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. 2022 Jan 17;16:11786302211072950. doi: 10.1177/11786302211072950

Prevalence of Pesticide Use and Occupational Exposure Among Small-Scale Farmers in Western Ethiopia

Tariku Neme Afata 1,2,, Seblework Mekonen 1, Miftahe Shekelifa 1, Gudina Terefe Tucho 1
PMCID: PMC8793388  PMID: 35095275

Abstract

Objective:

This study aims to assess the prevalence of pesticide use and its occupational exposure among small-scale farmers in the Kellem Wellega Zone of western Ethiopia.

Methods:

A cross-sectional study design using a structured questionnaire was used to collect data from 249 small-scale farmers’ households through face-to-face interviews. Statistical analysis such as descriptive statistics, Chi-square test, and binary logistic regression analysis was applied, and a P-value <.05 at 95% CI was considered statistically significant.

Results:

The prevalence of pesticide use was 87.15%. About 44.2%, 40.2%, and 43.8% of the study participants were classified as having poor knowledge, poor practice, and negative attitude toward pesticide use, respectively. Thus, small-scale farmers whose age was greater than 40 years were 7.87 times more likely to be exposed to skin irritation than those whose age was less than 20 years (AOR = 7.87; 95% CI: 1.75-35.45) and skin contact (AOR = 0.37; 95% CI: 0.15-0.91). Most farmers who were directly involved in agriculture were 2.22 times more likely to be exposed to the inhalation of pesticide chemicals than those involved in another activity (AOR = 2.22; 95% CI: 1.14-4.33). Based on educational level, small-scale farmers who have a primary school and above were 81% less likely to inhale pesticide chemicals than those who did not have formal education (AOR = 0.19; 95% CI: 0.09-0.41). Furthermore, low-income small-scale farmers were 2.62 times more likely to be exposed to coughing (AOR = 2.62; 95% CI: 1.25-5.51) than high-income participants. Furthermore, farmers with good knowledge were 1.79 times more likely to be exposed to skin irritation than those with poor knowledge (AOR = 1.79; 95% CI: 1.0-3.17). Farmers with poor practice were 1.85 times more likely to show coughing symptoms than those with good practice (AOR = 1.85; 95% CI: 1.08-3.2), and farmers with good practice were 48% less likely to be exposed to headache than those with poor practice (AOR = 0.52; 95% CI: 0.31-0.88).

Conclusions:

This study shows that small-scale farmers were exposed to pesticides through coughing, headache, skin irritation, inhalation, and skin contact. Low level of knowledge, poor practice, job, low income, older age, and educational level.

Keywords: Ethiopia farmer, pesticide exposure, prevalence of pesticide use

Introduction

Pesticides are any substance used to control certain forms of pests from plant or animal life. 1 On the other hand, the unprotected use of these chemicals can pose serious risks to human health and the environment. 2 The negative effect of exposure to pesticide chemicals during agricultural activities are high in farmers.3,4 According to World Health Organization (WHO) reports, more than 200 000 people are killed from pesticide poisoning each year in rural areas of developing countries. 2 Most health problems are caused by long-term exposure to pesticides. Acute symptoms such as headaches, nausea, respiratory problems, vomiting, dermatitis, leukemia, mental disorders, brain tumors, and burns are widely experienced among farmers in African countries.5-9 Cognitive, motor, sensory, and neurological deficiencies were among the symptoms of chronic exposure of pesticide users. 10

Evidence suggested that farmers’ exposure could occur accidentally in the course of mixing, loading, spraying, in direct contact with treated vegetation by spraying, during cleaning up of spraying equipment, and vapor drift from volatilized deposits of pesticides because of not using PPE.11,12 Furthermore, the consumption of contaminated food, the proximity to agricultural fields, and the occupation of agriculture were some of the possible mechanisms of exposure to pesticides by small farmers.13-16 However, the risk of exposure was based on the type, period, and route of exposure. 17 Occupational exposure to pesticides occurs commonly through inhalation, skin contact, and ingestion during the preparation of solutions and spraying conditions. 19 Thus, farmworkers are considered a primary risk group that receives a lot of exposure to pesticides. 18 Thus, farmworkers are considered a primary risk group that receives a lot of exposure to pesticides.19-21 The adverse effects of pesticides on health are increasing in developing countries due to low educational levels and unfavorable working conditions.22,23

Moreover, lack of knowledge, training, and unintentional application errors such as handling pesticides carelessly can pose serious health risks to farmers.19,24-26 Since farmers’ knowledge, practice, and attitude level of farmers on potential pesticide hazards is essential in preventing pesticide exposure.23,27 Finally, the health risks of farmworkers commonly concerned with agricultural activities were associated with occupational exposure to pesticides. To our knowledge, there are gaps in available data on the prevalence of pesticide use, knowledge and practice about pesticides, occupational exposure, and associated risks in small-scale farmers. Therefore, this study investigates the prevalence of pesticide use and its occupational exposure among small-scale farmers (SSFs) in the Kellem Wellega zone, western Ethiopia.

Materials and Methods

Study site

The study was carried out from May to June 2020 in the Kellem Wellega zone of the Oromia region, western Ethiopia. It was 672 km from Addis Ababa, the capital of Ethiopia. In 10 districts in this region, there was a total population of 965 000. Of the total population, 51.3% were men. The total number of households in the zone was 175 000, with an average family size of 5.5. 28 The study area is located at an elevation of 1701 to 1830 m above sea level. The climatic condition alternates with prolonged summer rainfall, short rainy season, and winter dry season. The minimum and maximum annual precipitation range from 800 to 1200 mm, with a daily temperature, ranges from 15°C to 25°C. 29 This zone is well known for extensive agricultural crop production, such as coffee, maize, teff, wheat, barley, bean seed, and sorghum. Small-scale farmers carry out most of the farming activities. To increase agricultural productivity, these small-scale farmers widely use different types of pesticides to protect pests. The map of the study area was indicated in Figure 1.

Figure 1.

Figure 1.

Study area map for Sayo, Hawa Gelan, and Dale Wabara districts in the Kellem Wellega Zone of western Ethiopia in 2020.

Study design

A cross-sectional study was conducted that included 249 households of SSFs from May to June 2020, in western Ethiopia. Following the verbal agreement, the heads of families were interviewed face-to-face using a standardized pretested questionnaire. When the head of the household was not available, the interviewer was asked if the first adult over 18 years of age met in the household.

Sample size determination

The sample size was determined using a single population proportion formula for one point estimation by considering a confidence level of 95%, a margin of error of 5%, and 82% of small-scale farmers practice on pesticides 30 with a non-response rate of 10%.

n=(Zα/2)2(p)(q)(SE)2=(1.96)2(0.82)(10.82)(0.05)2
n==227,

By adding a 10% non-response rate to the calculated sample size, it becomes 227 + (227 × 10%) = 250, participants were designed to participate at the household level.

Operational definitions

Small-scale farmers (SFFs): Farmers who can produce crops on a small piece of land without using advanced and expensive technologies

Pesticides exposure: an exposure that may occur through occupational exposure in the case of agricultural workers in open fields and house pests

Pesticide Use: are substances or mixtures of substances that are mainly used in agriculture or in public health protection programs to protect plants from pests, weeds, and diseases

Self-reported symptoms: is single, short-term exposure effects appear immediately and are often reversible. The self-reported symptoms related to coughing, headache, vomiting, skin irritation, and abdominal pain

Exposed small-scale farmers (ESSFs): Farmers who can produce crops using pesticide chemicals on their own for at least 1 year and more in the same area

Non-Exposed Small-Scale Farmers (NESSFs): Farmers practicing organic farming and having no history of chemical exposure to pesticide chemicals for at least 1 year before the study and who did not reside near a vegetable farm were also considered 21

Kebele(s): (Amharic term standing for “neighbor hood”) is a small administrative unit in urban and rural Ethiopia comprising around 500 households per unit.

Sampling techniques

Data were collected from 3 districts: Sayo, Hawa Galan, and Dale Wabara in the Kellem Wellega zone in western Ethiopia. A 3-stage sampling was used to select small-scale farmers for this study. First, 3 districts were purposively selected from the 10 districts in the Kellem Wellega zone based on their potential for agricultural products and the number of pesticides used per year. Second, 3 kebeles, namely Abichu Shogo from the Sayo district, Hawa Moy from the Hawa Galan district, and Chanka Bururi from Dale Wabara, were purposively selected in communication with zonal agricultural experts. According to the information from experts, most small-scale farmers in the study areas used pesticides. Third, each household was randomly selected from each kebeles. Therefore, a total of 249 households study participants were selected using the lottery method, and a systematic sampling method (k = N/n = 700/249 = 2.8 = 3) was used to select the rest of the households.

Data collection

Face-to-face interviews were used to collect data using a standardized and pretested questionnaire.21,27 The questionnaire was written in English and then translated into Afan Oromo and then back into English to ensure that the translation was correct. The questions were pretested to ensure that the data collection instrument was complete. Sociodemographic factors, knowledge, practice, attitude, types of pesticides used, acute health symptoms (coughing, headache, vomiting, skin irritation, and abdominal pain) within 48 hours of exposure to pesticides and pesticide exposure routes such as ingestion, inhalation, and skin contact are included in the questionnaire. Those who had experienced this and reported 2 or more typical pesticide intoxication symptoms were considered.

Before being assigned to data collection, 3 agricultural extension workers and supervisors were trained for 2 days. Based on their reports, those participants who scored below the mean value of the responses for 10 items related to farmer knowledge about pesticide use were considered to have “poor knowledge,” while those with scores above or equal to the mean value were considered to have “good knowledge.” Participants who scored less than the mean value of responses to 10 questions related to farmer practices in pesticide use were labeled as having “poor practice,” while those who scored above or equal to the mean value were labeled as having “good practice.” The level of farmer attitude toward pesticide use was evaluated for participants who scored less than the mean value of the response for 10 questions related to attitude toward pesticide use were considered as having a “negative attitude” and those who scored more than the mean value were considered to have a “positive attitude.”

Data analysis

Data were checked and entered into SPSS version 23.0 (IBM Corp., Armonk, NY, USA). Descriptive analysis, such as mean and standard deviation for continuous data, percentage, and frequency for categorical data. Chi-square tests and logistic regression analysis were performed to determine the impact of the predicting variables (sociodemographic characteristics, knowledge, practice, attitude) on the outcome variables (coughing, headache, vomiting, skin irritation and abdominal pain, ingestion, inhalation, and skin contact). Logistic regression analysis was used to adjust the confounders. All explanatory variables associated with the outcome variable in the bivariate analysis with a P-value of less than .25 were selected and further analyzed. The odds ratio and the 95% confidence interval were used to determine the effect of potentially associated variables on the outcome variable by controlling confounders. All variables with a P-value of <.05 were considered statistically significant associations with the exposure of small-scale farmers to pesticides.

Results

Sociodemographic characteristics

Of the 249 SSFs, the majority (88.4%) were male. The mean ages of the respondents were (40 ± 0.45) years with 85.1% of them being married and 76.3% being involved in farming activities. Additionally, approximately 39.8% of the farmers were unable to write and read (Table 1).

Table 1.

Sociodemographic status of SSFs in the Kellem Wellega Zone of western Ethiopia, 2020.

Explanatory variables Number %
Sex
 Male 220 88.4
 Female 29 11.6
Age
 ⩽20 years 36 14.5
 21-40 128 51.4
 ⩾41 85 34.1
Head of the family
 Yes 176 70.7
 No 73 29.3
Jobs
 Farming only 190 76.3
 Other activities* 59 23.7
Marital status
 Single 28 11.3
 Married 212 85.1
 Divorced or widowed 9 3.6
Educational level
 Unable to write and read 99 39.8
 Primary school 111 44.6
 Secondary school and above 39 15.6
Total 249 100
*

Other activities (daily laborers, private business, non-government and civil servants) .

Prevalence of pesticide use among small-scale farmers

The prevalence of pesticide use among farmers in Dale Wabara, Hawa Gelan, and Sayyo districts of the Kellem Wellega zone in western Ethiopia was 90%, 83.3%, and 87.7%, respectively. The overall prevalence of current pesticide use was 217 (87.2%) and 32 (12.8%) of the study participants did not use chemical pesticides to increase agricultural productivity (Table 2).

Table 2.

Previous and current use of pesticides used by SSFs in the Kellem Wellega Zone in western Ethiopia, 2020.

Name of districts Number %
Dale Wabara 90 81 (90)
Seyo 81 71 (87.7)
Hawa Galan 78 65 (83.3)
Overall prevalence 249 217 (87.2)

Among the common pesticide chemicals used in the study area were 2, 4-D (69.1%), glyphosate (41.4%), diazinon (26.5%), malathion (55.4%), DDT (8.4%), mancozeb (25.7%), and diazinon (26.5%) (Table 3).

Table 3.

Prevalence of pesticides used by SSFs in the Kellem Wellega Zone in western Ethiopia, 2020.

Type of pesticides Name of districts Total N (%)
Dale Wabara (N = 90) Hawa Gelan (N = 78) Sayyo (N = 81)
2, 4-D* 69 (76.7) 45 (57.7) 58 (71.6) 172 (69.1)
DDT** 4 (4.4) 11 (14.1) 6 (7.4) 21 (8.4)
Glyphosate 34 (37.8) 27 (34.6) 42 (51.9) 103 (41.4)
Diazinon 29 (32.2) 12 (15.4) 25 (30.9) 66 (26.5)
Malathion 59 (65.6) 37 (47.4) 42 (51.9) 138 (55.4)
Mancozeb 27 (30) 13 (16.7) 24 (29.6) 64 (25.7)
*

2, 4-dichlorophenoxyacetic acid. ** Dichlorodiphenyltrichloroethane.

Factors related to occupational exposure of SSFs

Knowledge of farmers on the safe use of pesticides

Although 87.2% of small-scale farmers used pesticides for their agriculture, only 42.2% know the safe use of pesticides. Most of them were used for weed control (52.6%). Approximately 76.3% of participants believed that pesticides are useful; however, they did not know the harmful effect of pesticides on humans and the environment in general. Most farmers did not have training (83.9%) on handling and using pesticides. Approximately 85% of them were used above the recommended concentrations and purchased from private companies, illegally at low cost. Most of the participants (93.6%) did not know the appropriate distance for mixing and loading pesticides from residential areas and water streams. Additionally, 67% of farmers carelessly disposed of leftover pesticides in open fields, and 40.6% stored in unsafe places, potentially exposing them. The mean score of knowledge on pesticide use was found to be 49.03 ± 0.5, which is summarized in Table 4. Consequently, 40.16% of small-scale farmers who scored below the mean had poor knowledge about the safe use of pesticides.

Table 4.

Knowledge of SSFs about the use of pesticides in the Kellem Wellega zone of western Ethiopia, 2020.

Explanatory variables Number %
Have you ever used pesticides?
 Yes 217 87.2
 No 32 12.9
Know how to use pesticides safely?
 Yes 105 42.2
 No 144 57.8
Pesticide retailers
 Government 15 6.0
 Private 138 55.4
 Both government and private 72 28.9
 I don’t use 24 9.6
Purpose of using pesticides
 Fungi control 67 26.9
 Weed control 131 52.6
 Pest control 10 4.0
 Mixed-use 9 3.6
 I don’t use 32 12.9
How can you consider pesticide chemicals?
 Useful 190 76.3
 Harmful 40 16.1
 Both useful and harmful 19 7.6
Have you ever had any training on how to use and handle pesticides?
 Yes 40 16.1
 No 209 83.9
Identifying the quantity of pesticides used?
 Yes 37 14.9
 No 212 85.1
Knowing the distance of mixing from home, river?
 Yes 16 6.43
 No 233 93.6
Pesticides storage
 Stored everywhere 101 40.6
 Stored in the kitchen 57 22.9
 In mixed place 48 19.3
 In separate place 13 5.2
 I don’t use 30 12.1
What are the trends in the amount and frequency of pesticides used in the last few years?
 Increase 185 74.3
 Decrease 64 25.7
Level of knowledge
 Poor (<49.03%) 100 40.2
 Good (⩾49.03%) 149 59.8
Total 249 100

Practice pesticides use

Among farmers who have been using pesticides for more than 10 years (49%), still, 96.8% of them do not understand the instruction and labeling provided by the users in the pesticide containers (96.8%). Small-scale farmers involved in spraying activities were more likely to be exposed to pesticides by eating and drinking (26.1%), chewing chat (16.1%), smoking (26.9%), performing different exposing activities (18.1%), and using damaged equipment during spraying (15.7%). Around 40.6% of farmers used more than 4 L of pesticide chemicals for small land size. As Table 5 shows, the mean score of the farmers’ practices for safe use of pesticides was found to be 50.64 ± 0.5. Almost half of them scored below mean values and had a poor practice that makes them more vulnerable to pesticide chemicals.

Table 5.

Practice of SSFs toward pesticides use the Kellem Wellega Zone of western Ethiopia, 2020.

Explanatory variables Number %
Working experience with pesticides
 <3 years 61 24.5
 3-10 years 34 13.7
 >10 years 122 49
 I don’t use 32 12.9
Understanding the labeled instruction
 Yes 8 3.21
 No 241 96.8
Who sprays pesticides
 Employ 78 31.3
 Father 99 39.8
 Mother 40 16.1
 I don’t use 32 12.9
Activities performed during spraying
 Eat and drink 65 26.1
 Chewing chat 40 16.1
 Smoking 67 26.9
 Mixed activities 45 18.1
 I don’t use 32 12.9
Types of spraying equipment
 Backpack 216 86.8
 Handhold 33 13.3
Condition of the equipment
 Damaged 39 15.7
 Not damaged 178 71.5
 I do not use 32 12.9
Weather condition during pesticide spraying
 Humid and cold 25 10.0
 Dry and hot 192 77.1
 I don’t use 32 12.9
Crop area
 0-2 hectare 203 81.5
 2.1-4 hectare 37 14.9
 >4 hectare 9 3.6
Amount of pesticide
 0-2 L 8 3.2
 2.1-4 L 108 43.4
 >4 L 101 40.6
 I don’t use 32 12.9
Frequency of application
 Once times a year 83 33.3
 Two times a year 88 35.3
 Three times a year or more 46 18.5
 I don’t use 32 12.9
Overall pesticide use practice
 Poor (<50.64%) 124 49.8
 Good (⩾50.64%) 125 50.2
Total 249 100

Attitude of farmers toward the use of pesticides

Approximately 84.3% of small-scale farmers did not use PPE during spraying. Some farmers mixed and washed their containers in the house (26.1%), and rivers (24.1%). About 47.39% of small-scale farmers never follow the instruction on the label of the pesticide containers. Regarding sprayer hygiene, (57.4%) wash only hands, (22.9%) bathe, and (6.8%) change clothes before or after spraying. During mixing and spraying (71.1%) mentioned that pesticides spill onto their body (42.6%), spraying against the wind, and (50.2%) of the farmers were re-entered in a recently sprayed farmland. Some farmers did not know the final fate of pesticides (38.2%) and (59%) used pesticide equipment for other purposes. Regarding the container of pesticides that uses them as home utensils (53.4%), thrown into fields (7.6%), sold to others (8.8%), disposed of in streams (12.4%), mixed-use (4.4%), buried, and burned (1.6%) and returned to a disposing agent (2%). In general, Table 6 shows that the mean score of farmers’ attitudes toward pesticide use was 47.89 ± 0.49. About 47.8% of the participants who scored below the mean had a negative attitude toward pesticides.

Table 6.

Attitude of SSFs toward pesticide use in the Kellem Wellega Zone of western Ethiopia, 2020.

Explanatory variables Number %
Can you understand the information written on the pesticide packages?
 Yes 131 52.6
 No 118 47.4
Should you wear protective equipment during spraying?
 Yes 39 15.7
 No 210 84.3
Appropriate locations for mixing pesticide or washing container
 House 65 26.1
 River 60 24.1
 Farmland 53 21.3
 Mixed 39 15.7
 I don’t use 32 12.9
Have you ever spilled pesticides on your body?
 Yes 177 71.1
 No 72 28.9
How can you prevent the splash of pesticides during spraying? Practices after spraying
 Washing only hands 143 57.4
 Bathing 57 22.9
 Changing clothes 17 6.8
 I don’t use 32 12.9
Spraying against the wind
 Yes 106 42.6
 No 143 57.4
Entering recently sprayed farmland
 Yes 67 26.9
 No 182 73.1
Did farmers use empty pesticide equipment for other purposes?
 Yes 147 59.0
 No 102 41
Do you think pesticides empty materials can harm your health?
 Yes 154 61.9
 No 95 38.2
What solutions do you suggest for the empty pesticide container disposal methods?
 Home use reuse at home 133 53.4
 Thrown into fields 19 7.6
 Sold to others 22 8.8
 Thrown into streams 31 12.5
 Mixed-use 11 4.4
 Buried or burned 4 1.6
 Return to disposing agent 5 2.0
 I don’t use 24 9.6
Level of attitude
 Poor (<47.89%) 119 47.8
 Good (⩾47.89%) 130 52.2
Total 249 100

Acute health symptoms of SSFs

The results of this study showed that nearly all agricultural farmers have symptoms of acute health after using pesticides. The most often symptoms linked to pesticides use includes coughing (61%), headache (62.7%), vomiting (41.8%), skin irritation (29.3%), and abdominal pain (28.1%) (Table 7).

Table 7.

Acute health symptoms of SSFs during pesticide application of SSFs in the Kellem Wellega Zone in western Ethiopia, 2020.

Outcome variables Yes % No %
Coughing 152 61 97 39
Headache 156 62.7 93 37.3
Vomiting 104 41.8 145 58.2
Skin irritation 73 29.3 176 70.7
Abdominal pain 70 28.1 179 71.9

Determinant of health symptoms

The formulation of pesticides was an essential factor in human exposure to pesticide chemicals. The liquid mist was the predominant type of farmers’ exposure that takes place during the production, transportation, preparation, and application of pesticides in the workplace. In the study area, agricultural occupations pesticide exposure occurs via through the main route of inhalation (51.4%), ingestion (59.8%), and skin contact (58.6%).

Table 8 shows the bivariate analysis of exposure to pesticides with sociodemographic characteristics, knowledge, practice, attitude, route of exposure, and self-reported symptoms of exposure to pesticides. In the analysis: age, job, educational level, knowledge, and practice were significantly associated with a P-value <.05 with the outcome variables of coughing, headache, skin irritation, inhalation, and skin contact. The remaining variables were not significantly associated with the outcome variables. The results of the logistic regression analysis of the exposure of farmers to pesticide use and associated factors are summarized in Table 6. In study jobs, educational level, knowledge, practice, coughing, headache, skin irritation, inhalation, and skin contact are significantly associated with the exposure of farmers to pesticide chemicals.

Table 8.

Results of the logistic regression analysis of self-reported symptoms of SSFs and associated factors in the Kellem Wellega zone of western Ethiopia, 2020.

Explanatory variables Coughing Headache Skin irritation
Yes
152 (61%)
No
97 (39%)
Yes
156 (62.7%)
No
93 (37.3%)
Yes
73 (29.3%)
No
176 (70.7%)
COR AOR COR AOR COR AOR
Age
 ⩽20 years 0.45 (0.19-1.08) 0.46 (0.19-1.12) 1 1
 21-40 0.93 (0.53-1.62) 1.0 (0.56-1.79) 9.27 (2.08-41.30)* 7.87 (1.75-35.45)*
 ⩾41 years 1 1 1.16 (0.65-2.07) 1.23 (0.68-2.21)
Jobs
 Farming 1 1 1 1
 Other activities 0.68 (0.37-1.27) 1.41 (0.73-2.71) 2.13 (1.12-4.05)* 0.89 (0.44-1.78)
Education
 Non-formal 1 1
 Primary school 1.59 (0.74-3.43) 2.25 (0.94-5.42)
 Secondary school and above 1.15 (0.54-2.48) 1.89 (0.79-4.54)
Income
 <1000 birr 0.49 (0.1-2.48) 0.52 (0.1-2.66)
 1000-2000 2.84 (1.37-5.92)* 2.62 (1.25-5.51)*
 2000-3000 1.35 (0.66-2.73) 1.38 (0.64-2.81)
 >3000 1 1
Level of knowledge
 Poor 1 1 2.15 (1.24-3.75)* 1.79 (1.0-3.17)*
 Good 0.66 (0.39-1.1) 1 1
Level of practice
 Poor 0.48 (0.28-0.81)* 1.85 (1.08-3.2)* 1.91 (1.14-3.22)* 0.52 (0.31-0.88)*
 Good 1 1 1 1

Abbreviations: AOR, adjusted odd ratio; COR, crude odd ratio; CI, confidence interval; SSFs, small-scale farmers.

Other activities (daily laborers, private business, non-government and civil servants).

*

Represent the level of significance at P-values <.05.

Thus, SSFs whose age was greater than 40 years were 7.87 times more likely to be exposed to skin irritation than those whose age was less than 20 years (AOR = 7.87; 95% CI: 1.75-35.45) and skin contact (AOR = 0.37; 95% CI: 0.15-0.91). Most farmers who were directly involved in agriculture were 2.22 times more likely to be exposed to the inhalation of pesticide chemicals than those involved in another activity (AOR = 2.22; 95% CI: 1.14-4.33). Based on educational level, small-scale farmers who have a primary school and above were 81% less likely to be inhaled than those who did not have formal education (AOR = 0.19; 95% CI: 0.09-0.41). Furthermore, low-income SSFs were 2.62 times more likely to be exposed to coughing (AOR = 2.62; 95% CI: 1.25-5.51) than high-income participants. Additionally, farmers with good knowledge were 1.79 times more likely to be exposed to skin irritation than those with poor knowledge (AOR = 1.79; 95% CI: 1.0-3.17). Farmers with poor practice were 1.85 times more likely to show symptoms of coughing than those with good practice (AOR = 1.85; 95% CI: 1.08-3.2), and farmers with the good practice were 48% less likely to be exposed to headache than those with poor practice (AOR = 0.52; 95% CI: 0.31-0.88).

Discussion

This study assessed the prevalence of pesticide use and occupational exposure of small-scale farmers in the Kellem Wellega zone of western Ethiopia. Therefore, 87.2% of small-scale farmers have used at least one or more pesticide chemicals for agricultural purposes (Table 2). This is higher than the study report from southern Ethiopia (83.3%) and southwest (82%) of Ethiopian farmers.27,30 This showed that there is an increasing trend in the use of chemical pesticides among small-scale farmers. 31

Thus, SSFs whose age was greater than 40 years were 7.87 times more likely to be exposed to skin irritation than those whose age was less than 20 years (AOR = 7.87; 95% CI: 1.75-35.45) and skin contact (AOR = 0.37; 95% CI: 0.15-0.91) (Table 8). This reveals that younger groups would be convenient for the recommended PPE on pesticides use as compared to older SSFs who could use more pesticides to maximize their products 18 and due to bioaccumulation of pesticides from past exposure and decreasing rates of excretion with increasing age for small-scale farmers.21,32

Additionally, the educational level of small-scale farmers who have a primary school and above was 81% less likely to be inhaled than those who did not have formal education (AOR = 0.19; 95% CI: 0.09-0.41). In this study, about 47.4% and 96.8% of the participants never followed and understood the labeled instruction, respectively. This is due to their low educational level and their instructions, often written in foreign languages (Table 5). A study conducted in Pakistan revealed that 48.2% of farmers did not follow the labeled instructions 26 and in Kuwait, over 70% of farmers did not read or follow the instructions on the pesticide label. 19 Furthermore, low-income SSFs were 2.62 times more likely to be exposed to coughing (AOR = 2.62; 95% CI: 1.25-5.51) than high-income participants. These suggest that farmers in the study area were exposed to pesticide chemicals due to not using complete PPE since they cannot afford the price and are not easily available on market.33-35

On the other hand, farmers with good knowledge were 1.79 times more likely to be exposed to skin irritation (AOR = 1.79; 95% CI: 1.0-3.17) than those with poor knowledge and skin contact (AOR = 0.37; 95% CI: 0.15-0.91). This was lower than the study reported from Egyptian 36 and southern Ethiopian farmers. 37 This is due to the low awareness of the harmful effects of pesticides on humans and the environment.35,37Additinally, the level of knowledge of farmers on the safe use of pesticides is very inadequate. 38 Moreover, some farmers who had a sufficient level of knowledge of the safe use of pesticides did not implement their knowledge into practice.23,39 Furthermore, exposure can occur through skin contact with contaminated hands after pesticide-related work.18,23

Similarly, farmers with the poor practice were 1.85 times more likely to be exposed to coughing than those with good practice (AOR = 1.85; 95% CI: 1.08-3.2), and farmers with the good practice were 48% less likely to be exposed to headaches than those with poor practice (AOR = 0.52; 95% CI: 0.31-0.88). A similar report from the Philippines revealed that the most common self-reported symptoms were headache (64.1%), cough (45.5%), weakness (42.4%), eye pain (39.9%), and chest pain (37.4%). 40 Furthermore, 90% of the respondents to the Rwandan study show adverse health effects on farmers, such as intense headache, dizziness, stomach cramps, skin pain, itching, and respiratory distress after using pesticides. 41 This could be due to practicing everyday activities without worrying during spraying, such as eating, drinking, smoking, chewing, and even using damaged backpack sprayer equipment to increase exposure.27,37 In addition spraying within the hot and dry conditions usually results in rapid evaporation of pesticide chemicals 41 that can distract the proper spraying man and take the chemical off-target. 40 Moreover, mixing the pesticides with bare hands, not wearing PPE, and carelessly disposing of leftover pesticides 42 causes high exposure of SSFs to pesticide chemicals. 21

Some limitations are worthy of note, however, sample size and self-reported symptoms when spraying pesticides might introduce recall bias and may have difficulty recalling them a whole year or even a month previously. Furthermore, there may be inaccuracies in reporting on pesticide chemical use history, frequency, training, and experience from both exposed and non-exposed SSFs that affect the result of past exposures.

Conclusions

The prevalence of pesticide use among small-scale farmers in western Ethiopia was 87.2%. In this study, small-scale farmers were exposed to coughing, headache, skin irritation, inhalation, and skin contact with pesticide chemicals due to low level of knowledge, practice and education, age, work, and low income. Finally, it is recommended that the Ministry of Agriculture and Rural Development, the Ministry of Health, and the Environmental Protection Authority work on integrated and continuous awareness creation programs that increase knowledge and practice on pesticide safety for small-scale farmers in Ethiopia.

Acknowledgments

The authors would like to thank all volunteers for providing valuable information, Jimma University, and Oromia Education Bureau for valuable support.

Footnotes

Funding: The author (s) received no financial support for the research, authorship, and/or publication of this article.

Declaration of Conflicting Interests: The author (s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Author Contributions: Tariku Neme Afeta: Methodology, formal analysis, visualization, original draft writing. Dr. Gudina Terefe Tucho: Methodology, formal analysis, visualization, writing review, editing. Dr. Seblework Mekonen: Methodology, formal analysis, visualization, writing review editing, and Miftahe Shekelifa: Review and editing.

Availability of Data and Materials: The data sets analyzed during the current study were available from the corresponding author on reasonable request.

Ethical Approval and Consent to Participate: Ethical approval to conduct this research was obtained from the Jimma University Institute of Review Board (IRB) of the University of South-West Ethiopia, on 18/10/2019 (No. IHRPGD/407/2019). Written informed consent was obtained from the study participants. All subjects voluntarily participated in the study.

ORCID iDs: Tariku Neme Afata Inline graphic https://orcid.org/0000-0002-0844-9449

Gudina Terefe Tucho Inline graphic https://orcid.org/0000-0001-7848-5456

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