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Epidemiology and Prevention |
1 Occupational Health Section, Department of Public Health, University of Cagliari, Cagliari, Italy and 2 Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Department of Health and Human Services, Bethesda, Maryland
Requests for reprints: Pierluigi Cocco, Occupational Health Section, Department of Public Health, University of Cagliari, Via San Giorgio 12, 09124 Cagliari, Italy. Phone: 39-070-6756278; Fax: 39-070-654350; E-mail: coccop{at}pacs.unica.it.
| Abstract |
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| Introduction |
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Interest in DDT and cancer research also springs from the wide spectrum of pseudohormonal properties of its isomers and derivatives. Ortho-para dichlorodiphenyltrichloroethylene (o,p-DDE) is a xenoestrogen (12), although its ability to attach to the human estrogen receptor in cultured cells is 140 to 300 times weaker than 17ß-estradiol, the natural estrogen (13). P-p'-DDE has antiandrogenic properties (14). Inhibition of thyroid function has also been described in relation to DDT (15). Apart from a substantial research effort dedicated to study breast cancer risk associated with internal dose of persistent DDT species, for which the overall evidence is now considered as negative (16, 17), studies of breast cancer by estrogen receptor status, as well as studies of endometrial cancer, prostate cancer, testicular cancer, and thyroid cancer, are quite rare (16, 18).
WHO lists DDT as a persistent organic pollutant to be banned worldwide, although the 2001 Stockholm convention made an important exception for countries where malaria is still endemic. These countries are allowed to keep using the insecticide because of its low cost and effectiveness against malaria vectors. Therefore, sound scientific information on the long-term health effects of DDT use is still needed to allow decision makers in developing countries, where malaria is still one of the leading causes of death, to make the best cost/benefit decisions. The present paper evaluates the mortality among a population of DDT applicators and bystanders who had been exposed to DDT during antimalarial operations in Sardinia, Italy, in 1946 to 1950.
| Materials and Methods |
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190.6 g per resident. Exact figures of the total workforce employed in the antimalarial operations are unknown, and efforts to retrieve the ERLAAS employment registers were not successful. The 1953 report by the ERLAAS director indicated that 32,000, the highest number of employed, was reached in 1948; 24,000 of these were employed in weeding and soil management operations. Based on the number of operative sectors in which the Sardinian territory was divided, each attributed to an individual pesticide applicator, we estimate that
5,000 workers had direct contact with DDT. The rest of the workforce included subjects employed in inspecting and in support occupations, such as truck drivers and warehouse workers with sporadic and indirect contact with DDT, and laboratory, administrative, and directive staff largely unexposed to the pesticide. As the operations were conducted as separate campaigns, applicators, inspectors, and weeders were hired seasonally, whereas subjects in support occupations, and laboratory, administrative, and directive staff were likely to be more of a stable workforce. It is, therefore, likely that the identified proportion of subjects engaged in the stable, less exposed jobs was larger than the same proportion in exposed jobs. In 1984 to 1986, we reviewed the materials in the ERLAAS archive to assemble a listing of the campaign employees and identified 5,339 subjects from this archive. After excluding 288 duplicates, we extracted personal identification data, job title, and period of employment for 5,051 men employed by the pest control agency in 1946 to 1950 (19). Retrospective estimate of dichlorodiphenyltrichloroethane exposure. Study subjects were classified as unexposed, directly exposed applicators, and indirectly exposed bystanders (i.e., inspectors, warehouse workers, and truck drivers) based on the occupation at the time of the antimalarial operations. Subjects with multiple occupations involving direct or indirect contact with DDT were assigned to an exposure subgroup based on the occupation with the highest exposure. We used the algorithm developed by Van Hemmen, based on the European Predictive Operator Exposure Model (EUROPOEM) database (20, 21), to estimate DDT daily exposure from inhalation and dermal contact among applicators. The model requires information on state of the product (liquid or powder), method of spraying, dose and spray volume, the representative area sprayed per day, and the application time to provide an estimate of total exposure overall and to fractionate the estimated dose by dermal and inhalation routes. To provide relevant information for the model, we extracted from a report by the last director of the pest control agency (19) the total amount of DDT used, its concentration in the mix used by the applicators (5% or 2.5% water emulsion, or 5% kerosene solution, according to the period), and the prescribed insecticide application for indoor wall surfaces and for outdoors in wetlands. We estimated the amount of DDT that each applicator applied daily, the average size of the houses that were treated, and the number of houses treated daily. Individual exposures were assessed separately for the antifly campaign, which covered the period from October through April, and for the antilarval campaign, which covered the period from May through September each year, and was conducted outdoors by treating wetlands. To estimate exposures during the antilarval phase, we considered average spring-summer weather conditions, the average size of wetlands in the average area treated daily, and DDT concentration in the insecticide mix. To calculate exposure in bystanders, we assumed that it would be similar to that of workers reentering fields after treatment. We recognize that this would not account for differences according to the job, between drivers, warehouse workers, and inspectors. The algorithm to calculate dermal exposure among bystanders was developed by Krebs et al. (22). It calculates dermal exposure in µg/person/d as a function of foliar dislodgeable residue per hectare, number of applications, transfer factor, hours of daily work, application rate, and penetration factor depending on wearing or not protective clothes. Overall, 30 time- and job-specific estimates were elaborated ranging from 54 to 140,400 µg/d. Estimates of DDT daily exposure were then multiplied by the total number of working days and summed to provide a cumulative dose of DDT.
Chlordane exposure was introduced in selected areas for antifly and antilarval purposes. Although it was not possible to distinguish chlordane users from nonusers among applicators, we considered all applicators employed during the periods when chlordane was used as possibly exposed. No quantitative estimates of chlordane exposure were developed because of the lack of measurement data. Exposure to chlordane was not assessed among bystanders.
Vital status and causes of death. Overall, 5,051 male subjects were identified. One hundred thirty-nine women employed exclusively in unexposed jobs were excluded from study. Vital status of study subjects was ascertained from first enrollment in the campaign through December 31, 1999, using the Population Registrar of the last known town of residence. Death certificates for deaths occurring before 1984 were obtained from the same source and from the Registers of the Causes of Death (RENCAM) of the Public Health Department of the Local Health Unit for deaths occurring from 1985 onwards. All the causes of death were reviewed by an expert coder (P. Cocco) and coded using the International Classification of Diseases-9th revision. Date of follow-up was started in January 1, 1956, to allow for a minimum 5-year latency period from the end of exposure, and 104 deaths identified before 1956 were excluded from study. Subjects lost to follow-up were 422 (8.4%), 395 of whom were unidentified and did not enter the follow-up and 27 contributed to person-years up to the last known date of being alive. Therefore, our cohort included 4,552 men, divided in three subcohorts: unexposed (1,291 subjects), applicators (2,578 subjects), and bystanders (683 subjects).
Statistical methods. Each cohort member contributed person-years from January 1, 1956, through December 31, 1999, the date of death, or the date he was lost from follow-up, whichever came first. We first conducted a traditional indirectly standardized mortality study. Age (5-year) and calendar-year (5-year)specific rates of the Sardinian male population, available in computerized form for the period from 1971 to 1999, were used for comparison with the mortality experience of the cohort and to calculate indirectly standardized mortality ratios (SMR). Although rates for Sardinia were available for a period shorter than the follow-up, we preferred to restrict the period of follow-up and compare the observed events in the cohort with the expected based on regional Sardinian rates because of important differences in cancer mortality between Sardinia and national Italian rates, particularly for a lower mortality from all cancers, lung cancer, and stomach cancer (23). We used the unexposed subcohort as the internal reference and conducted Poisson regression analysis to model risk of specific causes of death as a function of exposure (cumulative or average exposure and total days of exposure), age at the exit from follow-up (five categories:
50, 51-60, 61-70, 71-80,
81), age at starting exposure (two categories:
30,
31), and ethnic origin (whether born in Sardinia or elsewhere). A covariate was also created defining the calendar-year period of work during the antimalarial operations and whether it was a time when only DDT was used or when chlordane was also used. Adjustment for employment during the time when chlordane was used did not appreciably affect risk estimates, so only relative risks (RR) with adjustments for age at exit from follow-up, age at starting exposure, and ethnic origin are presented. Cumulative DDT exposure, total days of exposure, and average daily exposure (cumulative exposure/total days of exposure) were categorized into quartiles for all exposed subjects and within each exposure subgroup.
As no isolated exposure to chlordane was identifiable among this cohort, we explored the effect of chlordane exposure, categorized as ever/never exposed, on risk of mortality from selected causes in applicators only, with reference to the unexposed subgroup by using as the exposure covariate in the regression model a term accounting for the effect of DDT (below or above the median cumulative dose) isolated or with joint chlordane exposure.
Poisson regression analysis was conducted with the AMFIT program, included in the EPICURE software package. The output provides the RR associated with each covariate in the regression model, as the antilogarithm of the respective regression coefficient ß. RRs come with the respective 95% confidence intervals (95% CI), calculated according to the Wald formula, as described in the software package:
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The statistical significance of trends in relation to cumulative DDT exposure has been calculated, after considering the covariates as noncategorical, by subtracting from the total deviance of the model not including the covariate of interest, that resulting from the model including it. The value obtained follows a
2 distribution with 1 degree of freedom (24).
| Results |
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Mortality was also explored in relation to estimated level of exposure (Table 5A and B). No significant increasing trends in risk were observed by quartiles of cumulative exposure (Table 5A) or average daily exposure (Table 5B) to DDT for any cancer site. Risk of stomach cancer, however, increased with cumulative DDT exposure (and was of borderline statistical significance:
2 for trend = 3.72; 0.05 > P < 0.10) and showed increased RRs in each category of average exposure (although they did not show a monotonic increase). When trends were explored by quartiles of average daily exposure among applicators only, no significant increasing trend was observed (not shown in the tables). Significantly inverse trends by total days of exposure were observed for all cancers (test for trend = 13.69, P < 0.01) and lung cancer (test for trend = 11.24, P < 0.01). A significant inverse tend by total days of exposure was also observed for prostate cancer (test for trend = 4.28, P < 0.05).
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| Discussion |
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Birth elsewhere than Sardinia was a strong predictor of mortality from leukemia. There is no clear explanation for this finding, although it is another example where cancer mortality in the Sardinian population differs from the national figures.
Mortality from stomach cancer showed a significant 2-fold excess among DDT-exposed workers in the highest quartile of cumulative exposure. Although risks tended to increase with cumulative and average exposure, the trend was not significant. Also, no effect of latency was observed, as risk remained steady over the 45 years of follow-up and within selected time windows. Low social class and unhealthy dietary habits are the main risk factors for stomach cancer, with occupational factors playing a minor role, if any (27). Farmers have been considered at risk, and a role of pesticide exposure has been postulated (2729). However, no specific agricultural exposure has been identified and the rural association may have resulted from confounding by lifestyle habits associated with rural residence (29). We adjusted for ethnicity to partially control for differences in education and dietary habits between the unexposed, who more frequently were from non-Sardinian origin, and the exposed subcohorts. Differences in hygienic conditions of housing and diet between permanent skilled workers and temporary unskilled applicators might have generated the observed moderated excess in stomach cancer deaths among applicators.
Pancreatic cancer mortality was not elevated in our study, but as the observed deaths were very few we cannot exclude a positive association. A link with pancreatic cancer risk was suggested by Garabrant et al. (8), but inconsistent findings were recently reported in an Australian cohort, with a significant excess associated with the lowest exposure level (11), and in an U.S. case-control study by serum DDE level (30). Reasons for pancreas to be a target of human DDT carcinogenicity are unclear, although DDT and its metabolites have been suggested to play a role in the pathogenesis of exocrine pancreatic cancer through modulation of K-ras activation (31). The IARC considers cigarette smoking as an important cause of pancreatic cancer (25).
Reports of an association between cancer of the liver (9, 32), lung (24), and lymphatic and hematopoietic system (57) and DDT exposure were not confirmed in our study. We saw a slight deficit of prostate cancer among the exposed individuals. The literature on prostate cancer and DDT is conflicting. This effect has been hypothesized because of the anti-androgenic activity of p,p'-DDE, the main DDT metabolite. Excesses of prostate cancer have been observed among farmers, who may have had contact with DDT (28). A significant 37% excess risk for prostate cancer, but no evidence of a dose-response trend, has been reported among farmers exposed to DDT in the U.S. Agricultural Health Study (33). However, no association was observed in a geographic correlation study (34). Associations were also explored with chlordane exposure, as well as its interaction with DDT exposure. We saw differences in RR between those exposed to DDT alone or to DDT plus chlordane. However, interpretation is uncertain because of small numbers and the lack of precision in the definition of chlordane exposure.
A major strength in our study is the availability of exposure information that could be used to construct an approximate estimate of individual exposure. Previous studies used surrogates, such as days of exposure (11), or work records (2), or self-reported questionnaire information (57, 10) to derive qualitative indicators of DDT exposure. The U.S. Agricultural Health Study was the first to include a detailed exposure assessment (35), although estimates were based on scores and were, therefore, not comparable with our quantitative exposure estimates. Our study also had a unique pattern of pesticide exposure, which included only two pesticides, namely DDT and chlordane, with some possibility of disentangling the respective effects. The study cohort, however, is incomplete (we identified only 4,552 of
8,000 campaign workers) and this could introduce a bias if unidentified individuals differed in exposure and/or disease outcome from the identified cohort members. With the purpose of minimizing the chances of inclusion bias, we used the unexposed subcohort as the internal reference in our study. This approach would not, however, be effective if the exclusion was differential, and the DDT applicators tended to be more likely to be excluded because of death at earlier age than the less exposed or unexposed. Unfortunately, it was not possible to assess the missing workforce by job. We were able to identify 91.6% of the subjects in the agency archive, which we consider acceptable in relation to the distance in time from assembling the cohort, and we determined the vital status for 99.5% of the subjects entering the cohort. The search of death certificates was less successful, and overall they could be found for 89.8% of the deceased subjects. A reason could be the long time period covered by follow-up, with a greater proportion of losses in the early years. In fact, the proportion of death certificates not found was 18.5% in the first 10 years of follow-up (1956-1965); it decreased to 13.4% in the second decade (1966-1975); and it remained stable ranging between 8.4% and 8.6% in 1976 to 1985, 1986 to 1995, and 1996 to 1999. Also, the loss was similar between applicators (171/1,155 total deaths, 14.8%) and the unexposed subcohort (104/699 total deaths, 14.9%), whereas the proportion was smaller among bystanders (36/689, 5.2%). As the unexposed subcohort was the internal reference population, we reasonably assume that incompleteness in death certificate availability did not significantly affect the risk estimates.
The occupational exposure to DDT in this cohort being concentrated in a relatively short period may not have led to large enough differences in individual cumulative exposure to show effects. We estimated individual exposures based on the concentration of DDT in the pesticide mix and whether outdoor or indoor spray was done. The number of work days associated with each of the 30 time- and job-specific exposure estimates was a further factor differentiating individual cumulative exposures, which ranged from 0.000054 to 32.4 g. We considered such a range large enough to make evident dose-related effects, if present. Finally, the long half-life of DDT and its derivatives in the living organisms (36) extends the relevant time of the internal exposure well beyond the relatively short periods in which the high doses were accumulated from external sources. Lack of information on lifestyle factors and smoking also complicates interpretation of our data.
In conclusion, we did not find a link between occupational DDT exposure and mortality from any of the cancers previously associated with exposure to this chemical. Numbers for some causes, however, were relatively small, which limited the opportunity to identify smaller risks. Mortality deficits observed might be due to residual inclusion bias and differences in tobacco use.
| Acknowledgments |
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The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
We thank Dr. Manuela Tiramani (International Centre for Pesticide and Health Risk Prevention, Milan, Italy) for helpful comments and suggestions and Mr. Giuseppe Pinna and Dr. Vincenzo Mantega (Pest Control Agency of the Sardinian Regional Administration, Cagliari, Italy) for kindly allowing access to useful exposure information.
Received 4/29/05. Revised 7/ 9/05. Accepted 8/ 8/05.
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