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Low levels of knowledge and practice of occupational hazards among flower farm workers in southwest Shewa zone, Ethiopia: a cross-sectional analysis

Abstract

Background

Over the last decade, flower farms have been rapidly growing in Ethiopia. Following the advent and development of the sector, various work-related chemical, biological, physical, psychosocial, and ergonomic hazards have been emerging unacceptably, with increased risks of exposures for workers and local communities. However, evidence that describes knowledge and prevention practice of occupational hazards among flower farm workers in the country is little documented. The knowledge and safety practice of occupational hazards among flower farm workers in Ethiopia were explored in the current study.

Methods

A cross-sectional survey of 471 flower farm workers was implemented from March to April 2017. A stratified random sampling technique was used to select the eligible participants. An interviewer-administered questionnaire was used to collect data, and the data were entered in to Epi Info program version 7 and analyzed by SPSS program version 20. Bivariate and multivariate linear regression analyses were performed to evaluate significance of associations at < 0.05 p-values.

Results

A total of 451 flower farm workers were interviewed with a response rate of 95.7%. The majority, 72.1% (N = 325) were females. Mean age was 24.1 (SD + 6.5) years. About 39.2% (N = 177) of the participants had good knowledge on occupational hazards. The level of safety practice was 26.6% (N = 120). The level of knowledge on occupational hazards was affected by level of education [AOR: 20.03;95% CI (16.30,23.75)], work experience [AOR: 5.97; 95% CI (4.22,7.72)], and type of employment [AOR: 5.35; 95% CI (2.50,8.19)], whereas the level of safety practice was influenced by regular use of personal protective equipment (PPE) [AOR:17.53;95% CI (13.36,21.71)], level of knowledge [AOR: 7.29; 95% CI (3.87,10.73)], and provision of appropriate PPE [AOR: 4.59; 95% CI (2.34,8.86)].

Conclusion

This study revealed the levels of knowledge and safety practice towards occupational hazards were low. The knowledge on occupational hazards was significantly affected by the level of education and duration of employment. Moreover, the use of PPE and level of knowledge considerably influenced safety practice. Therefore, we recommend employers to ensure that workplace health and safety programs account for workers’ level of education and work experience. It is also pivotal to provide workers witha suitable PPE and instructions on its use, and to arrange safety communication in the local languages at the relevant workplaces.

Peer Review reports

Background

In Ethiopia, flower farms have been rising extensively over the last decade [1]. The reasons for the rapid growth of the sectors include favorable climate, government support, proximity to the global market, readily available transportation services, favorable investment policies, and abundant and cheap labor force in the country [2, 3]. The industry has made a significant contribution to the national economy through the export of cut flowers and creation of employment opportunities [4, 5]. Working with the flower farm industries, however, presents several safety and health challenges [1, 5, 6]. For example, hazards associated with the industry premises sucha as chemical, biological, physical, psychosocial, and ergonomic hazards have been emerging unacceptably, with increased risks of exposures for workers and the surrounding communities [7]. Moreover, vulnerable groups of workers, including a large number of young men and women and daily laborers often engage in harsh environmental conditions like excessive heat and cold for long working hours, and they also work with various hazardous chemical pesticides [1, 8, 9].

According to the International Labour Organization (ILO), each year, about 2.3 million workers die because of occupational accidents and diseases, whereas 337 million suffer from it [10]. Flower industries are the major sources of these accidents and diseases due to various occupational and environmental hazards related to them [11]. Working in flower farm industries, therefore, exposes employees to various adverse health outcomes including respiratory, neurological, and dermal symptoms [5, 12,13,14,15,16].

Chemical fertilizers and pesticides are used intensively in Ethiopia, in parallel with the expansions of agricultural sectors [1, 2, 4]. Because health and safety enforcement in Ethiopia is relatively weak, practice to handle and safe procedure to use those chemicalsis often rarely observed. Besides, employees working with the chemicals usually lack knowledge and skill due to shortage of training and awareness on the hazards associated with the chemicals [4]. Further, the use of and access to appropriate personal protective equipment (PPE) in these industries is often limited [5, 15].

Several factors notably influence the knowledge and safety practice of workers on workplace hazards. For example, the level of knowledge on occupational hazards is significantly related to level of education [17]. Knowledge of workers on occupational hazards is also affected by safety trainings and job tenure [18]. Similarly, the level of safety practice is influenced by socio demographic factors including age [17]. Safety practice has also a remarkable relation with the level of knowledge [5, 19].

To date, the health and working conditions of workers [4, 5, 14] and the environmental impacts of flower farms in Ethiopia have been discussed [15, 20]. However, there is a scarce research and minimal information on the knowledge and practice of occupational hazards. Therefore, this study investigated the knowledge and practices of occupational hazards as well as their associated factors among flower farm workers in Ethiopia. Exploring the diverse factors that determine the levels of knowledge and prevention and control practices of occupational hazards is central to public health programs.

Methods

Study design

Flower farms based cross-sectional survey.

Study area and period

This study was conducted in Southwest Shewa zone, National Regional State of Oromia, Ethiopia, from March to April 2017. Southwest Shewa zone is one of the zones of the National Regional State of Oromia, Central Ethiopia. Wolliso, the capital of the zone, is an ideal place for investment activities, particularly agroindustry. The town is 114 km from Addis Ababa, the capital of Ethiopia, and it has 12 districts and town administration. At the time of data collection, there were over 25 industries in the area, of which five were flower farms. Moreover, during data collection period, there were about 1500 employees working in the flower farm industries.

Populations

All workers in the flower farms in Southwest Shewa zone were the source population, whereas those who met the inclusion criteria and available during data collection were the study population.

Inclusion and exclusion criteria

Employees who had worked 3 months and above prior to the data collection were included, while those who were sick, on annual and maternity leaves were excluded.

Sample size determination and sampling procedures

Epinfo program version 7 was used to calculate the required sample. We derived the levels of knowledge and safety practice of occupational hazards from previous studies [6, 21, 22]. Accordingly, proportions of 72.9 and 76.3% with a Confidence Interval (CI) of 95 and 5% margins of error were presumed and 268 and 248 samples were calculated for the levels of knowledge and safety practice, respectively. Similarly, for each specific objective, three associated factors including training on workplace conditions (43.1% prevalence and 3.5 Odds Ratio (OR) with a CI of 95%), not using PPE (30.2% prevalence and 4.065 OR with a CI of 95%), and not using shower (43% prevalence and OR 0.569 with a CI of 95%) were taken from the aforementioned studies to attain 118, 136 and 428 samples, respectively. Finally, we took the largest sample size (428) to ensure the adequacy of the sample for statistical power. We assumed a 10% for none response rates which gave the final sample of 471.

The stratified sampling technique was employed, considering that the populations in each selected industry were heterogeneous. The five floriculture industries were included purposively to attain the required sample. A proportional allocation was used to derive sample from each stratum. Finally, using the lists of workers’ identification numbers provided them by the industries, we applied a computer-generated random number to reach each participant.

Data collection tools and quality assurance

Data were collected by use of a structured and interviewer-administered questionnaire. We developed the questionnaire after a meticulous review of published works [17, 23,24,25,26,27]. The questionnaire has four sections. The first section contains socio-demographic characteristics including sex, age, educational status, profession, marital status, and work experience. The second, included questions related to the level of knowledge on occupational hazards. The third and fourth sections provided detailed information on safety practices and factors affecting the levels of knowledge and safety practice (dependent variables), respectively. To assess the level of knowledge, detailed lists of knowledge questions (14 items such as knowledge on safety communication (safety labels, symbols, pictograms, guidelines), material safety data sheets (MSDS), healthy effects of hazards, and routes of exposures) were presented. Responses to the questions are coded such that correct answers (Yes) scored one and incorrect (No) zero. Knowledge score was then categorized as not knowledgeable for < 50% and knowledgeable for > 50% correct responses from the overall scores [27].

A questionnaire containing 16 items was administered to assess the level of safety practice and the scores were categorized as poor for < 50% and good practice for > 50% correct (Yes) responses out of the total scoring [26]. The questionnaire was first prepared in English and translated to Afan Oromo (the local language) and retranslated to English by independent language experts to verify its consistency. Finally, the Afan Oromo version of the questionnaire was interviewer-administered to the participants at their work sites. Moreover, we designed a standard checklist to evaluate workplace hazards and observe employees’ onsite safety practice.

To ensure the quality of data, first, a pretest was conducted on 5% of the sample (48 workers) in flower farm at Sebeta flower farm, which have similar characteristics as those included in the final survey. Based on the test results, we reduced the number of questions (without changing what was intended to be measured) to minimize the time needed for interviews, and we modified ambiguous questions. Secondly, training and orientation was given to data collectors (2 females, 4 males) and two supervisors on issues relating to the objectives of the study, confidentiality of data, consent and appropriate time for data collection.

Data processing and analysis

The collected data were entered into Epi-info version 7 tocleanand code the collected data. Double entry was performed with 10% data to verify errors that couldoccur during the entireentry process. The data were analyzed with SPSS program version 20. The findings were presented using descriptive statistics includingfrequency tables, graphs, percentages, means with standard deviations. Knowledge and practice questions were marked with ‘0’ for ‘No ‘and ‘1’ ‘Yes’ response.

We checked the reliability of the knowledge and practice items using a Cronbach’s Alpha Coefficient. As such, the knowledge questions yielded a Coefficient of 0.78, while that of the practice 0.81. It was previously shown that a Cronbach’s Alpha Coefficient of a given instrument is considered reliable if it is > 0.65. Before running the multivariable linear regression analysis in the final model, linearity, normality, outliers, autocorrelation, multicollinearity and independence of errors/residues of the variables were also examined. The multicollinearity test was done using variable inflation factor (VIF) and all variables showed VIF < 5. A bivariate linear regression analysis was performed to examine associations of each independent variable and knowledge and practice separately. Independent variables with < 0.2 p-values in this type of analysis were exported to the multivariable linear regression analysis to control effects of potential confounders. We set the significance of associations at < 0.05 p-values, while adjusted odds ratio (AOR) with 95% confidence interval (CI) was used to determine the strength of associations.

Results

Socio-demographic characteristics of the respondents

A total of 451 flower farm workers were interviewed with a response rate of 95.7%. Seventy-two percent (N = 325) of those surveyed participants were females. Mean age of the participants was 24.1 (SD + 6.5) years. Of the interviewees, 86.3% (N = 389) of them were Oromo, 8.0% (N = 36) Gurage, and 5.7% (N = 26) Amhara. The majority, 54.8% (N = 247) of the participants were urban, while 45.2% (N = 204) were rural residents. More than half, 46.8% (N = 211) of the interviewees were temporary and the remaining were permanent workers. With respect to monthly salary, 58.9% (N = 266) of the workers earned less than 1500 ETB (50 USD) per month. More than half, 58.1% (N = 262) worked in closed and hot conditions, whereas 22.4% (N = 101) of the participants worked in open and hot environments (Table 1).

Table 1 Socio-demographic characteristics of flower farm workers, Ethiopia, 2017

Organizational and behavioral characteristics

Figure 1 shows that almost all, 92.2% (N = 416) of the respondents had no regular supervisions and communication on safe work procedures; 86.5% (N = 390) worked without health and safety instructions, symbols and pictograms; 82.7% (N = 374) reported there were no programs for health and safety at work.

Fig. 1
figure1

Organizational and behavioral characteristics of the participants

Level of knowledge on occupational hazards

Of the participants, 39.2% (N = 177) [95% CI (34.8, 43.9)] showed that they had a good level of knowledge (knowledgeable), whereas 60.8% (N = 274) [95% CI (56.1, 65.2)] of the participants scored poor (not knowledgeable) on occupational hazards. The mean knowledge score was 7.15 (SD + 1.896). Of the participants, 50.6% (N = 228) revealed they had no information about the hazards associated with their current jobs. A lower proportion, 38.6% (N = 174) of the sampled workers indicated that their sources of information about occupational hazards was experienced co-workers; 25.1% (N = 97) guidelines provided by the manufacturer, and 24.8% (N = 112) trainings. Out of the respondents, about 42.4% (N = 191) pointed out they knew the presence of chemical hazards, while 36.8% (N = 166) and 26.6% (N = 120) of them knew the presence of physical and psychosocial hazards, respectively. Table 2 depicts knowledge responses of the participants towards occupational hazards.

Table 2 knowledge related responses of the participants, Ethiopia, 2017 (N = 451)

The level of safety practice relating to occupational hazards

The overall level of safety practice was 26.6% (N = 120). About 68.3% (N = 308) of the respondents explained they correctly used health and safety communication; 57.2% (N = 258) reported sudden occurrences/events; 53.2% (N = 240) properly used information and work materials provided by the industries and 53.0% (N = 239) of the surveyed workers stated that they used health and safety instructions. Regarding the use of personal protective equipment (PPE), 60.1% (N = 271) of the respondents indicated they did not use it regularly. Few workers, 4.4% (N = 20) observed they used full body protection, while 36.1% (N = 163) reported they used gloves (Fig. 2). Moreover, 61.4% (N = 277) of the participants reported that waste emitted from the flower farms was not properly disposed; 60.8% (N = 274) of the workers did things not recommended such as eating, drinking, not washing hands after work, smoking, taking and washing PPE at home, used empty chemical, fertilizer and other raw material containers for water storage at home and selling. Table 3 describes practice responses of the participants towards occupational hazards.

Fig. 2
figure2

The types of PPE used byworkers

Table 3 Practice related responses of the participants (N = 451), Ethiopia, 2017

Findings of workplace observations

We observed majority of the workers did their daily jobs without using PPE. Of those workers who sprayed chemicals, only a few workers wear PPE, but they did not follow the direction of winds. The shortage offacilities such as drinking water, shower, toilets, and hand washing facilities were noticed in the firms. Therewere no warning signs at the entrance, particularly in the green house department. In the cold room department, both female and male workers had been working without the use of PPE. In many circumstances, chemical sprayers, supervisors and their assistants did not consider wind directions. The reasons mentioned were lack of awareness of how to work with chemicals, lack of PPE provision based on the importance and nature of activities and the limited supply of PPE itself made it difficult to replace when it was damaged by chemicals (Fig. 3).

Fig. 3
figure3

Workers’ practice of safety on duty

Factors associated with level of knowledge on occupational hazards

The bivariate linear regression analysis showed that there was statistically significant association between the knowledge of occupational hazards and sex, age, residence, type of employment, employment duration, level ofeducation status health and safety training and orientation, and safety instructions in local language. The multivariate regression analysis identified that level of education, type of employment and work experience were factors that considerably affected the level of knowledge on occupational hazards. The level of knowledge onoccupational hazards was more likely to increase by a factor of 20.03 for respondents who had diploma and higher education than those who had no formal education [AOR: 20.03; 95% CI (16.30, 23.75)]. Respondents with > 2 years of work experience were 5.97 times more likely to be knowledgeable about workplace hazards than those who had < 2 [AOR: 5.97: 95% CI (4.22, 7.72)]. Knowledge on occupational hazards was 2.34 times more likely to increase among participants who received health and safety trainings than those who did not [AOR: 2.34; 95% CI (1.73, 3.95)] (Table 4).

Table 4 Factors affecting the level of knowledge on occupational hazards (N = 451), 2017, Ethiopia

Factors associated with level of safety practice

In the bivariate linear regression analysis, level of education, work experience, conditions of employment, health and safety trainings, presence of safety communications/signs, like symbols and labels in the local language, observance of work rules and regulations, regular communication and supervision on health and safety, use of material safety data sheets, provision of comfortable PPE, knowledge on occupational hazards and regular use of PPE were factors significantly associated with the level of safety practice.

In the multivariate linear regression analysis, the provision of comfortable PPE, regular use and storage of PPE, presence of safety communications/signs, and knowledge on workplace hazards markedly influenced workers’ level of safety practice. The provision of PPE increased the levels of safety practice 4.59 times more likely compared to no provision of it [AOR: 4.59; 95% CI (2.34, 6.86)]. The level of safety practice was 5.15 times higher for respondents who worked where health and safety communications available than in the absence of such communications [AOR: 5.15; 95% CI (1.81, 8.49)]. The level of safety practice was 7.29 times higher for participants who had knowledge on occupational hazards than those who had not [AOR: 7.29; 95% CI (3.87, 10.73)] (Table 5).

Table 5 Factors associated with the level of safety practice (N = 451), 2017, Ethiopia

Discussion

Recognizing the health and safety barriers and facilitators is a key to the successful implementation of health and safety programs. In this cross-sectional survey, we assessed the knowledge and practice of occupational hazards and their associated factors among flower farm workers in Southwest Shewa zone, National Regional State of Oromia, Ethiopia. The finding of this study shows that the levels of knowledge and safety practice were 39.2% (N = 177) [95% CI (34.8, 43.9)] and 26.6% (N = 120) [95% CI (22.6, 30.6)], respectively. Our results suggest that more than half of the participants (60.8%) were not knowledgeable and the majority (73.4%) had poor preventive practice of workplace hazards. This could be because in Ethiopia, despite the inaugurations of few promising initiatives on health and safety enforcement, and its coverage since the past decade, the practical implementation yet remains indescribable.

In this investigation, the level of knowledge on occupational hazards was comparable to that of a study report in Palestine (42%) [27]. This similarity may be because the implementation of health and safety programs such as health and safety training, compliance with available safety standards and regulations, and health and safety policy development are generally substandard in developing countries. The result was, however, lower compared to those of studies conducted in Ethiopia (72%) [28], India (70%) [29] and Mexico (50%) [30]. The possible reason could be because of differences in methods of data collection and study populations. Other possible explanations might be because of differences in access to health and safety services, available regulations on safety and health enforcement, and workplace safety culture.

In the current study, the level of safety practice was 26.6% (N = 120) [95% CI (22.6, 30.6)]. This result was lower compared to that of a study conducted in Jamaica (36.7%) [31], China (32.3%) [32], Brazil (80%) [23], India (60%) [29], the Philippines (91%) [33], Palestine (63.5%) [27], and the Amazon Basin (99.1%) [34]. Possible suggestions for these differences might be because of variations in access to policies on health and safety regulations and standards at farm level as well as socio-economic and cultural distinctions across countries.

Our analysis demonstrated that the level of knowledge of workerson occupational hazards was significantly influenced by the level of education. This result was supported by studies conducted in Ethiopia [15], Tanzania [22, 35], Kenya [36], Palestine [27], and Nepal [37]. The possible explanation could be that education could improve understanding of workers and foster a culture of safety in the workplace. Further, education can make life easier and boosts a means of communication for acquiring knowledge. The results from the studies conducted in Tanzania [22], Jamaica [31], and India [38] were inconsistent with our finding. This might be due to differences in socio-economic characteristics of the workers, data collection techniques, and sample sizes.

In the current analysis, the length of employment/work experience was considerably related to the level of knowledge of the participants. This result confirms the studies in Palestine [27], Nepal [37], and the Amazon Basin, Ecuador [34] but disagrees with that of a study in India [38]. The length of employment can increase exposure of workers to a variety of workplace hazards. This, in turn elevates the awareness, anticipation, and recognition of workers about hazards over the years.

We found the type of employment/permanent versus temporary/noticeably affected the knowledge of employees on workplace hazards. Similar findings have been documented in Palestine [27] and India [38]. A possible explanation is that permanent workers usually hold a good occupational status and are more likely to participate in trainings and other skill advancement opportunities. Another possible reason might be that workers with permanent contracts of employment are usually well trained with relatively high payments, which in turn enhance knowledge seeking behavior of workers.

Safety training was the other factor that considerably affected the knowledge of employees on workplace hazards. The findings in Brazil [24] and Jamaica [31] were in line with this result. The probable explanation may be that health and safety training is an important resource to improve anddevelop the capacity of workers to tackle risks associated with their careers. Our analysis, however, was discordant with that of a report in China [39] and the Philippines [33]. The possible reasons for these variations may be because of differences in access to health and safety trainings, the availability of agricultural-specific labor standards and regulations, sample sizes, study populations, methods of data collection, and analysis.

The lack of written health and safety instructions (for example, labels, symbols, pictograms) in the local languages showed a significant relation with the knowledge of workers. This was supported by the studies in Ethiopia [15], Jamaica [31], and Lesotho [21]. The possible explanation is that workers can easily understand and comply with the available safety instructions and guidelines without restrictions if those instructions and guidelines are presented in the native language of the workers at work. In Ethiopia, one can appreciate a diverse ethnic group with different languages in a particular workplace. While the national language is also available for work, the majority of essential safety communications and signs at the workplaces are often presented with the languages of those foreign investors. Employers and concerned officials in Ethiopia need to basically look at for this gap. However, our finding is contradictory to the literature in Tanzania [22] may be because of discrepancies in sampling procedures and study populations.

In this study, regular use and safe storage of PPE was significantly associated with safety practice. There have been concurrent findings from recent works in Tanzania [22], Palestine [27], and India [38]. Moreover, the knowledge of workers positively influenced level of safety practice. This finding agreed with those of reports in Palestine [27] and India [29]. Knowledge of workers on occupational hazards in a particular workplace would possibly strengthen the control mechanisms of those hazards.

In the current report, the result of multivariable linear regression analysis unveiled that safety communications importantly affected the level of safety practice. The reliable findings were documented in the studies in Zimbabwe [7] and Palestine [27]. This may explain that the availability of various safety communications at work would likely prompt employees to observe safety rules and regulations in their daily routines. Moreover, the provision of appropriate PPE was significantly associated with the level of safety practice. Comparable findings have been published in Zimbabwe [7], Tanzania [22], and Palestine [27].

The data used in this analysis werebased on self-reports of the workers. Therefore, constraints because ofa recall bias cannot be avoided. The recent (3 months) experiences of the workers have been gathered to reduce the effects. Second, due to the expediency of the authors, data on the attitude of the workers on occupational hazards were not obtained, which indeed, was not the aim of the study. However, we conclude that sufficient attention is paid to the most important elements of occupational hazards including knowledge and practice, which provide a better indicator for program implementer. Moreover, it might be difficult to explore the level of knowledge using quantitative data alone. Therefore, the other shortcomings of this analysis may be the lack of qualitatively triangulated data to investigate, for example, why the workers were not using PPE properly. Future investigations, therefore, had better focus on better data collection techniques, such as qualitative methods to explore knowledge related factors that influence safety practice of workers.

Conclusion

The study revealed the levels of knowledge and practice of occupational hazards were low. Knowledge on occupational hazards was significantly affected bythe level of education and duration of employment. Moreover, the use of PPE and level of knowledge considerably influencedsafety practice. Therefore, we recommend employers to ensure that workplace health and safety programs need to account for workers’ level of education and their work experience. It is also pivotal to provide workers witha suitable PPE and instructions on its use, and to arrange safety communication in the local language at relevant workplaces.

Availability of data and materials

Authors presented the data in the main paper and made available from the corresponding author on reasonable request.

Abbreviations

AOR:

Adjusted odds ratio

CI:

Confidence interval

CI:

Confidence interval

EOHS:

Environmental and Occupational Health and Safety

ILO:

International labor organization

Km:

Kilometers

MPH:

Masters of public Health

MSc:

Masters of Science

MSDS:

Materialsafety data sheets

OR:

Odds ratio

PPE:

Personal protective equipment

SD:

Standard deviation

SPSS:

Statistical package for social sciences

USD:

United States of America Dollar

References

  1. 1.

    Getu M. Defiance of environmental governance: environmental impact assessment in Ethiopian floriculture industry. J Environ Res Manage. 2013;4(4):219–29.

    Google Scholar 

  2. 2.

    Hatch N, Wells L. Multilevel environmental governance-the case of Ethiopian floriculture. In: environmental policy update; 2012.

    Google Scholar 

  3. 3.

    Mengistie B. Environmental governance of pesticides in Ethiopian vegetable and cut flower production: Wageningen University; 2016.

  4. 4.

    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(5):551–66.

    Article  Google Scholar 

  5. 5.

    Hanssen VM, Nigatu AW, Zeleke ZK, Moen BE, Bråtveit M. High prevalence of respiratory and dermal symptoms among Ethiopian flower farm workers. Arch Environ Occup Health. 2015;70(4):204–13.

    Article  Google Scholar 

  6. 6.

    Belwal R, Chala M. Catalysts and barriers to cut flower export: a case study of Ethiopian floriculture industry. Int J Emerg Mark. 2008;3(2):216–35.

    Article  Google Scholar 

  7. 7.

    Magauzi R, Mabaera B, Rusakaniko S, Chimusoro A, Ndlovu N, Tshimanga M, et al. Health effects of agrochemicals among farm workers in commercial farms of Kwekwe district, Zimbabwe. Pan Afr Med J. 2011;9(1):1–8.

    Article  Google Scholar 

  8. 8.

    Privett S, Krug R, Forbes G, Gaertner M. Wild flower harvesting on the Agulhas plain, South Africa: impact of harvesting intensity under a simulated commercial harvesting regime for two re-seeding and two re-sprouting fynbos species. S Afr J Bot. 2014;94(2014):270–5.

    Article  Google Scholar 

  9. 9.

    Mwase DE. Performance of floriculture industry in East Africa: what lessons can Tanzania learn from Kenya? Asian Business Rev. 2015;5(1):20–7.

    Article  Google Scholar 

  10. 10.

    Niu S. Ergonomics and occupational safety and health: an ILO perspective. Appl Ergon. 2010;41(6):744–53.

    Article  Google Scholar 

  11. 11.

    Lesmes-Fabian C, Binder C. Pesticide flow analysis to assess human exposure in greenhouse flower production in Colombia. Int J Environ Res Public Health. 2013;10(4):1168–85.

    Article  Google Scholar 

  12. 12.

    Adam-Poupart A, Labreche F, Smargiassi A, Duguay P, Busque M-A, Gagne C, et al. Climate change and occupational health and safety in a temperate climate: potential impacts and research priorities in Quebec, Canada. Ind Health. 2013;51(1):68–78.

    Article  Google Scholar 

  13. 13.

    Kangogo JK, Ngugi PK, Orwa GO. Effects of customer feedback on the sustainability of green supply chain system in the floriculture industry in Kenya. J Econ Sustain Dev. 2020;5(19):178–84.

    Google Scholar 

  14. 14.

    Nigatu AW, Bråtveit M, Deressa W, Moen BE. Respiratory symptoms, fractional exhaled nitric oxide & endotoxin exposure among female flower farm workers in Ethiopia. J Occup Med Toxicol. 2015;10(1):1–8.

    CAS  Article  Google Scholar 

  15. 15.

    Defar A, Ali AJ. Occupational induced health problems in floriculture workers in Sebeta and surrounding areas, west Shewa, Oromia, Ethiopia. Ethiop J Heal Dev. 2013;27(1):64–71.

    Google Scholar 

  16. 16.

    Negatu B, Kromhout H, Mekonnen Y, Vermeulen R. Occupational pesticide exposure and respiratory health: a large-scale cross-sectional study in three commercial farming systems in Ethiopia. BMJ Thorax. 2017;72(6):498–9.

    Google Scholar 

  17. 17.

    Nasab HS, Tavakoli R, Ghofranipour F, Kazemnejad A, Khavanin A. Evaluation of knowledge, attitude and behavior of workers towards occupational health and safety. Iran J Public Health. 2009;38(2):125–9.

    Google Scholar 

  18. 18.

    Asgedom AA, Bråtveit M, Moen BE. Knowledge, attitude and practice related to chemical hazards and personal protective equipment among particleboard workers in Ethiopia: a cross-sectional study. BMC Public Health. 2019;19(440):1–10.

    Google Scholar 

  19. 19.

    Ahmad I, Qadir S, Marwat M, Yasir M, Irfanullah M, Khan MA, et al. Knowledge, attitude and practice related to occupational health and safety among textile mills workers in Dera Ismail khan. Gomal J Med Sci. 2012;10(2):222–6.

    Google Scholar 

  20. 20.

    Nigatu AW, Bråtveit M, Moen BE. Self-reported acute pesticide intoxications in Ethiopia. BMC Public Health. 2016;16(575):1–8.

    Google Scholar 

  21. 21.

    Mokhele T. Potential health effects of pesticide use on farmworkers in Lesotho. S Afr J Sci. 2011;107(7):1–7.

    Google Scholar 

  22. 22.

    Lekei EE, Ngowi AV, London L. Farmers’ knowledge, practices and injuries associated with pesticide exposure in rural farming villages in Tanzania. BMC Public Health. 2014;14(389):1–13.

    Google Scholar 

  23. 23.

    Ribeiro MG, Colasso CG, Monteiro PP, Pedreira Filho WR, Yonamine M. Occupational safety and health practices among flower greenhouses workers from alto Tietê region (Brazil). Sci Total Environ. 2012;416:121–6.

    CAS  Article  Google Scholar 

  24. 24.

    Oliveira Pasiani J, Torres P, Roniery Silva J, Diniz BZ, Caldas E. Knowledge, attitudes, practices and biomonitoring of farmers and residents exposed to pesticides in Brazil. Int J Environ Res Public Health. 2012;9(9):3051–68.

    Article  Google Scholar 

  25. 25.

    Beyene Gebrezgiabher B, Tetemke D, Yetum T. Awareness of occupational hazards and utilization of safety measures among welders in Aksum and Adwa towns, Tigray region, Ethiopia, 2013. J Environ Public Health. 2019;2019:1.

    Article  Google Scholar 

  26. 26.

    Kumari PL, Reddy KGJJAVS. Knowledge and practices of safety use of pesticides among farm workers. J Agr Veter Sci. 2013;6(2):1–8.

    Google Scholar 

  27. 27.

    Sa’ed HZ, Sawalha AF, Sweileh WM, Awang R, Al-Khalil SI, Al-Jabi SW, et al. Knowledge and practices of pesticide use among farm workers in the West Bank, Palestine: safety implications. Environ Health Prev Med. 2010;15(4):252–61.

    Article  Google Scholar 

  28. 28.

    Karunamoorthi K, Mohammed A, Jemal Z. Peasant association member's knowledge, attitudes, and practices towards safe use of pesticide management. Am J Ind Med. 2011;54(12):965–70.

    Article  Google Scholar 

  29. 29.

    Francis MR, Raja L, Inbarani E, Regi H, Nicolas J, Paul N, et al. Perceptions of farmers’ and farmworkers’ wives on the use and hazards of agrochemicals in rural Vellore. New Solut. 2014;23(4):625–42.

    Article  Google Scholar 

  30. 30.

    Martínez-Luna G, Mejia-Sanchez F. Quality spermatic alterations in floriculturists exposed to pesticides in Villa Guerrero, state of Mexico. Am J Agr Forest. 2014;2(6):284–8.

    Google Scholar 

  31. 31.

    Henry D, Feola G. Pesticide-handling practices of smallholder coffee farmers in eastern Jamaica. J Agric Rural Dev Trop Subtrop. 2013;114(1):59–67.

    Google Scholar 

  32. 32.

    Zhang X, Zhao W, Jing R, Wheeler K, Smith GA, Stallones L, et al. Work-related pesticide poisoning among farmers in two villages of southern China: a cross-sectional survey. BMC Public Health. 2011;11(429):1–8.

    CAS  Google Scholar 

  33. 33.

    De Castro A, Cabrera SL, Gee GC, Fujishiro K, Tagalog EA. Occupational health and safety issues among nurses in the Philippines. AAOHN J. 2009;57(4):149–57.

    Article  Google Scholar 

  34. 34.

    Hurtig AK, Sebastián MS, Soto A, Shingre A, Zambrano D, Guerrero W. Pesticide use among farmers in the Amazon basin of Ecuador. Arch Environ Health. 2003;58(4):223–8.

    Article  Google Scholar 

  35. 35.

    Ngowi A, Mbise T, Ijani A, London L, Ajayi O. Smallholder vegetable farmers in northern Tanzania: pesticides use practices, perceptions, cost and health effects. Crop Prot. 2007;26(11):1617–24.

    CAS  Article  Google Scholar 

  36. 36.

    Odhong EA, Omolo J. An analysis of the factors affecting employee relations in the flower industry in Kenya, a case of Waridi ltd, Athi River. Int J Bus Soc Sci. 2014;5(11):147–60.

    Google Scholar 

  37. 37.

    Joshi SK, Shrestha S, Vaidya S. Occupational safety and health studies in Nepal. Int J Occup Safety Health. 2011;1(1):19–26.

    Article  Google Scholar 

  38. 38.

    Al-Haddad SA, Al-Sayyad AS. Pesticide handlers’ knowledge attitude and practice. Bahrain Med Bull. 2013;158(694):1–4.

    Google Scholar 

  39. 39.

    Kargbo A, Wang C-Y, El-habbaq MM, Li S-M, Li Y-F, Mai R-Z, et al. The impact of international codes of conduct on employment conditions and gender issues in Chinese flower companies. Afr J Biotechnol. 2010;9(49):8355–61.

    Google Scholar 

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Acknowledgements

The authors would like to extend our deepest gratitude to the University of Gondar, College of Medicine and Health Sciences, Institute of Public Health for funding the study. The authors are also very much thankful to all data collectors, supervisors, and study participants.

Funding

The University of Gondar, College of Medicine and Health Sciences, Institute of public health has covered the necessary budget for the study. However, the funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Contributions

DHG: Initiated the concept of the research, wrote up of the research proposal, analyzed the data, involved in presentation and interpretation process of results and discussions, and drafted the manuscript document. MA: Involved in wrote up of the research proposal, data analysis, presentation and interpretation of the findings and discussion. GAA: Involved in interpretation and presentation of the results and discussion, drafted andreviewed the manuscript paper. THM: Involved in data analysis, presentation and interpretation of the results and discussion reviewed and finalized the manuscript paper, and the corresponding author. The authors read and approved the final manuscript.

Corresponding author

Correspondence to Tesfaye Hambisa Mekonnen.

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Ethics approval and consent to participate

Ethical approval was obtained from the Institutional Ethical Review Board (IERB) of the University of Gondar, College of Medicine and Health sciences, Institute of Public Health (Reference #: EOHS/501/2009). We communicated the letter to each owner of the flower farm industry. We also obtained written informed consent from each respondent. Confidentiality of data was highly maintained. Only aggregate data were used. Any involvement in the study was carried out with the full consent of the person willingly participating in the study.

Consent for publication

Consent for publication of data and information collected was obtained from each participant.

Competing interests

The authors declare that there are no competing interests.

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Supplementary Information

Additional file 1.

The survey questionnaire employed for data collection.

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Geleta, D.H., Alemayehu, M., Asrade, G. et al. Low levels of knowledge and practice of occupational hazards among flower farm workers in southwest Shewa zone, Ethiopia: a cross-sectional analysis. BMC Public Health 21, 232 (2021). https://doi.org/10.1186/s12889-021-10254-5

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Keywords

  • Knowledge
  • Practice
  • Occupational hazards
  • Flower farms
  • Ethiopia