Miranda Filho et al., 20145959. Miranda Filho AL, Koifman RJ, Koifman S, Monteiro GTR. Brain cancer mortality in an agricultural and a metropolitan region of Rio de Janeiro, Brazil: a population-based, age-period-cohort study, 1996-2010. BMC Cancer. 2014;14(1):320. 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., 20146161. Koifman S, Malhão TA, Pinto de Oliveira G, de Magalhães Câmara V, Koifman RJ, Meyer A. Cancer mortality among Brazilian dentists. Am J Ind Med. 2014;57(11):1255-64. 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., 20155656. Algranti E, Saito CA, Carneiro APS, Moreira B, Mendonça EMC, Bussacos MA. The next mesothelioma wave: mortality trends and forecast to 2030 in Brazil. Cancer Epidemiol. 2015;39(5):687-92. 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 al6363. Segatto MM, Bonamigo RR, Hohmann CB, Müller KR, Bakos L, Mastroeni S, et al. Residential and occupational exposure to pesticides may increase risk for cutaneous melanoma: a case-control study conducted in the south of Brazil. Int J Dermatol. 2015;54(12):e527-538. 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., 20166565. Boccolini P de MM, Boccolini CS, Chrisman J de R, Koifman RJ, Meyer A. Non-Hodgkin lymphoma among Brazilian agricultural workers: A death certificate case-control study. Arch Environ Occup Health. 2016;72(3):139-44. 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., 20166464. Fortes C, Mastroeni S, Segatto MM, Hohmann C, Miligi L, Bakos L, et al. Occupational exposure to pesticides with occupational sun exposure increases the risk for cutaneous melanoma. J Occup Environ Med. 2016;58(4):370-5. 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., 20162121. Nurminen M, Karjalainen A. Epidemiologic estimate of the proportion of fatalities related to occupational factors in Finland. Scand J Work Environ Health. 2001;27(3):161-213. 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., 20166060. Krawczyk N, Espíndola Santos AS, Lima J, Meyer A. Revisiting cancer 15 years later: exploring mortality among agricultural and non-agricultural workers in the Serrana Region of Rio de Janeiro. Am J Ind Med. 2016;60(1):77-86. 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., 20195757. Fernandes GA, Algranti E, Conceição GM de S, Wünsch Filho V, Toporcov TN. Lung cancer mortality trends in a Brazilian city with a long history of asbestos consumption. Int J Environ Res Public Health. 2019;16(14):2548. 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., 20206262. Santos ASE, Martins AAF, Simões Gonçalves E, Meyer A. Mortality from selected cancers among Brazilian mechanics. Asian Pac J Cancer Prev, 2020;21(6):1779-86. 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., 20216868. Fernandes GA, Algranti E, Wünsch-Filho V, Silva LF, Toporcov TN. Causes of death in former asbestos-cement workers in the state of São Paulo, Brazil. Am J Ind Med. 2021;64(11):952-9. 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., 20225858. Saito CA, Bussacos MA, Salvi L, Mensi C, Consonni D, Fernandes FT, et al. Sex-specific mortality from asbestos-related diseases, lung and ovarian cancer in municipalities with high asbestos consumption, Brazil, 2000-2017. Int J Environ Res Public Health, 2022;19(6):3656. 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., 20226666. Áfio NS, Forte ACFMS, Sanzana CES, Aguiar IWO. Trabalho rural associado a cânceres linfohematopoiéticos em hospital público de referência: estudo caso-controle, Ceará, Brasil, 2019-2021. Cad Saúde Pública. 2022;38(7):e00286121. 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., 20226767. Brey C, Consonni D, Sarquis LMM, Miranda FMDA. Câncer de pulmão e exposição ocupacional: estudo caso-controle de base hospitalar. Rev Gaúcha Enferm. 2022;43:e20210043. 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 |