Table 2.
Characteristics of Latin American and the Caribbean studies on pesticide exposure and genotoxicity published between 2007 and 2021 ().
Study | Year of publication/country | Population and sample size | Study design | Pesticides assessed | Exposure assessment method | Pesticide or metabolite concentrations | Health effect and assessment method/instrument | Results |
---|---|---|---|---|---|---|---|---|
Studies on OCs | ||||||||
Studies in children | ||||||||
1. Alvarado-Hernández et al.46 | 2013/Mexico | 50 mother–child (newborns) pairs living in a rural agricultural area | Cross-sectional | OCs | Maternal (collected at delivery) and cord blood HCH, HCB, aldrin, heptachlor epoxide, oxychlordane, chlordane, DDT, DDE, nonachlor, mirex, and endosulfan | Median (P25–P75) ( lipid): Maternal: (243–617); (1,009–2,094); (46–76); (208–528); heptachlor (2,941–5,167); oxychlordane 1,672 (977–2,232); ; ; ; , ; endosulfan (62–118); (153–1,041); (11–341) Cord blood: ; ; ; ; ; ; ; ; ; ; ; ; ; ; |
DNA damage: comet assay Cytogenetic damage: MN, CHBs, NPBs |
Null associations of OC pesticides with markers of cytogenetic or DNA damage. |
2. Jasso-Pineda et al.47 | 2015/Mexico | 276 children (6–12 years of age) living in communities with industrial activities (e.g., agriculture) | Cross-sectional | OCs | Questionnaire (drinking water, occupational and parental exposure history) Serum DDT |
( lipid): Range of total blood DDT concentrations in 11 communities: from 12.5 to 21,500 |
DNA damage: comet assay | Children with high total DDT concentrations (defined as higher than the national geometric mean) had a higher DNA damage compared with those with low total DDT concentrations (). Children exposed to PAHs (from biomass combustion) and DDT had the highest DNA damage compared with children in the other three exposure scenarios (high PAHs, high arsenic, and low lead exposure) (). |
3. Anguiano-Vega et al.48 | 2020/Mexico | 63 children (6–13 years of age) exposed to pesticides near school/24 controls (6–13 years of age) | Cross-sectional | OCs | Questionnaire (parental occupational exposure history) Hair HCH, aldrin, dieldrin, endrin, chlordane, heptachlor, epoxyheptane, endosulfan, DDD, DDE, DDT |
Total (mean) OCs (): Exposed: 28.2 (0.95) unexposed: 4.4 (0.18) |
Cytogenetic damage: MN, CC Cytotoxicity: KR, PK, BN, KL, LN, AN, TAC |
Higher frequency of PK, BN, KL, LN, and AT abnormalities among exposed children compared with unexposed ( for each). Among all participants, those in the highest tertile of total OC concentrations had higher numbers of TAC compared with those in the lowest tertile (). |
Studies on OPs or CBs | ||||||||
Studies in adults | ||||||||
4. Franco et al.56 | 2016/Brazil | 161 community health agents/88 controls | Cross-sectional | OPs | Questionnaire (occupational exposure history) | Not applicable | DNA damage: comet assay Transcriptome: LRP1, IGF2R, IGL family, IGJ, CXCL5, CCL3, NSH, LGALS14, NBPF |
Exposed individuals had higher DNA damage than controls (). Higher DNA damage in GSTM1-positive individuals than GSTM1-null individuals (). Sixteen genes with differential gene expression between exposed and controls. Compared with the controls, LRP1 and IGF2R genes were underexpressed and gene IGL family and IGJ were overexpressed in the exposed group. |
5. Martinez et al.67 | 2016/Argentina | 27 urban patients with SLE/17 rural patients with SLE/30 urban healthy controls/28 rural healthy controls | Cross-sectional | OPs and CBs | Questionnaire (residential exposure history) Blood AChE, BChEa |
Not applicable | Oxidative stress: CAT, SOD, GSH/GSSG ratio, TBARS | Increase in TBARS (18.3%, ) in rural SLE cases compared with urban SLE cases. |
6. Silvério et al.57 | 2017/Brazilb | 94 farmworkers exposed to pesticides including OPs/94 farmworkers exposed to pesticides not including OPs/50 controls | Cross-sectional | OPs | Questionnaire (occupational exposure history) Urinary DAPsa Blood AChE, BChEa |
(): Occupationally exposed to complex mixtures with OPs: ; Occupationally exposed to complex mixtures without OPs: ; Control group: ; |
Cytogenetic damage: MN, BN, NBUDs Cytotoxicity: CC, KR, PN, KL |
Farmworkers exposed to pesticides including OPs had higher NBUDs, CC, and KL than those exposed to pesticides but not OPs (). Both exposed groups had higher MN, BN, CC, KR, PN, and KL than controls (). |
7. Simoniello et al.66 | 2017/Argentina | 50 urban patients with SLE/39 rural patients with SLE/54 urban healthy controls/53 rural healthy controls | Cross-sectional | OPs | Questionnaire (residential exposure history) Blood AChE, BChEa |
Not applicable | DNA damage: comet assay Endo sites Oxidative stress: CAT, SOD, TBARS, GSH, GSSG |
Endo sites and SOD (, , , respectively) were higher in rural patients with SLE than urban ones. Rural patients with SLE had increased risk of having oxidative DNA damage than urban patients with SLE (; 95% CI: 1.4, 8.8). |
8. Zepeda-Arce et al.58 | 2017/Mexico | 60 sprayers with motor pump (high-exposure group)/126 solid pesticides sprayers (moderate-exposure group)/22 controls | Cross-sectional | OPs, pyrethroids, CBs | Questionnaire (occupational exposure history) Blood AChE, BChEa |
Not applicable | DNA damage: comet assay Oxidative stress: MDA, SOD, CAT, GPx, GR |
No differences in CAT, SOD, GPx, GR activities, DNA damage, and MDA levels between groups. |
9. Benitez-Trinidad et al.59 | 2018/Mexico | 127 urban pesticide sprayers/63 controls | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) Blood BChEa |
Not applicable | DNA methylation: LINE-1 | Decreased percentage of methylated cytosines in both moderate- and high-exposure groups compared with controls (). Those occupationally exposed had decreased %5mC LINE-1 methylation (; 95% CI: 0.2, 0.8). |
10. Xotlanihua-Gervacio et al.60 | 2018/Mexico | 58 spraying brigade workers (high-exposure group)/120 non-sprayer workers (moderate-exposure group)/23 controls | Cross-sectional | OPs, pyrethroids | Questionnaire (occupational exposure history) Urinary DAPsa |
Mean (range) of total DAPs (): ; ; |
Cytogenetic damage: MN, NBUDs, NPBs Oxidative stress: GPx, GR, SOD, CAT |
No differences in MN frequency between exposed workers and controls. A marginal decrease in SOD and CAT activities was observed in the high-exposure group compared with the reference group. |
11. Herrera-Moreno et al.61 | 2019/Mexico | 60 spraying brigade workers (high-exposure group)/126 pesticide distributors or occasional farmworkers (moderate-exposure group)/102 controls | Cross-sectional | OPs | Questionnaire (occupational exposure history) Urinary DAPsa |
Mean (range) of total DAPs (): ; ; |
DNA methylation: CDKN2B, CDKN2A | Lower DNA methylation of CDKN2B gene in both pesticide-exposed groups compared with controls (); higher methylation of the CDKN2A promoter in the moderate-exposure group compared with controls (). Association between pesticide exposure and methylation pattern in CDKN2B (; and ; for moderate and high-exposure groups, respectively) and DKN2A (; for moderate-exposure group). |
12. Paredes-Céspedes et al.68 | 2019/Mexico | 164 urban mestizo sprayers/189 indigenous persons without occupational pesticide exposure/91 mestizo individuals without occupational pesticide exposure (reference group) | Cross-sectional | OPs | Questionnaire (past and present pesticide exposure) Urinary DAPs |
Mean (range) of total DAPs (): ; ; |
DNA methylation: %5mC of | Increased %5mC in CpG sites 1 and 2 in mestizo sprayers compared with reference and indigenous groups (). Lower %5mC among indigenous group for CpG site 3 compared with reference and mestizo sprayer groups (). No correlations between total urinary DAP concentrations and %5mC in any group. Among the two mestizo groups, self-reported of deltamethrin was associated with decreased odds of having %5mC levels above the GM (; 95% CI: 0.5, 0.9), and self-reported use of temephos was associated with increased odds of having %5mC levels above the GM (; 95% Ci: 1.3, 5.7). |
13. Butinof et al.62 | 2019/Argentinab | 47 pesticide applicators/52 unexposed controls | Cross-sectional | OPs, CBs | Questionnaire (occupational exposure history) Blood BChEa |
Not applicable | DNA damage: comet assay Cytogenetic damage: CAs, MN |
Higher CA and MN frequencies and DNA damage in pesticide applicators compared with unexposed ( for each). |
14. Bernieri et al.63 | 2020/Brazil | 12 male soybean growers/12 unexposed control males | Cross-sectional | OPs | Questionnaire (occupational history) Blood BChE (measured in samples collected during periods of high and low exposure in the same year)a |
Not applicable | DNA damage (measured in samples collected during periods of high and low exposure in the same year): comet assay | DNA damage index higher in soybean growers during high exposure period compared with the low exposure period and with controls ( for each). No correlation between exposure time and DNA damage. |
15. Aiassa et al.65 | 2019/Argentina | 30 pesticide applicators/22 unexposed controls | Cross-sectional | OPs, carbamates | Questionnaire (occupational and environmental exposure history) Blood BChEa |
Not applicable | DNA damage: comet assay Cytogenetic damage: CA, MN |
Higher mean CA, MN, and DNA fragmentation values () in pesticide applicators than in unexposed controls. |
16. Valencia-Quintana et al.64 | 2021/Mexico | 54 farmworkers/26 unexposed controls | Cross-sectional | OPs, carbamates | Questionnaire (occupational exposure history) Blood AChE, BChEa |
Not applicable | DNA damage: comet assay Cytogenetic damage: MN Cytotoxicity: KR, KL, CC, PN |
Farmworkers had higher frequency of MN, KR, KL, CC, PN, and all other measured parameters than controls ( for each). |
Studies on other pesticides or multiple pesticide classes | ||||||||
Studies in children | ||||||||
17. Gómez-Arroyo et al.49 | 2013/Mexico | 125 children (1–13 years of age) living around areas of intensive agriculture/125 controls | Cross-sectional | Multiple pesticide classes | Questionnaire (residential exposure history) | Not applicable | Cytogenetic damage: MN, BN, NBUDs Cytotoxicity: KL, KR |
Exposed children had higher frequency of MN (; 95% CI: 2.7, 3.5), BN (; 95% CI: 3.9, 4.6), KL (; 95% CI: 2.6, 2.7), KR (; 95% CI: 14.8, 20.8), and NBUDs (; 95% CI: 1.5, 1.8) than controls. |
18. Bernardi et al.50 | 2015/Argentina | 50 children (4–14 years of age) living near pesticide application areas/ 25 controls | Cross-sectional | OPs, pyrethroids, glyphosate | Questionnaire (residential exposure history) | Not applicable | Cytogenetic damage: MN | Children living from pulverized areas had higher frequency of MN () than children living and controls (). |
19. Barrón Cuenca et al.55 | 2015/Bolivia | 41 children with chronic malnourishment/114 cases years of age | Cross-sectional | Multiple pesticide classes | Questionnaire (maternal occupational exposure history) | Not applicable | Cytogenetic damage: MN | Null associations between pesticide exposure and markers of cytogenetic damage. |
20. Castañeda-Yslas et al.51 | 2016/Mexico | 34 children of farmworkers (4–11 years of age)/38 child controls (7–14 years of age)/37 female farmworkers/35 controls | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational and parental exposure history) | Not applicable | Cytogenetic damage: MN, BN, NBUDs, NA, LN Cytotoxicity: KR, KL, CC, PN | Frequencies of MN (), LN (), and CC () were higher, and PN () lower in children of farmworkers than in children of controls. Higher MN () and CC (), and lower PN () frequencies in female farmworkers than controls. |
21. Nascimento et al.52 | 2017/Brazilb | 40 children (6–12 years of age) living near a tobacco-producing region | Prospective cohort | Multiple pesticide classes | Questionnaire (parental and seasonal exposure history) Blood AChE, BChEa |
Not applicable | Oxidative damage: MDA, PCO, vitamin C | MDA, PCO, and vitamin C () were higher at the beginning of application period than at leaf harvest period. |
22. Ruiz-Guzmán et al.30 | 2017/Colombia | 50 children (5–15 years of age) from agricultural villages/13 controls from nearby city | Cross-sectional | OPs, pyrethroids, atrazine, bipyridyl | Questionnaire (parental and residential exposure history) Urinary ATZ and its metabolites ADI and ADDI |
( creatinine): Pelayito: ; ; ; Aguas Negras: |
Cytogenetic damage: MN, NBUDs, apoptotic cells | Null associations of urinary ATZ and its metabolites with MN, NBUDs, or apoptotic cells. |
23. Quintana et al.54 | 2017/Argentinab,c,d | 151 mother–newborn pairs living in a rural area/38 mother–newborn pairs from an urban area (controls) | Cross-sectional | OPs | Questionnaire (residential and seasonal exposure history) Cord blood AChE, BChEa |
Not applicable | DNA damage: comet assay Oxidative stress: SOD, CAT |
DNA damage index was higher in RG-SS than controls (), but not significantly different between RG-SS and RG-NSS. SOD activity was lower in RG-SS compared with RG-NSS and controls (). |
24. Leite et al.53 | 2019/Paraguay | 43 children (5–10 years of age) living in agricultural community surrounded by transgenic soybean crops/41 children living in agricultural community using biological control of pests | Cross-sectional | Multiple pesticide classes | Questionnaire Blood AChEa |
Not applicable | DNA damage: comet assay Cytogenetic damages: MN, BN, BE Cytotoxicity: KR, KL, CC, PN |
Higher MN, BN, BE, KR, KL, PN, and CC in exposed group compared with control group ( for each). Higher mean values of tail length and tail movement among exposed vs. unexposed group ( for each). |
Studies in adults | ||||||||
25. Jørs et al.69 | 2007/Bolivia | 48 farmworkers/33 controls | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) | Not applicable | DNA damage: comet assay Cytogenetic damage: CAs |
Higher DNA damage and frequencies of CAs in farmworkers than in controls (). Number of CAs increased with the intensity of pesticide exposure. |
26. Kehdy et al.70 | 2007/Brazil | 29 sanitation workers/30 controls | Cross-sectional | OPs, pyrethroids, rodenticides | Questionnaire (occupational exposure history) | Not applicable | Cytogenetic damages: MN, NPBs, APOP, NECR, NDI | Higher frequencies of MN, NB, and NECR in sanitation workers than in controls (). No difference in APOP frequency between groups. NDI was lower in the sanitation workers than controls (). |
27. da Silva et al.86 | 2008/Brazil | 108 vineyard farmworkers/65 controls | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) | Not applicable | DNA damage: comet assay Cytogenetic damage: MN, BNMN |
Higher BNMN frequency, DI, and DF in farmworkers compared with controls (. Higher MN frequency in PON1 Gln/Gln individuals in the exposed group, compared with PON1 Arg/– in the exposed group (). |
28. Simoniello et al.91 | 2008/Argentina | 27 pesticide applicator farmworkers/27 non-pesticide applicator farmworkers/30 controls | Cross-sectional | Multiple pesticide classes | Occupation (pesticide applicator farmworker, non-pesticide applicator farmworker, non-farmworker) | Not applicable | DNA damage: comet assay, damage index repair assay | Pesticide applicators and non-applicator farmworkers had higher DNA damage than unexposed controls (). |
29. Bortoli et al.92 | 2009/Brazil | 29 farmworkers/37 controls | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) | Not applicable | Cytogenetic damage: MN | Significantly higher mean MN frequency in farmworkers than in controls (). |
30. Martínez-Valenzuela et al.93 | 2009/Mexico | 70 farmworkers/70 controls | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) | Not applicable | Cytogenetic damage: SCE, MN, NA, CPK | Significantly higher mean SCE and MN frequencies in farmworkers than in controls ( for each). |
31. Remor et al.94 | 2009/Brazilb | 37 farmworkers/20 controls | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) Blood BChEa |
Not applicable | DNA damage: comet assay Cytogenetic damage: MN |
Higher DI () and DF () in farmworkers than in controls. MN frequencies were not different between groups. |
32. Simoniello et al.95 | 2010/Argentina | 45 farmworkers applicator/50 farmworkers non-applicator/50 controls | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) Blood AChE, BChEa |
Not applicable | DNA damage: comet assay Oxidative damage: CAT activity, TBARS |
Increased TBARS levels among farmworkers directly exposed () but not among those indirectly exposed. CAT reduction in both exposed groups respect to controls ( and , respectively). IDEC and IDER increased in both exposed groups (). |
33. Paz-y-Miño et al.105 | 2011/Ecuador | 92 exposed from communities with aerial spraying/90 controls | Cross-sectional | GLY | Questionnaire (residence exposure history) | Not applicable | Cytogenetic damage: CAs, karyotype | Levels of cytogenetic damage and DNA alterations were similar between groups. |
34. Payán-Rentería et al.96 | 2012/Mexicob | 25 farmworkers and applicators/21 controls | Cross-sectional | OCs, OPs, herbicides | Medical examination Questionnaire (occupational exposure history) Blood AChEa |
Not applicable | DNA damage | Higher circulating DNA fragments () in farmworkers than in controls. |
35. Benedetti et al.97 | 2013/Brazil | 81 farmworkers/46 controls | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) Blood BChEa |
Not applicable | DNA damage: comet assay Cytogenetic damage: MN, BN, NBUDs Cytotoxicity: CC, KR, KL |
Farmworkers had higher DNA damage (), frequency of MN (), NBUDs (), BN (), and cell death (CC, ; KR, , and KL, ) compared with controls. |
36. Khayat et al.71 | 2013/Brazil | 41 farmworkers/32 controls | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) | Not applicable | DNA damage: comet assay Cytogenetic damage: MN |
Higher MN () and BN frequencies (), %DNA in the tail (), TM (), OTM () in farmworkers than controls, but not in TL (). |
37. Varona-Uribe et al.106 | 2014/Colombia | 223 farmworkers | Cross-sectional | OCs, OPs, CBs, fungicides | Blood OPs: bromophos-ethyl, bromophos-methyl, chlorpyriphos, dimethoate, malathion, methamidophos, methyl parathion, pirimiphos, pirimiphos-methyl, profenofos Blood CBs: aminocarb, bendiocarb, metolcarb, pirimicarb, propoxur Blood OCs: BHC, HCB, heptachlor, heptachloro epoxide, chlordane, endosulfan, DDT DDE, carbofuran, mirex Urinary |
Median (P25–P75) (): , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
DNA damage: comet assay | Higher concentrations of , , and HCB (as a mixture) (; 95% CI: 0.33, 2.10) and of pirimiphos-methyl, malathion, bromophos-methyl, and bromophos-ethyl (as a mixture) (; 95% CI: 2.34, 21.60) were associated with higher DNA damage and comet tail length, respectively. |
38. Adad et al.98 | 2015/Brazilb | 80 men farmworkers from state association/20 men farmworker from a private company/100 controls | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) Blood BChEa |
Not applicable | Cytogenetic damage: MN, BN Cytotoxicity: KR, KL |
Higher frequencies of MN (), KR (state group ; private group ), KL (both exposed groups ), and BN cells (both exposed groups ) in both exposed groups than in controls. |
39. Wilhelm et al.72 | 2015/Brazil | 37 floriculturists/37 controls | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) | Not applicable | DNA damage: comet assay Cytogenetic damage: MN, NBUDs, BN Cytotoxicity: KR |
MN, NBUDs, BN, and KR frequencies were similar between exposed and controls. Higher DNA damage in the exposed compared with controls ( for DI and DF). |
40. Alves et al.73 | 2016/Brazilb | 77 tobacco farmworkers/60 controls | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) | Not applicable | DNA damage: comet assay Cytogenetic damage: MN Oxidative stress: SOD |
MN frequency, DF, and DI were higher in farmworkers than controls (). Higher SOD activity in exposed relative to unexposed group (). Higher MN frequency in PON1 Gln/Gln individuals in the exposed group, compared with PON1 Arg/– individuals in the exposed group (). |
41. Kahl et al.74 | 2015/Brazil | 62 tobacco farmworkers/62 controls | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) | Not applicable | aTL Oxidative stress: TBARS, TEAC |
Farmworkers had higher TEAC () and TBARS (), but lower aTL (, ) than controls. |
42. Bianco et al.99 | 2017/Argentina | 76 farmworkers/53 controls | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) Blood AChEa |
Not applicable | Cytogenetic damage: CAs | Farmworkers had higher CAs frequency () than controls. |
43. Chaves et al.75 | 2017/Brazil | 97 farmworkers/55 controls | Cross-sectional | CBs, OPs, pyrethroids | Questionnaire (occupational and lifestyle exposures history) | Not applicable | Cytogenetic damage: Cas, MN | Increased frequency of CAs () and MN () in farmworkers than in controls. |
44. Hilgert Jacobsen-Pereira et al.100 | 2018/Brazil | 50 farmworkers/46 controls from the same agricultural area/29 controls from urban area | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) Blood AChE, BChEa |
Not applicable | DNA damage: comet assay. Cytogenetic damage: MN, NBUDs, NPBs Oxidative stress: TBARS, CAT activity |
Higher DI (), MN (), NBUD (), and NPB () frequencies in farmworkers than controls. TBARS level was higher in exposed and in rural controls than urban controls. CAT activity was similar among groups. |
45. Tomiazzi et al.76 | 2017/Brazil | 30 nonfarmer smokers/30 nonsmoker farmworkers/30 smokers and farmworkers/30 controls | Cross-sectional | OPs, pyrethroids, glyphosate | Questionnaire (occupational exposure history) | Not applicable | Cytogenetic damage: MN, BNMN Cytotoxicity: KL, KR, CC |
MN frequency and the total cytogenetic abnormalities were higher in all exposed groups than in controls (). |
46. Vazquez-Boucard et al.77 | 2017/Mexico | 107 consumers of well or tap water/40 consumers of bottled water (controls) | Case–control | OCs, OPs, neonics | Questionnaire (occupational exposure history) Regional water sampling |
Not applicable | DNA damage: comet assay | Higher DNA damage in those who consumed well or tap water than in control group (). Individuals who consumed well or tap water and worked in agriculture had higher DNA damage than controls (). |
47. Marcelino et al.90 | 2017/Brazil | 18 farmworkers/18 unexposed controls | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) | Not applicable | DNA damage: comet assay Cytogenetic damage: MN |
Significantly higher DNA and cytogenetic damage in exposed group compared with unexposed group ( for each). |
48. Hutter et al.78 | 2018/Dominican Republic | 38 exposed farmworkers/33 control farmworkers | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) | Not applicable | Cytogenetic damage: MN, BUD, BN Cytotoxicity: CC, KR, KL, PN |
All cytogenetic damage and cytotoxicity biomarkers were more frequent among farmworkers: MN (; 95% CI: 1.3, 7.4), total MN (; 95% CI: 1.2, 5.2), BUD (; 95% CI: 1.5, 2.5), BN (; 95% CI: 1.2, 1.7), CC (; 95% CI: 1.1, 1.6), KR (; 95% CI: 1.0, 1.4), KL (; 95% CI: 1.1, 1.5), PN (; 95% CI: 2.5, 8.2). |
49. Kahl et al.80 | 2018/Brazil | 56 tobacco farmworkers/74 controls | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) | Not applicable | DNA damage: comet assay Telomere length Oxidative stress: TEAC, TBARS DNA methylation: global and p16 methylation |
Farmworkers had higher DNA damage (), lower percentage global DNA methylation, shorter telomeres (), and p16 hypermethylation () compared with controls. |
50. Cattelan et al.88 | 2018/Brazilb | 84 farmworkers who used pesticides/68 farmworkers who did not use pesticides | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) | Not applicable | Cytogenetic damage: MN Oxidative stress: CAT, GPx, GSH, SOD, TBARS, carbonylated protein levels |
Lower mean TBARS (), GPx (), GSH (), and SOD () values in farmworkers who did not use pesticides than in those who did use pesticides. No differences in MN frequency between groups. |
51. Kahl et al.89 | 2018/Brazil | 40 tobacco farmworkers/40 unexposed controls | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) | Not applicable | Cytogenetic damage: MN, NPB, NBUDs Telomere length DNA methylation: global MTHFR and TERT genotypes |
Higher frequencies of MN, NPB, NBUD, and binucleated cells in farmworkers than controls ( for each). Shorter telomere length () and lower DNA global methylation levels () in exposed group. Allele and genotype frequencies of MTHFR gene were different between exposed and unexposed groups (). No differences between groups for TERT polymorphism frequencies. |
52. Claudio et al.79 | 2019/Brazil | 21 male banana farmworkers/20 controls | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) | Not applicable | Cytogenetic damage: MN Cytotoxicity: PN, KR, KL |
Higher MN and KR frequencies in farmworkers than controls ( for both), but KL and PN were similar between groups. |
53. de Oliveira et al.101 | 2019/Brazil | 76 soybean farmworkers/72 controls | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history). Blood BChEa |
Not applicable | Cytogenetic damage: MN, BN, NBUDs Cytotoxicity: PN, KR, KL, CC Telomere length XCCR1 Trip/– and PON1 Arg/– genes |
Increased cytogenetic damage (MN and NBUDs ; BN ) and cell death (CC and KR ) in the exposed group compared with controls. Telomere length was similar in both groups. Higher frequencies of BN cells in farmworkers (), and NBUDs in controls () belonging to those carrying XCCR1 Trip/– and PON1 Arg/– genes. |
54. Arévalo-Jaramillo et al.81 | 2019/Ecuadorb | 62 women living in 2 agricultural communities/53 unexposed women from control community | Cross-sectional | Multiple pesticide classes | Questionnaire | Not applicable | Cytogenetic damage: MN, NBUDs, notched cells, BN Cytotoxicity: PK, KL, KR, CC |
Lower BN () and higher KL () and KR () among those in the first agricultural community compared with controls. Higher NBUDs () and notched cells () among those in the second agricultural community compared with the controls. Mean MN not statistically different between controls and exposed groups. Increased frequency of KL, KR, and CC cells among individuals with genetic polymorphisms in PON1 and GSTP1 genes. |
55. Barrón Cuenca et al.82 | 2019/Bolivia | 297 men and women (17–70 years of age) from three agricultural communities | Cross-sectional | Fungicides, OPs, pyrethroids, herbicides | Questionnaire (occupational history) Urinary metabolites of tebuconazole, chlorpyrifos, permethrin, cypermethrin, cyfluthrin, phenoxy herbicides, bifenthrin, thiabendazole, pyrimethanil |
Mean (IQR) of pesticide metabolites () in total population: ; ; ; ; ; ; ; ; ; |
DNA damage Cytogenetic damage: MN |
Increased MN frequency among those with y active farming compared with those with y active farming. Days of active spraying per month was not associated with genotoxic damage. Increased odds of DNA strand breaks among those with high exposure to 2,4-D (); 95% CI: 1.1, 3.6 for tail movement and ; 95% CI: 1.0, 3.1 for %DNA in tail). Decreased odds of DNA strand breaks among those with high exposure to pyrethroids (; 95% CI: 0.3, 0.9 for %DNA in tail and ; 95% CI: 0.3, 1.0 for tail movement). High exposure to certain mixtures of pesticides (containing mainly 2,4-D or cyfluthrin) was associated with increased DNA strand breaks, but not increased chromosomal aberrations (). Higher levels of DNA strand breaks among participants with certain GSTM1 genotypes. |
56. Cepeda et al.83 | 2020/Colombia | 5 farmers/5 unexposed controls | Cross-sectional | Multiple pesticide classes | Questionnaire (pesticide exposure history) | Not applicable | Cytogenetic damage: CA, chromosomal instability | Increased total clonal and non-clonal CAs were observed in pesticide-exposed individuals compared with unexposed individuals (). Higher frequency of fragilities and chromatid/chromosomic breakage in exposed group compared with unexposed group ( for each). |
57. Hutter et al.84 | 2021/Ecuador | 34 male farmworkers engaged in conventional farming/37 male unexposed controls engaged in ecological farming | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) | Not applicable | Cytogenetic damage: MN, BUD, BN Cytotoxicity: CC, KR, KL, PK, basal cells |
Compared with controls working on ecological farms, those working on conventional farms had higher frequency of MN, BUD, BN, KR, CC, and KL ( for each). |
58. Salazar-Flores et al.85 | 2020/Mexico | 113 farmworkers/93 unexposed controls | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) | Not applicable | Oxidative stress: GSH, GSSG, GSH/GSSG ratio, carbonyl groups in proteins, nitrates–nitrites, lipoperoxides, membrane fluidity | Lower levels of GSH, GSSG, carbonyl groups in proteins, nitrates–nitrites, lipoperoxides, and membrane fluidity among farmworkers compared with unexposed controls ( for each). No differences in most markers of oxidative stress between farmworkers and controls when farmworkers were grouped in four exposure categories. |
59. Lovison Sasso et al.102 | 2021/Brazilb | 50 male farmworkers/50 male controls | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) Blood BChEa |
Not applicable | Oxidative stress: GSH, CAT, GR, GPx, SOD, TBARS, carbonylated protein levels | Lower SOD, CAT, GSH, GR, and GPx activity, but higher TBARS and carbonylated protein levels, among exposed group compared with controls ( for each). |
60. de Souza Espindola Santos et al.87 | 2021/Brazil | 52 farmworkers/68 non-farmworkers | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) | Not applicable | Oxidative stress: CAT, SOD, thiols, GST, GPx, GR, 8-ISO | No differences in biomarkers of oxidative stress between farmworkers and non-farmworkers. |
61. Fillippi et al.103 | 2021/Argentinab | 47 pesticide applicators/53 unexposed controls | Cross-sectional | Multiple pesticide classes | Questionnaire (occupational exposure history) Blood HCB, HCH, endosulfan, DDE, DDT, AChE, BChEa |
Not applicable | DNA damage: comet assay Cytogenetic damage: SCE, CA, MN | Pesticide applicators had more DNA damage, as well as higher SCE, CA, MN frequencies, compared with controls ( for each). |
62. Mañas et al.104 | 2021/Argentina | 41 adults living in area of intensive agricultural production ( from sprayed fields)/24 unexposed adults ( from sprayed fields) | Cross-sectional | Multiple pesticide classes | Residential proximity to agricultural fields | Not applicable | Cytogenetic damage: CAs, BNMN | Higher frequencies of CAs and BNMN in exposed group compared with unexposed group ( for each). Among exposed group, higher CAs among those living from fields compared with those living (). |
Note: %5mC, percentage 5mC; %DNA, percentage DNA; 2,4-D, 2,4-dichlorophenoxy acetic acid; 8-ISO, 8-isoprostane; 3-BPA, 3-phenoxybenzoic acid; 4F3BPA, 4-fluoro-3-phenoxybenzoic acid; 5-OH-TBZ, 5-hydroxytiabendazole; AChE, acetylcholinesterase; ADI, atrazine desisopropyl; ADDI, atrazine desethyl-desisopropyl; APOP, apoptotic cells; AT, apoptosis; aTL, absolute telomere length; ATZ, atrazine; BChE, butyrylcholinesterase; BE, broken egg; BHC, benzene hexachloride; BN, binucleated cells; BNMN, binucleated cells with micronuclei; BUD, nuclear buds and broken eggs; CAs, chromosomal aberrations; CAT, catalase; CBs, carbamates; CC, condensed chromatin; CCL3, chemokine signaling pathway gene; CDKN2A, cyclin dependent kinase inhibitor 2A; CDKN2B, cyclin dependent kinase inhibitor 2B; CFCA, chloro-3,3,3-trifluoro-1-propen-1-yl]-2,2-dimethylcyclopropanecarboxylic acid; CHBs, chromatin buds; CI, confidence interval; CIN, chromosomal instability; CPK, cell proliferation kinetics; CXCL5, CXC subfamily of chemokine gene; DAP, dialkyl phosphate; DCCA, 3-(2,2-dichlorovinyl)-2,2-dimethylcyclopropane carboxylic acid; DDD, dichlorodiphenyldichloroethane; DDE, dichlorodiphenyldichloroethylene; DDT, dichlorodiphenyltrichloroethane; DF, damage frequency; DI, damage index; DNA, deoxyribonucleic acid; ETU, ethylenethiourea; GLY, glyphosate; GM, geometric mean; GPx, glutathione peroxidase; GR, glutathione reductase; GSH, reduced glutathione; GSSG, oxidized glutathione; GST, glutathione -transferase; HCB, hexachlorobenzene; HCH, hexachlorocyclohexane; IDEC, comet assay damage index; IDER, repair test damage index; IGF2R, insulin like growth factor 2 receptor; IGJ, joining chain of multimeric IgA and IgM; IGL, immunoglobulin lambda locus; KL, karyolysis; KR, karyorrhexis; LGALS14, lectin galactoside-binding soluble 14; IQR, interquartile; LINE-1, long interspersed nucleotide element 1; LN, lobulated nucleus; LOD, limit of detection; LRP1, LDL receptor related protein 1; MCPA, 4- chloro-2-methylphenoxy acetic acid; MDA, malondialdehyde; MN, micronuclei; NA, nuclear abnormalities; NBPF, neuroblastoma breakpoint family genes; NBUDs, nuclear buds; NDI, nuclear division index; NECR, necrotic cells; NPBs, nucleoplasmic bridges; NSS, non-spraying season; OC, organochlorine; OH-PYR, 3-hydroxy-pyrimetanil; OP, organophosphate; OR, odds ratio; OTM, olive tail moment; P, percentile; PAHs, polycyclic aromatic hydrocarbons; PCO, protein carbonyls; PK, pyknosis; PN, pyknotic cells; PON1, paraoxonase 1 gene; RBCs, red blood cells; Ref, reference group; RG, rural group; S, Sulfur; SCE, sister chromatids exchanges; SD, standard deviation; SE, standard error; SLE, Systemic Lupus Erythematosus; SOD, superoxide dismutase; SS, spraying season; TAC, total abnormal cells; TBARS, thiobarbituric acid reactive substances; TBE-OH, hydroxy-tebuconazole; TCPy, 3,5,6-trichloro-2-pyridinol; TEAC, total equivalent antioxidant capacity; TL, tail length; TM, tail moment.
Investigators did not use exposure biomarker concentrations in multivariate analyses.
Also included in Table 9 (other health effects).
Also included in Table 4 (placental outcomes and teratogenicity).
Also included in Table 8 (birth outcomes and child growth).