Table 10-10. – Number of DALYs and age-standardized rates of DALYs due to all causes attributable 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 | 80.1 (40.3;128.7) | 50.9 (23.5;84.4) | 443.6 (305.1;590.6) | 75.3 (50.7;102.5) | 47.9 (11.7;140.2) |
| Alagoas | 926 (477;1462.1) | 69.8 (35.1;111.7) | 3244.2 (2234.3;4349.1) | 101.1 (69.1;137.2) | 44.9 (9;123.8) |
| Amapá | 53.2 (31.5;78.4) | 54.7 (30.3;83.8) | 365.3 (259.2;478.3) | 71.5 (49.3;96.1) | 30.6 (6.2;77.4) |
| Amazonas | 525.2 (312.4;765.4) | 70.6 (40.5;106.3) | 2009.3 (1400.6;2636.9) | 71.2 (49;94.7) | 0.9 (-17.4;35.7) |
| Bahia | 4395.5 (2318.1;6785.9) | 65.3 (33.6;102.3) | 13225.3 (8827.3;18489.3) | 81.1 (54.1;113.1) | 24.1 (-5.4;86.8) |
| Brazil | 74266.2 (43491.7;110056.9) | 84.4 (48.1;127.9) | 177939.7 (124637.7;237783) | 76.2 (52.9;102.1) | -9.7 (-23.1;16.2) |
| Ceará | 1762.6 (831.5;2903.1) | 43.8 (20.4;72.5) | 7194.6 (4786.1;10036.6) | 72.5 (48.2;101.2) | 65.4 (19.9;172.1) |
| Distrito Federal | 657.1 (439;908.9) | 121.9 (75.5;176.5) | 1751.1 (1220.7;2263) | 80.6 (54.6;107.6) | -33.8 (-45.2;-14.6) |
| Espírito Santo | 1089 (608.6;1642.8) | 75.8 (40.9;117.6) | 3588.6 (2472.9;4828.9) | 83.7 (57.3;112.7) | 10.4 (-13;61.5) |
| Goiás | 1610.1 (830.7;2574.7) | 76.8 (38.1;126.3) | 5058.6 (3482;6954.6) | 73.9 (50.3;101.7) | -3.8 (-29.4;49.2) |
| Maranhão | 1245.2 (489.7;2212.8) | 48.2 (18.5;87.4) | 5846.2 (3709.8;8423.6) | 89 (56;128.6) | 84.8 (25.5;250.7) |
| Mato Grosso | 511.1 (276.4;794.5) | 63.8 (32.6;101.1) | 2471.7 (1734.2;3272.6) | 76.8 (52.7;102.4) | 20.5 (-9.1;85.8) |
| Mato Grosso do Sul | 746.8 (436.4;1106.5) | 83.3 (46.1;128.2) | 2223.5 (1521.9;2976.5) | 77 (52;103.9) | -7.6 (-26;24.5) |
| Minas Gerais | 7763 (4227.8;11827.3) | 79.5 (41.8;123.4) | 16660.8 (11377.3;22486.1) | 62.7 (42.8;84.8) | -21.1 (-36.5;13.9) |
| Pará | 1320.3 (711.4;2041.6) | 65.2 (33.7;103.8) | 5128.9 (3498.2;6897.9) | 74 (49.8;100.6) | 13.5 (-12.8;70.3) |
| Paraíba | 1273.5 (638.4;2048.7) | 56.6 (28.1;91.7) | 3974.9 (2740.4;5388.3) | 82 (56.8;111.2) | 45 (9.4;129.3) |
| Paraná | 4468.1 (2563.7;6646.6) | 94.2 (52.1;145) | 10015.1 (6653;13717.2) | 77.1 (50.8;106.2) | -18.2 (-31.9;9.1) |
| Pernambuco | 3345.4 (1772.7;5178.4) | 75.4 (38.8;118.8) | 9471.3 (6571.7;12641.6) | 95.3 (65.8;128.2) | 26.3 (0.7;83.6) |
| Piauí | 669.5 (287.7;1133.6) | 49.6 (20.4;86.2) | 2676.8 (1799.4;3642.1) | 70.1 (47.1;94.8) | 41.3 (3.1;159.1) |
| Rio de Janeiro | 11589.1 (7176.8;16646.3) | 120.7 (72.9;175.6) | 19470.2 (13465.9;26105.1) | 87.3 (60.2;117.2) | -27.7 (-39.7;-6.8) |
| Rio Grande do Norte | 835.1 (404.9;1341) | 53.2 (25.5;85.9) | 2990.3 (1997;4137.2) | 75.7 (50.4;104.7) | 42.2 (4.4;128.1) |
| Rio Grande do Sul | 6158.4 (3741.6;8880.7) | 96.3 (56.6;142.5) | 11470.3 (7637.2;15714.9) | 73.8 (49.1;101.1) | -23.3 (-34.4;-4.2) |
| Rondônia | 306.4 (175.6;451.6) | 92.2 (48.4;144.4) | 1256.6 (872.4;1680.6) | 84.2 (57.6;113.1) | -8.7 (-29.9;33.9) |
| Roraima | 47.4 (27.1;70.9) | 84.5 (44.7;131.4) | 305.1 (221;394.8) | 91 (64.2;119.8) | 7.8 (-14.7;58.5) |
| Santa Catarina | 2262.4 (1388.2;3300.1) | 93.3 (55.9;139.1) | 5617.9 (3838.4;7494) | 72.1 (49;96.8) | -22.7 (-35.5;-1.7) |
| São Paulo | 19864.6 (12062.3;28733.9) | 102.9 (60.7;151.2) | 38343.9 (26476.1;51560.4) | 72.4 (49.6;97.8) | -29.6 (-41;-9.3) |
| Sergipe | 547.1 (307.2;815.2) | 73.4 (39.6;112.1) | 1885.1 (1288.8;2533.3) | 84.4 (57.5;114.3) | 14.9 (-11.8;65.8) |
| Tocantins | 214 (97.3;356.9) | 56.9 (24.3;99.6) | 1250.5 (836.2;1702.4) | 89.4 (59.9;122.4) | 57.1 (11.6;185) |
Source: Data derived from Global Burden of Disease Study 2019, Institute for Health Metrics and Evaluation, University of Washington. 46