| Literature DB >> 28690397 |
Ezra Jonathan Mrema1, Aiwerasia Vera Ngowi1, Stephen Simon Kishinhi1, Simon Henry Mamuya1.
Abstract
Commercialization of horticulture farming, expansion of farms, and the practice of monoculture favor the proliferation of pests, which in turn increases the need for pesticides. Increased exposure to pesticides is associated with inadequate knowledge on the hazardous nature of pesticides, poor hygiene practices, lack of availability of washing facilities, and insufficient adherence to precautionary instructions on pesticide labels. Mitigating the risks posed by pesticides is considered a less compelling interest than alleviating poverty. Women working in horticulture in Tanzania usually have low levels of education and income and lack decision-making power even on matters relating to their own health. This contributes to pesticide exposure and other health challenges. Because of multiple factors, some of which act as study confounders, few studies on exposure to pesticides and health effects have been conducted among women. This review identified factors that contribute to the increased health effects among women working in the horticultural industry and how these effects relate to pesticide exposure.Entities:
Keywords: Pesticide exposure; Tanzania; diseases; horticulture; women
Year: 2017 PMID: 28690397 PMCID: PMC5484550 DOI: 10.1177/1178630217715237
Source DB: PubMed Journal: Environ Health Insights ISSN: 1178-6302
Horticulture crops grown in production regions, Tanzania.
| ZONE | REGION | HORTICULTURE CROPS |
|---|---|---|
| Southern highlands | Morogoro | Tropical and temperate fruits and vegetables (including dessert bananas and onions) and spices (clove, ginger, and turmeric) |
| Iringa | Temperate fruits, tropical vegetables (tomatoes, onions, etc) | |
| Njombe | Cut rose flowers | |
| Mbeya | Temperate and tropical fruits and vegetables (avocados, tomatoes, banana, citrus, etc) | |
| Ruvuma | Onions, tomatoes, flowers, vegetables, and fruits (peaches, avocados, passion fruit, mangoes) | |
| Northern corridor | Arusha | Flowers, temperate fruits, and vegetables |
| Kilimanjaro | Flowers, avocados, bananas, temperate fruits and vegetables, mushrooms | |
| Manyara | Temperate fruits and vegetables | |
| Tanga | Temperate fruits and vegetables, tropical fruits and spices | |
| Coastal zone | Coast (Pwani) | Tropical fruits |
| Dar es Salaam | Tropical fruits and vegetables, mushrooms | |
| Central zone | Dodoma | Grapes, tomatoes, and onions |
| Lake zone | Kagera | Vanilla, bananas |
| Mwanza | Tropical vegetables (eggplant, cabbage, etc) | |
| Mara | Bananas and tropical vegetables | |
| Western zone | Kigoma | Tropical vegetables (onions, carrots) and spices (vanilla, turmeric, ginger, etc) |
Figure 1Horticulture production regions in Tanzania.
Pesticides used in horticulture in northern Tanzania.
| TRADE NAME | ACTIVE INGREDIENT | CHEMICAL GROUP | WHO CLASS | TYPE | REGISTRATION STATUS | SOME HEALTH EFFECTS | REFERENCES ON HEALTH EFFECTS |
|---|---|---|---|---|---|---|---|
| Thionex/thiodan | Endosulfan | OC | II | Insecticide | Registered | Suspected EDC | US EPA |
| Selectron | Profenofos | OP | II | Insecticide | Registered | N, CI | US EPA |
| Profecron | Profenofos | OP | II | Insecticide | Registered | CI | US EPA |
| Helarat | λ-cyhalothrin | P | II | Insecticide | Registered | Suspected EDC, I | Kim et al, |
| Karate | λ-cyhalothrin | P | II | Insecticide | Registered | Suspected EDC, I | Kim et al, |
| Dimethoate | Dimethoate | OP | II | Insecticide | Registered | CI | US EPA |
| Rogor | Dimethoate | OP | II | Insecticide | Registered | CI | US EPA |
| Bamethrin | Deltamethrin | P | II | Insecticide | Registered | ||
| Shumba Super | Fenitrothion + deltamethrin | OP/P | II | Insecticide | Registered | CI | US EPA |
| Polytrin | Cypermethrin | P | II | Insecticide | Unregistered | C | US EPA |
| Zetabestox | ζ-Cypermethrin | P | IB | Insecticide | Registered | ||
| Dursban | Chlorpyrifos | OP | II | Insecticide | Registered | CI | NPIC |
| Antokil | Chlorpyrifos | OP | II | Insecticide | Registered | CI | NPIC |
| Furadan | Carbofuran | C | IB | Insecticide | Registered | EDC, CI | US EPA |
| Termik | Aldicarb | C | 1A | Insecticide | Unregistered | EDC, CI | US EPA |
| Banko plus | Chlorothalonil + carbendazim | OC | U | Fungicide | Registered | C | US EPA |
| Bravo | Chlorothalonil | OC | II | Fungicide | Registered | C | US EPA |
| Rova | Chlorothalonil | OC | NK | Fungicide | Registered | C | US EPA |
| Linkonil | Chlorothalonil | OC | NK | Fungicide | Registered | C | US EPA |
| Kalachi | Glyphosate | OP | III | Herbicide | Registered | ||
| Roundup | Glyphosate | OP | III | Herbicide | Registered | ||
| Mamba | Glyphosate | OP | III | Herbicide | Registered | ||
| Balton | 2-4-D Amine | AA | U | Herbicide | Registered | ||
| Bayleton | Triadimefon | T | II | Fungicide | Registered | PC | US EPA |
| Permethrin | Permethrin | P | II | Insecticide | Unregistered | ||
| Diazinon | Diazinon | OP | II | Insecticide | Unregistered | CI | US EPA |
| Diazol | Diazinon | OP | II | Insecticide | Unregistered | CI | US EPA |
| Malathion | Malathion | OP | III | Insecticide | Registered | CI | US EPA |
| Actellic super | Pirimiphosmethyl | OP | II | Insecticide | Registered | N, CI | US EPA |
| Carbaryl | Carbaryl | C | II | Insecticide | Unregistered | N, CI | US EPA |
| Victory | Metalaxy | A | II | Fungicide | Registered | ||
| Propamocarb hydrochloride | Pyrethrins | P | No class | Fungicide | Unregistered | ||
| Thiovit | Sulfur | S | III | Fungicide | Registered | I | US EPA |
| Meltatox | Triforine | U | Fungicide | Unregistered | I | US EPA | |
| Ridomil | Metalaxyl/mancozeb | D | III | Fungicide | Registered | I/CI | Strivastava and Kesavachandran |
| Farmerzeb | Mancozeb | D | II | Fungicide | Registered | CI | Strivastava and Kesavachandran |
| Dithane | Mancozeb | D | III | Fungicide | Registered | CI | Strivastava and Kesavachandran |
| Milthane | Mancozeb | D | U | Fungicide | Unregistered | CI | Strivastava and Kesavachandran |
| Indofil | Mancozeb | D | III | Fungicide | Registered | CI | Strivastava and Kesavachandran |
| Ivory | Mancozeb | D | IB | Fungicide | Registered | CI | Strivastava and Kesavachandran |
| Red copper | Copper oxide | Cu | III | Fungicide | Registered | ||
| Cuprocaffaro | Copper oxychloride | Cu | II | Fungicide | Registered | ||
| Blue copper | Copper sulfate | Cu | II | Fungicide | Registered |
Chemical groups: C, carbamate; OC, organochlorine; D, dithiocarbamate; P, pyrethroid; OP, organophosphate; A, acylalanine; AA, aryloxyalkanoic acid; Cu, inorganic copper; T, triadimefon; S, sulfur.
WHO class: 1A, extremely hazardous; 1B, highly hazardous; II, moderately hazardous; III, slightly hazardous; U, unlikely to present acute hazard in normal use; NK, not known.
Health effects: C, carcinogen; CI, cholinesterase inhibitor; EDC, endocrine disruptor; I, irritant; N, neurotoxin; PC, possible carcinogen.
Symbols: λ, lambda; ζ, zeta.
Referenced organizations: US EPA, United States Environmental Protection Agency; NPIC, National Pesticide Information Center.
Adapted from Lema et al.6
Prevalence of certain diseases reported among women in horticultural regions of Tanzania that could be related to pesticide exposure—(presented by HIMS for OPD patients in 2015).
| REGION | UPPER RESPIRATORY INFECTIONS | OTHER DIAGNOSIS | ILL-DEFINED SYMPTOMS | HYPERTENSION | GYNECOLOGICAL DISEASES | RHEUMATOID AND JOINT DISEASES | PREGNANCY COMPLICATIONS | SKIN INFECTION, NONFUNGAL | BRONCHIAL ASTHMA | DIABETES MELLITUS | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Arusha (N = 665 097) | % | 16.15 | 6.64 | 4.05 | 3.06 | 2.87 | 2.65 | 2.19 | 2.13 | 1.90 | 1.86 |
| KLM (N = 589 420) | % | 21.97 | 4.93 | 3.43 | 5.65 | 0.67 | 4.25 | 0.90 | 1.52 | 2.64 | 3.02 |
| Manyara (N = 250 918) | % | 15.53 | 5.12 | 2.96 | 1.00 | 0.78 | 1.53 | 0.93 | 1.76 | 1.96 | 0.98 |
| Morogoro (N = 536 206) | % | 10.52 | 4.57 | 2.18 | 1.98 | 0.64 | 0.74 | 0.85 | 1.30 | 0.89 | 0.59 |
| Iringa (N = 275 851) | % | 17.61 | 6.14 | 5.86 | 2.19 | 1.15 | 2.32 | 1.14 | 2.56 | 1.05 | 0.61 |
| Njombe (N = 167 942) | % | 18.09 | 6.52 | 6.02 | 2.40 | 0.91 | 3.02 | 1.14 | 2.00 | 1.17 | 0.62 |
| Mbeya (N = 414 072) | % | 14.86 | 4.91 | 3.27 | 2.48 | 0.90 | 1.70 | 1.84 | 2.09 | 1.89 | 1.02 |
| Ruvuma (N = 332 073) | % | 12.15 | 3.79 | 2.85 | 2.77 | 0.96 | 0.60 | 0.94 | 1.19 | 1.26 | 0.66 |
| Dodoma (N = 149 806) | % | 20.44 | 5.16 | 3.40 | 0.83 | 0.47 | 1.02 | 1.19 | 1.75 | 1.66 | 0.33 |
| Kagera (N = 525 940) | % | 11.94 | 4.09 | 3.11 | 1.84 | 0.35 | 0.56 | 1.02 | 0.80 | 0.78 | 0.92 |
| Mwanza (N = 509 382) | % | 8.97 | 5.10 | 2.44 | 1.08 | 0.65 | 0.45 | 1.20 | 1.13 | 0.72 | 0.84 |
| Mara (N = 474 714) | % | 12.76 | 3.34 | 1.69 | 1.31 | 0.55 | 0.31 | 1.24 | 1.03 | 1.13 | 0.83 |
| Kigoma (N = 470 515) | % | 12.49 | 3.58 | 3.10 | 0.79 | 0.00 | 0.82 | 0.61 | 0.74 | 0.81 | 0.44 |
| Tanga (N = 646 688) | % | 13.03 | 3.30 | 2.72 | 3.27 | 0.78 | 1.00 | 0.46 | 1.56 | 1.48 | 1.13 |
| Coast (N = 266 929) | % | 11.68 | 7.31 | 2.17 | 3.16 | 0.26 | 0.86 | 1.09 | 1.31 | 1.32 | 0.66 |
| DSM (N = 151 1799) | % | 10.69 | 4.03 | 2.76 | 4.17 | 2.32 | 0.84 | 1.38 | 2.21 | 0.96 | 2.28 |
KLM, Kilimanjaro; DSM; Dar es Salaam; HIMS; Health Information Management System; OPD, outpatient department.
N: number of patients, age 5 years or older who received outpatient care in 2015.
Studies of the impact of pesticides on women and their offspring.
| PUBLICATION | YEAR OF PUBLICATION | POPULATION | NATURE OF EXPOSURE | CONCLUSION |
|---|---|---|---|---|
| Abell et al | 2000 | Denmark: 1767 female members of Danish Gardeners Trade Union; 492 pregnant women assessed | Workers in greenhouses handling flower cultures, spraying pesticides | Female workers in flower greenhouses may have reduced fecundability and pesticide exposure may be part of the causal chain |
| Bazylewicz-Walczak et al | 1999 | Poland: 51 women working in gardening enterprises. Of these, 26 performed planting jobs in greenhouses and were occupationally exposed to several organophosphates; 25 women were not exposed | Long-term exposure to several organophosphate | The exposed female workers were characterized by longer reaction times and reduced motor steadiness compared with the unexposed workers. Also, increased tension, greater depression and fatigue, and more frequent symptoms of central nervous system disturbances were observed in the exposed women compared with the controls |
| Bretveld et al | 2008 | Review of epidemiological studies that found associations between pesticide exposure and reproductive effects that may have been due to disruption of the female hormonal function | Long-term exposure | Occupational exposure to pesticides appears to have adverse effects on female reproduction. Endocrine disruptors that accumulate in the body may eventually reach higher threshold levels necessary for exertion of their biological effects |
| Cohn et al | 2015 | Child Health and Development Studies pregnancy cohort, Alameda County, California, 1959 to 1967, and their adult daughters | Widespread DDT use in the 1960s | This prospective human study linked measured DDT exposure in utero to the risk of breast cancer |
| Dalvie et al | 2010 | Women residents on farms in Western Cape (South Africa) | Pesticide exposure experienced at work and from the environment | More women with low cholinesterase compared with normal levels (indicating that they were highly exposed to pesticides) had elevated levels of fractional exhaled nitric oxide, indicating the presence of lung inflammation associated with asthma |
| Farr et al | 2004 | Women living on farms in Iowa and North Carolina | Exposures of interest were lifetime use of any pesticide | Women who used probable hormonally active pesticides had a 60%-100% increased possibility of experiencing long cycles, missed periods, and intermenstrual bleeding compared with women who had never used pesticides. Associations remained after occupational physical activity was controlled for |
| Handal and Harlow | 2009 | Ecuadorian mothers with at least one child who had lived in the community at least 1 year | Occupational pesticide exposure | The findings suggest a potential adverse association between employment in the cut-flower industry and spontaneous abortion |
| Harari et al | 2010 | In northern Ecuador, an intensive cross-sectional study assessed children’s neurobehavioral functions at 6–8 years of age | Pesticide exposure during the index pregnancy | The findings support the notion that prenatal exposure to pesticides—at levels not producing adverse health outcomes in the mother—can cause lasting adverse effects on brain development in children |
| Jørgensen et al | 2014 | The risk of cryptorchidism among sons of horticultural workers and farmers in Denmark was assessed | Pesticide exposure during pregnancy | A slightly increased risk of cryptorchidism in sons of maternal horticultural workers and farmers was found |
| McLean et al | 2009 | Population-based case-control study of adult-onset leukemia and occupation in New Zealand | Occupational exposures, including agriculture | Confirmed previously observed associations between ever having been an agricultural worker and elevated risk of leukemia. The risk appeared to be higher in women than in men |
Abbreviation: DDT, dichlorodiphenyltrichloroethane.