Self-reported acute pesticide intoxications in Ethiopia

• Published in: BMC public health 2016-07, Vol.16 (1), p.575-575, Article 575
• Main Authors: Nigatu, Amare W, Bråtveit, Magne, Moen, Bente E
• Format: Article
• Language: English
• Subjects: Acute Disease; Acute pesticide intoxications; Adult; Agriculture; Continuity (mathematics); Crops; Cross-Sectional Studies; Developing countries; Environmental Exposure - adverse effects; Ethiopia - epidemiology; Exposure; Farmers; Farms; Farms - statistics & numerical data; Farmworkers; Female; Flower farm workers; Greenhouses; Health aspects; Households; Humans; Intoxication; LDCs; Male; Occupational Exposure - adverse effects; Occupational health; Pesticides; Pesticides - toxicity; Poisoning; Population; Prevalence; Proximity; Public health; Regression models; Self Report; Self-reported symptoms; Studies; Subgroups; Surveys; Towns
• ISSN: 1471-2458; 1471-2458
• DOI: 10.1186/s12889-016-3196-5

Pesticide exposure is an important public health concern in Ethiopia, but there is limited information on pesticide intoxications. Residents may have an increased risk of pesticide exposure through proximity of their homes to farms using pesticides. Also the pesticide exposure might be related to employment at these farms. This study investigated the prevalence of acute pesticide intoxications (API) by residence proximity to a nearby flower farm and assessed if intoxications were related to working in these farms or not. A cross-sectional survey involving 516 persons was conducted. Participants were grouped according to their residence proximity from a large flower farm; living within 5 kilometers and 5-12 kilometers away, respectively. In a structured interview, participants were asked if they had health symptoms within 48 h of pesticide exposure in the past year. Those who had experienced this, and reported two or more typical pesticide intoxication symptoms, were considered as having had API. Chi-square and independent t-tests were used to compare categorical and continuous variables, respectively. Confounding variables were adjusted by using binomial regression model. The prevalence of API in the past year among the residents in the study area was 26 %, and it was higher in the population living close to the flower farm (42 %) compared to those living far away (11 %), prevalence ratio (PR) = 3.2, 95 % CI: 2.2-4.8, adjusted for age, gender & education. A subgroup living close to the farm & working there had significantly more API (56 %) than those living close & didn't work there (16 %), adjusted PR = 3.0, 95 % CI: 1.8-4.9. Flower farm workers reported more API (56 %) than those not working in the flower farm (13 %,), adjusted PR = 4.0, 95 % CI: 2.9-5.6. Our study indicates a 26 % prevalence of self-reported symptoms attributable to API. The residents living closer than 5 kilometers to the flower farm reported significantly higher prevalence of self-reported API than those living 5-12 kilometers away. This increased risk of API was associated with work at the flower farm.