Table 1. Burden indicators of occupational cancer. Brazil and federative units, 1990 and 2019.
Region | FU | DALY | Deaths | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
n | Rate | n | Rate | ||||||||||
Crude | Adjusted | Crude | Adjusted | ||||||||||
1990 | 2019 | 1990 | 2019 | 1990 | 2019 | 1990 | 2019 | 1990 | 2019 | 1990 | 2019 | ||
North | Acre | 84 | 439 | 20.35 | 47.41 | 50.88 | 67.80 | 3 | 18 | 0.80 | 1.99 | 2.66 | 3.30 |
Amapá | 45 | 296 | 16.52 | 35.03 | 40.69 | 50.95 | 2 | 11 | 0.61 | 1.33 | 1.84 | 2.27 | |
Amazonas | 535 | 1,876 | 25.81 | 44.46 | 63.24 | 61.65 | 20 | 78 | 0.96 | 1.85 | 2.88 | 2.86 | |
Pará | 1,359 | 3,573 | 27.89 | 38.64 | 55.72 | 48.14 | 47 | 144 | 0.97 | 1.56 | 2.39 | 2.13 | |
Rondônia | 282 | 1,026 | 25.52 | 57.75 | 75.56 | 62.50 | 9 | 42 | 0.84 | 2.39 | 3.96 | 2.91 | |
Roraima | 64 | 232 | 30.53 | 38.71 | 92.67 | 57.15 | 2 | 9 | 1.01 | 1.52 | 4.36 | 2.85 | |
Tocantins | 132 | 643 | 14.39 | 39.15 | 31.01 | 43.23 | 5 | 27 | 0.53 | 1.65 | 1.59 | 1.96 | |
Northeast | Alagoas | 528 | 1,585 | 20.65 | 43.30 | 38.09 | 47.72 | 21 | 64 | 0.83 | 1.75 | 1.73 | 2.04 |
Bahia | 3,076 | 9,289 | 25.38 | 58.23 | 41.97 | 56.50 | 111 | 380 | 0.91 | 2.38 | 1.68 | 2.36 | |
Ceará | 2,093 | 6,966 | 32.27 | 69.42 | 48.60 | 68.83 | 79 | 310 | 1.22 | 3.09 | 1.95 | 3.14 | |
Maranhão | 1,258 | 3,010 | 24.89 | 36.01 | 42.68 | 44.52 | 40 | 130 | 0.78 | 1.55 | 1.52 | 2.01 | |
Paraíba | 837 | 2,208 | 25.61 | 50.37 | 36.91 | 46.91 | 37 | 99 | 1.12 | 2.26 | 1.67 | 2.06 | |
Pernambuco | 1,820 | 5,477 | 24.92 | 54.08 | 39.19 | 53.19 | 73 | 234 | 0.99 | 2.31 | 1.75 | 2.39 | |
Piauí | 519 | 1,304 | 19.60 | 35.31 | 34.02 | 34.60 | 19 | 55 | 0.72 | 1.50 | 1.49 | 1.47 | |
Rio Grande do Norte | 526 | 1,860 | 21.36 | 49.74 | 33.01 | 47.24 | 22 | 81 | 0.90 | 2.17 | 1.45 | 2.07 | |
Sergipe | 338 | 1,092 | 22.64 | 45.33 | 42.68 | 46.30 | 14 | 44 | 0.93 | 1.82 | 2.05 | 1.97 | |
Southeast | Espírito Santo | 755 | 2,329 | 28.68 | 58.59 | 48.09 | 51.23 | 28 | 97 | 1.06 | 2.45 | 2.13 | 2.26 |
Minas Gerais | 6,501 | 15,042 | 40.70 | 69.35 | 62.53 | 56.08 | 245 | 657 | 1.53 | 3.03 | 2.76 | 2.48 | |
Rio de Janeiro | 9,152 | 13,907 | 70.03 | 78.69 | 87.89 | 61.07 | 332 | 611 | 2.54 | 3.46 | 3.60 | 2.74 | |
São Paulo | 19,465 | 35,556 | 60.82 | 78.11 | 89.83 | 64.02 | 720 | 1,579 | 2.25 | 3.47 | 3.92 | 2.98 | |
South | Paraná | 3,422 | 8,636 | 39.93 | 75.82 | 65.16 | 62.97 | 127 | 378 | 1.48 | 3.32 | 2.93 | 2.92 |
Rio Grande do Sul | 9,615 | 16,354 | 103.90 | 144.71 | 137.17 | 104.05 | 363 | 744 | 3.92 | 6.58 | 5.80 | 4.77 | |
Santa Catarina | 2,729 | 7,171 | 59.96 | 100.22 | 100.31 | 84.01 | 103 | 307 | 2.26 | 4.29 | 4.48 | 3.87 | |
Midwest | Federal District | 446 | 1,242 | 27.63 | 41.00 | 69.37 | 48.58 | 15 | 56 | 0.93 | 1.84 | 3.56 | 2.87 |
Goiás | 1,484 | 3,973 | 35.84 | 57.78 | 62.80 | 54.14 | 52 | 164 | 1.24 | 2.38 | 2.63 | 2.42 | |
Mato Grosso | 530 | 1,885 | 26.69 | 52.37 | 58.66 | 52.71 | 19 | 75 | 0.94 | 2.08 | 2.59 | 2.33 | |
Mato Grosso do Sul | 586 | 1,747 | 32.67 | 61.48 | 59.49 | 56.80 | 21 | 73 | 1.18 | 2.58 | 2.64 | 2.55 | |
Brazil | 68,180 | 148,718 | 45.81 | 68.64 | 71.39 | 61.69 | 2,526 | 6,469 | 1.70 | 2.99 | 3.02 | 2.79 |
FU: federative units; DALY: disability-adjusted life years.
Source: GBD Study, 2022.