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

Table 10-7. – Number of deaths, age-standardized mortality rates 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 its 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 54.3 (26.3;88.1) 32.9 (15.1;55.2) 240.7 (162;324.9) 39.4 (25.6;54.4) 19.7 (-9.2;92.6)
Alagoas 602.6 (298.9;970) 44.4 (21.4;72.2) 1771.2 (1198.6;2438.8) 54.5 (36.5;75.4) 22.7 (-7.3;89.6)
Amapá 35.8 (20.9;53.5) 35.1 (19.3;54.9) 197.1 (135.5;262.4) 36.8 (24.6;50.4) 4.7 (-14.7;42.6)
Amazonas 352.5 (205.6;520.2) 45.9 (25.7;70.8) 998.7 (674.7;1337.4) 34.4 (22.8;46.8) -25 (-38.9;-0.1)
Bahia 2885.5 (1491.2;4533.3) 42.2 (21.1;67.7) 6924.3 (4434.5;9803.3) 42.3 (26.9;59.8) 0.1 (-24.1;51.2)
Brazil 52646.7 (30085.3;78950.7) 58.5 (32.7;89.7) 98506.9 (66815.9;133940.7) 41.8 (28.1;56.8) -28.5 (-38.8;-8.6)
Ceará 1165.6 (535.6;1957) 28.6 (13;48.7) 4027.1 (2576.7;5720.1) 40.3 (25.6;57.4) 40.9 (2.3;132.4)
Distrito Federal 474.2 (311.9;658.5) 82.1 (49.6;120.5) 976.1 (663.5;1284.2) 43.3 (28;58.5) -47.2 (-56.5;-31.5)
Espírito Santo 806.5 (446.2;1222.5) 54.8 (29;85.3) 2070.4 (1400.5;2823.1) 47.8 (32.1;65.4) -12.9 (-31;26.8)
Goiás 1188 (602.6;1919.7) 54.8 (26.6;91.9) 2871.2 (1930.6;3989.4) 41 (27.3;57.6) -25.2 (-45.4;15.5)
Maranhão 835.9 (316.7;1531.8) 31.4 (11.6;58.7) 3369.1 (2093.2;4945.6) 50.7 (31;75) 61.6 (9.6;208.8)
Mato Grosso 368.8 (196.9;581.3) 44.2 (22.1;72.3) 1348.7 (914.3;1828.4) 40.8 (26.9;56.1) -7.9 (-30.1;42.4)
Mato Grosso do Sul 564 (324.8;844.1) 60.9 (33.8;94.8) 1326.7 (903.8;1798.1) 45.2 (30.2;61.7) -25.7 (-40.2;0.7)
Minas Gerais 5533 (2941.6;8429.9) 55.5 (28.4;87.4) 8966.4 (6002.5;12276.5) 33.7 (22.5;46.3) -39.2 (-51.4;-12.9)
Pará 947 (500.7;1486.5) 45.6 (23.1;73.8) 2780.4 (1825.6;3803.1) 39.2 (25.4;54.2) -14 (-33.6;27.9)
Paraíba 798.3 (387.4;1308.8) 35.2 (17.2;58.2) 2099.6 (1385.9;2931.4) 43.5 (28.8;60.4) 23.5 (-7.9;96)
Paraná 3348.7 (1894.5;4987.2) 69.1 (37.4;105.8) 5507.9 (3564.2;7725.2) 42 (27;59) -39.2 (-49.7;-18.6)
Pernambuco 2291.3 (1176;3613.6) 50.9 (25.4;81.3) 5351.1 (3592.7;7304.5) 53.1 (35.3;73.1) 4.4 (-16.8;51)
Piauí 475.8 (196.1;816.3) 34.5 (13.7;61) 1548.3 (1017.4;2156.1) 40.5 (26.6;56.2) 17.4 (-14.5;118.3)
Rio de Janeiro 8407 (5110.5;12228.9) 86 (51.1;126.6) 10753.6 (7228;14568.8) 48 (32.2;65.1) -44.1 (-53.2;-27.8)
Rio Grande do Norte 526.5 (245.4;861.5) 33.3 (15.5;55) 1521.9 (977.9;2172.1) 38.4 (24.7;54.6) 15.4 (-15.8;85.6)
Rio Grande do Sul 4455.3 (2668.3;6541.9) 68.1 (39.9;100.4) 6132.7 (3977.2;8434.1) 39.5 (25.7;54.5) -41.9 (-50.4;-27.6)
Rondônia 221.7 (124.2;331.6) 63.7 (32.7;102.5) 696.4 (475.8;952.7) 45.3 (30.3;62.8) -28.9 (-45.6;5.2)
Roraima 31.1 (17.3;47.7) 52.7 (26.9;83.6) 150.4 (104.8;199.1) 43.5 (29.1;59.3) -17.4 (-34.7;24.4)
Santa Catarina 1628.2 (981.8;2402.5) 65.3 (38.5;100) 3055.7 (2029.3;4095.5) 38.6 (25.3;52.5) -40.9 (-50.6;-23.7)
São Paulo 14175.3 (8410.5;20750.5) 71.6 (40.9;107.2) 22149.9 (15099.6;29984.3) 41.3 (27.9;56.3) -42.3 (-51.9;-24.9)
Sergipe 320.9 (173.8;492.9) 41.9 (21.9;66.2) 956.8 (634.6;1320.9) 42.1 (27.9;58.6) 0.6 (-23.4;44.7)
Tocantins 152.9 (67.6;258.2) 38.9 (16.1;68.7) 714.7 (463.1;986.3) 50.3 (32.2;70.2) 29.4 (-7.6;134.9)

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