Cancer risk and parental pesticide application in children of agricultural health study participants.

Parental exposure to pesticides may contribute to childhood cancer risk. Through the Agricultural Health Study, a prospective study of pesticide applicators in Iowa and North Carolina, we examined childhood cancer risk and associations with parental pesticide application. Identifying information for 17,357 children of Iowa pesticide applicators was provided by parents via questionnaires (1993-1997) and matched against the Iowa Cancer Registry. Fifty incident childhood cancers were identified (1975-1998). Risk of all childhood cancers combined was increased [standardized incidence ratio (SIR) = 1.36; 95% confidence interval (CI), 1.03-1.79]. Risk of all lymphomas combined was also increased (SIR = 2.18; 95% CI, 1.13-4.19), as was risk of Hodgkin's lymphoma (SIR = 2.56; 95% CI, 1.06-6.14). We used logistic regression to explore associations between self-reported parental pesticide application practices and childhood cancer risk. No association was detected between frequency of parental pesticide application and childhood cancer risk. An increased risk of cancer was detected among children whose fathers did not use chemically resistant gloves [odds ratio (OR) = 1.98; 95% CI, 1.05-3.76] compared with children whose fathers used gloves. Of 16 specific pesticides used by fathers prenatally, ORs were increased for aldrin (OR = 2.66), dichlorvos (OR = 2.06), and ethyl dipropylthiocarbamate (OR = 1.91). However, these results were based on small numbers and not supported by prior biologic evidence. Identification of excess lymphoma risk suggests that farm exposures including pesticides may play a role in the etiology of childhood lymphoma. Key words: agricultural workers, cancer, children, occupational exposure, pesticides. Environ Health Perspect 112:631-635 (2004). doi:10.1289/ehp.6586 available via http://dx.doi.org/[Online 22 December 2003]

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Despite advances in treatment, cancer remains a leading cause of childhood mortality (Ries et al. 1999), and its etiology remains poorly understood (Chow et al. 1996). Exposure to pesticides has been implicated as a possible contributing factor in the pathogenesis of childhood cancer (Daniels et al. 1997; Zahm and Ward 1998), and several pesticides are carcinogenic in bioassays [International Agency for Research on Cancer (IARC) 1986]. In two reviews (Daniels et al. 1997; Zahm and Ward 1998), parental pesticide use was fairly consistently associated with acute lymphocytic leukemia and central nervous system tumors, the two most common childhood cancers, and less consistently with Wilms tumor, Ewing's sarcoma, and soft-tissue sarcomas.

Associations between parental pesticide use and childhood cancer risk have been linked to either the mother or father. Evidence from animal models suggests that exposure of the father during the preconception period may be especially important (Buckley 1994). Although not well investigated, critical time windows for childhood carcinogenesis may include the preconception, intrauterine, and postnatal periods (Anderson et al. 2000; Olshan et al. 2000). Several previous studies have examined the relationship of paternal pesticide exposure to childhood cancer by using paternal occupation in farming as a proxy for pesticide use (Gold et al. 1982; Hemminki et al. 1981; Kristensen et al. 1996; Magnani et al. 1990; Roman et al. 1993). However, inferring pesticide exposure from paternal occupation can be an imprecise means of exposure assessment (Gold and Sever 1994). Most previous studies of pesticides and childhood cancer lack detailed information on the frequency of specific pesticide exposures, on the nature of job tasks involving pesticides, and on the possible effect of pesticide protection practices (Daniels et al. 1997; Olshan and Daniels 2000).

The Agricultural Health Study (AHS), a large, prospective cohort of licensed pesticide applicators and their families in Iowa and North Carolina, was designed to examine the relationship of pesticide exposure to adult chronic diseases and has assembled detailed information on pesticide use by farmers and their spouses (Alavanja et al. 1996). In this report, we examine cancer risk among children of pesticide applicators and draw upon the detailed pesticide exposure data provided by AHS participants to explore the relationship of childhood cancer risk to parental pesticide application practices, including specific chemical use, frequency of exposure, and protective practices employed.

Materials and Methods

The AHS is a collaborative effort of the National Cancer Institute, the National Institute of Environmental Health Sciences, and the U.S. Environmental Protection Agency. The design of the AHS is discussed in detail elsewhere (Alavanja et al. 1996). Briefly, it is a large prospective study of certified pesticide applicators and their spouses in Iowa and North Carolina. Persons applying for pesticide application licenses between 1993 and 1997 in North Carolina and Iowa were asked to participate in the study. Both private pesticide applicators (largely farmers) and commercial pesticide applicators (Iowa only) were enrolled. These analyses are limited to private pesticide applicators (farmers) because information about children was collected only from private applicators' spouses. Approximately, 82% of eligible private pesticide applicators (n = 52,395) were enrolled (Gladen et al. 1998). At enrollment, pesticide applicators were asked to complete a questionnaire providing information on pesticide application practices and health-related behaviors, and additional details on pesticide use and work practices were obtained from take-home questionnaires. Spouses were enrolled through a questionnaire brought home by the licensed applicator or by telephone. Females (applicators and spouses; n = 20,625) were also asked to complete a questionnaire on female and family health that collected information on children born during or after 1975, including names, dates of birth, and social security numbers. A total of 21,375 children born during or after 1975 were enumerated by their mothers. Of these children, 17,357 (81%) resided in Iowa and 4,018 (19%) resided in North Carolina. A subsequent linkage of mothers and fathers to Iowa birth certificates indicated that the enumeration of children via questionnaires was accurate, because 95% of these children were verified through birth certificate linkage (Romitti P, personal communication).

We used a hybrid study design, in which the prospective cohort of pesticide applicators was formed between 1993 and 1997, and cancer cases among their children were both retrospectively and prospectively identified after parental enrollment. Identifying information for children in Iowa was matched against the Iowa Cancer Registry to identify cases of childhood cancer arising between 1975 and 1998. Childhood cancer was defined as cancer diagnosed from birth through 19 years of age, which conformed with the standard SEER (Surveillance, Epidemiology, and End Results) childhood cancer classification (Ries et al. 1999). Through this linkage, 50 cancers in children of AHS participants 0-19 years of age were identified; 37 cases were a perfect match, and the remaining 13 cases were matched on name and birth date and verified using birth certificate and driver's license databases.

A similar linkage was performed with the North Carolina Central Cancer Registry for 1990-1998. The starting point was later in North Carolina because the cancer registry was not fully operational until 1990. A matching algorithm based on names, dates of birth, and social security numbers initially identified six cancer cases among North Carolina children between 0 and 19 years of age. Two of these cases were subsequently excluded because they were not invasive malignancies; the remaining four were leukemia, brain tumors, and bone tumors. Because of the small number of North Carolina cases, subsequent analyses were restricted to Iowa children,

A standardized incidence ratio (SIR) was generated to compare the observed number of childhood cancer cases identified among children of AHS participants to the expected number. The expected number of cancer cases was generated by applying age, sex, race, and time-period--specific childhood cancer rates from Iowa SEER data to the person-years contributed by eligible children in the sample, according to the method of Breslow and Day (1987).

Pesticide exposure data were obtained from self-reports by applicators and spouses. The questionnaires are available in electronic format (Agricultural Health Study Data Working Group 2002). We focused on parental pesticide mixing and application, because these tasks are associated with potentially high exposure. General questions included whether applicators personally mixed and applied pesticides (ever/never), frequency of pesticide mixing and application (days per year), and whether they personally mixed and applied pesticides > 50% of the time when pesticides were used or required mixing (yes/no). Information on ever use of 50 specific pesticides was obtained via the enrollment questionnaire. Detailed exposure information (decade of first use, and frequency and duration of use) was solicited for 22 pesticides in the initial questionnaire, and for 28 additional pesticides in the take-home questionnaire. Applicators' responses regarding decade of first use and duration of use were used to create dichotomized exposure variables that indicated whether each specific pesticide had been used before the child's birth. Children for whom timing of use was missing were excluded from this analysis. Individual pesticides were treated as separate exposure variables in the analysis when there were five or more exposed cases. Individual pesticides were also grouped into classes (organophosphates, organochlorines, carbamates, chlorphenoxy compounds, and pyrethroids) to create exposure variables based on potentially similar mechanisms of pesticide action. Applicators were also asked to indicate whether they generally used protective equipment, such as chemically resistant gloves, during pesticide application.

Although fathers were the primary licensed applicators in most households, mothers were also asked about mixing and application of pesticides (ever/never), and frequency and duration of pesticide mixing and application. Mothers were asked about mixing and application of 50 different individual pesticides, but they were not asked to provide information about timing, frequency, or duration of use for individual pesticides. For 17,280 children, the father was the primary licensed pesticide applicator. For 76 children, including one cancer case, the mother was the licensed pesticide applicator. Therefore, when the mother was the applicator, her data were more detailed than those of the remaining mothers, whereas the father's data were less detailed than those of most of fathers who were applicators. This made it difficult to combine data for children whose mothers were applicators with that for children whose fathers were applicators. The 76 children whose mothers were licensed applicators were therefore eliminated from analyses of specific parental exposures. Although mothers who were applicators had potentially higher levels of exposure, there were too few of them for a stand-alone analysis.

Logistic regression analyses were used to compute odds ratios (ORs) and 95% confidence intervals (CI), using SAS software (version 8; SAS Institute, Cary, NC, USA) to examine the association between pesticide exposure variables and childhood cancer. Multiple logistic regression models were also created to examine potential confounders of cancer risk. Parental age at child's birth, child's sex, child's birth weight, history of parental smoking (ever/never), paternal history of cancer, and maternal history of miscarriage were explored as potential additional confounders in bivariare analyses, but were not significant and were excluded from final models. Race of child was not explored as a potential confounder because the sample included very few nonwhite children. Child's age at parent's enrollment in the study was related to cancer risk ([beta] coefficient = 0.06; p = 0.02) and was included in final models.

The AHS and linking of AHS data with the Iowa and North Carolina Cancer Registries were approved by the Institutional Review Boards of the National Cancer Institute, the National Institute of Environmental Health Sciences, the University of Iowa, and Battelle.

Results

Children of AHS participants were predominantly white, with slightly fewer females than males (Table 1). In Iowa, most farms on which children reside produce grains and livestock, with field corn as the most common farm product. Most children were between 5 and 19 years of age at the time of study enrollment. Mean maternal and paternal age at enrollment was 39 and 41 years, respectively.

SIRs were generated only for Iowa (n = 50) because of the small number of cases in North Carolina (n = 4). The expected total number of cancer cases in Iowa was 37, yielding an SIR of 1.36 (95% CI, 1.03-1.79). When tumor-specific SIRs were generated, more lymphoma cases were observed (n = 9) than expected (SIR = 2.18; 95% CI, 1.13-4.19). More cases were also observed than expected for brain tumors (SIR 1.60; 95% CI, 0.89-2.89), neuroblastoma (1.26; 95% CI, 0.40-3.89), retinoblastoma (SIR = 1.63; 95% CI, 0.41-6.53), Wilms tumor (SIR = 1.56; 95% CI, 0.50-4.84), and bone tumors (SIR = 2.19; 95% CI, 0.82-5.84), but there were small numbers of these tumors.

SIRs for individual lymphoma subtypes were also examined. An increased incidence of Hodgkin's lymphoma was observed (SIR = 2.56; 95% CI, 1.06-6.14). Increased incidences of Burkitt's lymphoma (SIR = 2.67; 95% CI = 0.37, 19.0) and non-Hodgkin's lymphoma (SIR = 1.18; 95% CI = 0.29, 4.70) were observed, but few cases of these tumor types were present (Table 2).

Because of the small number of cancer cases identified, results of exposure analyses are presented only for factors involving five or more exposed cases (Table 3). All fathers reported applying pesticides, 72% repotted mixing them personally more than 50% of the time, and 77% reported applying pesticides personally more than 50% of the time that they were used on the farm. No difference in cancer risk was observed for children whose fathers personally mix pesticides > 50% of the time, compared with those whose fathers personally mix < 50% of the time (OR = 1.02; 95% CI, 0.51-2.06). Cancer risk was similar for children whose fathers personally apply pesticides > 50% of the time, compared with children whose fathers apply pesticides < 50% of the time (OR = 0.74; 95% CI, 0.37-1.51). No relationship was detected between paternal frequency of application and childhood cancer (p = 0.12). When use of protective equipment was examined, children of fathers who reported that they generally did not wear chemically resistant gloves (16%) had a 2-fold excess risk of childhood cancer (OR = 1.98; 95% CI, 1.05-3.76). Of the 49 children who developed cancer, 47 had fathers who initiated pesticide application before the child's cancer diagnosis date; data on date of initial pesticide application were missing for the remaining two children's fathers.

Although the male spouse was the primary applicator, 58% of the mothers also reported ever mixing or applying pesticides (Table 4). No difference in cancer risk was observed for children whose mothers ever mixed or applied pesticides compared with those whose mothers did not (OR = 0.73; 95% CI, 0.41-1.29). Children whose mothers applied pesticides < 5 days per year had a lower risk of cancer than did children whose mothers reported never mixing or applying pesticides (OR = 0.30; 95% CI, 0.10-0.86). For children whose mothers mixed or applied pesticides between 5 and 19 days per year (OR = 0.90; 95% CI, 0.42-1.95), or > 19 days per year (OR = 1.41; 95% CI, 0.42-4.72), cancer risk was similar to that for children whose mothers never mixed or applied pesticides (referent).

No significant associations were observed between maternal application of specific pesticides and childhood cancer risk (Table 5). For fathers, a statistically significant increase in cancer risk was associated with exposure to aldrin before conception (OR = 2.66; 95% CI, 1.08-6.59). The six childhood cancer cases that followed paternal prenatal aldrin exposure varied in site and morphology (data not shown). Excess risks that were not statistically significant were observed for dichlorvos and ethyl dipropylthiocarbamate. ORs for exposure to specific pesticide classes were each near 1.0.

We also examined associations between lymphoma and animal exposures. We observed a suggestive association with raising any farm animals (OR = 2.38; 95% CI, 0.30-19.0; eight exposed cases) and with raising cattle specifically (OR = 4.13; 95% CI, 0.86-19.9; seven exposed cases); however, there were too few exposed cases in evaluate further.

Discussion

The AHS provides a unique opportunity to examine cancer risk among children of farmer pesticide applicators whose pesticide exposure has been well characterized. This study detected a modest increase in childhood cancer risk among children of Iowa participants in the AHS. When specific cancer types were examined, risk of childhood lymphoma was 2-fold higher among children of AHS participants compared with the general population. The risk of Hodgkin's lymphoma specifically was increased. We did not detect an association between cancer risk and either paternal or maternal frequency of exposure. Father's lack of use of chemically resistant gloves was associated with increased childhood cancer risk. Although based on small numbers, it is possible that this finding may identify a high-risk application practice.

Our study is one of several to suggest that children of parents who are occupationally exposed to pesticides incur an increased risk of childhood cancer (Buckley et al. 1989; Daniels et al. 1997; Kristensen et al. 1996; Shu et al. 1988; Zahm and Ward 1998). Previous studies have most consistently implicated pesticide exposure in leukemia (Buckley et al. 1989), central nervous system tumors (Daniels et al. 1997; Zahm 1999), and new roblastoma (Daniels et al. 2001). Our study did not detect an increased risk of these tumor types but did suggest an increase for childhood lymphoma.

Few studies have previously examined risk of childhood lymphoma in association with pesticide exposure (Kristensen et al. 1996; Leiss and Savitz 1995; Schwartzbaum et al. 1991). Increased risk of non-Hodgkin's lymphoma in association with paternal or maternal pesticide exposure was previously reported (Kristensen et al. 1996; Leiss and Savitz 1995), but associations have not been reported for Hodgkin's disease (Kristensen et al. 1996; Schwartzbaum et al. 1991). In adult studies, pesticide exposure has been more frequently implicated in non-Hodgkin's lymphoma (Dich et al. 1997; Persson 1996), although a few studies have also suggested an association with Hodgkin's lymphoma (Hardell et al. 1981; Persson et al. 1989, 1993). Adult epidemiologic studies have specifically implicated organochlorines (Hardell et al. 2001; IARC 1991), organophosphorus compounds (Cantor et al. 1992; Zahm et al. 1990), and phenoxy herbicides (Hoar et al. 1986; Zahm and Blair 1992; Zahm et al. 1990) in excess lymphoma risk. A recent study of children of pesticide applicators in Sweden also described an increased risk of Hodgkin's lymphoma (SIR = 1.36; 95% CI, 0.44-3.17), although numbers of cases were too small to be conclusive and levels of pesticide exposure were not reported (Rodvall et al. 2003). This and other recent reports of increased lymphoma risk in relation to pesticide exposure (De Roos et al, 2003) strengthen the biologic plausibility of an association between pesticide exposure and lymphoma. It is also possible that the excess lymphoma incidence identified in our cohort represents exposure to a risk factor that we were unable to examine, such as Epstein-Barr virus infection (McCunney 1999).

Despite finding an overall increase in childhood cancer risk among children of pesticide applicators, we did not detect an increase in childhood cancer risk with increasing maternal or paternal frequency of pesticide exposure. The small numbers of cases and limited statistical power may have prevented us from detecting associations between frequency of pesticide use and childhood cancer risk. Our findings on mothers are limited because we lacked data on timing of exposures in relation to the child's birth. Additionally, our assessment of fathers' prenatal exposure was based on the decade of first use of pesticides and duration of use, which constitutes a broad time window. Therefore, we are unable to state whether pesticide exposure occurred only in the immediate prenatal or preconception time periods, or within a broader time window before the child's birth. Because farmers are reasonably accurate in supplying decade of first use and duration of use of pesticides (Blair et al. 2002; Hoppin et al. 2002), we are reasonably confident that prenatal paternal exposures were classified accurately. Further, pesticide exposure does appear to have preceded children's cancer diagnosis date in all cases for which timing of initial paternal pesticide application was available, strengthening the case that pesticide application temporally preceded childhood cancer. Finally, the increased childhood cancer risk in the cohort could actually reflect a factor other than pesticide exposure that we were not able to examine. The possibility that increased cancer risk within the cohort is unrelated to pesticide exposure must be considered, because we explored associations between many individual pesticides and detected few associations with cancer risk, and we did not detect a dose-response relationship between parental pesticide exposure and cancer risk.

Although power was limited for many detailed exposure analyses, we did detect an association between paternal prenatal exposure to aldrin and childhood cancer. This could be a chance finding, because recent reviews have suggested that aldrin is unlikely to have significant carcinogenic potential (IARC 1987; Sielken et al. 1999; Stevenson et al. 1999). This finding should be interpreted with caution given the lack of evidence of carcinogenicity, and lack of associations between other specific pesticide exposures and childhood cancer in our study.

The finding of an increased risk of childhood cancer associated with lack of chemically resistant glove use by the father deserves attention. Lack of glove use could reflect direct exposure to pesticides to the applicator (Rutz and Krieger 1992) and indirectly to children. Alternatively, lack of glove use could be a marker for less meticulous chemical practices in general, which could increase the opportunity for exposure to children on the farm. Such behavior has been associated with an increased risk of high-pesticide-exposure events (Alavanja et al. 2001) and thus may also be an indicator of less cautious handling of pesticides.

In conclusion, our study detected a small increase in risk of all childhood cancers combined, and lymphomas specifically, in a pesticide-exposed agricultural population. Our data suggest a modest increase in cancer risk among children of men who apply pesticides but do not use chemically resistant gloves, and among children of men who use aldrin before conception. The finding of increased lymphoma risk warrants further exploration in future studies, with improved ascertainment of pesticide exposure during critical time periods, and attention to exposure to specific chemical classes and other farm exposures.

Table 1. Demographic characteristics of 17,357
children (a) of Iowa participants in the
Agricultural Health Study.

                                           No. (%)
Sex
 Female                                  8,082 (48)
 Male                                    8,659 (52)

Race
 White                                  16,439 (96)
 Nonwhite                                  769 (4)

Child's age at enrollment (years) (b)
 <5                                      3,182 (19)
 5-9                                     3,796 (22)
 10-14                                   4,568 (26)
 15-19                                   3,795 (22)
 >19                                     1,929 (11)

Major farm crops/livestock (c)
 Field corn                             15,811 (92)
 Soybeans                               14,416 (84)
 Hogs                                    9,528 (55)
 Beef                                    7,791 (45)
 Hay                                     6,700 (39)
 Alfalfa                                 5,977 (35)
 Oats                                    5,364 (31)

(a) Children born during/after 1975; columns
may sum to < 17,357 due to missing data.

(b) Child's age at parent's enrollment in 1993-1997.

(c) Farm type by crop product; total > 1110%
because most farms produce multiple products.

Table 2. SIR (a) for cancers diagnosed at 0-19 years of
age among 17,357 children of Iowa participants in the
Agricultural Health Study, 1975-1998.

                     Observed   Expected
                      no. of     no. of
                      cancer     cancer
                      cases      cases     SIR     95% CI

Total (b)               50       36.87     1.36   1.03-1.79
Leukemia (c)             9        9.88     0.91   0.47-1.75
Lymphoma                 9        4.13     2.18   1.13-4.19
 Hodgkin's               5        1.96     2.56   1.06-6.14
 Non-Hodgkin's           2        1.70     1.18   0.29-4.70
 Burkitt's               2        0.37     2.67   0.37-19.0
Brain tumors (d)        11        6.87     1.60   0.89-2.89
Neuroblastoma            3        2.39     1.26   0.40-3.89
Retinoblastoma           2        1.22     1.63   0.41-6.53
Wilms tumor              3        1.92     1.56   0.50-4.84
Bone tumors              4        1.82     2.19   0.82-5.84
Soft-tissue tumors       3        2.57     1.17   0.38-3.62
Germ cell tumors         5        1.71     2.34   0.88-6.24

(a) Cancer rates for Iowa 1975-1998 were used as reference
standard in calculation of standardized incidence ratios.

(b) Cancers sum to < 50 because one cancer belonged to type
other than those listed.

(c) Includes eight acute lymphocytic leukemia cases.

(d) Includes six astrocytoma cases; other brain
tumor subtypes totaled five cases.

Table 3. Paternal pesticide mixing and application characteristics
and risk of childhood cancer (1975-1998) among 17,280 children of
Iowa participants in the Agricultural Health Study.

            No.       Percent   No. exposed
        exposed (a)   exposed    cases (b)    OR (c) (95% CI)

Mix pesticides personally (% of time)

 <50       3,680        21          10            Referent
 >50      12,522        72          37        1.02 (0.51-2.06)

Apply pesticides personally (% of time)

 <50       2,887        17          10            Referent
 >50      13,279        77          37        0.74 (0.37-1.51)

Frequency of mixing/application (days/year)

 <5        2,102        12           8            Referent
 5-19      9,655        56          29        0.74 (0.33-1.64)
 >19       4,494        26          10        0.62 (0.24-1.57)

Generally use chemically resistant gloves

 Yes      14,544        84          36            Referent
 No        2,732        16          13        1.98 (1.05-3.76)

(a) Totals sum to < 17,280 children due to missing exposure data.

(b) Totals sum to < 49 exposed cancer cases due to missing exposure
data.

(c) Adjusted for child's age at enrollment.

Table 4. Maternal pesticide mixing and application characteristics
and risk of childhood cancer (1975-1988) 17,280 children of Iowa
participants in the Agricultural Health Study.

        No. exposed   No. exposed
          (a) (%)      cases (b)    OR (c) (95% CI)

Mix/apply pesticides personally

 No     6,591 (38)        22            Referent
 Yes    9,974 (58)        26        0.73 (0.41-1.29)

Frequency of mixing/application (days/year)

 None   6,591 (38)        22            Referent
 <5     3,799 (22)         4        0.30 (0.10-0.86)
 5-19   2,761 (16)         9        0.90 (0.42-1.95)
 >19      587 (3)          3        1.41 (0.42-4.72)

(a) Totals sum to < 17,280 children due to missing exposure data.

(b) Totals sum to < 49 exposed cancer cases due to missing exposure
data.

(c) Adjusted for child's age at enrollment.

Table 5. Parental use of specific pesticides (a) and subsequent
childhood cancer risk among 17,280 children of Iowa participants
in the Agricultural Health Study.

                                             No.
                              No. exposed  exposed
                                  (%)       cases   OR (b) (95% CI)

Maternal use (c) (ever)
 Chlorphenoxy herbicides (d)  3,189 (19)      7     0.67 (0.30-1.49)
 Organophosphate
  insecticides (e)            4,259 (25)     14     1.10 (0.59-2.07)
 2,4-D                        3,009 (17)      7     0.72 (0.32-1.60)
 Glyphosate                   6,075 (35)     13     0.61 (0.32-1.16)
 Malathion                    3,273 (19)     11     1.12 (0.57-2.20)

Paternal use (f) (prenatal)
 Chlorphenoxy herbicides (d)  9,713 (56)     28     1.26 (0.62-2.58)
 Organochlorine
  insecticides (g)            1,840 (11)      7     1.28 (0.55-2.97)
 Organophosphate
  insecticides (e)            7,219 (42)     16     0.75 (0.36-1.58)
 Alachlor                     4,762 (28)     10     0.78 (0.38-1.60)
 Aldrin                         818 (5)       6     2.66 (1.08-6.59)
 Atrazine                     7,799 (45)     23     1.27 (0.70-2.30)
 Chlorpyrifos                 2,082 (12)      5     0.76 (0.44-3.11)
 Cyanazine                    4,165 (24)     10     0.95 (0.47-2.02)
 2,4-D                        8,769 (51)     26     1.29 (0.71-2.35)
 Dichlorvos                   1,218 (7)       6     2.06 (0.86-4.90)
 Dicamba                      4,942 (29)      9     0.69 (0.32-1.48)
 Ethyl dipropylthiocarbamate  1,600 (9)       6     1.91 (0.78-4.70)
 Glyphosate                   3,231 (19)      6     0.84 (0.35-2.34)
 Malathion                    3,343 (19)      8     0.78 (0.34-1.79)
 Metolachlor                  3,032 (18)      5     0.69 (0.26-1.84)
 Metribuzin                   2,147 (12)      5     0.86 (0.32-2.32)
 Phorate                      1,889 (11)      5     0.89 (0.34-2.34)
 Trifluralin                  6,000 (35)     17     1.14 (0.61-2.11)
 Terbufos                     2,761 (16)      5     0.72 (0.28-1.89)

(a) Individual pesticides and pesticide classes displayed
where the number of exposed cases was five or more.

(b) Adjusted for child's age at enrollment.

(c) Ever use of chemical by mother.

(d) Includes 2,4-dichlorophenoxyacetic acid (2,4-D),
2,4,5-richlorophenoxyacetic acid (2,4,5-T), and dicamba.

(e) Includes chlorpyrifos, coumaphos, diazinon, dichlorvis,
fonofos, malathion, parathion, phorate, terbufos, and
trichlorfon.

(f) Use of chemical by father before child's birth.

(g) Includes aldrin, dichloradiphenyltrichloroethane
(DDT), dieldrin, heptachlor, chlordane, lindane, and toxaphene.

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Kori B. Flower, (1) Jane A. Hoppin, (2) Charles F. Lynch, (3) Aaron Blair, (4) Charles Knott, (5) David L. Shore, (6) and Dale P. Sandler (2)

(1) Robert Wood Johnson Clinical Scholars Program and Division of Community Pediatrics, Department of Pediatrics, and Department of Maternal and Child Health, School of Public Health, University of North Carolina, Chapel Hill, North Carolina, USA; (2) Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, USA; (3) Department of Epidemiology, University of Iowa, Iowa City, Iowa, USA; (4) Occupational and Environmental Epidemiology Branch, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, USA; (5) Battelle, Durham, North Carolina, USA; (6) Westat, Durham, North Carolina, USA

Address correspondence to K.B. Flower, CB #7105, The University of North Carolina-Chapel Hill, Chapel Hill, NC 27599-7105. Telephone: [phone]. Fax: [phone]. E-mail: kori_flower@ med.unc.edu

We thank S. Long for data management, L. Margolis for manuscript review, and the Iowa and North Carolina Field Stations and Cancer Registries.

The study was funded by the intramural programs of the National Institute of Environmental Health Sciences (NIEHS), the National Cancer Institute, and the U.S. Environmental Protection Agency, and grant P30 ES05605 from the NIEHS.

The authors declare they have no competing financial interests.

Received 11 July 2003; accepted 22 December 2003.