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    Figure 1.

    IgG antibody positivity (percent) to Toxoplasma gondii by age in San Juan Sacatepequez, Guatemala, 1999 (n = 478). *Values above the line are the number of children.

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    Figure 2.

    IgG antibody positivity (percent) to Toxoplasma gondii by age in San Juan Sacatepequez, Guatemala, March 2003 (n = 500). *Values above the line are the number of children.

  • 1

    Frenkel JK, Dubey JP, Miller NL, 1970. Toxoplasma gondii in cats: fecal stages identified as coccidian oocysts. Science 167 :893–896.

  • 2

    Montoya JG, Liesenfeld O, 2004. Toxoplasmosis. Lancet 363 :1965–1976.

  • 3

    Gibson CL, Coleman N, 1958. The prevalence of Toxoplasma antibodies in Guatemala and Costa Rica. Am J Trop Med Hyg 7 :334–338.

  • 4

    Sinibaldi J, de Ramirez I, 1992. Incidence of congenital toxoplasmosis in live Guatemalan newborns. Eur J Epidemiol 8 :516–520.

  • 5

    Steinberg EB, Mendoza CE, Glass R, Arana B, Lopez MB, Mejia M, Gold BD, Priest JW, Bibb W, Monroe SS, Bern C, Bell BP, Hoekstra RM, Klein R, Mintz E, Luby S, 2004. Prevalence of infection with waterborne pathogens: a seroepidemiologic study in children 6–36 months old in San Juan Sacatepequez, Guatemala. Am J Trop Med Hyg 70 :83–88.

    • Search Google Scholar
    • Export Citation
  • 6

    Jones JL, Kruszon-Moran D, Wilson M, McQuillan G, Navin T, McAuley JB, 2001. Toxoplasma gondii infection in the United States: seroprevalence and risk factors. Am J Epidemiol 154 :357–365.

    • Search Google Scholar
    • Export Citation
  • 7

    SAS Version 8, 2001. Cary, NC: SAS Institute Inc.

  • 8

    Cochran WG, 1954. Some methods for strengthening the common X2 tests. Biometrics 10 :417–451.

  • 9

    Mantel N, Haenszel W, 1959. Statistical aspects of the analysis of the analysis of data from retrospective studies of disease. J Natl Cancer Inst 22 :719–748.

    • Search Google Scholar
    • Export Citation
  • 10

    Greenland S, 1994. Modeling risk ratios from matched cohort data: an estimating equation approach. Appl Stat 43 :223–232.

  • 11

    Robbins AS, Chao SY, Fonseca VP, 2002. What’s the relative risk? A method to directly estimate risk ratios in cohort studies of common outcomes. Ann Epidemiol 12 :452–454.

    • Search Google Scholar
    • Export Citation
  • 12

    Skov T, Deddens J, Petersen MR, Endahl L, 1994. Prevalence proportion ratios: estimation and hypothesis testing. Int J Epidemiol 27 :91–95.

    • Search Google Scholar
    • Export Citation
  • 13

    Remington JS, Efron B, Cavanaugh E, Simon HJ, Trejos A, 1970. Studies on toxoplasmosis in El Salvador, prevalence and incidence of toxoplasmosis as measured by the Sabin-Feldman dye test. Trans R Soc Trop Med Hyg 64 :252–267.

    • Search Google Scholar
    • Export Citation
  • 14

    Sinibaldi J, De Ramirez I, 1992. Incidence of congenital toxoplasmosis in live Guatemalan newborns. Eur J Epidemiol 8 :516–520.

  • 15

    Sacks JJ, Roberto RR, Brooks NF, 1982. Toxoplasmosis infection associated with raw goats milk. JAMA 248 :1728–1732.

  • 16

    Skinner LJ, Timperly AC, Wightman D, Chatterton JM, Ho-Yen DO, 1990. Simultaneous diagnosis of toxoplasmosis in goats and goatowner’s family. Scand J Infect Dis 22 :359–361.

    • Search Google Scholar
    • Export Citation
  • 17

    Chiari CA, Neves DP, 1984. Human toxoplasmosis acquired by ingestion of goat’s milk. Mem Inst Oswaldo Cruz 79 :337–340.

  • 18

    Bahia-Oliveira LMG, Jones JL, Azevedo-Silva J, Alves CCF, Orifice F, Addiss DG, 2003. Highly endemic, waterborne toxoplasmosis in North Rio de Janeiro State, Brazil. Emerg Infect Dis 9 :55–62.

    • Search Google Scholar
    • Export Citation
  • 19

    Etheredge GD, Frenkel JK, 1995. Human Toxoplasma infection in Kuna and Embera children in the Bayano and San Blas, eastern Panama. Am J Trop Med Hyg 53 :448–457.

    • Search Google Scholar
    • Export Citation
  • 20

    Frenkel JK, Hassanein KM, Hassanein RS, Brown E, Thulliez P, Quintero-Nunez R, 1995. Transmission of Toxoplasma gondii in Panama City, Panama: a five-year prospective cohort study of children, cats, rodents, birds, and soil. Am J Trop Med Hyg 53 :458–468.

    • Search Google Scholar
    • Export Citation
  • 21

    Glasner PD, Silveira CS, Kruszon-Moran D, Martins MC, Burnier M Jr, Silveira S, Camargo ME, Nussenblatt RB, Kaslow RA, Belfort R Jr, 1992. An unusually high prevalence of ocular toxoplasmosis in southern Brazil. Am J Ophthalmol 114 :136–144.

    • Search Google Scholar
    • Export Citation
  • 22

    Silveira C, Belfort R, Muccioli C, Abreu MT, Martins MC, Victora C, Nusssenblatt RB, Holland GN, 2001. A follow-up study of Toxoplasma gondii infection in southern Brazil. Am J Ophthalmol 131 :351–354.

    • Search Google Scholar
    • Export Citation
  • 23

    Silveira C, 2002. A Maior Epedemia do Mundo. Toxoplasmose: Duvidas e Controversias. Erechim RS, Brazil: EdiFAPES, 80.

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TOXOPLASMA GONDII INFECTION IN RURAL GUATEMALAN CHILDREN

JEFFREY L. JONESDivision of Parasitic Diseases, and Division of Bacterial and Mycotic Diseases, National Center for Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia; Medical Entomology Research and Training Unit, University de Valle de Guatemala, Guatemala City, Guatemala

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BEATRIZ LOPEZDivision of Parasitic Diseases, and Division of Bacterial and Mycotic Diseases, National Center for Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia; Medical Entomology Research and Training Unit, University de Valle de Guatemala, Guatemala City, Guatemala

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MARICRUZ ALVAREZ MURYDivision of Parasitic Diseases, and Division of Bacterial and Mycotic Diseases, National Center for Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia; Medical Entomology Research and Training Unit, University de Valle de Guatemala, Guatemala City, Guatemala

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MARIANNA WILSONDivision of Parasitic Diseases, and Division of Bacterial and Mycotic Diseases, National Center for Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia; Medical Entomology Research and Training Unit, University de Valle de Guatemala, Guatemala City, Guatemala

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ROBERT KLEINDivision of Parasitic Diseases, and Division of Bacterial and Mycotic Diseases, National Center for Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia; Medical Entomology Research and Training Unit, University de Valle de Guatemala, Guatemala City, Guatemala

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STEPHEN LUBYDivision of Parasitic Diseases, and Division of Bacterial and Mycotic Diseases, National Center for Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia; Medical Entomology Research and Training Unit, University de Valle de Guatemala, Guatemala City, Guatemala

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JAMES H. MAGUIREDivision of Parasitic Diseases, and Division of Bacterial and Mycotic Diseases, National Center for Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia; Medical Entomology Research and Training Unit, University de Valle de Guatemala, Guatemala City, Guatemala

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To determine the prevalence and risk factors for Toxoplasma gondii infection in Guatemalan children, in 1999 and 2003 we surveyed caretakers and serologically tested children in the San Juan Sacatepequez area using Platelia Toxo IgG TMB enzyme immunoassay kits. In 1999, of 532 children six months to two years old, 66 (12.4%) were antibody positive. In 2003, in 500 children 3–10 years old antibody prevalence increased from 24% to 43% at age five years then leveled off. By multivariate analysis, drinking well water (relative risk [RR] = 1.78, 95% confidence limit [CL] = 1.00, 3.17, P = 0.05) and not cleaning up cat feces (RR = 2.06, 95% CL = 1.00, 4.28, P = 0.05) increased the risk of T. gondii seropositivity. Most T. gondii infections in children from these villages occurred by age five, but half were still not infected by adolescence. Therefore, it is important to educate girls entering child-bearing age about the risks of acute T. gondii infection and the local risk factors for infection.

INTRODUCTION

Toxoplasma gondii is a protozoan parasite that is widespread in humans and many warm-blooded animals, but completes its sexual cycle producing oocysts only in the intestinal tract of the cat.1 Cats shed the environmentally resistant oocysts in their feces, which can lead to human infection when they are ingested in soil (via pica), uncooked fruits or vegetables contaminated with soil, or water. Humans may also become infected by ingesting undercooked meat from infected animals or by congenital transmission, which occurs when a woman becomes newly infected during pregnancy. Once infected, people are thought to produce IgG antibodies for life.2 After acute infection, persons with normal immune systems may be asymptomatic or develop fever, malaise, and lymphadenopathy lasting several weeks to months. Less frequently, acute infection can lead to chorioretinitis and vision impairment or loss. When a pregnant woman becomes acutely infected, severe ocular and neurologic disease may occur in the fetus or later in the infant. In addition, reactivation of subclinical chronic T. gondii infection can lead to life-threatening disease, including encephalitis, in immune suppressed persons.

In the 1950s, T. gondii seroprevalence studies in Guatemala showed high rates of infection, for example, 94% among Mayan Indians 16–70 years of age from near Escuintla, and 50% among Mayan military recruits 15–26 years of age from the central highlands.3 In these populations, more than 75% of the accumulation in prevalence occurred by 16–19 years of age. In 1987, Sinibaldi and Ramirez4 found a seroprevalence of 44% among pregnant women with a median age of 25 in an urban Guatemalan hospital. However, to the best of our knowledge, no studies have examined sera from young children in Guatemala and documented the cumulative prevalence. In this report, we present the IgG antibody prevalence for T. gondii IgG in rural Guatemalan children ≤ 10 years of age and assess their risk factors for acquiring infection.

MATERIALS AND METHODS

The study protocol was reviewed and approved by the Ethics Committee Review Board at the Universidad del Valle de Guatemala and the Institutional Review Board at the Centers for Disease Control and Prevention (CDC). Researchers from CDC and the Medical Entomology Research Training Unit (MERTU) of the Universidad de Valle de Guatemala collected study data during two time periods from children in villages in San Juan Sacatepequez, a rural area approximately 32 km west of Guatemala City at an altitude of approximately 450 meters. This region has a temperate climate with a wet season from May through October, when ≥ 27 cm of rain can fall monthly (Guatemala National Institute of Weather, 2003), and a dry season from November through April with little rainfall. The methods for the survey in the first time period, September through December 1999, have been previously described in a report about potential waterborne disease (not including T. gondii).5 Briefly, a census had recently been conducted in 10 study villages and all children 6 months to 2 years of age were invited to participate. Participation was nearly universal. The child’s age was verified by checking the birth certificate or vaccination card. Trained local field workers interviewed the mother or caretaker of each child and completed a questionnaire. The questionnaire was designed for a water treatment study and included information about demographics, household composition and characteristics, feeding practices, water use, and pets. Caretakers were given a labeled stool collection cup one day in advance and asked to collect a stool sample from their child and keep it in the shade until the visit, then give it to the interviewers. The study staff attempted to obtain a 1-mL serum specimen from each participating child using a 23-gauge butterfly needle and a 3-mL syringe, then transferred to the blood to labeled Microtainer tubes (Becton Dickinson, Franklin Lakes, NJ). Sera were transported to a freezer and stored at −70°C. In 2003 and 2004, remaining aliquots of sera were tested for IgG antibodies to T. gondii at MERTU and CDC.

Data collection for the second time period occurred in February 2003. Participants were children 3–10 years old from families that volunteered to participate in three villages near those involved in the 1999 study. The culture and living conditions were very similar in these villages to those in the 1999 study. A questionnaire specifically designed to inquire about toxoplasmosis-related risk factors was used for the survey in February 2003 and included information about cats and cat feces exposure, pets, diet, soil exposure, and water exposure. Again, trained local field workers interviewed the mother or caretaker of each child and completed the questionnaire. Blood samples were drawn using methods similar to those described above for the survey in 1999.

Laboratory testing.

All specimens were tested with the Platelia Toxo IgG TMB enzyme immunoassay (EIA) (Bio-Rad Laboratories, Hercules, CA) according to the manufacturer’s instructions. Results were reported in International Units (IU); samples with ≥ 10 IU were considered positive for IgG antibodies to T. gondii. The Platelia Toxo IgG TMB EIA kit was evaluated using a battery of 90 sera (23 negative and 67 positive) and showed a sensitivity and specificity of 100% when compared with the CDC’s immunofluorescence assay-immunoglobulin G test (with three discrepant values further verified with the dye test).6 Stool specimens were examined for ova and parasites (including Ascaris) with saline preparations and Lugol’s stain.

Data analysis.

Data analysis was performed using SAS7 software. For the data collected in 1999, associations between risk factors and T. gondii seropositivity were evaluated using a Cochran-Mantel-Haenszel statistic8,9 controlled for two age categories (6–23 months and 24–36 months). For data collected in 2003, the same Cochran-Mantel-Haenszel analysis was performed, except that it was controlled for the age categories 36–47 months, 48–59 months, 60–71 months, 72–83 months, and 84–139 months. To control for potential confounding among variables in addition to age, we performed logistic regression on those variables with a P < 0.1 in the Cochran-Mantel-Haenszel statistic. Attributable risks were determined with a log-binomial multivariate model10–12 using SAS software (GENMOD procedure, SAS Version 8; SAS Institute Inc., Cary, NC) to first estimate the relative risk, then the attributable risk (relative risk - 1/relative risk) was calculated for significant risk factors in the multivariate model. The population attributable risk was calculated by multiplying the attributable risk by the proportion of persons in the population with that specific risk factor.

RESULTS

1999 study.

Serum was collected from 532 of the 590 eligible children. Of the 532 children, 66 (12.4%) were positive for IgG antibody. Questionnaires (with age and risk information) were completed for 478 (81%) participants. Of the 478 participants, 244 (51.1%) were male, the median age was 20 months, and 49 (10.3%) were positive for IgG antibody to T. gondii. There was a rapid increase in IgG antibody seroprevalence from the ages of 1–2 years (Figure 1). Of the risk factors examined in the analysis controlled for age, only eating tomatoes once or more per week (compared with less than once per week) was associated with a reduction in risk of T. gondii IgG seropositivity (relative risk [RR] =0.45, 95% confidence limits [CL] = 0.21, 0.99, P = 0.05) (Table 1). None of the other cat feces-, soil-, meat-, or water-related risk factors, including Ascaris in the stool, were associated with T. gondii seropositivity. In multivariate analysis of all variables with a P < 0.1 (age categories, eating tomatoes greater than once per week, eating vegetables [in general] greater than once per week) in the Cochran-Mantel-Haenszel statistic, only age group remained as a significant predictor of T. gondii seropositivity.

2003 study.

Of the 546 children selected to participate in the study, 500 (92%) agreed to have a blood sample drawn and tested for antibodies to T. gondii. Of the 500, 189 (37.8%) were positive for IgG antibody to T. gondii. There was a rapid increase in T. gondii IgG antibody prevalence from ages three to five, then a leveling off in prevalence up through age 10 (Figure 2). A total of 457 caregivers completed the study questionnaire for the children. Of the 457 children, 208 (45.5%) were male, and the median age was 72 months. In analysis controlled for age only, the following variables were associated with an increased risk for T. gondii seropositivity: drinking goat’s milk compared with cow’s milk (RR = 1.74, 95% CL = 1.04, 2.92, P = 0.03), drinking well water compared with other types of water in the dry season (RR =1.42, 95% CL = 1.08, 1.88, P = 0.03) or compared with piped water (RR = 1.47, 95% CL = 1.10, 1.99, P = 0.02), and the mother not cleaning up cat feces compared with always cleaning them up (RR = 1.78, 95% CL = 1.07, 2.96, P = 0.03) (Table 2). Treating water or types of treatment were not significantly associated with risk for T. gondii seropositivity. More than 99% of the respondents indicated that that their child ate beef, more than 99% indicated that their child ate chicken, and 35% indicated that their child ate pork. No type of meat was associated with T. gondii seropositivity. Respondents indicated that nearly all meat was cooked until well done, and the frequency of eating different types of meat was not associated with T. gondii seropositivity. No other cat- or soil-related factors were associated with risk for T. gondii IgG seropositivity.

Logistic regression was performed in a model including the age categories and variables with a P < 0.1 in the Cochran-Mantel-Haenszel statistic. In addition to the age categories, these variables included well water versus other type of water, goat’s milk versus cow’s milk, owning hens versus not owning hens, and never or sometimes cleaning up cat feces versus always cleaning up cat feces. In this logistic regression model, drinking well water versus other types of water (RR = 1.78, 95% CL = 1.00, 3.17, P = 0.05) and never cleaning up cat feces versus always cleaning up (RR = 2.06, 95% CL = 1.00, 4.28, P = 0.05) were the only variables associated with seropositivity to IgG antibody for T. gondii. The attributable risk was 26% for those exposed to well water and 32% for those who never clean up cat feces. However, because a fairly small proportion of the study population drank well water (12%) or never cleaned up cat feces (29% of those answering questions about cat feces, but 7% of the study population), the population attributable risks were only 3.2% and 2.3%, respectively, for these factors.

DISCUSSION

We found that among rural Guatemalan children ≤ 10 years old, most of the increase in T. gondii antibody prevalence occurred by age 5 (to approximately 43%). The age curves among children six months to five years old start lower, but are steeper than found by Remington and others in cities in El Salvador in the 1960s using the Sabin-Feldman dye test.13 Our findings indicate that if these children were not exposed to soil-, water-, or food-related factors that lead to seroconversion at an early age, they were not very likely to seroconvert before adolescence. However, these findings also indicate that as these children mature, up to half of the young women will be susceptible to primary infection with T. gondii when they enter child-bearing age, putting their infants at risk of congenital toxoplasmosis. Rates of congenital toxoplasmosis have not been studied in this population, but would be an important area for future study. High rates of congenital toxoplasmosis were found in an urban Guatemalan hospital in 1987.14

In the Cochran-Mantel-Haenszel analysis of children 3–10 years old controlled for age, we found two known risk factors for T. gondii infection associated with T. gondii seropositivity, drinking goat’s milk and drinking local well water. Unpasteurized goat’s milk was associated with an outbreak of T. gondii infection in the United States15 and T. gondii infections thought to have occurred from goat’s milk have been reported in Great Britain16 and Brazil.17 Goat’s milk in these Guatemalan villages is generally unpasteurized. In multivariate analysis, although the risk associated with goat’s milk was elevated (RR = 1.6), the results were not statistically significant at the P = 0.05 level (P = 0.1). The second risk factor associated with T. gondii seropositivity, drinking well water, remained significant in multivariate analysis and is similar to a risk factor found in Brazil, drinking unfiltered water.18 Wells in this region of Guatemala are often shallow and open to the surface, and are likely to become contaminated with soil that may contain cat feces. A third risk factor associated with seropositivity, the mother not cleaning up cat feces, is likely to be an indicator of the presence of cat feces contaminating the soil around the household. Although the risks attributable to the two significant factors in the multivariate model were substantial for those drinking well water or not cleaning up cat feces, a relatively small proportion of the population had these risk factors.

Studies in other Central American countries have found several other risk factors associated with T. gondii seropositivity. Etheredge and Frenkel19 surveyed children 2–12 years of age in eastern Panama and found that floor type and having cats inside the home were risk factors for T. gondii seropositivity. We did not find these factors to be associated with risk in our study; however, as noted earlier, not cleaning up cat feces was a risk factor. It may be that risk was not associated with cat ownership in our survey (Table 2) because feral cats and those owned by neighbors posed as much risk in spreading oocysts as owned cats. Similar to the study by Etheredge and Frenkel, we did not find evidence for infection by tissue cysts in meat because meat was well cooked in the study villages.

Frenkel and others20 evaluated a cohort of 500 children in Panama City, Panama in 1987–1992 and found a cumulative incidence rate of 12.6% in children between one and six years of age. Elevated relative risks of T. gondii transmission to children were predicted by contact with dogs, cats, flies, much garbage, and many roaches. In the study of Frenkel and others, some of the highest relative risks for seroconversion were associated with dog contact, suggesting the possibility that dogs, by eating and rolling in cat feces, were instrumental in mechanically transmitting T. gondii infection. We did not find questions about dog ownership to be associated with T. gondii seropositivity in the Guatemalan villages in our study.

Our study has several limitations. Inability of respondents to recall events could limit the accuracy of some responses, but the questionnaire was designed to ask about general behaviors (for example, if a food is eaten more or less than once per week, or the number of times in a usual week) rather than specific events in time so that recall would be less of a problem. Seropositivity of IgG for T. gondii does not necessarily represent recent infection with T. gondii, yet the questionnaire completed by caregivers may represent more recent behavioral patterns. However, because most of the children were quite young in our two studies, T. gondii seroconversion would have occurred more recently on the average for these children then it would have for a study of adults, and therefore these children’s risk factors are more closely associated in time to their T. gondii serologic status then would be the case for adults. In addition, since living conditions in these Guatemalan villages have been fairly constant over the past decade, food-, soil-, and cat-related behaviors have probably not changed much since the children in this study were born. One consideration regarding positive IgG antibody test results in infants 6–11 months old is that the antibodies may have been passively transferred from their mother or be due to congenital infection, and therefore would reflect behaviors leading to infection in the mother rather than the child.

It should also be noted when comparing the results for the 1999 and the 2003 studies that they were done in villages in the same area of Guatemala, but the three villages in the 2003 study were not in the 1999 study. Another important consideration is that our findings should not be generalized to other regions of Guatemala or Central America where topography, population density, water supplies, sanitation, soil exposure, and cat populations may differ. Nevertheless, we feel that our findings are a good representation of the children in the indigenous villages from which the samples were drawn. As for comparing participants to non-participants in the surveys, for the 1999 study, specific age or risk factors were not available for the non-participants, so it is not possible to compare epidemiologic data for these groups. However the T. gondii seropositivity rate was higher in the non-participants (31.4% [17 of 54]) versus the participants (10.3% [49 of 478]). In the 2003 study, age was collected for all 500 persons with a serologic sample. The 43 persons with age recorded, but no other data, were a little older (median age = 84.0 months, mean = 80.2 months, SD = 28.1 months) than the 457 persons with age and other data recorded (i.e., the participants who completed questionnaires, median age = 72 months, mean = 74.1 months, SD = 26.8 months), and had a similar but slightly higher T. gondii seropositivity rate (39.5% [17 of 43] versus 37.6% [172 of 457], respectively).

Our results raise many questions. How common is congenital toxoplasmosis in this region? What are the rates of ocular disease due to toxoplasmosis (both congenital and acquired) in Guatemalan children? Are the genetic types of T. gondii found in this region of Guatemala similar to those that cause high rates of ocular disease in Brazil.21–23 Hopefully, our study will stimulate further research on this interesting organism and the diseases it causes in Guatemala and Central America.

Table 1

Potential risk factors for Toxoplasma gondii IgG antibody seropositivity in children six months to two years old in the San Juan Sacatepequez area of Guatemala, 1999, n = 478*

Characteristic Total T. gondii IgG positive† (%) Age adjusted relative risk 95% CL P
* CL = confidence limit, Ref = referent.
† IgG antibody positive means ≥ 10 International Units.
P ≤ 0.05.
§ Not age adjusted.
¶ 1–6- and 7–12 month groups were combined because there was only one child in the 1–6 month category for this factor.
# One person used bottled water.
** Four persons collected water from a roof and none used bottled water in the dry season.
†† Treated water was boiled or chlorinated, no one filtered water at this time.
Own cat 134 17 (12.7) 1.32 0.76, 2.23 0.32
Do not own cat 343 32 (9.3) Ref
Own dog 275 24 (8.7) 0.76 0.45, 1.28 0.30
Do not own dog 203 25 (12.3) Ref
Eat vegetables ≥ once/week 377 37 (9.8) 0.57 0.29, 1.09 0.09
Eat vegetables < once/week 61 10 (16.4) Ref
Eat tomatoes ≥ once/week 390 40 (10.3) 0.45 0.21, 0.99 0.05‡
Eat tomatoes < once/week 41 7 (17.1) Ref
Eat grain-water mix ≥ once/week 356 37 (10.4) 0.93 0.48, 1.79 0.83
Eat grain-water mix < once/week 176 29 (16.5) Ref
Ascaris eggs in stool 122 11 (9.02) 0.67 0.34, 1.30 0.23
No Ascaris eggs in stool 253 29 (11.5) Ref
Currently breastfeeding 300 24 (8.0) 0.89 0.45, 1.74 0.74
Not currently breastfeeding 177 25 (14.1) Ref
Age (months) first given solid food§
    1–6 57 9 (15.8) 1.61 0.82, 3.22 0.18
    7–12 296 29 (9.8) Ref
    13–18 81 8 (9.9) 1.01 0.48, 2.12 0.98
    19–36 7 0 (0.0) 0.00 0.00, 0.00 0.38
If stopped, age (months) stopped breast feeding§
    1–12¶ 44 9 (20.5) 1.25 0.53, 2.96 0.61
    13–18 77 8 (10.4) 0.63 0.26, 1.58 0.33
    19–36 49 8 (16.3) Ref
Eat chicken ≥ once/week 413 43 (10.4) 0.53 0.18, 1.53 0.26
Eat chicken < once/week 20 3 (15.0) Ref
Eat meat ≥ once/week 400 45 (11.3) 1.76 0.43, 7.23 0.42
Eat meat < once/week 36 2 (5.6) Ref
Drink cows milk ≥ once/week 39 3 (7.7) 0.68 0.22, 2.08 0.49
Drink cows milk < once/week 369 40 (10.8) Ref
Drink powdered milk ≥ once/week 76 9 (11.8) 1.14 0.58, 2.26 0.71
Drink powdered milk < once/week 333 35 (10.5) Ref
Any source of water, wet season#
    Home tap 85 10 (11.8) 1.28 0.65, 2.52 0.47
    Public tap 14 1 (7.1) 0.80 0.13, 5.12 0.82
    Spring 53 7 (13.2) 1.31 0.61, 2.80 0.49
    River 3 1 (33.3) 3.55 0.61, 20.68 0.16
    Home well 11 0 (0.0) 0.00 0.00, 0.00 0.30
    Community well 9 1 (11.1) 1.07 0.17, 6.64 0.95
    Runoff from roof 315 30 (9.5) Ref
Any source of water, dry season**
    Home tap 104 9 (8.7) 1.75 0.40, 7.61 0.45
    Public tap 19 1 (5.3) 1.00 0.11, 8.95 1.00
    Spring 223 26 (11.7) 2.21 0.57, 8.53 0.23
    River 8 0 (0) 0.00 0.00, 0.00 0.35
    Home well 41 2 (4.9) Ref
    Community well 97 12 (12.4) 2.27 0.57, 9.03 0.23
Treat stored drinking water†† 191 21 (11.0) 1.11 0.66, 1.89 0.69
Do not treat stored drinking water 287 28 (9.8) Ref
Boil water given to child
    Always 95 9 (9.5) 0.92 0.45, 1.89 0.83
    Sometimes 110 12 (10.9) 1.06 0.56, 2.02 0.85
    Never 273 28 (10.3) Ref
Chlorinate water given to child
    Always 10 1 (10.0) 0.99 0.15, 6.51 0.99
    Sometimes 21 3 (14.3) 1.41 0.48, 4.19 0.53
    Never 447 45 (10.1) Ref
Age (months) started liquids§
    1–6 105 14 (13.3) 1.62 0.65, 4.02 0.29
    7–12 268 28 (10.5) 1.27 0.55, 2.95 0.57
    13–18 73 6 (8.2) Ref
    19–36 4 0 (0.0) 0.00 0.00, 0.00 0.55
Table 2

Potential risk factors for Toxoplasma gondii IgG antibody seropositivity in children 3–10 years old in the San Juan Sacatepequez area of Guatemala, 2003, n = 457*

Characteristic Total T. gondii IgG positive† (%) Age adjusted relative risk 95% CL P
* CL = confidence limit; Ref = referent.
† IgG antibody positive means ≥ 10 International Units.
P < 0.05.
Child has activities sitting on ground 266 97 (36.5) 0.92 0.72, 1.17 0.48
No activities sitting on ground 191 75 (39.3) Ref
Child gardens or works in agriculture 66 24 (36.4) 0.95 0.68, 1.35 0.79
Does not garden or work in agriculture 387 146 (37.7) Ref
Floor of house made of dirt 394 147 (37.3) 0.93 0.67, 1.28 0.66
Floor of house not made of dirt 63 25 (39.7) Ref
Any source of drinking water (multiple answers accepted), survey done in dry season
    Well 56 29 (51.8) 1.47 1.10, 1.99 0.02‡
    Spring 41 14 (34.2) 1.03 0.65, 1.63 0.90
    River 3 1 (33.3) 1.03 0.20, 5.30 0.97
    Tanker truck 0 0 (00.0)
    Bottled water 6 4 (66.7) 1.85 1.04, 3.30 0.12
    Rain water 0 0 (00.0)
    Piped water 294 100 (34.0) Ref
    Other 57 24 (42.1) 1.22 0.86, 1.71 0.28
Any use of well water 56 29 (51.8) 1.42 1.08, 1.88 0.03‡
No use of well water 401 143 (35.7) Ref
Treat water for child 176 61 (34.7) 0.91 0.70, 1.16 0.41
No water treatment 277 108 (39.0) Ref
Male 208 73 (35.1) 0.89 0.70, 1.13 0.34
Female 249 99 (39.8) Ref
Child drinks milk 127 44 (34.7) 0.95 0.72, 1.26 0.72
Child does not drink milk 306 117 (38.2) Ref
Type of milk child drinks
    Cows 58 15 (25.9) Ref
    Goats 60 27 (45.0) 1.74 1.04, 2.92 0.03‡
Child’s cow’s milk pasteurized 66 27 (40.9) 1.44 0.85, 2.44 0.16
Child’s cow’s milk not pasteurized 59 17 (28.8) Ref
Wash vegetables and fruits before eating
    Always 104 43 (41.3) Ref
    Sometimes 86 29 (33.7) 0.81 0.56, 1.17 0.26
    Never 266 99 (21.7) 0.87 0.66, 1.15 0.34
Child plays or crawls in the soil
    Always 385 143 (37.1) Ref
    Sometimes 70 28 (40.0) 1.09 0.80, 1.48 0.60
    Never 2 1 (50.0) 1.23 0.31, 4.91 0.79
Have seen child eat dirt 57 23 (40.4) 1.08 0.77, 1.50 0.67
Have not seen child eat dirt 398 148 (37.2) Ref
Family has dog(s) 275 110 (40.0) 1.18 0.91, 1.51 0.20
Family does not have dog(s) 182 62 (34.1) Ref
Family has cat(s) 119 49 (41.2) 1.14 0.88, 1.47 0.34
Family does not have cat(s) 338 123 (36.4) Ref
Family has kitten(s) 26 12 (46.2) 1.30 0.85, 1.98 0.27
Family does not have kitten(s) 431 160 (37.1) Ref
Family has hens 379 136 (35.9) 0.76 0.57, 0.99 0.06
Family does not have hens 78 36 (46.2) Ref
Family has pigs 64 24 (37.5) 0.99 0.71, 1.34 0.97
Family does not have pigs 388 146 (37.6) Ref
Family has cows 26 9 (34.6) 0.91 0.53, 1.56 0.72
Family does not have cows 426 161 (37.8) Ref
Keep cats
    In the house 39 16 (41.0) 0.99 0.62, 1.58 0.97
    Outside the house 71 30 (42.3) Ref
    Both 9 3 (33.3) 0.68 0.29, 1.60 0.36
Keep kittens
    In the house 9 6 (66.7) 1.65 0.75, 3.65 0.24
    Outside the house 12 5 (41.7) Ref
    Both 3 0 (0.0)
Mother cleans up cat feces?
    Always 43 13 (30.2) Ref
    Sometimes 40 16 (40.0) 1.19 0.66, 2.12 0.55
    Never 34 19 (55.9) 1.78 1.07, 2.96 0.03‡
Contact with cats not owned 96 41 (42.7) 1.17 0.90, 1.53 0.27
No contact with cats not owned 357 131 (36.7) Ref
Contact with kittens not owned 72 27 (37.5) 1.02 0.74, 1.42 0.89
No contact with kittens not owned 348 127 (36.5) Ref
Seen cats in yard, not owned 333 126 (37.8) 1.04 0.80, 1.36 0.78
Not seen cats in yard, not owned 123 46 (37.4) Ref
Seen kittens in yard, not owned 83 33 (39.8) 1.10 0.82, 1.48 0.53
Not seen kittens in yard, not owned 344 125 (36.3) Ref
Cat feces in yard, do not own cats 191 73 (38.2) 1.06 0.83, 1.36 0.63
No cat feces in yard, do not own cats 235 87 (37.0) Ref
Figure 1.
Figure 1.

IgG antibody positivity (percent) to Toxoplasma gondii by age in San Juan Sacatepequez, Guatemala, 1999 (n = 478). *Values above the line are the number of children.

Citation: The American Journal of Tropical Medicine and Hygiene Am J Trop Med Hyg 72, 3; 10.4269/ajtmh.2005.72.295

Figure 2.
Figure 2.

IgG antibody positivity (percent) to Toxoplasma gondii by age in San Juan Sacatepequez, Guatemala, March 2003 (n = 500). *Values above the line are the number of children.

Citation: The American Journal of Tropical Medicine and Hygiene Am J Trop Med Hyg 72, 3; 10.4269/ajtmh.2005.72.295

Acknowledgments: We thank Drs. Carlos Mendoza and Edwin Ortega for their assistance with sample collection and field work. Authors’ addresses: Jeffrey L. Jones, Division of Parasitic Diseases, National Center for Infectious Diseases, Centers for Disease Control and Prevention, Mailstop F-22, 4770 Buford Highway NE, Atlanta, GA 30341-3724, Telephone: 770-488-7771, Fax: 770-488-7761, E-mail: jlj1@cdc.gov. Beatriz Lopez, Maricruz Alvarez Mury, and Robert Klein, Centro de Estudios en Salud, Universidad del Valle de Guatemala, 18 Avenida, 11–35 Zona 15 VH III, Guatemala City, Guatemala. Marianna Wilson and James Maguire, Division of Parasitic Diseases, National Center for Infectious Diseases, Centers for Disease Control and Prevention, Mailstop F-36, 4770 Buford Highway NE, Atlanta, GA 30341-3724. Stephen Luby, Division of Bacterial and Mycotic Diseases, National Center for Infectious Diseases, Centers for Disease Control and Prevention, Mailstop A-38, 1600 Clifton Road Atlanta, GA 30333.

REFERENCES

  • 1

    Frenkel JK, Dubey JP, Miller NL, 1970. Toxoplasma gondii in cats: fecal stages identified as coccidian oocysts. Science 167 :893–896.

  • 2

    Montoya JG, Liesenfeld O, 2004. Toxoplasmosis. Lancet 363 :1965–1976.

  • 3

    Gibson CL, Coleman N, 1958. The prevalence of Toxoplasma antibodies in Guatemala and Costa Rica. Am J Trop Med Hyg 7 :334–338.

  • 4

    Sinibaldi J, de Ramirez I, 1992. Incidence of congenital toxoplasmosis in live Guatemalan newborns. Eur J Epidemiol 8 :516–520.

  • 5

    Steinberg EB, Mendoza CE, Glass R, Arana B, Lopez MB, Mejia M, Gold BD, Priest JW, Bibb W, Monroe SS, Bern C, Bell BP, Hoekstra RM, Klein R, Mintz E, Luby S, 2004. Prevalence of infection with waterborne pathogens: a seroepidemiologic study in children 6–36 months old in San Juan Sacatepequez, Guatemala. Am J Trop Med Hyg 70 :83–88.

    • Search Google Scholar
    • Export Citation
  • 6

    Jones JL, Kruszon-Moran D, Wilson M, McQuillan G, Navin T, McAuley JB, 2001. Toxoplasma gondii infection in the United States: seroprevalence and risk factors. Am J Epidemiol 154 :357–365.

    • Search Google Scholar
    • Export Citation
  • 7

    SAS Version 8, 2001. Cary, NC: SAS Institute Inc.

  • 8

    Cochran WG, 1954. Some methods for strengthening the common X2 tests. Biometrics 10 :417–451.

  • 9

    Mantel N, Haenszel W, 1959. Statistical aspects of the analysis of the analysis of data from retrospective studies of disease. J Natl Cancer Inst 22 :719–748.

    • Search Google Scholar
    • Export Citation
  • 10

    Greenland S, 1994. Modeling risk ratios from matched cohort data: an estimating equation approach. Appl Stat 43 :223–232.

  • 11

    Robbins AS, Chao SY, Fonseca VP, 2002. What’s the relative risk? A method to directly estimate risk ratios in cohort studies of common outcomes. Ann Epidemiol 12 :452–454.

    • Search Google Scholar
    • Export Citation
  • 12

    Skov T, Deddens J, Petersen MR, Endahl L, 1994. Prevalence proportion ratios: estimation and hypothesis testing. Int J Epidemiol 27 :91–95.

    • Search Google Scholar
    • Export Citation
  • 13

    Remington JS, Efron B, Cavanaugh E, Simon HJ, Trejos A, 1970. Studies on toxoplasmosis in El Salvador, prevalence and incidence of toxoplasmosis as measured by the Sabin-Feldman dye test. Trans R Soc Trop Med Hyg 64 :252–267.

    • Search Google Scholar
    • Export Citation
  • 14

    Sinibaldi J, De Ramirez I, 1992. Incidence of congenital toxoplasmosis in live Guatemalan newborns. Eur J Epidemiol 8 :516–520.

  • 15

    Sacks JJ, Roberto RR, Brooks NF, 1982. Toxoplasmosis infection associated with raw goats milk. JAMA 248 :1728–1732.

  • 16

    Skinner LJ, Timperly AC, Wightman D, Chatterton JM, Ho-Yen DO, 1990. Simultaneous diagnosis of toxoplasmosis in goats and goatowner’s family. Scand J Infect Dis 22 :359–361.

    • Search Google Scholar
    • Export Citation
  • 17

    Chiari CA, Neves DP, 1984. Human toxoplasmosis acquired by ingestion of goat’s milk. Mem Inst Oswaldo Cruz 79 :337–340.

  • 18

    Bahia-Oliveira LMG, Jones JL, Azevedo-Silva J, Alves CCF, Orifice F, Addiss DG, 2003. Highly endemic, waterborne toxoplasmosis in North Rio de Janeiro State, Brazil. Emerg Infect Dis 9 :55–62.

    • Search Google Scholar
    • Export Citation
  • 19

    Etheredge GD, Frenkel JK, 1995. Human Toxoplasma infection in Kuna and Embera children in the Bayano and San Blas, eastern Panama. Am J Trop Med Hyg 53 :448–457.

    • Search Google Scholar
    • Export Citation
  • 20

    Frenkel JK, Hassanein KM, Hassanein RS, Brown E, Thulliez P, Quintero-Nunez R, 1995. Transmission of Toxoplasma gondii in Panama City, Panama: a five-year prospective cohort study of children, cats, rodents, birds, and soil. Am J Trop Med Hyg 53 :458–468.

    • Search Google Scholar
    • Export Citation
  • 21

    Glasner PD, Silveira CS, Kruszon-Moran D, Martins MC, Burnier M Jr, Silveira S, Camargo ME, Nussenblatt RB, Kaslow RA, Belfort R Jr, 1992. An unusually high prevalence of ocular toxoplasmosis in southern Brazil. Am J Ophthalmol 114 :136–144.

    • Search Google Scholar
    • Export Citation
  • 22

    Silveira C, Belfort R, Muccioli C, Abreu MT, Martins MC, Victora C, Nusssenblatt RB, Holland GN, 2001. A follow-up study of Toxoplasma gondii infection in southern Brazil. Am J Ophthalmol 131 :351–354.

    • Search Google Scholar
    • Export Citation
  • 23

    Silveira C, 2002. A Maior Epedemia do Mundo. Toxoplasmose: Duvidas e Controversias. Erechim RS, Brazil: EdiFAPES, 80.

Author Notes

Reprint requests: Jeffrey L. Jones, Division of Parasitic Diseases, National Center for Infectious Diseases, Centers for Disease Control and Prevention, Mailstop F-22, 4770 Buford Highway NE, Atlanta, GA 30341-3724.
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