9 (172433.1;331499.9) 933.9 (649.9;1243.3) -40.6 (-52.4;-16.3)
Pará 29622.4 (15900.2;45428.6) 1197 (637.6;1854.3) 81046 (55976.2;107682.3) 1049.9 (718;1411.2) -12.3 (-31.7;28.5)
Paraíba 22695.5 (11404.9;36547.5) 978.7 (497.2;1568) 54880.5 (37966.1;73798.1) 1165.1 (803.2;1567.4) 19 (-10.5;81.8)
Paraná 102453.2 (59672.3;149681.7) 1806.7 (1032.7;2664.8) 146167.1 (99521.6;198031.2) 1063.6 (719.1;1446.9) -41.1 (-51;-22.6)
Pernambuco 68159.2 (35857.2;104510) 1393.8 (728;2142.4) 149066.6 (103475.9;196806.9) 1418.1 (980.7;1879.4) 1.7 (-18.6;45.6)
Piauí 14484 (6173;24176.3) 930.8 (392.4;1565.3) 40804 (28043.3;54462) 1076.5 (738.6;1442.1) 15.7 (-15.3;109.8)
Rio de Janeiro 265346.7 (163837;376942.1) 2415.5 (1492.4;3462.6) 294309.2 (203915.1;389667.6) 1306.1 (905;1730.1) -45.9 (-54.6;-32)
Rio Grande do Norte 15080.4 (7424.1;23973.7) 915.4 (450.8;1457.1) 40596.4 (27349.8;55821.9) 1024.7 (691.1;1412.5) 11.9 (-16.1;73.8)
Rio Grande do Sul 134076.3 (82681;189686) 1812.7 (1106.9;2606) 154005.5 (103910.1;205502.3) 1003.2 (683.1;1332.5) -44.7 (-52.5;-32.3)
Rondônia 7633.3 (4329.7;11286.4) 1575 (856.2;2405.9) 20049.9 (14029.6;26530.5) 1168.3 (810.5;1568) -25.8 (-42.9;6.3)
Roraima 1085.3 (607.1;1643.6) 1310.2 (715.6;2019) 4525.5 (3246.3;5829.3) 1035.1 (726.4;1359.5) -21 (-36.8;13.5)
Santa Catarina 48419.9 (29534.7;69616.8) 1659.7 (1004;2418.4) 80459.3 (55267.9;107093.5) 946.7 (647.5;1260.8) -43 (-52.2;-27.3)
São Paulo 440645.2 (266543;633017.1) 1887.2 (1129.4;2747.7) 604648.5 (420556.1;807155.9) 1086.9 (754.4;1451.7) -42.4 (-51.5;-25.9)
Sergipe 9519.2 (5300.6;14142.7) 1093.9 (604;1638.1) 26778.2 (18413.5;36053.3) 1120.1 (765.6;1518) 2.4 (-21.7;44.2)
Tocantins 4936 (2229;8219) 996.3 (440.5;1672.6) 19603.7 (13269.9;26463.2) 1283.3 (859.7;1742.7) 28.8 (-7.3;125.2)

Source: Data derived from Global Burden of Disease Study 2019, Institute for Health Metrics and Evaluation, University of Washington. 46