2,946
Views
5
CrossRef citations to date
0
Altmetric
Articles

Reliability and factorial validity of a questionnaire to assess organophosphate pesticide exposure to agricultural workers in Maule, Chile

ORCID Icon, , , , ORCID Icon, & show all
Pages 45-59 | Received 15 Feb 2018, Accepted 30 Jul 2018, Published online: 19 Aug 2018

ABSTRACT

The aim was to evaluate the reliability and validity of a questionnaire to assess organophosphate pesticide (OP) exposure in agricultural workers. We then enrolled a random sample of 114 agricultural workers from the region of Maule, Chile (mean age = 50 years [SD = 12]). An internal consistency analysis (Cronbach’s alpha> 0.70) and a Varimax rotational factorial analysis were applied. The instrument had a high reliability to predict likely occupational pesticide exposures: Cronbach’s alpha = 0.95, the Kaiser–Meyer–Olkin (KMO) measure was 0.90 and the Bartell sphericity test = p < 0.001. Four factors explaining 68% of the variance were extracted. The factors identified were as follows: (1) labor conditions during application of OPs; (2) use of personal protective equipment; (3) workplace conditions related to OP exposure and (4) home conditions related to OP exposure. The questionnaire has adequate metric properties to characterize likely OP exposure of agricultural workers and to explore associated working and home conditions.

Introduction

Organophosphate pesticides (OPs) are the most widely used and sold insecticides (Suratman et al. Citation2015). They are predominately used to control pests in agricultural settings. Human exposure to OPs can adversely affect human health (Liu et al. Citation2014; Lerro et al. Citation2015; Sánchez-Santed et al. Citation2016; Urlacher et al. Citation2016; Muñoz-Quezada et al. Citation2016a). Acute intoxication results in headache and abdominal pain, nausea, vomiting, dizziness, dermatitis, skin lesions, sleep problems, salivation, blurry vision, leg cramps or muscular weakness (Azazh Citation2011; Jensen et al. Citation2011; Suratman et al. Citation2015), extrapyramidal symptoms (Reji et al. Citation2016), kidney injury (Lee et al. Citation2015), among others. Severe intoxication may result in death (Lee et al. Citation2007). Cognitive and motor difficulties are the most commonly described neurotoxic conditions associated with chronic occupational exposure to OPs (Starks et al. Citation2012; Meyer-Baron et al. Citation2015; Muñoz-Quezada et al. Citation2016a, Citation2016b; Corral et al. Citation2017). Recent studies have also shown OP exposure is related to emotional disturbances (Mackenzie Ross et al. Citation2010; Harrison and Mackenzie Ross Citation2016), asthma, allergies (Hoppin et al. Citation2009), Parkinson’s disease, neuropathy (Povey et al. Citation2014) and cancer (Alavanja and Bonner Citation2012) and poorer neurodevelopment in children (Bouchard et al. Citation2011; Rauh et al. Citation2012).

OP exposure is usually assessed through measurement of either acetylcholinesterase (AChE) activity in blood or metabolites in urine (Wessels et al. Citation2003). When levels of blood AChE are low, it is assumed that the individual is exposed to OPs, especially if comparisons to baseline, prexposure AChE show declines. Measurements of erythrocyte cholinesterase are used to evaluate chronic exposure and also cases of acute intoxication. The measurement of plasma AChE is only useful to evaluate acute intoxications. Urinary biomarkers are so far the most sensitive to assess OP exposure and involve measurement of dialkylphosphate metabolites or specific metabolites of OPs such as chlorpyrifos, methamidophos, malathion, diazinon or dimethoate (CDC Citation2015).

The methods described above, while relatively sensitive and specific for measurement of OP exposure, are costly, both to collect the samples and to conduct laboratory analysis. In Latin America and developing countries, there are few laboratories and staff prepared for blood analysis. For measurement of pesticide metabolites in urine, certified centers are mainly in the United States of America (USA) or Europe (Muñoz-Quezada et al. Citation2016a). For follow-up or monitoring studies, occupational exposure to OPs and health conditions are often evaluated through questionnaires or review of clinical symptoms (Engel et al. Citation2001; Samanic et al. Citation2005). Recent studies have employed questionnaires to investigate pesticide exposure, use of personal protective equipment (PPE) and health problems; however, few studies have examined reliability and validity of these instruments (Samanic et al. Citation2005; Beseler and Stallones Citation2006; Lekei et al. Citation2014; Potts et al. Citation2014; Damalas and Abdollahzadeh Citation2016; Gesesew et al. Citation2016).

In Chile, epidemiological surveillance of workers exposed to pesticides is conducted based on a protocol developed by the Ministry of Health (Citation2017) that aims to prevent health problems. Based on review of the potential for pesticide exposure by the Institute of Public Health of Chile (ISPCH Citation2004), a questionnaire was developed to specifically assess occupational and household exposure to OPs in both applicators and nonapplicators working in agriculture and symptoms of intoxication. In the following study, we evaluate the reliability (internal consistency) and factorial validity of a brief questionnaire to assess exposure to OPs, working conditions, and symptoms of intoxication among agricultural workers that can be used to support research and investigations aiming to prevent adverse health effects from pesticide exposure.

Methods

Study design

We enrolled a cross-sectional sample of 114 agricultural workers living in the region of Maule, Chile.

Study groups

About one-third of the population, estimated at 305,077, in this region is rural, the highest proportion in Chile, and 30% of the workers in the region work in agriculture (Government of Chile Citation2015). According to the Chilean Agricultural and Livestock Service (SAG Citation2012), the region has the second largest sales of pesticides in the country (Maule ~ 10million kg/L), with a 29% of insecticides used nationally, of which 52% are OPs. In the Maule district, diazinon (~ 1 million kg/L) and chlorpyrifos (~ 231,000 kg/L) are the most commonly used materials.

We identified agricultural workers for potential recruitment with help by the Institute of Agricultural Development (INDAP), a government agency that supports small agricultural producers. The sample was a subset of a larger study evaluating OP exposure and neuropsychological and motor performance in rural populations (Muñoz-Quezada et al. Citation2016b). Agricultural workers were randomly selected from INDAP records and contacted to schedule a meeting to obtain informed consent and administer the questionnaire. Pregnant women, workers with mental disabilities or severe psychiatric disorders or any disabling diseases were excluded. This study was approved by the ethics committee on human research of the Universidad Católica del Maule. Written informed consent was obtained from all individual participants included in the study.

Questionnaire

The questionnaire was based on pesticide exposure instruments developed by the Institute of Public Health of Chile (ISPCH Citation2004), with additional questions added to assess exposure characteristics, occupational conditions and the health status of agricultural workers. The questionnaire was revised based on review by six experts in pesticide exposure and psychometrics. They reviewed the questions and agreed which were pertinent to pesticide occupational exposure issues. The agreement achieved in the final version was 100%. The questionnaire was then pilot tested in 17 exposed and 17 nonexposed workers to assess only the applicability of language and response categories.

The first section of the questionnaire (26 questions) asked about sociodemographic data and general health conditions considered to be hazardous for an agricultural worker exposed to pesticides and to confirm that the worker applies OPs (see Appendix A1). The remaining questions obtained information on demographic and occupational characteristics, job title (applicator/nonapplicator), pesticide exposure risk factors, use of OP or other pesticides, housing conditions and home pesticide use. Additional information was obtained about symptoms of potential OP poisoning. The questionnaires were administered written in Spanish; interviewers provided additional help to those workers with reading and writing difficulties. The answers to the questionnaire were tallied, with a maximum score of 65 points, and with higher scores representing greater risk of pesticide exposure and health effects. Questions answered as ‘not applicable’ were coded as zero (0).

Data analysis

First, the sociodemographic characteristics of the sample were briefly analyzed.

To determine the validity of the instrument, we performed a factorial analysis with extraction method of principal component analysis (PCA) with the Varimax rotation method. We describe the Kaiser–Meyer–Olkin (KMO) sample adequacy measure and the Bartlett sphericity test to compare the magnitude of observed and partial correlation coefficients.

Subsequently, an internal consistency analysis (Cronbach’s alpha equal to or greater than 0.70) was employed with the total scores of the test and with each factor, applying a corrected item-total correlation analysis. Finally, we calculated the descriptive statistics of the total score of the instrument and the factors obtained after the factorial analysis. A 95% confidence interval was used. SPSS 22.0 software was used for data analysis.

Results

The average age among participants was 50 years old (SD = 12). Overall, participants had an average of 21 (SD = 16) years working in job categories with potential pesticide exposure. Sixty-seven percent were applicators (n = 76), who had been applying pesticide for an average of 10 (SD = 13) years. On average, participants had 8 years of school education (SD = 3), and 65% (n = 74) were men. The average household monthly income = $344 (SD = 147) USD, similar to the minimum wage of Chile of that time.

shows the frequency and percentage of response for each of the questions. We note that all the alternatives of the questionnaire contain at least one answer from the workers, and there are no questions with a total score of zero points.

Table 1. Percentage of the pesticide exposure questionnaire OP.

The sample adequacy measure of Kaiser–Meyer–Olkin (KMO) results = 0.90 and the Bartell sphericity test = p < 0.001. The initial eigenvalues were six factors (cumulative variance = 75%).

shows the 37 items summarized in four factors extracted after the Varimax rotation.

Table 2. Factorial analysis of the questionnaire to assess organophosphate pesticide exposure (variance explained = 68%). Extraction method: principal component analysis. Rotation method: Varimax with Kaiser normalization.

This factorial model accounts for 68% of the variance; factorial loads were greater than 0.20 and each factor has more than three reactants. Factor 1 presents the highest number of variables with interactions. Factor 1 is dominated by variables related to pesticide application. Factor 2 summarized variability related to use of personal protective equipment. Factor 3 is directly related with hygienic workplace conditions related to OP exposure and factor 4 presents the home conditions that facilitate exposure to OP in workers.

presents the reliability analysis of the instrument. The questionnaire achieves an alpha coefficient of Cronbach total = 0.95.

Table 3. Item-total correlations corrected, alpha value if the item is removed and alpha value per factor for the questionnaire.

Cronbach’s alpha was greater than 0.70 for three of the four proposed factor groups (). All correlations were positive and greater than zero. The weaker correlations were of the items related to workplace and home conditions that facilitate OP exposure.

shows the means, standard deviations, median, interquartile range, range, minimum, and maximum scores of the questionnaire answered by the participants (maximum score 54 points) for each of the four factors.

Table 4. Descriptive statistics for the total score and the four factors of the questionnaire of exposure to OPs in farm workers (n = 114).

The final composition of the questionnaire according to the four factors extracted and the respective scores is shown in Appendix A2.

Discussion

We evaluated the psychometric properties of a questionnaire to characterize potential OP exposure. We identified four factors with the PCA extraction method. The items were grouped as follows: the working conditions in the application of OP in agricultural workers (factor 1); use of personal protective elements on the part of farmers (factor 2); sanitary workplace conditions that prevent exposure to OP (factor 3) and home conditions related to OP exposure in the workers (factor 4), which represented 68% of the total variance. These factors were reliable and internally consistent, with a reliability greater than 75% in the first three factors and 60% in the fourth factor.

Within these factors, it was found relevant to leave the items comprising a moderate correlation with the total (), considering that if the element was removed, the change in Cronbach’s alpha of each factor was not significant. Also, the content evaluated for those items may provide relevant background information for evaluating exposure to OPs, such as the questions of the factors 3 and 4, given that there are other exposure pathways which are related to the variables of occupational exposure to OP (Lekei et al. Citation2014; Muñoz-Quezada et al. Citation2016a; Corral et al. Citation2017), especially for applicators (Gesesew et al. Citation2016).

This questionnaire represents a first effort towards the future development of a standardized version, with test–retest reliability and criterion related validity (compared to biomarkers) as a complementary measure regarding the exposure to pesticides on agricultural workers.

The resulting contents from this first version coincide with other validated instruments, which aim to assess exposure to pesticides related to the use of PPE and exposure conditions for applicators and nonapplicators (Engel et al. Citation2001; Lekei et al. Citation2014; Gesesew et al. Citation2016). However, this questionnaire has the advantage of including specific items to evaluate OP exposure mainly related to occupational conditions of workers.

A questionnaire developed by Lekei et al (Citation2014) demonstrated to be valid and useful for inquiring about broad categories of pesticides and those of common use. However, the workers showed difficulties in recalling the most specific active compounds of pesticides. The authors mentioned that this was influenced by the information that was communicated by the authorities about the hazardousness of the pesticides to the workers at that time. Also, we would add that in general, the agricultural population has less access to formal education, which should be considered as an important factor when elaborating the items of the questionnaires. In this sense, in addition to including an open question about the use of pesticides, we propose considering the specific names of the pesticides in order to facilitate that the workers can recall them. In this study, our purpose was to develop an instrument that aims to specifically assess organophosphate exposure. In the same way, we believe that specific questionnaires should be proposed for other pesticides too, in order to avoid confusing the respondent among different substances types and classifications.

Gesesew et al. (Citation2016) and Corral et al. (Citation2017) showed in their studies that the use of questionnaires on knowledge and attitudes regarding exposure to pesticides allows to assess the behaviors associated with self-care practices, the beliefs about the effects on health and workers’ risk perception, providing useful inputs to the authorities for decision-making about workers’ training and vigilance strategies of the terrestrial application of pesticides.Compared to these valuable previous efforts, our study provides more specific questions about the use of PPE, the exposure of seasonal workers and pesticide applicators, the exposure at home and the conditions of hygiene at work. Also, we included a series of questions that aim to identify acute and chronic symptoms of exposure.

A limitation of our study is related to the fact that we were not able to compare the questionnaire results with direct biomarkers of exposure to evaluate the sensitivity and specificity of this instrument. Thus, this instrument is intended only as a descriptive measure of potential OP exposure in agricultural workers. Further evaluation using biomonitoring is needed to verify OP exposure assessed through the proposed questionnaire.

In summary, this OP exposure questionnaire is a valid instrument to evaluate potential occupational exposure and provide information on working conditions and housing. The epidemiological analysis of the association between exposure to OPs evaluated through this questionnaire and the health conditions is presented in another published article (Muñoz-Quezada et al. Citation2017). In addition, it allows the provision of timely information to guide public and private institutions that can take action to control risk behaviors and provide oversight of situations that imply noncompliance with current regulations, aiding to an adequate protection of the workers’ health.

Statements of authorship

María Teresa Muñoz-Quezada, Boris Lucero, Asa Bradman, Brittney Baumert, Verónica Iglesias, María Pía Muñoz and Carlos Concha developed the concept and designed this work. María Teresa MuñozQuezada, Boris Lucero, Brittney Baumert, Carlos Concha and María Pía Muñoz, participated in data collection. All authors participated in the analysis and interpretation of data, drafting the manuscript, critical revision of the text and approval of the final version.

Supplemental material

CIJE-2018-0048-File002.docx

Download MS Word (100.8 KB)

Acknowledgments

The authors acknowledge the support of the National Commission of Scientific and Technological Research, CONICYT of Chilean Government, Catholic University of Maule, the School of Public Health, University of Chile, the Agricultural Development Institute (INDAP) of Curicó and Ministerial Secretariat of Health of the Maule Region.

Disclosure statement

No potential conflict of interest was reported by the authors.

Supplemental Material

Supplementary data for this article can be accessed here.

Additional information

Funding

This work was supported by Fondo Nacional de Investigacion y Desarrollo en Salud under Grant SA13I20019; and Fondo Nacional de Desarrollo Científico y Tecnológico under Grant11150784, of the National Commission of Scientific and Technological Research, CONICYT of Chilean Government

References

  • Alavanja MC, Bonner MR. 2012. Occupational pesticide exposures and cancer risk: a review. J Toxicol Environ Health B Crit Rev. 15:238–263.
  • Azazh A. 2011. Severe organophosphate poisoning with delayed cholinergic crisis, intermediate syndrome and organophosphate induced delayed polyneuropathy on succession. Ethiop J Health Sci. 21:203–208.
  • Beseler CL, Stallones L. 2006. Structural equation modeling of the relationships between pesticide poisoning, depressive symptoms and safety behaviors among Colorado farm residents. J Agromedicine. 11:35–46.
  • Bouchard MF, Chevrier J, Harley KG, Kogut K, Vedar M, Calderon N, Trukillo. C. Johnson C, Bradman A., Barr DB. et al. 2011. Prenatal exposure to organophosphate pesticides and IQ in 7-year-old children. Environ Health Perspect. 119:1189–1195.
  • Centers for Disease Control and Prevention (CDC). 2015. Fourth National report on human exposure to environmental chemicals, updates table 2015 february. [Internet]. [accessed 2018 Feb 10]. http://www.cdc.gov/biomonitoring/pdf/FourthReport_UpdatedTables_Feb2015.pdf.
  • Corral SA, de Angel V, Salas N, Zúñiga-Venegas L, Gaspar PA, Pancetti F. 2017. Cognitive impairment in agricultural workers and nearby residents exposed to pesticides in the Coquimbo region of Chile. Neurotoxicol Teratol. 62:13–19.
  • Damalas CA, Abdollahzadeh G. 2016. Farmers’ use of personal protective equipment during handling of plant protection products: determinants of implementation. Sci Total Environ. 571:730–736.
  • Engel LS, Seixas NS, Keifer MC, Longstreth WT Jr, Checkoway H. 2001. Validity study of self-reported pesticide exposure among orchardists. J Expo Anal Environ Epidemiol. 11:359–368.
  • Gesesew HA, Woldemichael K, Massa D, Mwanri L. 2016. Farmers knowledge, attitudes, practices and health problems associated with pesticide use in rural irrigation villages, Southwest Ethiopia. PLoS One. 11:e0162527.
  • Government of Chile. 2015. Region of Maule. [Internet]. [accessed 2018 Feb 10]. http://www.gob.cl/cuenta-publica/2015/regional/2015_regional_07.pdf.
  • Harrison V, Mackenzie Ross S. 2016. Anxiety and depression following cumulative low-level exposure to organophosphate pesticides. Environ Res. 151:528–536.
  • Hoppin JA, Umbach DM, London SJ, Henneberger PK, Kullman GJ, Coble J, Alavanja MC, Beane Freeman LE, Sandler DP. 2009. Pesticide use and adult-onset asthma among male farmers in the agricultural health study. Eur Respir J. 34:1296–1303.
  • Instituto de Salud Pública de Chile (ISPCH). 2004. Protocolo. examen de salud para aplicaciones de plaguicidas [Protocol. Health examination for pesticide applications]. [Internet]. [accessed 2018 Feb 10]. http://www.ispch.cl/salud_ocup/doc/diagrama_datos.doc
  • Jensen HK, Konradsen F, Jørs E, Petersen JH, Dalsgaard A. 2011. Pesticide use and self-reported symptoms of acute pesticide poisoning among aquatic farmers in Phnom Penh, Cambodia. J Toxicol. 639814:1–8.
  • Lee FY, Chen WK, Lin CL, Lai CY, Wu YS, Lin IC, Kao CH. 2015. Organophosphate poisoning and subsequent acute kidney injury risk: a nationwide population-based cohort study. Medicine (Baltimore). 94:e2107.
  • Lee WJ, Alavanja MC, Hoppin JA, Rusiecki JA, Kamel F, Blair A, Sandler DP. 2007. Mortality among pesticide applicators exposed to chlorpyrifos in the agricultural health study. Environ Health Perspect. 115:528–534.
  • Lekei EE, Ngowi AV, London L. 2014. Farmers’ knowledge, practices and injuries associated with pesticide exposure in rural farming villages in Tanzania. BMC Public Health. 14:389.
  • Lerro CC, Koutros S, Andreotti G, Friesen MC, Alavanja MC, Blair A, Hoppin JA, Sandler DP,Lubin JX, Ma X, et al. 2015. Organophanosphate insecticide use and cancer incidence among spouses of pesticide applicators in the agricultural health study. Occup Environ Med. 72:736–744.
  • Liu P, Wu CH, Chang XL, Qi XJ, Zheng ML, Zhou ZJ. 2014. Assessment of chlorpyrifos exposure and absorbed daily doses among infants living in an agricultural area of the Province of Jiangsu, China. Int Arch Occup Environ Health. 87:753–762.
  • Mackenzie Ross SJ, Brewin CR, Curran HV, Furlong CE, Abraham-Smith KM, Harrison V. 2010. Neuropsychological and psychiatric functioning in sheep farmers exposed to low levels of organophosphate pesticides. Neurotoxicol Teratol. 32:452–459.
  • Meyer-Baron M, Knapp G, Shäper M, van Thriel C. 2015. Meta-analysis on occupational exposure to pesticides-neurobehavioral impact and dose-response relationships. Environ Res. 136:234–245.
  • Ministry of Health. 2017. Aprueba protocolo de vigilancia epidemiológica de trabajadores expuestos a plaguicidas [Approve protocol on epidemiological surveillance of workers exposed to pesticides]. [Internet]. [accessed 2018 Feb 10]. https://www.leychile.cl/Navegar?idNorma=1099921
  • Muñoz-Quezada MT, Lucero B, Iglesias V, Levy K, Muñoz MP, Achú E, Cornejo C, Concha C, Brito AM, Villalobos M. 2017. Exposure to organophosphate (OP) pesticides and health conditions in agricultural and non-agricultural workers from Maule, Chile. Int J Environ Health Res. 27:82–93.
  • Muñoz-Quezada MT, Lucero B, Iglesias V, Muñoz MP, Achú E, Cornejo C, Concha C, Grillo A, Brito AM. 2016b. [Organophosphate pesticides and neuropsychological and motor effects in the Maule Region, Chile]. Gac Sanit. 30:227–231.
  • Muñoz-Quezada MT, Lucero BA, Iglesias V, Muñoz MP, Cornejo CA, Achú E, Baumert B, Hanchey A, Concha C, Brito AM, et al. 2016a. Chronic exposure to organophosphate (OP) pesticides and neuropsychological functioning in farm workers: a review. Int J Occup Environ Health. 22:68–79.
  • Potts HW, Anderson JE, Colligan L, Leach P, Davis S, Berman J. 2014. Assessing the validity of prospective hazard analysis methods: a comparison of two techniques. BMC Health Serv Res. 14:41.
  • Povey AC, McNamee R, Alhamwi H, Stocks SJ, Watkins G, Burns A, Agius R. 2014. Pesticide exposure and screen-positive neuropsychiatric disease in British sheep farmers. Environ Res. 135:262–270.
  • Rauh VA, Pereda FP, Horton MK, Whyatt RM, Bansal R, Hao X, Liu J, Barr DB, Slotkin TA. 2012. Brain anomalies in children exposed prenatally to a common organophosphate pesticide. Proc Natl Acad Sci USA. 109:7871–7876.
  • Reji KK, Mathew V, Zachariah A, Patil AK, Hansdak SG, Ralph R, Peter JV. 2016. Extrapyramidal effects of acute organophosphate poisoning. Clin Toxicol (Phila). 54:259–265.
  • Samanic C, Hoopin JA, Lubin JH, Blair A, Alavanja MC. 2005. Factor analysis of pesticide use patterns among pesticide applicators in the agricultural health study. J Expo Anal Environ Epidemiol. 15:225–233.
  • Sánchez-Santed F, Colomina MT, Herrero Hernández E. 2016. Organophosphate pesticide exposure and neurodegeneration. Cortex. 74:417–426.
  • Servicio Agrícola Ganadero (SAG). 2012. Informe de venta de plaguicidas de uso agrícola en Chile [Report of sale of pesticides for agricultural use in Chile]. [Internet]. [accessed 2018 Feb 10]. http://www.sag.cl/sites/default/files/declaracion_de_venta_de_plaguicidas_ano_2012.pdf
  • Starks SE, Hoppin JA, Kamel F, Lynch CF, Jones MP, Alavanja MC, Sandler DP, Gerr F. 2012. Peripheral nervous system function and organophosphate pesticide use among licensed pesticide applicators in the agricultural health study. Environ Health Perspect. 120:515–520.
  • Suratman S, Edwards JW, Babina K. 2015. Organophosphate pesticides exposure among farmworkers: pathways and risk of adverse health effects. Rev Environ Health. 30:65–79.
  • Urlacher E, Monchanin C, Rivière C, Richard FJ, Lombardi C, Michelsen-Health S, Hageman KJ, Mercer AR. 2016. Measurements of chlorpyrifos levels in forager bees and comparison with levels that disrupt honey bee odor-mediated learning under laboratory conditions. J Chem Ecol. 42:127–138.
  • Wessels D, Barr DB, Mendola P. 2003. Use of biomarkers to indicate exposure of children to organophosphate pesticides: implications for a longitudinal study of children’s environmental health. Environ Health Perspect. 111:1939–1946.

Appendix A1. Sociodemographic data and general health conditions

Appendix A2. Final structure of the exposure questionnaire with the items grouped in the four rotated factors.