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BMJ Open logoLink to BMJ Open
. 2014 Jun 24;4(6):e004798. doi: 10.1136/bmjopen-2014-004798

A systematic review of the influence of occupational organophosphate pesticides exposure on neurological impairment

Noriko Takahashi 1, Masahiro Hashizume 1
PMCID: PMC4078784  PMID: 24961715

Abstract

Objective

The aim of this study was to conduct a systematic review of the published literature and to estimate whether or not there is a causal relationship between occupational exposure to organophosphate pesticides (OPs) and either neurological impairment or depressive symptoms.

Data sources

EMBASE, MEDLINE, Global Health and PsycINFO (1980 to April 2014).

Setting

Observational studies (cross-sectional, cohort and case–control studies) with exposed and unexposed groups.

Participants

People who occupationally use OPs for more than 1 month and their family.

Primary outcome

Results of neurological core test batteries or depressive symptoms such as headaches, anxiety and dizziness.

Study appraisal and synthesis methods

After an extensive search of various literature databases, one author screened titles and abstracts, searched the relevant publications manually and conducted data extraction. All extracted data from the selected articles were synthesised for analysis. Quality appraisal was conducted using the Newcastle Ottawa Scale.

Results

Of the 1024 articles retrieved by database search, 24 studies that met the inclusion and exclusion criteria were selected for analysis. Of the selected studies, 17 were cross-sectional and the remaining 7 were cohort and nested case–control studies. The geographical areas included in the studies were the USA (10 studies), the UK (4 studies), Africa (4 studies), Asia (3 studies), Europe (2 studies) and South America (1 study). Each of the included studies used different exposure and outcome assessments such as neurological scores and depressive symptoms, making it difficult to compare the results exactly. Most studies showed that exposed groups had poorer results than unexposed groups; however, owing to the inconsistent neurological test batteries, there was not enough pooling evidence to conduct a meta-analysis.

Conclusions

The findings of this literature review indicate that it is necessary to standardise the neurological or neuropsychological test battery and methods of measuring exposure to OPs.

Keywords: Environmental Health


Strengths and limitations of this study.

  • The article represents a systematic review of epidemiological studies on adverse effects on the human central nervous system by occupational organophosphate pesticides (OPs) exposure, with a quality appraisal of each study.

  • The article identifies problematic issues of exposure and outcome assessments.

  • Meta-analysis could not be applied because only a small number of pooled studies were available.

  • In some studies, it was difficult to judge negative effects caused only by OPs, because mixed pesticides were used.

Introduction

Ever since organophosphate pesticides (OPs) were developed, they have been used to combat insects for public health purposes and to support agricultural productivity and manufacturing processes. Because pesticide ingestion is one of the leading suicide methods, a large number of epidemiological studies have investigated the relationship between high-level OPs exposure such as pesticide poisoning and accidents and acute health effects. It has been reported that high-level OPs exposure is significantly related to neurological or neuropsychological impairment.1 2 In contrast, few studies have reported associations between occupational or cumulative OPs exposure and negative effects on human health, although some research has examined the negative influence on young children of cumulative OPs exposure3 4 and others have investigated relationships between reproductive health and occupational OPs exposure.5–7 A high level of OPs exposure is known to have adverse effects on the human central nervous system (CNS); therefore, occupational or cumulative OPs exposure also has the potential to negatively affect the CNS. However, very few epidemiological studies that have assessed the relationships between occupational OPs exposure and neurological or mental problems have been published. The objective of this systematic review is to verify whether or not occupational OPs exposure negatively affects the human CNS. To investigate this further, we summarised the epidemiological evidence for the relationship between occupational OPs exposure and mental and neuropsychological aggression, especially for occupational OP users, and some of the limitations associated with the various studies are discussed.

Materials and methods

Searching strategy for identification of published studies

We searched the published literature using the OvidSP search software8 to select relevant observational studies. A geographical restriction was not imposed; however, the search was restricted to studies published from 1980 to 2014. Population-based case–control studies were excluded from the systematic review because it was difficult to assess accurate exposure doses for these studies. Because various pesticides including OPs are currently easily available to everyone, it is highly likely that these pesticides have been obtained for personal use. For this reason, it is almost impossible to obtain past records of pesticide use by every individual. The literature search was limited to studies in humans and to reports published in English, and the review was limited to epidemiological studies. Moreover, unpublished studies and the grey literature (literature that has not been formally published) were not searched in this systematic review; therefore, we did not contact authors to find unpublished studies. Studies investigating OPs exposure through food and water contamination were also excluded. A search of the following four databases was carried out: EMBASE Classic + EMBASE (1980 to Week13 2014); Ovid MEDLINE(1980 to Week13 2014); Global Health (1980 to Week12 2014); and PsycINFO (1980 to Week14 2014).

A combination of free-text terms and explore terms was used to identify relevant articles. For exposure, the following search keywords were used: organophosphate*, organophosphorous, pesticide*, or insecticide* and organophosphate pesticide (explore map term). For outcome, the following search keywords were used: neuro*, psychiatr*, psycholog*, mental health, mental illness, mental disorder, or depressi*, depression (explore map term) and mental health (explore map term). For subjects, the following search keywords were used: occupation*, agricultu* or farm*. For study design, the following search keywords were used: epidemiolog*, cohort, cross-sectional, or case–control and epidemiology (explore map term). An initial systematic search in the titles and abstracts was conducted using a combination of all these search terms. A second manual search of the reference lists from the selected relevant articles was performed to explore or retrieve articles found in the initial search in order to find as many available studies as possible.

Criteria for selecting studies for review

Only original research articles meeting the inclusion and exclusion criteria described below were used in the final review.

Inclusion criteria:

  1. Study design

  2. Must be observational studies: cross-sectional, cohort and case–control studies.

  3. Studies must have exposed and unexposed groups.

  4. Participants
    1. The subjects in the exposed group must either use OPs occupationally, or there must be a probability of being exposed to OPs during their work.
    2. The families of occupational OP users can be treated as participants.
  5. Exposure
    1. Participants must be exposed to OPs for at least 1 month.
    2. Seasonal workers who used OPs for more than 1 month must be included.
  6. Outcome: Studies must have carried out some tests to assess damage to the CNS or have conducted a survey or an interview to identify depressive symptoms.

  7. Exposure–outcome association: Results must be reported as some types of relative risks or mean scores.

Exclusion criteria:

  1. Study design: Experimental and laboratory-based studies including animal studies were excluded. Population-based case–control studies were excluded.

  2. Participants: Studies of mainly patients of pesticide poisoning were excluded.

  3. Exposure: Studies that did not specify the type of pesticides were excluded.

  4. Outcome: Studies examining damage to the peripheral nervous system due to OPs exposure were excluded.

  5. Language: Studies published in a language other than English were excluded.

Definitions used for the review

Definition of cumulative exposure

  1. People who used OPs in their jobs for at least 1 month and had the probability of inhaling ambient OPs and absorbing OPs by spraying and touching.

  2. Families of OP users were included as subjects because they may have been exposed to OPs by washing clothes contaminated by OPs and/or by touching OP users.

Definition of poor mental health

  1. Neurological or neuropsychological impairment
    1. People who had poorer results in neurological or neuropsychological test batteries than healthy people of the same age.
    2. People who had short-memory loss; for example, people who had experienced memory loss for at least 3 months but less than 6 months.
  2. Depressive symptom
    1. People who, regardless of their age, had chronic depressive symptoms including headache, fatigue, dizziness, sleeplessness and eye problems.
    2. People who were diagnosed with depression by clinical doctors.

Study selection process

Using the search terms listed above, a total of 1024 references were obtained: 515 from EMBASE Classic + EMBASE, 31 from PsycINFO, 196 from Global Health and 282 from Ovid MEDLINE (figure 1). However, 77 animal studies, 90 studies not in English studies and 12 studies that did not meet the time restrictions were excluded. Of the remaining 845 studies, 516 were excluded because of duplications. A manual search of the titles and abstracts of the remaining 329 references excluded a further 272 studies. The 21 remaining articles were fully reviewed, after which 12 studies were deemed to meet the inclusion and exclusion criteria.9–20 In addition, 12 articles identified by the manual search were added to the systematic review (figure 1). To include as many relevant studies as possible, studies published before 1980 that were found by the manual search were included to the list for review. Finally, these 24 studies were selected for data extraction.9–32

Figure 1.

Figure 1

Flow diagram of search and review process (OP, organophosphates).

Data extraction, synthesis and analysis

Data extraction forms were created to compare relevant data collected from each of the 24 studies. The following data were extracted to assess heterogeneity of the included studies: title, authors, year published, number of participants in the exposed and unexposed groups, occupation, and demographic information such as mean age, sex, smoking status and geographical area. In addition, the following data were extracted to assess confounding factors and statistical models among the included studies: inclusion and exclusion criteria such as first language, alcohol consumption, injury experience, confounding factors and statistical methods used. The following data were extracted to assess exposure and outcomes: types of pesticides, exposure assessment and outcome assessment to measure the neurological or neuropsychological ability and results obtained. Tables containing the data that were obtained using the data extraction forms were constructed and analysed. p Values and 95% CIs were elicited from the articles to judge statistical uncertainty. When a study had investigated depressive symptoms, the information was collected and a table was constructed. The impact and statistical magnitude of depressive symptoms were represented using plus or minus signs ‘++’, ‘+’ and ‘−’, based on the p value or 95% CI of the studies. All data extraction, coding and quality appraisal were conducted only by the first author; therefore, no disagreement events occurred.

Quality appraisal

The quality of the 24 studies was appraised using a scale adapted from the ‘Newcastle/Ottawa Scale (NOS)’33 (the appraisal standard of NOS is shown in online supplementary appendix A). Based on the NOS, each study was evaluated using the point system. When a study included relevant information that could be associated with the NOS, one point was added. Five items in cross-sectional studies and eight items in cohort and case–control studies that could be related to the NOS were identified. Therefore, cross-sectional studies assigned 5, 4, 3 or 0-2 points were evaluated as very good, good, satisfactory or unsatisfactory studies, respectively. Similarly, cohort/case–control studies with 7-8, 5-6, 4 and 0-3 points were identified as very good, good, satisfactory or unsatisfactory, respectively.

Results

As a result of the search strategy described in the Materials and methods section, 12 studies were identified from the database search and another 12 studies were found after a manual search. These 24 articles, published between 1975 and 2010, met all the inclusion and exclusion criteria. A summary of the characteristics of the 24 selected articles is shown in table 1.

Table 1.

Findings reported in epidemiological studies into occupational low-level OPs exposure and mental illness

Author Study design Country Exposed population (N) Chemical Exposed assessment Comparison group
1 Albers et al9 CO USA Chemical workers (53) OP Industrial HR, AChE INH Similar workers, not exposed (60)
2 Bazylewicz-Walczak et al21 CO Poland Greenhouse workers (26) OP DR Greenhouse workers, not exposed (25)
3 Beseler et al10* NC/CO USA Case†: spouses of private applicators with depressive diagnoses (2051) OP QU or IN Control: spouses of private applicators without depressive diagnoses (27 023)
4 Cole et al11 CR Ecuador Farmers, some applicators (144) OP,CAR, FNG IN, QU, AChE INH Local population(72)
5 Daniell et al12 CO USA Farm worker applicators (49) OP QU, AChE INH Slaughterhouse workers(40)
6 Dassanayake et al13 CR Sri Lanka Vegetable farm workers (38) OP NA Hospital labourers (35)
7 Farahat et al14 CR Egypt Farm workers (52) OP AChE INH Local population(50)
8 Fiedler et al15 CR USA Tree fruit farmers (57) OP QU, lifetime exposure metric Cranberry/blueberry growers(low exposed), hardware storeowners (unexposed) (42)
9 Korsak et al22 CR USA Occupational exposure (16) OP, CAR, OC AChE INH Local population (low exposure; 16)
10 Levin et al23* CR USA Pesticide applicators (24) OP IN, AChE INH Farmers (24)
11 London et al16 CR South Africa Fruit farm pesticide applicators (163) OP QU(job-matrix) Farm workers, not applicators (84)
12 London et al24* CR South Africa Fruit farm pesticide applicators (164) OP QU (job-matrix) Farm workers, not applicators (83)
13 Maizlish et al25 CR USA Pesticide applicators (46) OP UM, DR Non-applicators (56)
14 Misra et al26* PR India Pesticide applicators (22) OP AChE INH Hospital labourers (20)
15 Ohayo-Mitoko et al27* CO Kenya Farm worker applicators (256) OP, CAR AChE INH Farm workers (low exposure; 152)
16 Rodnitzky et al28 CR USA Pesticide applicators (23) OP AChE INH Farmers (23)
17 Roldan-Tapia et al18 CR Spain Greenhouse workers (40) OP, CAR QU, AChE INH Local population (26)
18 Ross et al17 CO UK Sheep farmers (127) OP IN Police workers (78)
19 Rothlein et al32 CR USA Farm workers (96) OP UM, House dust Workers in hotels and tourist industry (45)
20 Srivastava et al29 CR India Manufacture workers (59) OP AChE INH Manufacture workers, not exposed (17)
21 Steenland et al30 CR USA Termiticide applicators (191) OP IN,UM Friends, blue collar workers (189)
22 Stephens et al19 CR UK Sheep farmers (146) OP QU Quarry workers (143)
23 Stephens et al31 CR UK Sheep farmers (77) OP QU, UM Quarry workers (69)
24 Stephens et al20 CR UK Orchard applicators (37) OP IN,QU Construction workers, pig farmers (57)

*Studies that included depressive symptoms for outcome assessments.

†Cases were defined as female spouses of private applicators who responded with ‘yes’ to the question ‘Has a DOCTOR ever told you that you had been diagnosed with depression requiring medication?’Controls were female spouses who responded with ‘no’.10

AChE, acetylcholinesterase; AChE INH, AChE inhibition; CAR, carbamates; CO, cohort; CR, cross-sectional; DR, dermal and respiratory absorption; FUN, fungicides; HR, hygiene records; IN, interview; NA, not applicable; NC, nested case–control; OC, organochlorines; OP, organophosphates; PR: prospective study; QU, Questionnaire; UM, urinary metabolites

Study design and geographical area

Of the selected studies, 17 were cross-sectional and the remaining 7 were cohort and nested case–control studies. The geographical areas included in the studies were the USA (10 studies), the UK (4 studies), Africa (4 studies; two in South Africa, 1 in Egypt and 1 in Kenya), Asia (3 studies; 2 in India and 1 in Sri Lanka), Europe (2 studies; 1 in Spain and 1 in Poland) and South America (1 study in Ecuador).

Characteristics of participants

Because the participants were limited to people who had the probability of being occupationally exposed to OPs, the majority of the participants (60−70%) were men. Most of the time, agricultural work such as pesticide application and farming is performed predominantly by men. Six of the 24 studies included male and female participants,9 11 17 25 27 32 and only 1 study used all female participants in the exposed and control groups.21 In 13 of the studies, the mean age of the exposed participants was in the 30s, in six studies the mean age was in the 40s,9 14 15 19 20 31 and in two studies the mean age was in the 50s.13 17 The mean age in two studies was 29, very close to 30.25 32 One of the studies did not report detailed demographic data of the participants.10

Source of recruitment and sample size

Ten of the 24 studies were on pesticide applicators including private, commercial, and tree, fruit and vegetable applicators. Five and three studies were on farmers and sheep farmers, respectively, and two studies were on factory workers and greenhouse workers. One study investigated depressive symptoms in the spouses of OPs users. In the study by Korsak et al,22 the specific occupation of the population in the study was not stated; however, the participants had experienced occupational OPs exposure. The number of participants in the exposed groups varied from 16 to 2051, while the control groups had a wider range of participants (16–27 023).

Exposure assessment

Exposure assessment in the included studies could be divided, for the most part, into five patterns: indirect assessment using, for example, an interview or questionnaire; direct assessment including a measurement of urinary metabolites and acetylcholinesterase (AChE) levels in the blood or a measurement of ambient OPs using a patch and a pump; a combination of direct and indirect methods; a combination of a biomarker and OPs exposure levels included in house dust; and a combination of biomarkers and ambient OP levels. Seven of the 24 studies used indirect methods, and six studies used blood AChE inhibition levels to measure AChE levels in the blood as an exposure indicator. Six studies used a combination of indirect methods and biomarkers, three studies used biomarkers and ambient OP levels and one study used a biomarker and house dust. The remaining study did not mention any exposure assessment methods. In all the studies that used urinary metabolites as exposure assessment, the results were presented as the sum of dialkylphosphates (DAP; ie, the sum of six DAP metabolites: DMP (dimethylphosphate), DMTP (dimethylthiophosphate), DMDTP (dimethyldithiophosphate), DEP (diethylphosphate), DETP (diethylthiophosphate) and DEDTP (diethyldithiophosphate)).25 30–32

Outcome measurements

Two different outcome measurements were used in the studies; one measured neurological impairment and the other assessed depressive symptoms. Of the 24 studies, 19 used cognitive function tests to investigate negative neurological influences caused by OPs exposure.

Associations between outcome and exposure

Ten of the 19 studies that investigated cognitive impairment mentioned that at least one measure outcome showed more impairment in the exposed groups; however, these observations were not significant (p<0.05). Seven of the studies reported some significant positive associations of exposure with poor outcome (p<0.05); however, even in these cases, the significant decrements were observed only in some of the neurological tests, mainly in the Digit Span and Santa Ana Dexterity tests. Indeed, there are several versions of these neurological tests and the significance of the scores often depended on the versions of the tests that were used. Five studies used the Wechsler Adult Intelligence Scale (WAIS or WAIS-R),34 35 four studies used the Neurobehavioral Evaluation System (NES),36 two studies used the WHO Neurobehavioral Core Test Battery (NCTB)37 38 and the remaining eight studies used their own scales.

Five studies adopted depressive symptoms as outcome measurements, as shown in table 2; however, the symptoms used in the studies were not standardised.

Table 2.

Summary of depressive symptoms used as outcome measurements

Reference Results obtained Impact of outcomes
Beseler et al10 Depression due to doctor’s diagnosis was not significantly related to low (OR 1.09; 95% CI 0.91 to 1.31) cumulative exposure
Levin et al23 Anxiety score of the pesticide applicators was significantly higher (p<0.05) than that of the farmers. However, there was no significant difference in measures of depression ++
London et al24 Dizziness, sleepiness and headache had a significantly higher overall neurological symptom score (p<0.05) ++
Misra et al26 Common symptoms were headache (59%), giddiness (50%), ocular symptoms (27%) and paraesthesia (18%), and no neurological change was seen
Ohayo-Mitoko et al27 A significant change in symptom prevalence was found for the respiratory (2.48% CI (0.78% to 5.38%) and central nervous system (2.56% CI (0.99% to 6.62%), but in terms of skin symptoms and eye symptoms, there was no statistically significant change ++

++, statistically significant (p<0.05); OR, Odds ratio; −, not statistically significant.

Statistical analysis

Sixteen studies used logistic regression, and the remaining eight used other statistical tests including χ2 test and t-test. Only one study adjusted for sex in the logistic regression. Fourteen of the 24 studies adjusted for age, and 12 of the 24 studies adjusted for education in the statistical analysis. However, only five studies adjusted for alcohol consumption before carrying out the statistical analysis, and only two studies adjusted for first language.

Methodological quality appraisal

Based on NOS, 5 of the 24 studies were of very good quality, 10 were of good quality and the remaining 9 were either satisfactory or unsatisfactory. Most studies with unsatisfactory scores either were carried out before 1990 or were performed in some of the less developed countries. In particular, the methods of recruitment of subjects, controlling for confounders, and outcome assessment were not appropriate. For example, in some studies, all of the participants were volunteers14 28 and in another study, the subjects were not representative of the community from which they were recruited (factory workers).29 In addition, in the unsatisfactory studies, how the outcome was assessed was not described, and methods needed to avoid confounders such as stratification and regression were not used. None of the cohort studies were assessed as being of very good quality because most of them did not have a long enough follow-up duration (in five studies, the duration was less than 6 months) and the selected subjects were not fully representative of the target community. Moreover, the methods of outcome assessment were not described in most of the cohort studies.

Data synthesis

The results of the neurological tests used in the studies are summarised in table 3. As can be seen, the test batteries differed from study to study. The commonly used test batteries in NCTB, NES and WAIS were Symbol-Digit and Digit Span Forward and Backward. However, some studies that adopted NES and WAIS to measure neurological impairment implemented only a few subsets in the trials. Among the 13 studies that used a Symbol-Digit test, 4 used NES and unknown tests, 2 used WAIS and WAIS-R, and 1 used a Polish NCTB. Among the studies that used Digit Span Forward and Backward tests, some studies performed both tests, while the others performed only one of the tests as shown in table 3. Overall, only four of the studies used the same test battery in NES and WAIS. Although three studies apparently used the same scoring systems, one of the scores was completely different from the scores in the other two studies. For example, the scores in the study by Stephens et al31 were 24.22 and 21.01 in the exposed and control groups, respectively, whereas the scores reported by Daniell et al and Stephens et al were much lower and between 2.23 and 3.55.12 20 Similarly, the mean scores reported by Bazylewicz-Walczak et al21 were higher, 45.50 and 49.40, while the mean scores reported in the other studies were smaller, 2.28 and 2.23, in WAIS.25 In consideration of the insufficient number of studies and possible systematic differences in the population characteristics and/or the measurement procedures between the studies, we decided not to conduct a meta-analysis.

Table 3.

Summary of the neurological test batteries used in some of the studies

Reference Types of neurological tests Symbol digit Digit span Santa Ana Simple reaction time Syntactic reasoning(s)
Bazylewicz-Walczak et al21 Polish NCTB/WAIS (Symbol Degit) nd nd nd ** nd
Cole et al11 NCTB nm nm nm nd nd
Daniell et al12 NES * nd nd nd nd
Farahat et al14 Unknown *** ***(f)†
***(b)‡
nd nd nd
Fiedler et al15 WAIS-R * * nd *** nd
London et al 16 WAIS-R nm nm *** nm nd
Maizlish et al25 WAIS *** nd nd nd nd
Roldan-Tapia et al18 WAIS *** § *** § nd nd nd
Ross et al17 WAIS nd *** nd nd nd
Rothlein et al32 Unknown * *(f)†
***(b)‡
nd * nd
Srivastava et al29 Unknown *** *** nd nd nd
Steenland et al30 NES * * nd * nd
Stephens et al19 Unknown *** * nd *** **
Stephens et al31 NES/ACT nm nm nd nm nm
Stephens et al1 NES/ACT * * nd * *** (ACTS)

***p<0.05, **0.05 ≦ p<0.1, *p>0.1.

The exposed groups were slower or had poorer outcomes than the control groups.

†(f) Digit Span Forward.

‡(b) Digit Span Backward.

§Whether the obtained results were positive or negative was not reported in the study.

nd, subsets of neurological tests were not performed;

nm, subsets of neurological tests were performed but p values were not reported.

Discussion

The systematic keyword and manual searches of the published literature identified 24 epidemiological studies that examined the relationship between OPs and CNS. When the relevant information was assessed, two main findings were obtained; one was the method of exposure assessment, and the other was the method used for the outcome measurement. For exposure assessment, the measurement methods were categorised as direct, indirect and a combination of direct and indirect. For the outcome measurements, two main assessments were used: neurological impairment and depressive symptoms.

Exposure assessment

Exposure assessment was not used for group allocation in all the studies; rather, it was implemented to measure how many participants were exposed and the outcomes of the neurobehavioural tests. Different exposure assessment methods were used in each study, which made it difficult to accurately compare the studies. In addition, there seemed to be methodological imperfections in the direct and indirect methods. For example, in one study, an interview and questionnaire were used for recruiting participants above 60 years of age who had been retired for 11 years.17 This method is subject to recall bias because the rate of cognitive impairment is likely to have increased as the participants aged. However, other indirect methods, especially extensive history records of pesticide use, could be considered as a proxy of how much OPs might have accumulated in the body; thus, records of this type can be used to estimate the amount of OPs by long-term exposure, even though there may be some recall bias. For the direct methods, DPA or urinary metabolite was used as an exposure index in the study; however, DPA is metabolised rapidly and excreted.6 In contrast, blood AChE levels take approximately 1 week to become normal39; hence, although blood AChE levels cannot be used to assess the accumulation of OPs in body tissues over a long time, it can be used to assess short-term exposure. To minimise measurement errors, a mixed method for the assessment of short-term and long-term exposure should be established.

Outcome assessment

The main problem in analysing the outcome measurements was the inconsistencies in neurological test batteries. Various versions of the neurological tests were used in the studies and the content of the tests differs slightly in each study (table 3). Therefore, only a few tests were common across some of the studies, which made it difficult to compare the studies. Further, a meta-analysis could not be applied because of the insufficient number of studies. Meta-analysis could have been performed by dividing the results into subgroups; however, the results could be highly misleading because of loss of power.40 In terms of depressive symptoms, the outcome assessment was again different in each study. For instance, one study used the proportion of headaches, while another used dizziness and sleepiness as the main outcomes. To gain better insights into whether occupational OP exposure can negatively affect the human CNS, at the very least, neurological test batteries should be standardised and guidelines for measuring of neurological symptoms should be set for all future epidemiological studies. Furthermore, although some studies mentioned the possible relationship between OPs exposure and confounding factors such as age and education, statistical tests between the exposed and control groups were not performed in these studies. These inconsistencies make it difficult to compare the neurological impairment outcomes among the studies.

Study design

Although 17 of 24 studies were cross-sectional studies, longitudinal or cohort studies are more appropriate because agricultural work using pesticides is easily influenced by seasonality. One research regarding reproductive health by OPs exposure stated that sperm concentration and counts are negatively affected in spring, the peak season, rather than winter.5 Therefore, the effect on the CNS could also be affected by seasonality.

Sources of possible biases

Since only published studies written in English were searched, publication bias could have occurred. In future studies, non-English studies and unpublished studies should be included to reduce publication bias. In trials that included foreign workers, first language and education levels could be considered as possible biases because there is a possibility that non-native participants did not fully understand the content and instructions for the tests, which could lead to their obtaining a lower score than native speakers. Additionally, the education systems in developed and less developed countries could be very different. Nowadays, developed countries such as the USA and the Gulf countries have accepted foreign workers as an important part of the workforce.12 32 41 These factors needed to be adjusted carefully in the sampling and analytical stages of the study; however, only two of the selected studies mentioned first language in their statistical analyses.12 31 Occupation could also contribute to selection bias because, for example, a police officer or a construction worker would have a higher probability of experiencing loss of consciousness due to accidents than workers with different occupations.17

Possible confounders

Apart from common confounders such as age and education, head injury and alcohol consumption could be other confounders, because they can cause neurological impairment due to memory deterioration. Although some of the studies adjusted for alcohol consumption in the analysis,10 12 16 24 25 no study adjusted for head injury. Furthermore, nutrition status including vitamin deficiency can also be relevant to the outcome of neuropsychological tests.16 24 Thus, factors other than the common confounders that could negatively affect cognitive function should be adjusted for in the analysis.

Strengths and limitations of this review

A major strength of this systematic review is that the characteristics of the selected studies were summarised using tables, and limitations of the exposure and outcome assessments used in these studies were identified mainly on the basis of the constructed tables. Furthermore, the systematic review allowed us to propose recommendations that will be useful for standardising future epidemiological research.

All of the selected studies were relevant to occupational OPs exposure; however, some of them included other pesticides such as carbamates, fungicides and herbicides. Pesticides that are commonly used in agriculture are usually mixtures of different pesticides, which are used to increase their effect. Four of the 24 selected studies used a combination of OPs, organochlorines, carbamates and fungicide; hence, the effect of only occupational OPs exposure could not be measured in these studies. In the outcome assessments, different neurological types of tests were used; consequently, the lack of pooling evidence meant that a meta-analysis could not be performed. Furthermore, the exclusion of studies written in languages other than English is another limitation of this review, and literature retrieval by only the first author could have introduced some bias into the selection of the studies.

Conclusion

The items tested in the neurological or neuropsychological test batteries, and the estimates of OPs exposure were inconsistent because they depended on the preferences of the investigators. For future studies, it would be best to standardise the neurological and neuropsychological test types, test batteries and the methods used to measure OPs, to enable precise comparisons of results and pooling of evidence from a large number of studies for future analyses. However, this may be difficult to achieve in practice because OPs are used in differing settings around the world, and education systems vary considerably between countries.

Supplementary Material

Author's manuscript
Reviewer comments

Acknowledgments

The authors thank Professor Ben Armstrong for his insightful comments on our paper.

Footnotes

Contributors: NT conceived the study design and participated in protocol development, literature searching, data extraction and data analysis and also drafted the manuscript. MH critically reviewed the draft and contributed to the manuscript revisions.

Funding: This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.

Competing interests: None.

Provenance and peer review: Not commissioned, externally peer reviewed.

Data sharing statement: No additional data are available.

References

  • 1.Steenland K, Jenkins B, Ames RG, et al. Chronic neurological sequelae to organophosphate pesticide poisoning. Am J Public Health 1994;84:731–6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Moretto A, Lotti M. Poisoning by organophosphorus insecticides and sensory neuropathy. J Neurol, Neurosurg Psychiatry 1998;64:463–8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Rohlman DS, Arcury TA, Quandt SA, et al. Neurobehavioral performance in preschool children from agricultural and non-agricultural communities in Oregon and North Carolina. Neurotoxicology 2005;26:589–98 [DOI] [PubMed] [Google Scholar]
  • 4.Rastogi SK, Tripathi S, Ravishanker D. A study of neurologic symptoms on exposure to organophosphate pesticides in the children of agricultural workers. Indian J Occup Environ Med 2010;14:54–7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Recio-Vega R, Ocampo-Gomez G, Borja-Aburto VH, et al. Organophosphorus pesticide exposure decreases sperm quality: association between sperm parameters and urinary pesticide levels. J Appl Toxicol 2008;28:674–80 [DOI] [PubMed] [Google Scholar]
  • 6.Yucra S, Gasco M, Rubio J, et al. Semen quality in Peruvian pesticide applicators: association between urinary organophosphate metabolites and semen parameters. Environ Health Glob 2008;7:59. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Yucra S, Rubio J, Gasco M, et al. Semen quality and reproductive sex hormone levels in Peruvian pesticide sprayers. Int J Occup Env Heal 2006;12:355–61 [DOI] [PubMed] [Google Scholar]
  • 8.Ovid Technologies Inc. Ovid SP. http://gateway.ovid.com/ (accessed 23 Apr 2014)
  • 9.Albers JW, Berent S, Garabrant DH, et al. The effects of occupational exposure to chlorpyrifos on the neurologic examination of central nervous system function: a prospective cohort study. J Occup Environ Med 2004;46:367–78 [DOI] [PubMed] [Google Scholar]
  • 10.Beseler C, Stallones L, Hoppin JA, et al. Depression and pesticide exposures in female spouses of licensed pesticide applicators in the agricultural health study cohort. J Occup Environ Med 2006;48:1005–13 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Cole DC, Carpio F, Julian J, et al. Neurobehavioral outcomes among farm and nonfarm rural Ecuadorians. Neurotoxicol Teratol 1997;19:277–86 [DOI] [PubMed] [Google Scholar]
  • 12.Daniell W, Barnhart S, Demers P, et al. Neuropsychological performance among agricultural pesticide applicators. Environ Res 1992;59:217–28 [DOI] [PubMed] [Google Scholar]
  • 13.Dassanayake T, Gawarammana IB, Weerasinghe V, et al. Auditory event-related potential changes in chronic occupational exposure to organophosphate pesticides. Clin Neurophysiol 2009;120:1693–8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Farahat TM, Abdelrasoul GM, Amr MM, et al. Neurobehavioural effects among workers occupationally exposed to organophosphorous pesticides. Occup Environ Med 2003;60:279–86 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Fiedler N, Kipen H, KellyMcNeil K, et al. Long-term use of organophosphates and neuropsychological performance. Am J Ind Med 1997;32:487–96 [DOI] [PubMed] [Google Scholar]
  • 16.London L, Myers JE, Nell V, et al. An investigation into neurologic and neurobehavioral effects of long-term agrichemical use among deciduous fruit farm workers in the Western Cape, South Africa. Environ Res 1997;73:132–45 [DOI] [PubMed] [Google Scholar]
  • 17.Mackenzie Ross SJ, Brewin CR, Curran HV, et al. Neuropsychological and psychiatric functioning in sheep farmers exposed to low levels of organophosphate pesticides. Neurotoxicol Teratol 2010;32:452–9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Roldan-Tapia L, Parron T, Sanchez-Santed F. Neuropsychological effects of long-term exposure to organophosphate pesticides. Neurotoxicol Teratol 2005;27:259–66 [DOI] [PubMed] [Google Scholar]
  • 19.Stephens R, Spurgeon A, Calvert IA, et al. Neuropsychological effects of long-term exposure to organophosphates in sheep dip. Lancet 1995;345:1135–9 [DOI] [PubMed] [Google Scholar]
  • 20.Stephens R, Sreenivasan B. Neuropsychological effects of long-term low-level organophosphate exposure in orchard sprayers in England. Arch Environ Health 2004;59:566–74 [DOI] [PubMed] [Google Scholar]
  • 21.Bazylewicz-Walczak B, Majczakowa W, Szymczak M. Behavioral effects of occupational exposure to organophosphorous pesticides in female greenhouse planting workers. Neurotoxicology 1999;20:819–26 [PubMed] [Google Scholar]
  • 22.Korsak RJ, Sato MM. Effects of chronic organophosphate pesticide exposure on the central nervous system. Clin Toxicol 1977;11:83–95 [DOI] [PubMed] [Google Scholar]
  • 23.Levin HS, Rodnitzky RL, Mick DL. Anxiety associated with exposure to organophosphate compounds. Arch Gen Psychiatry 1976;33:225–8 [DOI] [PubMed] [Google Scholar]
  • 24.London L, Nell V, Thompson ML, et al. Effects of long-term organophosphate exposures on neurological symptoms, vibration sense and tremor among South African farm workers. Scand J Work Environ Health 1998;24:18–29 [DOI] [PubMed] [Google Scholar]
  • 25.Maizlish N, Schenker M, Weisskopf C, et al. A behavioral evaluation of pest control workers with short-term, low-level exposure to the organophosphate diazinon. Am J Ind Med 1987;12:153–72 [DOI] [PubMed] [Google Scholar]
  • 26.Misra UK, Nag D, Bhushan V, et al. Clinical and biochemical changes in chronically exposed organophosphate workers. Toxicol Lett 1985;24:187–93 [DOI] [PubMed] [Google Scholar]
  • 27.Ohayo-Mitoko GJ, Kromhout H, Simwa JM, et al. Self reported symptoms and inhibition of acetylcholinesterase activity among Kenyan agricultural workers. Occup Environ Med 2000;57:195–200 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Rodnitzky RL. Occupational exposure to organophosphate pesticides: a neurobehavioral study. Arch Environ Health 1975;30:98–103 [DOI] [PubMed] [Google Scholar]
  • 29.Srivastava AK, Gupta BN, Bihari V, et al. Clinical, biochemical and neurobehavioural studies of workers engaged in the manufacture of quinalphos. Food Chem Toxicol 2000;38:65–9 [DOI] [PubMed] [Google Scholar]
  • 30.Steenland K, Dick RB, Howell RJ, et al. Neurologic function among termiticide applicators exposed to chlorpyrifos. Environ Health Persp 2000;108:293–300 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Stephens R, Spurgeon A, Berry H. Organophosphates: the relationship between chronic and acute exposure effects. Neurotoxicol Teratol 1996;18:449–53 [DOI] [PubMed] [Google Scholar]
  • 32.Rothlein J, Rohlman D, Lasarev M, et al. Organophosphate pesticide exposure and neurobehavioral performance in agricultural and non-agricultural Hispanic workers. Environ Health Perspect 2006;114:691–6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Institute OHR. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp (access date 26 Apr 2014)
  • 34.Wechsler D. Manual for the Wechsler Adult Intelligence Scale. New York: Psychological corporation, 1955:1–110 [Google Scholar]
  • 35.Wechsler D. Manual for the Wechsler Adult Intelligence Scale-Revised. New York: Psychological corporation, 1981:1–156 [Google Scholar]
  • 36.Baker EL, Letz RE, Fidler AT, et al. A computer-based neurobehavioral evaluation system for occupational and environmental epidemiology: methodology and validation studies. Neurobehav Toxicol Teratol 1985;7:369–77 [PubMed] [Google Scholar]
  • 37.Johnson BL, Baker EL, Batawi ME, et al. Seppalainen. Prevention of neurotoxic illness in working populations. London: John Willey & Sons, 1987:1–274 [Google Scholar]
  • 38.Anger WK. Neurobehavioural tests and systems to assess neurotoxic exposures in the workplace and community. Occup Environ Med 2003;60:531–8, 474 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Ngowi AV, Maeda DN, Partanen TJ, et al. Acute health effects of organophosphorus pesticides on Tanzanian small-scale coffee growers. J Expo Anal Environ Epidemiol 2001;11:335–9 [DOI] [PubMed] [Google Scholar]
  • 40.Higgins JP, Thompson SG, Deeks JJ, et al. Measuring inconsistency in meta-analyses. BMJ 2003;327:557–60 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Gomes J, Lloyd O, Revitt MD, et al. Morbidity among farm workers in a desert country in relation to long-term exposure to pesticides. Scand J Work Environ Health 1998;24:213–19 [DOI] [PubMed] [Google Scholar]

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