| Miranda Filho et al., 201459 Rio de Janeiro |
Ecological Study. 1996 and 2010 |
Agriculture |
Deaths from malignant neoplasm of the brain (ICD-10, C-71) |
Serrana Region
|
|
AAPC: 3.8%; 95%CI:0.8;5.6 |
| RR (75-79 years): 33.63; 95%CI:15.24;74.22 |
|
Metropolitan area
|
| AAPC: -0.2%; 95%CI:-1.2;0.7 |
| RR (75-79 years): 23.78; 95%CI:22.55;25.07 |
| Koifman et al., 201461 Brazil |
Ecological Study. 1996 and 2004 |
Dentist (occupation code 063) |
Deaths from malignant neoplasms (ICD-10, C00-C97) |
MOR (general population)
|
|
Male dentists
|
|
20-49 years old:
|
| C00-C97: 4.29; 95%CI:3.42;5.47 |
| C18-21: 3.24; 95%CI:1.30;6.67 |
| C71: 1.70; 95%CI:0.55;3.96 |
| C82-C85: 3.71;95%CI: 1.36;8.09 |
|
50-79 years old:
|
| C00-C97: 1.67;95%CI:1.54;1.81 |
| C18-21: 2.40; 95%CI:1.81;3.15 |
| C71: 2.08; 95%CI:1.33;3.10 |
| C82-C85: 2.54;95%CI:1.55;3.91 |
|
Female dentists:
|
|
20-49 years old:
|
| C00-C97: 2.26; 95%CI:1.91;2.67 |
| C18-21: 2.47; 95%CI:1.13;4.69 |
| C71: 5.56; 95%CI:3.35;8.67 |
| C82-C85: 3.18; 95%CI:1.03;7.41 |
| C50: 3.67; 95%CI:2.69;4.89 |
|
50-79 years old:
|
| C00-C97: 4.22; 95%CI:3.58;4.97 |
| C18-21: 3.12; 95%CI:1.66;5.34 |
| C71: 2.73; 95%CI:0.88;6.36 |
| C82-C85: 6.17; 95%CI:2.47;12.7 |
| C50: 5.19; 95%CI:3.69;7.09 |
| Algranti et al., 201556 Municipalities of São Paulo and other places in Brazil |
Ecological Study |
Asbestos |
Deaths from mesothelioma (ICD-10, C45) and pleural cancer (ICD-10, C38.4) |
Crude average crude mortality rate ratio
|
|
C45
|
| Leme: 11.0 |
| São Caetano do Sul: 8.4 |
| Osasco: 5.2 |
| Brazil: 1 |
|
C38,4
|
| Leme: 0.0 |
| São Caetano do Sul: 4.2 |
| Osasco: 1.7 |
| Brazil: 1 |
|
C45+C38,4
|
| Leme: 4.4 |
| São Caetano do Sul: 5.9 |
| Osasco: 3.1 |
| Brazil: 1 |
|
C45
|
| Trends in numbers of cases |
| Brazil: R2= 0.63, p = 0.0012 |
| São Paulo R2= 0.69, p = 0.0004 |
| Standardized crude mortality rate |
| São Paulo: R2= 0.35, p=0.0344 |
| Segatto et al., 2015 Algranti et al63 Porto Alegre, state of Rio Grande do Sul, Brazil |
Hospital-based case-control April 2012 to September 2013 |
Pesticides |
Cases of cutaneous melanoma |
Use of pesticides for > 10 years:
|
| OR:1.9; 95%CI:1.2;8.2 |
|
Occupational exposure to pesticides:
|
| OR: 3.2; 95%CI:1.2;6.8 |
|
General use of pesticides
|
| OR: 2.03; 95%CI:1.03;6.89 |
|
Indoor use of pesticides four or more times a week
|
| OR: 1.44; 95%CI:1.11;3.49 |
| Boccolini et al., 201665 Paraná, Santa Catarina, and Rio Grande do Sul |
Case-control based on death certificates January 1996 to December 2005 |
Agricultural workers |
Deaths from non-Hodgkin’s lymphoma (ICD-10, C82-C85) |
20 - 39 years old:
|
| Crude OR:1.31; 95%CI:1.05;1.87 |
| OR adjusted for gender, state of residence, education, and race: 2.06; 95%CI:1.20;3.14 |
|
40 - 69 years old:
|
|
Crude OR: 0.80; 95%CI:0.67;0.95 |
| OR adjusted for gender, state of residence, education, and race: 0.96; 95%CI:0.75;1.23 |
| Fortes et al., 201664 Brazil and Italy |
Hospital-based case-control (2001 and 2003 for the Italian study and 2007 to 2013 for the Brazilian study) |
Exposure to the sun and pesticides |
Cases of cutaneous melanoma |
Pesticides
|
| OR: 2.58; 95%CI:1.18;5.65 |
|
Use of pesticides for 10 years or more
|
| OR: 7.40; 95%CI:1.91;28.7 |
|
Exposure to at least two types of pesticides
|
| OR: 4.04; 95%CI:1.20;13.6 |
|
Herbicides
|
| OR: 3.08; 95%CI:1.06;8.97 |
|
Fungicides
|
| OR: 3.88; 95%CI:1.17;12.9 |
|
Pesticides and occupational sun exposure
|
| OR: 4.68; 95%CI:1.29;17.0 |
| Azevedo e Silva et al., 201621 Brazil |
Ecological Study |
Formaldehyde, paint, rubber industry, benzene, leather powder, silica, wood powder, nickel, asbestos, benzopyrene, diesel, iron/steel, radon, gamma radiation |
Cancer of the esophagus (squamous), nasopharynx, sinonasal, larynx, lung, bladder, breast, ovary, mesothelioma, non-Hodgkin’s lymphoma and leukemia |
Fraction of cancer attributable to occupation:
|
| 1.3% |
|
Men
|
| 2.3% |
|
Women
|
| 0.3% |
| Krawczyk et al., 201660 Região Serrana do Rio de Janeiro: Teresópolis, Nova Fribourg, Bom Jardim, Cantagalo, Duas Barras, and Sumidouro |
Ecological Study 1999-2013 |
Agricultural workers |
Cancer deaths |
Men 30-69 years
|
|
Reference group: non-agricultural workers in the mountainous region of Rio de Janeiro
|
| Stomach= MOR:1.55; 95%CI:1.13;2.12 |
| Esophageal cancers= MOR:1.93; 95%CI:1.38;2.7 |
|
Reference group: non-agricultural workers in Rio de Janeiro
|
| Stomach= MOR: 2.30; 95%CI:1.72;3.08 |
| Esophageal cancers= MOR: 3.12; 95%CI:2.30;4.24 |
|
Reference group: non-agricultural workers in Porto Alegre
|
| Stomach= MOR: 2.28 95%CI:1.69;3.08 |
| Esophageal cancers= MOR:1.72; 95%CI:1.26;2.34 |
| Fernandes et al., 201957 Osasco, Sorocaba, and São Paulo State |
Ecological Study 1980 to 2016 |
Asbestos |
Deaths from lung cancer (ICD-9, C162) (ICD-10, C33-34) |
Men |
| Osasco = AAPC: 0.7%; 95%CI:0.1;1.3 |
| Sorocaba = AAPC: -1.5%; 95%CI:-2.4;-0.6 |
| São Paulo State = AAPC: -0.1; 95%CI:-0.3;0.1 |
|
Period-age-cohort model from 1996 onward:
|
| Osasco: increased risk of death |
| Sorocaba: reduced risk of death |
| São Paulo State: reduced risk of death |
| Santos et al., 202062 Southern and Southeastern Brazil |
Ecological Study 2006 to 2017 |
Male mechanics |
Deaths from hypopharyngeal ICD-10, C10; nasopharynx ICD-10, C13; larynx ICD-10, C11; ICD-10 lung, C32; and bladder cancers ICD-10, C67; myeloid leukemia ICD-10, C92; and all ICD-10, C91-95 leukemias |
Oropharyngeal:MOR:1.84; 95%CI:1.66;2.11 |
| Hypopharynx: MOR:1.39; 95%CI:1.07;1.81 |
| Larynx: MOR: 1.45; 95%CI:1.32;1.59 |
| Lung: MOR: 1.07; 95%CI:1.01;1.12 |
| Bladder: MOR:1.16; 95%CI:1.02;1.32 |
| Leukemia: MOR:0.85; 95%CI:0.75;0.96 |
| Fernandes et al., 202168 State of São Paulo |
Cohort 1995 to 2016 |
Asbestos |
Cancer deaths |
Men: |
| Overall Mortality = SMR: 1.1; 95%CI:0.98;1.23 |
| Mesothelioma = SMR: 69.4; 95%CI:22.55;162.1 |
| Asbestosis = SMR: 975.7; 95%CI:396.4;2031 |
| Peritoneal cancer = SMR: 5,0; 95%CI:0.13;27.78 |
| Laryngeal cancer = SMR: 1,4; 95%CI:0.30;4.20 |
| Lung cancer = SMR: 1,5; 95%CI:0.82;2.64 |
| Saito et al., 202258 Five municipalities that mined asbestos and 24 that housed cement-asbestos industry plants in Brazil |
Ecological Study 2000 to 2017 |
Asbestos |
Deaths from mesothelioma (ICD-10, C45X), asbestosis (ICD-10, J61), pleural plaques (ICD-10, J92.0), lung cancer (ICD-10, C34), and ovarian cancer (ICD-10, C56) |
Men:
|
| Mesothelioma = SRR: 1.70; 95%CI:1.45;1.99 |
| Asbestosis= SRR: 6.35; 95%CI:4.86;8.28 |
| Pleural Plaques = SRR: 5.06; 95%CI:3.69;6.89 |
| Lung cancer= SRR: 1.33; 95%CI:1.31;1.34 |
|
Women:
|
| Mesothelioma = SRR: 1.17;95%CI:0.95;1.43 |
| Asbestosis = SRR: 1.86; 95%CI:0.96;3.39 |
| Pleural Plaques = SRR: 0.86; 95%CI:0.35;1.79 |
| Lung cancer = SRR: 1.19; 95%CI:1.17;1.20 |
| Ovary = SRR: 1.34; 95%CI:1.31;1.37 |
| Áfio et al., 202266 Reference Hospital in the State of Ceará |
Hospital-based case-control study 2019 and 2021 |
Occupations |
Lymphohematopoietic cancers, multiple myeloma, leukemias, or non-Hodgkin’s lymphoma |
Rural workers
|
| ORcrude = 5.00; 95%CI:1.91;13.06 |
| ORadjusted = 3.38; 95%CI:1.20;9.54 |
|
Commercial workers
|
| ORcrude = 0.26; 95%CI:0.10;0.70 |
| ORadjusted = 0.30; 95%CI:0.10;0.88 |
| Brey et al., 202267 Philanthropic Hospital in Curitiba-PR |
Hospital-based case-control study February and October 2019 |
Known (list A) or suspected (list B) occupations associated with lung cancer |
Cases of lung cancer (ICD-10, C34; including its subcategories) |
Painters (list A)
|
| OR= 14.3; 95%CI:1.8;116.5 |