Next Article in Journal
Attitudes of Polish Doctors towards Brain Death
Previous Article in Journal
Inter-Regional Patients’ Migration for Hospital Orthopedic Intensive Rehabilitation: The Italian Experience
Previous Article in Special Issue
The Evolutionary Game Analysis of Low Carbon Production Behaviour of Farmers, Government and Consumers in Food Safety Source Governance
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Pesticide Safety Awareness among Rural Farmers in Dadinkowa, Gombe State, Nigeria

1
Department of Health Professions, Faculty of Health and Education, Manchester Metropolitan University, Manchester M15 6BG, UK
2
Department of Horticultural Technology, Federal College of Horticulture, Dadin-Kowa 761121, Gombe State, Nigeria
3
Department of Public Health, College of Nursing and Midwifery, Jos 760251, Gombe State, Nigeria
4
Department of Agricultural Technology, Federal College of Forestry, Jos 930253, Gombe State, Nigeria
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(21), 13728; https://doi.org/10.3390/ijerph192113728
Submission received: 15 September 2022 / Revised: 15 October 2022 / Accepted: 20 October 2022 / Published: 22 October 2022
(This article belongs to the Special Issue Pesticide Risk Assessment: Human and Environmental)

Abstract

:
Introduction: Because of the longer growing season and warmer climate, weeds and insect pests spread are on the rise, thereby increasing the demand for pesticide use and consequently harmful emissions that further exacerbate climate change. Unsafe occupational exposure to pesticide residue is associated with a lack of product knowledge and safety awareness among farmers in low- and middle-income countries (LMICs). Materials and Methods: A cross-sectional descriptive study design was adopted for this study in which a face-to-face administered questionnaire was used to collect data from 285 respondents who were selected using convenient snowball sampling technique. Knowledge, awareness, and practices related to pesticide storage, handling, application, and containers disposal among the farmers were measured. Categorical variables were analysed and presented using descriptive statistics in the form of frequency count and percentage, while numeric items were summarized using mean and standard deviation. Results: Dichlorvos and Perfekthion 2.5 EC listed in the WHO Group I pesticide classification were among the most frequently used pesticides. Symptoms of pesticide intoxication reported include headaches (56.1%), dizziness (56.5%), skin irritation (53.3%), and fatigue (45.6%), respectively. Farmers’ behaviour during pesticide application include blowing clogged nozzle with mouth (42.7%), talking while spraying (59.8%), and mixing pesticide with bare hands (31.1%). Furthermore, 38.5% of them use pesticide containers for other domestic purposes. Conclusions: Socioeconomic factors, i.e., educational level, age, and years of farm practice, influenced farmers safety behaviour. Based on these findings, an approach that will help strengthen capacity building programmes and the enhancement of knowledge-based initiatives around the adoption of non-synthetic pest-control methods should be encouraged.

1. Introduction

Pesticide use is synonymous with farming communities, especially in low- and middle-income countries (LMICs), with the wide spread of acute pesticide poisoning affecting farmers, farmworkers, and their families due to non-existent or inadequate safety and health standards [1,2,3]. Because of the high dependency on pesticide use among farmers to protect crops against pests such as desert locust in parts of Africa and to maximise crop yield, the exposure route to pesticide among farming communities is prevalent and can either be in non-occupational settings via residue in drinking water and food, which might be at low levels [4,5], and occupational, i.e., through inhalation or oral and dermal contact, where the farming community is exposed to these pesticides on a regular basis with resultant ill health symptoms, which might be immediate or after long periods of exposure [2,6]. Previous studies have established the relationship between pesticide exposure and resultant adverse effects that involve biomolecular alterations leading to the development of related diseases, especially among vulnerable groups that include children, pregnant women, individuals with compromised immune systems, etc. [7,8,9].
Despite the high burden related to acute pesticide poisoning reported at both global and regional levels, due to limited access to information, training, and appropriate equipment to safely apply pesticide on farms, several famers and farmworkers, especially in LMICs, lack safety and risk awareness related to pesticide storage, use and disposal of empty containers, non-use or inappropriate use of PPE, and the lack of infrastructure and resources by governments to regulate and monitor pesticide use [2,8,10,11]. These alongside other factors contribute to the high morbidity and mortality rates associated with pesticide exposure among the farming communities.
Although the impact associated with pesticide use in developing countries might be underestimated, the high use of highly hazardous pesticide (HPPs) presents a significant clinical impact among farming communities, including respiratory, integumentary, cardiovascular, gastrointestinal, and neurological effects [11,12,13]. A report on pesticide and HHPs in Nigeria revealed that at the end of the 2018 financial year, 147,446 tons of pesticides were imported into the country, and 584 tons of the imported stocks were in the HHPs classification group [14]. The north-eastern region of Nigeria plays a crucial role towards the production of both farm and animal produce that supports the federal government’s food security agenda. The present government’s drive for agricultural practices in the country comes with a high use of pesticides, which mostly are products imported into the country for high crop yield. Earlier [13] illustrated the safety challenges posed by pesticide use within the agricultural sectors of developing countries to include the underestimation of pesticide harm to human health, misunderstanding of safety guideline among the farming communities, infiltration of counterfeit pesticide into the local market, and lack of regulations, which paves the way for profit over human safety. As such, the need to understand the extent to which pesticide can pose risks to farmers’ health will require the government’s and relevant stakeholders’ effort to develop an effective monitoring and testing regime to ensure their safe usage and handling are considered during application and storage. The present study measured rural farmers’ safety knowledge, awareness, and practices as they relate to pesticide application and storage.

2. Materials and Methods

2.1. Study Area, Population, and Sampling

The study was conducted between March–June 2021, in Dadinkowa, located 35 km away from Gombe, the state capital in the north-eastern part of Nigeria. The study area is in the Yamaltu-Deba local government area, with a projected population of 348,019 inhabitants, sharing boundary with the Akko local government area to the south-west, Deba to the east, and Kwami to the north. The area has an altitude of about 370 m above sea level and houses the multipurpose Dadinkowa dam, which has a surface area of 3000 square km with 1.7 million m3 constructed holding capacity. The aim of the dam construction includes water provision for domestic use, irrigation, fish farming, and electricity generation within the area, and its surrounding environment provides employment to 71% of the inhabitants. Two distinct seasons, namely wet (April–October) and dry season (November–March), characterise the region, with an average rainfall of 850 mm and a mean annual temperature of 32 °C. Different horticultural crops produced in the regions include tomatoes, vegetables, fruit, cotton, cereal, etc., as major crops cultivated in the area for local use of the community and export to various region within Nigeria and to the neighbouring countries of Chad and Cameroon.
Based on frequently reported pesticide intoxication symptoms among the target population, a cross-sectional study was adopted to help make inference regarding the possible relationship between health symptoms associated with pesticide exposure and farmers’ attitude to safety and health. Based on this, a structured questionnaire was adopted to collect required information among 285 farmers located within the study area.
Inclusion criteria included farmers or farm workers involved with pesticide-application-related tasks that include pesticide mixers, pesticide sprayers, and responsible purchase and storage of pesticides and falling within the age group of above 18 years. Participation was voluntary, and recruitment was achieved with the assistance of local farmers’ association and farm extension officers that helped with the sensitization exercise among the farming community. A convenient snowball sampling technique was adopted to select the participants.
Questions asked include personal data, types of pesticide used, experience of pesticide intoxication, hygiene routine while handling pesticide, attitude practice and knowledge around pesticide safety, and preferred pesticide information source among others. Trained interviewers fluent in the local dialects (Hausa and Tera) commonly spoken among the farming community administered the face-to-face questionnaire. The technique helped to reassure participants and provide needed information to help respondents decide in taking part or otherwise. This also takes into consideration that most farmers are likely to have limited formal education and may not be familiar with the terminologies used in the questionnaire. The Federal College of Forestry ethics committee, Jos (FCFJ/MMU/001/02/2021), granted ethics approval on 9 February 2021.

2.2. Data Analysis

The data analysis was conducted using IBM SPSS version 27 IBM United Kingdom Limited, Cheshire, UK. Categorical variables were analysed and presented using descriptive statistics (frequency counts and percentages), while numeric items were summarized using mean and standard deviation. Reliability for sets of latent variables within each domain used in the survey instrument was assessed using Cronbach’s α test. The outcome of the analysis revealed the sets of items as closely related, with a good-to-excellent alpha score array of 0.788–0.940 across the four domains measured (Table 1).

3. Results

Sociodemographic variables considered in the survey are presented in Table 2. The majority of participants were within the active population age band of >20 to 50 years of age. Based on the age grouping used, those that were identified within the age bracket of 20–30 of years accounted for 29.8% of the study population. Only 12.4% of the participants said they had no formal education. A slightly higher number (63.2%) said they practice both wet- and dry-season farming. The number of years working with pesticide on farms ranged from 1 to more than 20 years among the surveyed population, and 26.4% affirmed pesticide use of more than three times per farming cycle (Table 2).
To have a clearer picture of pesticide types commonly used among the surveyed group, a list of pesticides commonly sold among vendors within the community was compiled. From their response, products classified as highly hazardous pesticide (HPPs) were among the common pesticides used on farms among the group. The organophosphate pesticide group was found to be intensively used among the farmers, with 49.8% of the participants admitting having used glyphosate at some point, and Malathion (41.8%) followed closely. Paraquat, a Group II WHO-classified product, is the most highly utilised (53%) pesticide among the participants and is closely followed by Lambda-cyhalothrin, which 52.3% of the respondent said to have applied on the farm at some point. Dichlorvos, a WHO Group I pesticide, was found to have been used by 29.8% of the farmers (Table 3).
Pesticide poisoning was prevalent among the sampled population, where each affirmed to have experienced one form of pesticide intoxication symptoms after application of the product on the farm. The most prevalent symptom reported among the group after pesticide application was dizziness (56.5%), followed by headaches (56.1%). Other symptoms reported include skin irritation (53.3%), itchy eyes (40.7%), excessive salivation (44.2%), and mucus build up in airways (22.8%) (Table 4).
Table 5 presents the assessment of farmers’ pesticide safety knowledge and their varied degree of response across the questions asked. From the result, 89.8% acknowledged that pesticide does present human health effects if not properly handled. Only 57.9% said that they either read the product label or safety data sheet prior to mixing and application of the pesticide on their farm. In addition, 54.7% of the respondents affirmed to knowing how best to dispose of either expired product or residue after application on the farm. In response to the question about knowledge on farmers’ exposure route of pesticide, 38.6% said they are aware of other secondary routes, i.e., drinking water, food contamination, etc., while the majority (60%) considered oral ingestion as the main possible route of exposure during pesticide application. The question about the use of the mouth during pesticide application to blow out a clogged nozzle revealed that 39.3% of the respondents engaged in this form of practice at some point. Regarding the use of bare hands in mixing pesticide during preparation and its application on the farm, 31.1% admitted to having engaged in this form of practice. It was further revealed that a high number of the sampled population (38.5%) use empty pesticide containers for either farm or domestic use (Table 5).
Spearman’s rho correlation coefficient was used to assess the relationship between sets variables regarding participants’ awareness and attitude towards pesticide safety (Table 6). The outcome from the result showed no significant correlation between participants’ pesticide safety knowledge and years working with pesticide on the farm (rs = 0.11, p = 0.063). In addition, from the computed data, the result indicates that there was a significant association between pesticide handling and storage and gender among the farmers (rs = 0.238, p < 0.01). However, a negative correlation was also established between education and pesticide application and storage among the farmers (rs = −0.276, p < 0.01). The relationship between farmers’ safety knowledge and attitude towards pesticide safety also indicates a significant negative association (rs = −0.195, p < 0.01).

4. Discussion

As a result of frequent use of pesticides for agricultural practices and the impact of climate change, which has further increased farm pest and disease resistance, the present study measured pesticide safety awareness and attitude during application and storage among farmers involved in wet- and dry-season farming in Dadinkowa and its surrounding environment. To date, there are limited studies on pesticide safety awareness among rural farmers in northern Nigeria, and this study further demonstrates the need for stakeholders’ intervention regarding safe pesticide application among this group of farmers. To demonstrate the relationship between improved personal hygiene and pesticide exposure effect, Keifer [15] affirmed that around 80% probability of poisoning avoidance is likely with combined safety and hygiene precaution during pesticide application. Such uptake among the farmers considered in the present study was limited, and those that said they do not make use of PPE blamed extreme weather condition where temperature reaches ~40 °C at its peak; this poses a major factor restricting the farmers from using any form of PPE. A similar claim was also observed among farm workers in Kuwait [16].
Several short- and medium-term post-pesticide exposure symptoms that include headache (56.1%), skin irritation (53.3%), mental confusion (21.8%), increased breathing rate (24.6%), diarrhoea (33.3%), muscular twitching (29.5%), extra phlegm in airways (22.8%), etc., were reported among the sampled group. The symptoms described among the group correspond with limited application of personal safety precautions during pesticide preparation, application, and storage, which present a source of pesticide exposure. It was found that around one-quarter of the respondents affirmed to have either used their hands in stirring pesticide, blown a clogged nozzle with their mouth (42.7%), or used a pesticide container for either farm or domestic use. This form of negative attitude was reported in other studies [16,17] In addition, other poor personal hygiene and safety practices reported include limited use of coveralls and respirators (PPE); smoking during application and eating kola nuts among the farmers were other sources of pesticide exposure, coupled with the poor practice of not referring to manufacturer instructions either on the product label or safety data sheet (SDS), further demonstrating the rationale behind the high rate of individual symptoms reported among the group. These symptoms of pesticide intoxication as reported among these farmers correlate with their behaviour during pesticide application, and a high percentage of the farmers reported having experienced various forms of symptoms during or after application. Hence, there is a need for the government and relevant stakeholders to strengthen pesticide safety awareness training to help minimise associated health and environmental risks.
From the results of the study, high use of pesticides among the farmers to control farm pests was found; however, the required level of safety practices during the handling of these products was found to not be in practice by some of the respondents. Pesticide groups that include organophosphate, triazine derivative, organochlorine, and dithiocarbamate were among the most frequent pesticides used among the farmers. As such, there is ground to express occupational risk concerns related to pesticide application and storage. Despite the indication of awareness of both human health effects (91.1%) and environmental effects (79.6%) associated with pesticide exposure by the majority of farmers, reading of the safety data sheet (SDS) or product label before application was low, as only 57.9% said they engage with the information source. A high proportion of the participants said they consider the vendor’s pep talk during purchase as a sufficient guide on how best to apply and store the product. Similar outcomes were reported among farming communities in Ethiopia [18] and vegetable farmers in Ghana [19]. Similarly, regarding having the needed knowledge to enable the safe disposal of expired pesticides and or residue after use, only 54.9% of the farmers affirmed having awareness of such best practices. This further demonstrates the limited access to safety training regarding the handling and disposal of pesticides in general among the framers. This finding was consistent with an earlier study by [2,8,20], where knowledge regarding safe disposal of pesticide residue, containers, and expired products was low among farmers in rural irrigation villages in southwest Ethiopia. In addition, the shortfall in this further raises safety and health concerns for both the farmers and their families, as earlier studies have demonstrated correlation between miscarriages, especially during the first trimester; irregular menstrual flow; reproductive health; and infants’ death due to pesticide exposure related to farm practices [21,22,23,24]. Considering the role played by pesticide vendors and the high assurance around safe application methods that are relied upon by the farmers and originating from the pep talks they are involved with from the vendors, there is the need for relevant agencies, extension workers, and other related stakeholders to ensure pesticide vendors are engaged in periodic training to help increase their technical competence around pesticide safety knowledge and risk communication, which is expected to have a positive domino effect on farmers’ safe use of pesticide on farms [16,25,26].
The outcomes of the study show 29.8% of the farmers alluded to have used highly hazardous pesticides (HHP) at some point in addition to varied products classed as moderately hazardous (Class II) based on WHO classification [27]. Similarly, 78.3% of the farmers surveyed acknowledged to pesticide storage at home, indicating a high probability of exposure for both farmers and their family members. Earlier studies found a similar practice among cocoa farmers in southwestern Nigeria [28], rural farmers in Tanzania [25,29], and a rural irrigation farming community in Ethiopia [8,30]. Considering that 56.3% of the pesticides used among the farmers surveyed were among the WHO hazard Class II, it raises further safety and health concerns about the farmers as end users and the potential exposure to highly harmful agents, especially when they are stored in homes or transported with other media. The use of such harmful class agents corroborates earlier studies where pesticides used among farmers in Bangladesh (66%), Burkina Faso (65%), and Ethiopia (69%) were in the range of the WHO hazard classification II [8,31,32]. Regarding this, it is safe to conclude that efforts made at limiting pesticide exposure among the farmers considered in the present study have been unsatisfactory, and hence, there is a need to encourage alternative practices around farm pest control that could include the use of bio-control methods as well as control of the use of hazardous pesticides while ensuring that good agricultural practices are encouraged among the farming communities.
While the study did demonstrate the need for the enhancement of health and safety awareness among farmers in the region, there are limitations that are worth noting in the study. It cannot be said whether other underlying medical health statuses that present similar post-pesticide symptoms skewed the response of those that reported experiencing ill health conditions, which our study did not consider. Owing to the limited number of farmers considered, the result may not reflect the awareness and practices of other farmers outside the study area; as such, further study that includes large-scale participants is recommended.

5. Conclusions

While highly negative human and environmental effects associated with pesticide exposure were established, there was low uptake on safety label and SDS use prior to application and storage of pesticides among the farmers, demonstrating a negative correlation between safety awareness and practices about the handling of pesticides. Considering that both dry- and wet-season agricultural activities take place within Dadinkowa and its environment, due to the presence of the dam that supports all-season farming, the present study represents an initial attempt to bring to light the need for more intervention around safe pesticide application and storage practices. This can help reduce the health burden experienced in the area and move the state towards meeting its commitment to sustainable development goals.

Author Contributions

Conceptualization, H.M.M.; data curation, F.M.M. and N.C.; formal analysis, F.M.M. and M.D.; funding acquisition, H.M.M.; investigation, N.M. and F.M.M.; methodology, H.M.M., N.M., P.D. and M.D.; project administration, H.M.M., V.I.J. and P.D.; resources, P.D.; software, M.D.; supervision, N.M. and M.D.; validation, D.M.A., V.I.J. and N.C.; visualization, D.M.A., V.I.J. and N.C.; writing—original draft, H.M.M. and M.D.; writing—review and editing, D.M.A., N.M., V.I.J., N.C. and P.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Ethics Committee of The Federal College of Forestry, Jos (FCFJ/MMU/001/02/2021), on 9 February 2021.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available in the article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. FAO; WHO. International Code of Conduct on Pesticide Management Guidelines on Highly Hazardous Pesticides. 2016. Available online: http://www.fao.org/3/i5566e/i5566e.pdf (accessed on 13 April 2021).
  2. Nwadike, C.; Joshua, V.I.; Doka, P.J.S.; Ajaj, R.; Hashidu, U.A.; Gwary-Moda, S.; Danjin, M.; Moda, H.M. Occupational Safety Knowledge, Attitude, and Practice among Farmers in Northern Nigeria during Pesticide Application—A Case Study. Sustainability 2021, 13, 10107. [Google Scholar] [CrossRef]
  3. Röösli, M.; Fuhrimann, S.; Atuhaire, A.; Rother, H.-A.; Dabrowski, J.; Eskenazi, B.; Jørs, E.; Jepson, P.C.; London, L.; Naidoo, S.; et al. Interventions to Reduce Pesticide Exposure from the Agricultural Sector in Africa: A Workshop Report. Int. J. Environ. Res. Public Health 2022, 19, 8973. [Google Scholar] [CrossRef] [PubMed]
  4. Waheed, S.; Halsall, C.; Sweetman, A.; Jones, K.C.; Malik, R.N. Pesticides contaminated dust exposure, risk diagnosis and exposure markers in occupational and residential settings of Lahore, Pakistan. Environ. Toxicol. Pharmacol. 2017, 56, 375–382. [Google Scholar] [CrossRef] [Green Version]
  5. Dahiri, B.; Martín-Reina, J.; Carbonero-Aguilar, P.; Aguilera-Velázquez, J.R.; Bautista, J.; Moreno, I. Impact of Pesticide Exposure among Rural and Urban Female Population. An Overview. Int. J. Environ. Res. Public Health 2021, 18, 9907. [Google Scholar] [CrossRef] [PubMed]
  6. Scott, N.B.; Pocock, N.S. The Health Impacts of Hazardous Chemical Exposures among Child Labourers in Low-and Middle-Income Countries. Int. J. Environ. Res. Public Health 2021, 18, 5496. [Google Scholar] [CrossRef] [PubMed]
  7. Lekei, E.E.; Ngowi, A.V.; London, L. Farmers’ knowledge, practices and injuries associated with pesticide exposure in rural farming villages in Tanzania. BMC Public Health 2014, 14, 389. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Gesesew, H.A.; Woldemichael, K.; Massa, D.; Mwanri, L. Farmers Knowledge, Attitudes, Practices and Health Problems Associated with Pesticide Use in Rural Irrigation Villages, Southwest Ethiopia. PLoS ONE 2016, 11, e0162527. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. Dhananjayan, V.; Ravichandran, B.; Panjakumar, K.; Kalaiselvi, K.; Rajasekar, K.; Mala, A.; Avinash, G.; Shridhar, K.; Manju, A.; Wilson, R. Assessment of genotoxicity and cholinesterase activity among women workers occupationally exposed to pesticides in tea garden. Mutat. Res. Toxicol. Environ. Mutagen. 2019, 841, 1–7. [Google Scholar] [CrossRef]
  10. Eddleston, M.; Karalliedde, L.; Buckley, N.; Fernando, R.; Hutchinson, G.; Isbister, G.; Konradsen, F.; Murray, D.; Piola, J.C.; Senanayake, N.; et al. Pesticide poisoning in the developing world—A minimum pesticides list. Lancet 2002, 360, 1163–1167. [Google Scholar] [CrossRef]
  11. Dhananjayan, V.; Ravichandran, B. Occupational health risk of farmers exposed to pesticides in agricultural activities. Curr. Opin. Environ. Sci. Health 2018, 4, 31–37. [Google Scholar] [CrossRef]
  12. Mokhele, T. Potential health effects of pesticide use on farmworkers in Lesotho. S. Afr. J. Sci. 2011, 107, 1–7. [Google Scholar] [CrossRef] [Green Version]
  13. Sarkar, S.; Gil, J.D.B.; Keeley, J.; Jansen, K. The Use of Pesticides in Developing Countries and Their Impact on Health and the Right to Food. European Union. 2021. Available online: https://www.europarl.europa.eu/cmsdata/219887/Pesticides%20health%20and%20food.pdf (accessed on 12 January 2022).
  14. SEDI. Report on Pesticide and Highly Hazardous Pesticide (HPPs) in Nigeria. 2021. Available online: https://ipen.org/sites/default/files/documents/sedi_nigeria_hhps_report_2021.pdf (accessed on 12 January 2022).
  15. Keifer, M.C. Effectiveness of interventions in reducing pesticide overexposure and poisonings. Am. J. Prev. Med. 2000, 18, 80–89. [Google Scholar] [CrossRef]
  16. Jallow, M.F.; Awadh, D.G.; Albaho, M.S.; Devi, V.Y.; Thomas, B.M. Pesticide Knowledge and Safety Practices among Farm Workers in Kuwait: Results of a Survey. Int. J. Environ. Res. Public Health 2017, 14, 340. [Google Scholar] [CrossRef] [Green Version]
  17. Karunamoorthi, K.; Mohammed, M.; Wassie, F. Knowledge and practices of farmers with reference to pesticide management: Implications on human health. Arch. Environ. Occup. Health 2012, 67, 109–116. [Google Scholar] [CrossRef] [PubMed]
  18. Negatu, B.; Kromhout, H.; Mekonnen, Y.; Vermeulen, R. Use of Chemical Pesticides in Ethiopia: A Cross-Sectional Comparative Study on Knowledge, Attitude and Practice of Farmers and Farm Workers in Three Farming Systems. Ann. Occup. Hyg. 2016, 60, 551–566. [Google Scholar] [CrossRef] [PubMed]
  19. Ntow, W.J.; Gijzen, H.J.; Kelderman, P.; Drechsel, P. Farmer perceptions and pesticide use practices in vegetable production in Ghana. Pest Manag. Sci. 2006, 62, 356–365. [Google Scholar] [CrossRef] [PubMed]
  20. Ogunjimi, S.I.; Farinde, A.J. Farmers’ knowledge level of precautionary measures in agro-chemicals usage on cocoa production in Osun and Edo States, Nigeria. Int. J. Agric. For. 2012, 2, 186–194. [Google Scholar] [CrossRef] [Green Version]
  21. London, L.; De Grosbois, S.; Wesseling, C.; Kisting, S.; Rother, H.A.; Mergler, D. Pesticide Usage and Health Consequences for Women in Developing Countries: Out of Sight out of Mind? Int. J. Occup. Environ. Health 2002, 8, 46–59. [Google Scholar] [CrossRef] [PubMed]
  22. Naidoo, S.; London, L.; Burdorf, A.; Naidoo, R.; Kromhout, H. Spontaneous miscarriages and infant deaths among female farmers in rural South Africa. Scand. J. Work. Environ. Health 2011, 37, 227–236. [Google Scholar] [CrossRef] [Green Version]
  23. English, R.G.; Perry, M.; Lee, M.M.; Hoffman, E.; Delport, S.; Dalvie, M.A. Farm residence and reproductive health among boys in rural South Africa. Environ. Int. 2012, 47, 73–79. [Google Scholar] [CrossRef]
  24. Mrema, E.J.; Ngowi, A.V.; Kishinhi, S.S.; Mamuya, S.H. Pesticide Exposure and Health Problems among Female Horticulture Workers in Tanzania. Environ. Health Insights 2017, 11, 1–13. [Google Scholar] [CrossRef] [PubMed]
  25. Lekei, E.E.; Ngowi, A.V.; London, L. Pesticide retailers’ knowledge and handling practices in selected towns of Tanzania. Environ. Health 2014, 13, 79. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Rother, H.-A.; Hall, R.; London, L. Pesticide use among emerging farmers in South Africa: Contributing factors and stakeholder perspectives. Dev. S. Afr. 2008, 25, 399–424. [Google Scholar] [CrossRef]
  27. WHO. Recommended Classification of Pesticides by Hazard and Guidelines to Classification, 2019 ed.; World Health Organization: Geneva, Switzerland, 2019; Available online: https://www.who.int/publications/i/item/9789240005662 (accessed on 23 February 2022).
  28. Sosan, M.B.; Akingbohungbe, A.E. Occupational Insecticide Exposure and Perception of Safety Measures among Cacao Farmers in Southwestern Nigeria. Arch. Environ. Occup. Health 2009, 64, 185–193. [Google Scholar] [CrossRef] [PubMed]
  29. Ngowi, A.V.; Maeda, D.N.; Wesseling, C.; Partanen, T.J.; Sanga, M.P.; Mbise, G. Pesticide-handling practices in agriculture in Tanzania: Observational data from 27 coffee and cotton farms. Int. J. Occup. Environ. Health 2001, 7, 326–332. [Google Scholar] [CrossRef]
  30. Mekonnen, Y.; Agonafir, T. Pesticide sprayers’ knowledge, attitude and practice of pesticide use on agricultural farms of Ethiopia. Occup. Med. 2002, 52, 311–315. [Google Scholar] [CrossRef] [Green Version]
  31. Dasgupta, S.; Meisner, C.; Nlandu, M. Pesticide Traders’ Perception of Health Risks: Evidence from Bangladesh; Policy Research Working Paper No. 3777; World Bank: Washington, DC, USA, 2005; Available online: https://openknowledge.worldbank.org/handle/10986/8570 (accessed on 17 April 2021).
  32. Toe, A.M.; Ouedraogo, M.; Ouedraogo, R.; Ilboudo, S.; Guissou, P.I. Pilot study on agricultural pesticide poisoning in Burkina Faso. Interdiscip. Toxicol. 2013, 6, 185–191. [Google Scholar] [CrossRef]
Table 1. Pesticide Knowledge, Attitude, and Practice Domains: Reliability and Means.
Table 1. Pesticide Knowledge, Attitude, and Practice Domains: Reliability and Means.
SNPesticide KAP DomainNo of ItemsCronbach’s AlphaLikert Scale RangeMean ± SD
1Pesticide Knowledge9 0.8611–31.53 ± 0.6266
2Pesticide Attitude130.7881–52.84 ± 0.9056
3Pesticide Personal Protective Practices (PPP)100.9401–31.57 ± 0.4704
4Pesticide Application and Storage Practices (ASP)110.8691–21.92 ± 0.8244
Table 2. Sociodemographic Characteristics of the Study Population.
Table 2. Sociodemographic Characteristics of the Study Population.
VariableCategoryn%
Age group
<203512.3
20–308529.8
31–405820.4
41–506723.5
51–60269.1
>60144.9
Gender
Male17662.4
Female9132.3
Prefer not to say155.3
Highest level of education
No formal education3512.4
Primary school3010.6
Secondary9834.6
Tertiary12042.4
Smoking habit
Smoker2911.3
Never smoked19174.6
Quit smoking3614.1
Number of years working with pesticide on farm
1–531.1
6–109633.7
11–1510035.1
16–206723.5
>20196.7
Work shift on farm
Full day15356.9
Half day11643.1
Do you practice wet- and dry-season farming?
Yes, I practice both18063.2
No, wet season only 8529.8
No, dry season only207.0
How often do you apply pesticide per cropping season?
Once2811.2
Twice9538.0
Thrice6124.4
More than three times6626.4
What land-tenure system do you presently hold?
Landowner9433.9
Private11441.2
Government3613.0
Communal land tenure3311.9
What is your farm size?
Less than 1 hectare10640.6
More than 1 hectare15559.4
Table 3. Inventory of pesticide types used during the last two farming seasons.
Table 3. Inventory of pesticide types used during the last two farming seasons.
Pesticides Used or Applied Before (N = 285)Percentage* WHO ClassificationManufacturer Health Hazard ClassificationChemical Group
Malathion (Malataf) #41.8IIIH302, H317, H410Organophosphate
Paraquat (Weedcrusher) #53.0IIH311, H330, H315, H410Dipyridilium derivative
Atrazine (Delzine, Atrataf, Atraforce, Xtrazine) #51.6IIIH317, H373, H410Triazine derivative
Butachlor (Butaclear, Risene, Teer, Butaforce, Cleweed) #44.2IIIH302, H411Chloroacetanilides
Glyphosate (Round-up, Wipeout, Clearweed, Bushfire) #49.8IIH312, H318, H411Organophosphorus
Basagran (Basagran) #29.5IIH302, H319, H317, H412Dithiocarbamate
Lambda-cyhalothrin (Karate Laraforce, Attack, Karto, Zap) #52.3IIH304, H315+H320, H332, H371, H410Pyrethroids
Propanil (Propacare, Propan, Rhonil, Orizo, Propaforce) #36.5IIH302, H400, H411Oxadiazon
Pendimethalin (Stomp, Pendilin) #28.4IIH304, H317, H410
Oxidiazon (Ronstar, Riceforce, Unicrown) #33.3IIH304, H315, H336, H410Oxadiazole
Mancozeb (Z-force, Hi-shield, Mancozeb, Mycotrin) #42.8UH317, H361d, H400Dithiocarbamate
Dichlorvos (Smash, Wonder, Shooter, Nopest, DDforce, VIP) #29.8IH225, H301, H311, H317, H331, H370, H400Organophosphate
Cypermethrin (Suraksha, Superthrin, Best, Cymbush, Cypercot) #43.9IIH301, H317, H332, H335, H410Organochlorine
2,4-D Amine (Aminoforce, Delmin-forte, 2,4-D-Amine, Select) #49.1IIH302, H312, H332Organochlorine
Dimethoate (Perfekthion, Cygon, Rogor, Daphene, Racelate) #41.8IIIH226, H302, H331, H317, H400, H411Organophosphate
Thiamethoxam (Helix XTra, Cruiser)44.2IIIH302, H400, H410Neonicotinoid
Sevin (Tricarnam, Carbaryl, Vetox, Ravyon)75.8IIIH302, H312, H332Organic carbamate
# Common trade name of products. * WHO classification: I, highly hazardous; II, moderately hazardous; III, slightly hazardous; U, unlikely to present acute hazard in normal use.
Table 4. Prevalence of Symptoms of Pesticide Intoxication among Farmers.
Table 4. Prevalence of Symptoms of Pesticide Intoxication among Farmers.
SNSymptoms after Pesticide Application/UsePercentage
1Headache56.1
2Dizziness56.5
3Skin irritation53.3
4Vomiting45.6
5Nausea37.5
6Itchy eyes40.7
7Coughing45.3
8Stomach ache42.8
9Poor vision29.8
10Shortness of breath35.1
11Excessive sweating36.1
12Weakness or fatigue45.6
13Diarrhoea33.3
14Restlessness23.5
15Excessive salivation44.2
16Chemical burns on the skin46.0
17Mental confusion21.8
18Muscular twitching29.5
19Increased rate of breathing24.6
20Extra phlegm or mucus in the airways22.8
Table 5. Respondents’ awareness of pesticide safety and route of exposure.
Table 5. Respondents’ awareness of pesticide safety and route of exposure.
VariablesTotal (n = 285)
n%
Pesticide can affect human health (n = 281)25691.1
Pesticide can affect livestock health (n = 281)22679.6
Pesticide can affect the environment (n = 284)19669
Storage of pesticides safely (n = 282)17361.7
I have knowledge of how best to dispose of expired pesticide/residue (n = 284)15654.9
Personal protection usage (n = 284)18063.4
Safe application of pesticide on farm (n = 284)17862.7
Consult label/safety data sheet supplied (n = 285)16557.9
I talk while mixing or spraying (n = 246)14759.8
I eat kola nut/food while mixing or spraying (n = 239)3113
I consume water while mixing or spraying (n = 239)3113
I smoke while mixing or spraying (n = 242)4317.8
Storage of pesticide at home (n = 258)20278.3
Stir/scoop pesticide with hands (n = 238)7431.1
Spray pesticide along wind direction (n = 239)18075.3
Use of empty pesticide container for other purposes/use in the house/farm (n = 262)10138.5
If the nozzle gets blocked, I blow it with my mouth to get the clog out (n = 262)11239.3
Supposed exposure route of pesticide poisoning (n = 285)
Dermal/skin16056.1
Oral/mouth17360.7
Eye14651.2
Inhalation16156.5
Secondary route (drinking water/food)11038.6
Table 6. Spearman’s rho correlations between sets of variables considered.
Table 6. Spearman’s rho correlations between sets of variables considered.
Items/VariablesStat
Parameter
12345678910
Pesticide safety Knowledge of farmers (1)R1.000
p-Value.
Pesticide safety Attitude of farmers (2)R−0.195 **1.000
p-Value0.001.
Pesticide application and storage practice (3)R0.525 **−0.245 **1.000
p-Value0.0000.000.
Personal protective practice use (4)R0.1020.075−0.0321.000
p-Value0.0990.2260.614.
Age group (5)R−0.0710.061−0.0440.0711.000
p-Value0.2320.3020.4710.250.
Gender (6)R0.439 **−0.0860.238 **−0.029−0.0441.000
p-Value0.0000.1510.0000.6370.457.
Education (7)R−0.302 **0.040−0.276 **−0.0830.179 **0.0891.000
p-Value0.0000.5020.0000.1800.0030.138.
Years working with pesticide on farm (8)R0.110−0.0780.095−0.0660.406 **0.125 *0.0631.000
p-Value0.0630.1890.1170.2860.0000.0350.289.
Work shift on farm (9)R0.099−0.1120.165 **−0.245 **0.0190.221 **0.253 **0.0511.000
p-Value0.1040.0660.0080.0000.7580.0000.0000.401.
Wet- and dry-season farming (10)R0.268 **−0.0480.140 *0.0330.0690.326 **−0.0060.1000.243 **1.000
p-Value0.0000.4200.0210.5990.2440.0000.9220.0920.000.
**, Correlation is significant at the 0.01 level (2-tailed). *, Correlation is significant at the 0.05 level (2-tailed).
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Moda, H.M.; Anang, D.M.; Moses, N.; Manjo, F.M.; Joshua, V.I.; Christopher, N.; Doka, P.; Danjin, M. Pesticide Safety Awareness among Rural Farmers in Dadinkowa, Gombe State, Nigeria. Int. J. Environ. Res. Public Health 2022, 19, 13728. https://doi.org/10.3390/ijerph192113728

AMA Style

Moda HM, Anang DM, Moses N, Manjo FM, Joshua VI, Christopher N, Doka P, Danjin M. Pesticide Safety Awareness among Rural Farmers in Dadinkowa, Gombe State, Nigeria. International Journal of Environmental Research and Public Health. 2022; 19(21):13728. https://doi.org/10.3390/ijerph192113728

Chicago/Turabian Style

Moda, Haruna Musa, Daniel Mensah Anang, Newton Moses, Felix Mandoli Manjo, Victoria Ibukun Joshua, Nwadike Christopher, Paulina Doka, and Mela Danjin. 2022. "Pesticide Safety Awareness among Rural Farmers in Dadinkowa, Gombe State, Nigeria" International Journal of Environmental Research and Public Health 19, no. 21: 13728. https://doi.org/10.3390/ijerph192113728

APA Style

Moda, H. M., Anang, D. M., Moses, N., Manjo, F. M., Joshua, V. I., Christopher, N., Doka, P., & Danjin, M. (2022). Pesticide Safety Awareness among Rural Farmers in Dadinkowa, Gombe State, Nigeria. International Journal of Environmental Research and Public Health, 19(21), 13728. https://doi.org/10.3390/ijerph192113728

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop