A study of risk factors for the possible cases of acute occupational pesticide poisoning of orchard farmers in some parts of south Chungcheong province

Article information

Ann Occup Environ Med. 2019;31.e35

Publication date (electronic) : 2019 December 10

doi : https://doi.org/10.35371/aoem.2019.31.e35

Jihyun Shin

, Sangchul Roh

Department of Occupational and Environmental Medicine, Dankook University Hospital, Cheonan, Korea.

Correspondence: Sangchul Roh. Department of Occupational and Environmental Medicine, Dankook University Hospital, 119 Dandae-ro, Dongnam-gu, Cheonan 31116, Korea. scroh@dku.edu

PPE: personal protective equipment; OR: odds ratio; CI: confidence interval; SD: standard deviation.

Received 2019 May 15; Accepted 2019 November 25.

Abstract

Background

The objective of the present study is to identify differences in the prevalence of acute occupational pesticide poisoning across Korean orchard farmers' farming characteristics and the risk factors that have an effect on acute occupational pesticide poisoning.

Methods

For 3 years (2014, 2015, and 2017), a questionnaire survey was conducted on 394 orchard farmers in some parts of south Chungcheong Province in relation to pesticide poisoning. 323 orchard farmers who responded to acute occupational pesticide poisoning were included for final analysis. With acute occupational pesticide poisoning as the dependent variable, a χ² test and a multiple logistic regression analysis were conducted.

Results

The results of the prevalence of acute occupational pesticide poisoning across farming characteristics showed that the group wearing 4 or more pesticide personal protective equipment (PPE) had a lower prevalence of acute occupational pesticide poisoning than the group wearing 3 or less pesticide PPE (p < 0.05). Furthermore, an analysis by area of fruit farming revealed that the group with more than 12,000m² in the area of fruit farming had a higher prevalence of acute occupational pesticide poisoning (p < 0.05). Orchard farmers mainly use a speed sprayer to spray pesticides, and the speed sprayer can be categorized by presence of cabin. The analysis of the prevalence of acute occupational pesticide poisoning by speed sprayer's cabin existence found that existence of speed sprayer's cabin did not show a statistically significant difference in the prevalence of acute occupational pesticide poisoning.

Conclusions

The present study analyzed the prevalence of acute occupational pesticide poisoning depending on the speed sprayer's cabin existence and found no significant difference. The fact that famers using the cabinless style speed sprayer shows a higher percentage in wearing PPE than those using the cabin style speed sprayer is suggested to elucidate the result. As the first study in Korea which examined the prevalence of acute occupational pesticide poisoning by speed sprayer's cabin existence, the present study proposes the expected effect that increase of wearing pesticide PPE along with employ of speed sprayer's cabin can reduce the prevalence of acute occupational pesticide poisoning among orchard farmers.

Keywords: Acute occupational pesticide poisoning; Orchard; Speed sprayer; Personal protective equipment

INTRODUCTION

Pesticides are substances that protect crops from weeds, diseases, and pests and help crops to grow [1], increase quantitative productivity in agriculture, and reduce the time and manpower put into farming. In today's agriculture that requires a high level of productivity, pesticides have established themselves as an indispensable choice. There are study findings, however, that pesticides used to remove weeds, diseases, and pests could be harmful to not only animals but also humans [2 3 4 5 6 7]. In particular, studies reported that when humans are exposed to pesticides, the pesticides can cause cancer [8 9 10 11 12 13], contact dermatitis [14 15 16], autoimmune disease [17], neurotoxicity [18 19 20 21], ocular disease [22], and diabetes mellitus [23 24]. In this regard, since farmers have risk of frequent exposure to a high level of pesticides during farming, it is believed to pose a hazardous health risk.

Given Korea's total farm area by type of farming in 2017, the area of fruit farming is larger than that of food crop (rice, wheat and barley, miscellaneous grains, legumes, and root and tuber crops) and vegetable farming [25]. In addition, according to a study on the status of pesticide use by type of crop, fruit farming uses more pesticides per unit area than vegetable and rice farming [26]. The above findings suggest that orchard farmers have a larger farm area and use more pesticides per unit area. Furthermore, a previous study showed a higher prevalence of acute occupational pesticide poisoning among orchard farmers than those cultivating other crops [27].

Currently, statistics on pesticide poisoning in Korea are mostly about patients who visited the emergency room due to pesticide intoxication, instead of the results of famers' occupational pesticide poisoning, and the cases often include taking in pesticides [28 29]. Furthermore, since acute occupational pesticide poisoning symptoms are often non-specific and mild, it seems that farmers are less likely to visit hospitals or clinics when they have the symptoms [6 30], which seems to explain few study findings on farmers' acute occupational pesticide poisoning up to this day.

The present study aims to identify differences in orchard farmers' prevalence of acute occupational pesticide poisoning across farming characteristics and the risk factors that have an effect on acute occupational pesticide poisoning.

Orchard feature its usage of special machine known as a speed sprayer. When pesticide is sprayed, dermal exposure is the most common pathway known for pesticide exposure [31]. Therefore, in spite of using cabin-style speed sprayer, exposure to pesticide is feasible without wearing PPE. In addition, due to absence of past study which specifically classified of pesticide spraying method depending on presence of cabin, for the first time, present study examined acute occupational pesticide poisoning symptoms of speed sprayer depending on presence of cabin.

METHODS

Study participants

The present study examines famers in south Chungcheong Province from the ‘Local Community Farmer Screening and Questionnaire Epidemiological Study’ conducted from 2014 to 2017 by the Center for Farmers' Safety and Health in Dankook University Hospital. The one-on-one questionnaire survey was conducted for 3 years (2014, 2015, and 2017) on 394 orchard farmers in south Chungcheong Province (Yesan-gun, Nonsan, Cheonan, Dangjin, Gongju, Asan, Boryeong, and Hongseong-gun). The present study excluded 4 farmers no longer farm occupationally anymore and 1 farmer who did not respond to the acute pesticide poisoning question. Furthermore, the present study excluded 22 farmers who were suffering from 6 diseases (stroke, angina/myocardial infarction, chronic obstructive pulmonary disease, chronic renal failure, Parkinson's disease, and multiple peripheral neuropathy), which could potentially show symptoms similar to acute pesticide poisoning or whose drugs might delay the expression of acute pesticide poisoning symptoms by 48 hours. Administration of warfarins, superwarfarins and coumarins are exceptions since symptoms may be delayed greater than 48 hours [32]. Efficient metabolism of pesticide is difficult for patients with chronic renal failure, dyspnea may occur in farmers with chronic obstructive pulmonary disease, and Parkinson's disease and multiple peripheral neuropathy may cause paresthesia, paralysis, muscle weakness, which makes patient these diseases inappropriate candidate for this study.

Also, the present study excluded 44 farmers who do not use a speed sprayer. Hence, the present study included 323 participants for final analysis. In particular, 214 farmers (66.3%) sprayed pesticides in person. Fig. 1 shows the above process in a flow chart.

Fig. 1

Flow chart of inclusion and exclusion of the study participants.

Study description and methods

All questionnaire surveys were conducted by one-on-one interview by the researcher who fully understood the present study's purposes and completed research ethics training.

Questionnaire items included sociodemographic factors (gender, age, educational status, the presence of a spouse, annual income, etc.), farming occupational exposure factors (period of farming, frequency of spraying pesticides, types of crops, role in spraying pesticides, method of spraying pesticides, PPE, etc.), acute occupational pesticide poisoning symptoms, past disease history (stroke, angina/myocardial infarction, chronic renal failure, etc.), and lifestyle factors (exercise, alcohol, smoking, etc.). The questionnaire excluded cotton gloves, cotton shirt, and cotton mask from PPE. It was developed based on previous studies [32 33 34].

Using the same standards in previous studies [33 34 35], the present study defined ‘acute occupational pesticide poisoning’ as a case which the participant experienced at least 1 out of 21 clinical symptoms provided in the questionnaire within 48 hours after exposure to pesticides over the last 1 year. The 21 clinical symptoms included ‘skin irritation, dizziness, nausea, fatigue, headache, eye irritation, vomiting, sore throat, chest pain, runny nose, excessive sweating, paresthesia, hyperactivity (anxiety), muscle weakness, lacrimation, diarrhea, dyspnea, blurred vision, slurred speech, paralysis, and syncope’ [33 34 35]. Refer World Health Organization for information of symptoms of acute pesticide poisoning for each pesticide category [36]. For instance, acute occupational pesticide poisoning symptoms of organophosphorus and carbamate pesticide include dyspnea, vomiting, pupil contraction, epiphora, excessive sweating, and sialosis.

Analysis method

Differences between groups in acute occupational pesticide poisoning were analyzed using the χ² test, t-test, and Mann-Whitney test. With acute occupational pesticide poisoning as the dependent variable, χ² test was conducted by groups of gender, age, annual income, educational status, the presence of a spouse, smoking, alcohol, regular exercise, average sleeping time of last year, farming period, the cultivation of crops and fruits, total farm area, the area of fruit farming, role in spraying pesticide, spraying pesticide's frequency, speed sprayer's cabin existence, the number of PPE worn while spraying pesticide, PPE worn while spraying pesticide. With acute occupational pesticide poisoning as the dependent variable, analysis of t-test was conducted by age and Mann-Whitney test was executed by total farm area and the area of fruit farming. Also, with acute occupational pesticide poisoning as the dependent variable, a multiple logistic regression analysis was conducted by adjusting gender, age, educational status, smoking, and drinking status to examine the factors that had an effect on acute occupational pesticide poisoning symptoms. PPE was categorized into wearing (always) and not wearing (almost never, sometimes, and often), and compliance with safety guidelines was divided into compliance (always) and non-compliance (never, sometimes, and often).

The p-value of less than 0.05 was considered to indicate statistical significance. R (ver. 3.5.2; R Foundation, Vienna, Austria) was used for the statistical analysis of data.

Ethics statement

For the present study, we obtained approval from the Institutional Review Board of Dankook University Hospital (IRB No. 2014-08-003 & IRB No. 2017-07-001) and received written consent for voluntary participation from every participant fully explained before participating.

RESULTS

Prevalence by acute occupational pesticide poisoning symptom

The acute occupational pesticide poisoning symptoms of farmers in south Chungcheong Province were surveyed with multiple responses allowed, and Table 1 provides the prevalence of 21 clinical symptoms. Among 323 participants, 52 (16.1%) experienced at least 1 acute occupational pesticide poisoning symptom within 48 hours after exposure to pesticides over the last 1 year. Among those 52, 31 were men and 21 were women. The average number of multiple responses from 52 who experienced acute occupational pesticide poisoning symptoms was 1.7 ± 1.5. The prevalence by symptom was in the order of 20 participants with skin irritation (38.5%), 15 with dizziness (28.8%), and 12 with nausea (23.1%).

Table 1

The symptom prevalence of acute occupational pesticide poisoning using the analysis of multiple responses

Prevalence of acute occupational pesticide poisoning by participants’ general demographic characteristics

Table 2 shows the prevalence of acute occupational pesticide poisoning by general characteristics of the participants. The prevalence of acute occupational pesticide poisoning by general demographic factor except for age (gender, annual income, educational status, the presence of a spouse, smoking, alcohol, exercise, and sleeping time) showed no statistically significant difference.

Table 2

The prevalence of acute occupational pesticide poisoning by general characteristics of the study participants (n = 323)

According to a t-test analysis, the average age of the group whose members experienced acute occupational pesticide poisoning was 59.9 ± 9.0, which is lower than the average age of the group (63.7 ± 7.6) whose members didn't experience it, and this was statistically significant (p < 0.01).

Comparison of the prevalence of acute occupational pesticide poisoning by characteristics of the agricultural environment

Table 3 shows the results of an analysis of the prevalence of acute occupational pesticide poisoning by characteristics of the agricultural environment. An analysis of the prevalence of acute occupational pesticide poisoning by period of farming revealed that the group with less than 20 years in farming accounted for 27.7%, which was the highest but not statistically significant. By total farm area, the participants were divided into 3 groups to analyze the prevalence of acute occupational pesticide poisoning. The results showed that the group with a larger total farm area had a higher prevalence of acute occupational pesticide poisoning, which was statistically significant (p < 0.05). The prevalence of acute occupational pesticide poisoning by cultivation of other crops than fruit trees did not show a statistically significant difference. By area of fruit farming in the total farm area, the participants were divided into 3 groups to analyze the prevalence of acute occupational pesticide poisoning, and the group with larger than 2,400 m² area of fruit farming had the highest prevalence (28.6%) of acute occupational pesticide poisoning. The results showed that the group with a larger fruit farm area had a higher prevalence of acute occupational pesticide poisoning, which was statistically significant (p < 0.05). According to a t-test analysis, the area of fruit farming of the group whose members experienced acute occupational pesticide poisoning was 20,779 ± 12,246 m², which is larger than that of the group (16,605 ± 11,409 m²) whose members didn't experience it, and this was statistically significant (p < 0.01).

Table 3

The prevalence of acute occupational pesticide poisoning by characteristics of agricultural environment

Comparison of the prevalence of acute occupational pesticide poisoning by type of work using pesticides

Table 4 shows the results of an analysis of the prevalence of acute occupational pesticide poisoning by type of work using pesticides.

Table 4

The prevalence of acute occupational pesticide poisoning by type of work using pesticides

There were 7 pesticide PPE worn by farmers while spraying pesticides (goggles, hat, boots, gloves, mask, clothing [top], and clothing [bottom]), and the average number of PPE worn by the study participants was 3.1 ± 2.4. According to the prevalence of acute occupational pesticide poisoning by number of PPE, the group wearing 3 or less PPE while spraying pesticides had the risk of acute occupational pesticide poisoning by 2.15 times (95% confidence interval: 1.09–4.24) higher than the group wearing 4 or more PPE, which was statistically significant (p < 0.05).

However, the prevalence of acute occupational pesticide poisoning by role in spraying pesticides, frequency of spraying pesticides per year, and method of spraying pesticides showed no statistically significant difference.

Prevalence of acute occupational pesticide poisoning by speed sprayer’s cabin existence among main sprayers

Table 5 shows the prevalence of acute occupational pesticide poisoning by speed sprayer's cabin existence among main sprayers. The speed sprayer's cabin existence is presented in Fig. 2. According to the observations of pesticide spray practices in this survey, it was conjectured that cabin-style speed sprayers would produce less dermal exposure during pesticide spray than cabinless-style speed sprayers. However, an analysis of the prevalence of acute occupational pesticide poisoning by speed sprayer's cabin existence did not show a statistically significant difference.

Table 5

Prevalence of acute occupational pesticide poisoning by speed sprayer's cabin existence among main sprayers (n = 214)

Fig. 2

(A) A cabin-style speed sprayer. (B) A cabinless-style speed sprayer.

Table 6 shows the average number of PPE worn by speed sprayer's cabin existence among main sprayers and the percentage of wearing PPE by type of PPE. The average number of PPE worn by main sprayers using the cabinless-style speed sprayer was 4.4 ± 1.8, which was higher than 2.0 ± 2.1, the average number of PPE worn by those using the cabin-style speed sprayer (p < 0.01). Those using the cabinless-style speed sprayer showed a higher percentage of wearing 5 PPE (hat, boots, mask, clothing [top], and clothing [bottom]) except for gloves and goggles than those using the cabin-style speed sprayer, which was statistically significant (p < 0.05).

Table 6

The PPE worn by speed sprayer's cabin existence among main sprayers (n = 214)

DISCUSSION

In the present study, orchard farmers' prevalence of acute occupational pesticide poisoning symptoms was 16.1%. The average number of multiple responses for acute occupational pesticide poisoning symptoms was 1.7 ± 1.5. A previous study on Korean male farmers in 2011 reported the prevalence of acute occupational pesticide poisoning as 22.9%, and compared to its finding that the prevalence of acute occupational pesticide poisoning among orchard farmers was 31.5%, the present study's prevalence was lower than the previous study's [35]. The reason the present study's prevalence was lower than the previous study's seems to be because interest in farming occupational diseases and health effects caused by pesticide poisoning is recently growing among farmers, and there have been changes towards low-pesticide and environmentally-friendly farming methods [37]. While the present study was conducted mostly on fruit farming in south Chungcheong Province, the previous study examined farmers across South Korea, which would have contributed to a difference with the present study [35]. A follow-up study would need to examine differences among specific fruit trees.

According to previous studies, a larger farm area led to a higher prevalence of acute occupational pesticide poisoning, and the reason has been reported that a larger farm area requires more pesticides to use [26 33]. Also, in the present study, the group with a larger area of fruit farming had a higher prevalence of acute occupational pesticide poisoning, which was statistically significant (p < 0.05).

A considerable amount of time is required for preparing before pesticide spray and wrapping up after pesticide spray. While diluting pesticides, preparing the sprayer, or wrapping up, pesticides could be absorbed into the skin when farmers come into contact with the sprayer contaminated by pesticides. The calculation of the pesticide exposure index used in general considers whether pesticides are diluted before spray or the cleaning and repair of the sprayer after pesticide spray [38]. Hence, to effectively prevent pesticide exposure, it is necessary to wear PPE from the preparation of pesticide spray to wrap-up after pesticide spray.

According to previous studies, wearing PPE overall decreased the prevalence of acute occupational pesticide poisoning, but the result was statistically significant in just some of those studies [35 39]. The previous studies divided wearing PPE into ‘often’ and ‘always’. The average number of PPE was less than 3, and the percentage of wearing PPE was relatively low except for boots and hat, which imply PPE may not effectively prevent pesticide exposure in previous studies. According to another study that measured the level of pesticide exposure among farmers using speed sprayers, the level of respiratory pesticide exposure by the farmers using speed sprayers was 0.1% lower than that of dermal exposure, and the level of dermal pesticide exposure by part of the body was high in the order of thighs, shins, and chest/abdomen [40]. Therefore, wearing PPE is important to effectively prevent pesticide exposure among farmers using speed sprayers.

Compared to other crops, fruit trees require a larger farm area and are taller, and thus speed sprayers are used to spray pesticides. In the present study, it was found that 100% of the participants used speed sprayers. A previous study, which examined the prevalence of acute occupational pesticide poisoning by method of spraying pesticides, reported that the prevalence of farmers using speed sprayers was higher than that of those using high pressure hand sprayers, manual backpack sprayers, mist or hand sprayers, air sprayers and others [35]. However, no study looked into the prevalence of acute occupational pesticide poisoning depending on the speed sprayer's cabin existence. According to the observations of pesticide spray practices in this survey, working inside confined cabin when using a cabin-style speed sprayer would have protected them from pesticide exposure. In this context, the present study analyzed the prevalence of acute occupational pesticide poisoning by speed sprayer's cabin existence.

For those who spray pesticides mainly, the average number of PPE worn by farmers using the cabinless-style speed sprayer was 4.4 ± 1.8, which was higher than 2.0 ± 2.1, the number of PPE worn by farmers using the cabin-style speed sprayer, and the difference was statistically significant (p < 0.01). Farmers using the cabinless-style speed sprayer showed a higher percentage of wearing 5 PPE (hat, boots, mask, clothing [top], and clothing [bottom]) than those using the cabin-style speed sprayer, which was statistically significant (p < 0.05). In particular, farmers using the cabinless-style speed sprayer showed the percentage of wearing clothing (top) and clothing (bottom) more than 5 times that of those using the cabin-style speed sprayer. Since questionnaire items in the present study examined wearing PPE during pesticide spray, there was a limitation that they could not examine wearing PPE during the preparation and wrap-up of pesticide spray. However, farmers were more likely to wear PPE during the preparation and wrap-up of pesticide spray if they had worn PPE during pesticide spray. This survey's results showed no statistically significant difference in the prevalence of acute occupational pesticide poisoning by speed sprayer's cabin existence among those main pesticide sprayers. In other words, while using the cabin-style speed sprayer can prevent pesticide exposure during pesticide spray, it is required to wear PPE before and after spraying pesticides to prevent pesticide exposure more effectively.

The following are the limitations of the present study. First, there could have been recall bias as it was a questionnaire survey that asked farmers for the prevalence of acute occupational pesticide poisoning over the last 1 year. Second, it is difficult to generalize the results of this study to all farmers living in Korea. Participant in the present study were limited to orchard farmers in south Chungcheong Province. A follow-up study of examination by type of fruit tree may be required in not just south Chungcheong Province but a wider region. Third, since acute occupational pesticide poisoning symptoms were identified by the questionnaire, it did not examine biomarkers. Also, in this study, acute pesticide poisoning is not the clinical diagnosis of a physician in a medical institution. A follow-up study would need to use biomarkers and clinical diagnoses. Forth, the questionnaire used in this study was developed by referring to the questionnaire used in the implementation project of a safety model for agricultural work conducted by the Rural Development Administration in South Korea the question concerning symptoms of acute pesticide poisoning. However, there are limitations that do not provide a clear basis for the validity and reliability of the questionnaire used in this study. Despite such limitations, however, the present study has the following strengths. First, it used 3 years (2014, 2015, and 2017) of questionnaire data. Second, while it was based on questionnaire data, it conducted one-on-one face-to-face interviews and is considered to have higher reliability than a survey that simply hands out questionnaire copies. Finally, it holds research significance as the first study in Korea that examined the prevalence of acute occupational pesticide poisoning by speed sprayer's cabin existence.

The present study shows the expected effect that wearing pesticide PPE along with using the speed sprayer's cabin can reduce the prevalence of acute occupational pesticide poisoning among orchard farmers.

CONCLUSIONS

The speed sprayer that orchard farmers use often for pesticide spray has the effect of preventing pesticide exposure during pesticide spray if it has a cabin. To prevent pesticide exposure before and after pesticide spray, however, it is indispensable to wear PPE. The present study analyzed the prevalence of acute occupational pesticide poisoning by speed sprayer's cabin existence when orchard farmers used the speed sprayer. The result was that although the group wearing few PPE among farmers using the cabin-style speed sprayer had a higher risk of acute occupational pesticide poisoning, the difference was not statistically significant. By contrast, the group wearing few PPE among farmers using the cabinless-style speed sprayer had a statistically significant higher risk of pesticide poisoning. Thus, it is important to not only use the speed sprayer's cabin but also increase the percentage of wearing PPE in order to reduce orchard farmers' pesticide exposure. In addition, the present study holds significance as the first study in Korea which examined the prevalence of acute occupational pesticide poisoning by speed sprayer's cabin existence.

Notes

Funding: This work was supported by the Ministry of Agriculture, Food and Rural Affairs of the Republic of Korea.

Competing interests: The authors declare that they have no competing interest.

Authors contributions:

Conceptualization: Shin J.
Data curation: Shin J.
Formal analysis: Shin J.
Funding acquisition: Roh S.
Investigation: Roh S.
Methodology: Shin J.
Project administration: Roh S.
Resources: Roh S.
Software: Shin J.
Supervision: Roh S.
Validation: Shin J.
Visualization: Shin J.
Writing - original draft: Shin J.
Writing - review & editing: Roh S.

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Symptom of acute occupational pesticide poisoning	Total (n = 52)	Man (n = 31)	Woman (n = 21)
Skin irritation	20 (38.5)	10 (32.3)	10 (47.6)
Dizziness	15 (28.8)	9 (29.0)	6 (28.6)
Nausea	12 (23.1)	7 (22.6)	5 (23.8)
Headache	10 (19.2)	6 (19.4)	4 (19.0)
Fatigue	9 (17.3)	8 (25.8)	1 (4.8)
Eye irritation	7 (13.5)	4 (12.9)	3 (14.3)
Vomiting	3 (5.8)	3 (9.7)	0 (0.0)
Sore throat	3 (5.8)	3 (9.7)	0 (0.0)
Runny nose	3 (5.8)	1 (3.2)	2 (9.5)
Chest pain	2 (3.8)	2 (6.5)	0 (0.0)
Excessive sweating	2 (3.8)	2 (6.5)	0 (0.0)
Paresthesia	2 (3.8)	1 (3.2)	1 (4.8)
Hyperactivity (anxiety)	1 (1.9)	1 (3.2)	0 (0.0)
Muscle weakness	1 (1.9)	1 (3.2)	0 (0.0)
Lacrimation	0 (0.0)	0 (0.0)	0 (0.0)
Diarrhea	0 (0.0)	0 (0.0)	0 (0.0)
Dyspnea	0 (0.0)	0 (0.0)	0 (0.0)
Blurred vision	0 (0.0)	0 (0.0)	0 (0.0)
Slurred speech	0 (0.0)	0 (0.0)	0 (0.0)
Paralysis	0 (0.0)	0 (0.0)	0 (0.0)
Syncope	0 (0.0)	0 (0.0)	0 (0.0)

Variables		Total	Acute pesticide poisoning		p-value	Crude OR (95% CI)	Adjusted OR^a (95% CI)
Variables		Total	No	Yes	p-value	Crude OR (95% CI)	Adjusted OR^a (95% CI)
Gender					0.63
	Man	202 (62.5)	171 (84.7)	31 (15.3)		1	1
	Woman	121 (37.5)	100 (82.6)	21 (17.4)		1.16 (0.63–2.12)	2.20 (0.78–6.20)
Age (years)
	Mean ± SD	63.1 ± 8.0	63.7 ± 7.6	59.9 ± 9.0	0.00
	≥ 70	64 (21.3)	57 (89.1)	7 (10.9)	0.71	1	1
	60–69	164 (50.8)	141 (86.0)	23 (14.0)		1.33 (0.54–3.27)	1.27 (0.51–3.20)
	< 60	95 (29.4)	73 (76.8)	22 (23.2)		2.45 (0.98–6.15)	2.16 (0.82–5.70)
Annual income (10,000 won)					0.11
	< 3,000	73 (26.7)	65 (89.0)	8 (11.0)		1	1
	3,000–4,999	78 (28.6)	70 (89.7)	8 (10.3)		0.93 (0.33–2.62)	0.87 (0.30–2.53)
	≥ 5,000	122 (44.7)	98 (80.3)	24 (19.7)		1.99 (0.84–4.70)	1.69 (0.69–4.11)
	No answer	50
Educational status					0.42
	≤ Middle school	216 (67.3)	184 (85.2)	32 (14.8)		1	1
	≥ High school	105 (32.7)	85 (81.0)	20 (19.0)		1.35 (0.73–2.50)	1.17 (0.59–2.32)
	No answer	2
The presence of a spouse					0.67
	With a spouse	312 (96.9)	262 (84.0)	50 (16.0)		1	1
	Without a spouse	10 (3.1)	8 (80.0)	2 (20.0)		1.31 (0.27–6.35)	0.69 (0.11–4.31)
	No answer	1
Smoking					0.15
	< 5 packs	196 (60.9)	169 (86.2)	27 (13.8)		1	1
	≥ 5 packs	126 (39.1)	101 (80.2)	25 (19.8)		1.55 (0.85–2.82)	2.35 (0.89–6.16)
	No answer	1
Alcohol					0.82
	Non-drinking	143 (44.3)	122 (85.3)	21 (14.7)		1	1
	Ex-drinking	24 (7.4)	20 (83.3)	4 (16.7)		1.17 (0.36–3.74)	1.53 (0.43–5.49)
	Drinking	156 (48.3)	129 (82.7)	27 (17.3)		1.22 (0.65–2.26)	1.11 (0.53–2.31)
Regular exercise					0.80
	Yes	60 (19.1)	51 (83.7)	9 (16.3)		1	1
	No	263 (80.9)	220 (85.0)	43 (15.0)		1.11 (0.51–2.42)	1.19 (0.54–2.64)
The average sleeping time in the last year					0.34
	≥ 7 hours	175 (54.2)	150 (85.7)	25 (14.3)		1	1
	< 7 hours	148 (45.8)	121 (81.8)	27 (18.2)		1.34 (0.74–2.43)	1.45 (0.78–2.69)

Variables		Total	Acute pesticide poisoning		p-value	Crude OR (95% CI)	Adjusted OR^a (95% CI)
Variables		Total	No	Yes	p-value	Crude OR (95% CI)	Adjusted OR^a (95% CI)
The period of farming (years)					0.06
	≥ 40	126 (39.1)	110 (87.3)	16 (12.7)		1	1
	20–39	149 (46.3)	126 (84.6)	23 (15.4)		1.26 (0.63–2.50)	0.73 (0.33–1.61)
	< 20	47 (14.6)	34 (72.3)	13 (27.7)		2.63 (1.15–6.01)	1.32 (0.47–3.71)
	No answer	1
The cultivation of crops and fruits					0.50
	Yes	47 (14.6)	41 (87.2)	6 (12.8)		1	1
	No	276 (85.4)	230 (83.3)	46 (16.7)		1.47 (0.58–3.78)	1.37 (0.55–3.41)
Total farm area (m²)
	Mean ± SD	19,757 ± 13,761	18,662 ± 12,690	25,464 ± 17,422	0.00
	< 12,000	102 (31.6)	92 (90.2)	10 (9.8)	0.01	1	1
	12,000–23,999	144 (44.6)	122 (84.7)	22 (15.3)		1.66 (0.75–3.67)	1.34 (0.59–3.04)
	≥ 24,000	77 (23.8)	57 (74.0)	20 (26.0)		3.23 (1.41–7.39)	2.52 (1.06–5.96)
The area of fruit farming (m²)
	Mean ± SD	17,277 ± 11,630	16,605 ± 11,409	20,779 ± 12,246	0.01
	< 12,000	127 (39.3)	113 (89.0)	14 (11.0)	0.01	1	1
	12,000–23,999	140 (43.3)	118 (84.3)	22 (15.7)		1.51 (0.73–3.09)	1.36 (0.65–2.83)
	≥ 24,000	56 (17.3)	40 (71.4)	16 (28.6)		3.23 (1.45–7.21)	2.65 (1.16–6.08)

Variables		Total	Acute pesticide poisoning		p-value	Crude OR (95% CI)	Adjusted OR^a (95% CI)
Variables		Total	No	Yes	p-value	Crude OR (95% CI)	Adjusted OR^a (95% CI)
Role in spraying pesticide					0.98
	None	50 (15.5)	42 (84.0)	8 (16.0)		1	1
	Assistance	59 (18.3)	49 (83.1)	10 (16.9)		1.07 (0.39–2.96)	1.16 (0.41–3.25)
	Main	214 (66.3)	180 (84.1)	34 (15.9)		0.99 (0.43–2.30)	1.74 (0.42–7.22)
Frequency of spraying pesticide (No. of times/years)					0.53
	≥ 20	106 (32.8)	91 (85.8)	15 (14.2)		1	1
	< 20	217 (67.2)	180 (82.9)	37 (17.1)		1.25 (0.65–2.39)	1.38 (0.70–2.72)
Speed sprayer's cabin existence					0.55
	Cabin-style speed sprayer	79 (24.5)	68 (86.1)	11 (13.9)		1	1
	Cabinless-style speed sprayer	244 (75.5)	203 (83.2)	41 (16.8)		1.25 (0.61–2.57)	1.35 (0.64–2.85)
No. of PPE worn while spraying pesticide^b
	Mean ± SD	3.1 ± 2.4	3.2 ± 2.4	2.4 ± 2.4
	4–7	159 (50.3)	141 (88.7)	18 (11.3)	0.02	1	1
	0–3	157 (49.7)	124 (79.0)	33 (21.0)		2.10 (1.13–3.91)	2.15 (1.09–4.24)
	No answer	7

Speed sprayer's cabin existence	Total	Acute pesticide poisoning		p-value
Speed sprayer's cabin existence	Total	No	Yes	p-value
Cabin-style speed sprayer	52 (24.3)	44 (84.6)	8 (15.4)	0.91
Cabinless-style speed sprayer	162 (75.7)	136 (84.0)	26 (16.0)

Variables			Total	Speed sprayer's cabin existence		p-value
Variables			Total	No	Yes	p-value
The average No. of PPE^a			3.8 ± 2.2	4.4 ± 1.8	2.0 ± 2.1
	Boots					0.00
		Always	148 (69.2)	128 (79.0)	20 (38.5)
		Not always	66 (30.8)	34 (21.0)	32 (61.5)
	Hat					0.00
		Always	142 (66.4)	122 (75.3)	20 (38.5)
		Not always	72 (33.6)	40 (24.7)	32 (61.5)
	Clothing (top)					0.00
		Always	140 (65.4)	132 (81.5)	8 (15.4)
		Not always	74 (34.6)	30 (18.5)	44 (84.6)
	Clothing (bottom)					0.00
		Always	137 (64.0)	129 (79.6)	8 (15.4)
		Not always	77 (36.0)	33 (20.4)	44 (84.6)
	Mask					0.02
		Always	117 (54.7)	96 (59.3)	21 (40.4)
		Not always	97 (45.3)	66 (40.7)	31 (59.6)
	Gloves					0.42
		Always	101 (47.2)	79 (48.8)	22 (42.3)
		Not always	113 (52.8)	83 (51.2)	30 (57.7)
	Goggles					0.49
		Always	31 (14.5)	25 (15.4)	6 (11.5)
		Not always	183 (85.5)	137 (84.6)	46 (88.5)