Skip to main content
PLOS Neglected Tropical Diseases logoLink to PLOS Neglected Tropical Diseases
. 2015 Mar 10;9(3):e0003463. doi: 10.1371/journal.pntd.0003463

Impact of Helminth Infection during Pregnancy on Cognitive and Motor Functions of One-Year-Old Children

Michael O Mireku 1,2,3,*, Michael J Boivin 4, Leslie L Davidson 5, Smaïla Ouédraogo 3,6, Ghislain K Koura 7, Maroufou J Alao 8, Achille Massougbodji 9, Michel Cot 3,10, Florence Bodeau-Livinec 2,11,12
Editor: Gagandeep Kang13
PMCID: PMC4355614  PMID: 25756357

Abstract

Objective

To determine the effect of helminth infection during pregnancy on the cognitive and motor functions of one-year-old children.

Methods

Six hundred and thirty five singletons born to pregnant women enrolled before 29 weeks of gestation in a trial comparing two intermittent preventive treatments for malaria were assessed for cognitive and motor functions using the Mullen Scales of Early Learning, in the TOVI study, at twelve months of age in the district of Allada in Benin. Stool samples of pregnant women were collected at recruitment, second antenatal care (ANC) visit (at least one month after recruitment) and just before delivery, and were tested for helminths using the Kato-Katz technique. All pregnant women were administered a total of 600 mg of mebendazole (100 mg two times daily for 3 days) to be taken after the first ANC visit. The intake was not directly observed.

Results

Prevalence of helminth infection was 11.5%, 7.5% and 3.0% at first ANC visit, second ANC visit and at delivery, respectively. Children of mothers who were infected with hookworms at the first ANC visit had 4.9 (95% CI: 1.3–8.6) lower mean gross motor scores compared to those whose mothers were not infected with hookworms at the first ANC visit, in the adjusted model. Helminth infection at least once during pregnancy was associated with infant cognitive and gross motor functions after adjusting for maternal education, gravidity, child sex, family possessions, and quality of the home stimulation.

Conclusion

Helminth infection during pregnancy is associated with poor cognitive and gross motor outcomes in infants. Measures to prevent helminth infection during pregnancy should be reinforced.

Author Summary

The WHO recommends anthelmintics for pregnant women after their first trimester but the benefits remain unequivocal. Although the consequences of helminth infection during pregnancy on the health of pregnant women have been well studied, the impact on the early development of offspring has been understudied. Studies suggest that helminth infection in children may be associated with poor cognitive development, but very little is known whether a similar consequence exists for offspring of women infected with helminths during pregnancy. From our study, we found that women who had intestinal worm infection at least once during pregnancy, had children with lower cognitive and motor scores. Moreover, hookworm infection in pregnant women prior to receiving anthelminthic treatment was associated with poor gross motor functions of children at one-year of age. Based on the findings of this study, measures to prevent helminth infections during pregnancy should be reinforced.

Introduction

Intestinal helminths infect more than two billion of the world’s population, with the highest prevalence in Asia and sub-Saharan Africa.[1] The burden of intestinal helminth infection is estimated to be five million disability-adjusted life years (DALYs).[2] Helminth infections are rarely directly associated with increased mortality but are related to increased morbidity arising from the chronicity and consequences of infection.[3] Although the World Health Organization (WHO) highly recommends anthelmintic therapy for pregnant women in their second trimester[4], the benefits on anemia, congenital anomalies and perinatal mortality remains unequivocal[5]. In sub-Saharan Africa, it is estimated that one-third of pregnant women are infected with soil-transmitted helminths[6] although several studies have shown wide variation in prevalence across different countries, 11.1% in Benin[7], 25.7% in Ghana[8] and 49% in Gabon[9]. In Benin, anthelminthics are a component of the routine antenatal care (ANC) package given to pregnant women after their first trimester.[10]

A recent systematic review found little evidence that deworming in children is associated with better cognitive function, though most trials included were of poor quality.[11] A cross-sectional study revealed that compared to 7 to 18 year-old-children who were not infected with Ascaris lumbricoides and Trichuris trichiura, children who were infected with either of these species of helminth performed poorly on tests of memory and verbal fluency, respectively.[12] Over the past decades, many studies have confirmed helminth infection during pregnancy as a risk factor for maternal iron deficiency (ID) and anemia[3,13,14]. However, evidence remains limited on the effects on adverse birth outcomes such as low birth weight (LBW) [15] which is known to be associated with poorer cognitive function in children.[16] Additionally, ID and anemia during pregnancy may be associated with poor cognitive function of infants as shown in a study in rural China which revealed that children of iron deficiency anemic (IDA) women performed significantly lower than those of non-IDA women in cognitive assessment tests.[17] The rapid rate of development of fetal organs makes them particularly susceptible to prenatal insults that are injurious to fetal development, and which could influence their development persisting even after birth. The early onset of delayed cognitive development could negatively influence several aspects of child development including preparedness for school.[18] Notwithstanding the evidence that helminths are associated with these indirect threats, very little is known about the impact of helminth infection during pregnancy on actual infant cognitive development. A study in Uganda concluded that Mansonella perstans and Strongyloides stercoralis infection during pregnancy may be associated with impaired executive function in children.[19]

The objective of this study was to determine whether maternal infection with helminths, both in general and with specific helminth species, during pregnancy, is associated with cognitive and gross motor functions of one-year-old children in Benin.

Methods

Population

Our prospective cohort included singletons born to pregnant women who were enrolled before 29 weeks of gestation in the Malaria in Pregnancy Preventive Alternative Drugs (MiPPAD) clinical trial (NCT00811421) comparing sulfadoxine-pyrimethamine and mefloquine as intermittent preventive treatment of malaria in pregnancy (IPTp). The study was conducted in the district of Allada in Benin. One thousand and five HIV-negative pregnant women attending their first ANC visit in the health centers in each of the three sub districts of Allada (Sekou, Allada and Attogon) were recruited. Detailed inclusion and exclusion criteria in the MiPPAD trial are explained elsewhere.[7]

All live born children of recruited pregnant women who survived to 12 months were invited for neurocognitive assessment in the TOVI study (Fon language: Tovi means Child from the country).

Variables

Pregnant women

Socio-demographic and clinical data were collected at three ANC visits; at recruitment (first ANC visit), during the 2nd dose of IPTp (second ANC visit, at least one month after recruitment) and at delivery. At first ANC visit, information on gravidity, gestational age, anthropometric data and socio-demographic characteristics including age, education, and occupation were collected. Details of biological assessments for pregnant women and how prepregnancy BMI was calculated have been described in an earlier publication.[7] More specifically, data on maternal helminth infection comes from a parallel cohort study (Anemia in Pregnancy: Etiologies and Consequences “APEC”) which was nested within the MiPPAD trial.[20] At ANC visits, women were given IPTp, iron and folic acid as part of the ANC package in Benin. Women were also given a total of 600 mg of mebendazole (100 mg twice daily for 3 days) at the first ANC visit and again if they were tested positive for helminths at second ANC visit. Intake of mebendazole was not directly monitored. Containers were given to pregnant women to collect stool samples from the next morning after the ANC visits. Since it was difficult to obtain stool samples when women were in labor, where possible, stool samples were collected 15 days prior to the expected date of delivery or within a week after delivery.

Thick smears of retrieved stool samples were immediately prepared and assessed using the Kato-Katz technique as described by the WHO[21]. One of the two slides prepared from each sample was systematically and independently examined by two laboratory technicians under a microscope. The mean of the two results was calculated and reported. To obtain the standardized fecal egg counts (FEC), in eggs per gram of stool (epg), for each individual stool sample, the counted number of eggs for each species of helminth was multiplied by twenty-four. T. trichiura, A. lumbricoides and S. mansoni were not independently considered as specific exposures in the univariate and multivariate analyses owing to their low prevalence throughout pregnancy. Also, due to the low intensity of hookworms in our study population, the WHO cut-off for classification[22] was not applicable. Instead, the intensity of helminth infection was categorized using the median as a cut-off value. In this article, helminth infection is defined as the presence of at least one egg of any species of helminth in the stool.

Gestational age was assessed according to fundal height at delivery.

Within three days after the cognitive assessments of children at age one year, a different nurse conducted home visits during which information on family possessions was collected and the Raven’s Progressive Matrices (RPM) test was conducted. A score was generated for family possessions, which was the sum of individual scores given to specific items owned by the family of the pregnant woman thus whether the home had electricity or car (each scoring 3), a motorcycle or television (each scoring 2) and a radio, bicycle, motorcycle, or cattle (each scoring 1). The RPM uses an approach which does not require verbal proficiency to provide an estimate of intelligence quotient[23].

Infants

As part of the APEC study, stool samples were collected from a subsample of children (N = 186) at 6, 9 or 12 months for examination for helminths. At the health centers, trained research nurses individually assessed the cognitive function of 635 one-year-old infants using the Mullen Scales of Early Learning (MSEL) from April 2011 to November 2012. The MSEL which comprises of five scales, gross motor, fine motor, visual reception, receptive language and expressive language, was adapted to this setting prior to its use in this study.[24]

From the raw scores obtained by infants in each MSEL scale, normalized age specific (monthly) scores called the t-scores were generated. T-scores of the visual reception, fine motor, receptive language and expressive language scales were then combined to form the Early Learning Composite (ELC) score, which is indicative of early cognitive function.[25] Detailed quality assurance and reliability of assessment have already been published.[24] Briefly, five assessors were trained by MJB and FBL in the field and retrained three times. Difficulties to be discussed with FBL and MJB were reviewed during weekly meetings. Inter-rater reliability was checked.

The Home Observatory Measurement of the Environment (HOME) inventory was administered three days after MSEL assessment during the home visit. The HOME inventory, adapted for this setting, was used to assess the quality of the home environment including the parent-child interaction and the learning opportunities available to the child at home.[26] After training and pilotting, changes were made to six items in the HOME inventory to suit our study setting. For example, one item regarding the child being outside of the house was removed as children spend most of the day outside. Description of how the HOME inventory was administered has been detailed in a previous publication. [24]

Statistical analyses

We first described and compared the baseline characteristics of women with singleton live births whose children were assessed and those whose children were not assessed for cognitive function. Secondly, we performed univariate analyses to assess crude associations between the ELC and the gross motor scores with helminth infection, helminth species, helminth density, co-infection with malaria, and covariates [maternal prepregnancy body mass index (BMI), family possessions, maternal occupation, education, the RPM and HOME scores]. These covariates were considered as potential confounding factors as they are known risk factors for poor cognitive development and may share common causes with helminth infection. Next, we conducted a multiple linear regression adjusting for covariates whose p-values were less than 0.20 in the univariate analysis. Finally, we performed stepwise removal of covariates from the model if they were found not be statistically significant. From the final model, we evaluated the adjusted mean difference in ELC and gross motor scores. Infant characteristics at birth or age one-year including birth weight, preterm birth and infant helminth infection were hypothesized to be within the causal pathway (as mediators). All multivariate models were adjusted for infant sex. Although infant characteristics (preterm births, low birth weight, and weight-for-age at MSEL assessment) were hypothesized to be mediators in the association between prenatal helminth infection and infant cognitive function, we adjusted for these variables in a sensitivity analyses.

Statistical analyses were conducted using Stata IC/11.2 for Windows (StataCorp Lp, College station, TX). We used Pearson’s correlation to assess the associations between the dependent variables and other continuous variables. The student t-test, Wilcoxon rank sum test and chi-squared test were used to compare means, medians and proportions, respectively. Statistical significance was defined as p-value less than 0.05.

Ethical considerations

The study was approved by the institutional review boards of the University of Abomey-Calavi in Benin, New York University and Michigan State University in USA and the Research Institute for Development’s (IRD) Consultative Ethics Committee in France. At recruitment, we obtained written informed consent from all pregnant women and guardians of children who participated in this study in the presence of a witness. Women who could not read and write provided thumbprints to confirm their agreement to participate in the study after a nurse had explained the study.

Results

General characteristics of participants

As shown in Fig. 1, 863 live born singletons were enrolled into the birth cohort but 35 died before the age of one year leaving 828 eligible children. Of these, 635 (76.7%) were assessed for cognition using MSEL at approximately one year of age. The median age during MSEL assessments was 12.1 months (range: 11.3–15.3 months). Two children were not able to complete all of the MSEL subtests, leaving 633 children who were fully assessed. Maternal baseline characteristics were similar between women whose children were fully assessed for cognitive function and those whose children were not, as shown in Table 1. Also there was no significant difference between infant characteristics between children assessed and those not assessed.

Fig 1. Flowchart outlining the follow-up of participating pregnant women until their children were one year old.

Fig 1

The rate of follow-up of eligible children from birth till age one was 76.7%.

Table 1. Comparison of maternal baseline characteristics at first ANC visit and infant characteristics between children fully assessed and those not fully assessed for cognitive function.

Characteristics Cognitive assessment status P-value
Fully assessed Not/partially assessed
(N = 633) (N = 230)
Mothers
Age in years [median (range)] 25 (17–45) 25 (13–42) 0.472
Gestational age in weeks [median (range)] 22 (10–28) 23 (8–28) 0.190
Gravidity
    Primigravidae 117 (18.5) 38 (16.5) 0.507
    Multigravidae 516(81.5) 192 (83.5)
Education
    Never schooled 418 (66.0) 156 (67.8) 0.622
    Primary or more 215 (34.0) 74 (32.2)
Occupation
    Housewives 313 (49.4) 107 (46.5) 0.447
    Employed 320 (50.6) 125 (53.5)
Prepregnancy BMI (kg/m²)
    Underweight (<18.5) 111 (17.5) 33 (14.4) 0.355
    Normal (18.5–24.9) 456 (72.0) 167 (72.6)
    Overweight/Obese (≥25.0) 66 (10.4) 30 (13.0)
Malaria
    Positive 101 (15.8) 31 (13.8) 0.371
    Negative 532 (84.2) 199 (86.2)
Infants
Sex
    Male 310 (49.0) 104 (45.2) 0.329
    Female 323 (51.0) 126 (54.8)
Birth weight (kg) a
    Low (<2.5) 56 (9.5) 28 (13.3) 0.124
    Normal (≥2.5) 531 (90.5) 182 (86.7)
Gestational age at birth (weeks) b
    Preterm (<37) 43 (7.0) 17 (8.0) 0.631
    Not Preterm (≥37) 572 (93.0) 196 (92.0)
Weight at 1 year (kg) c 8.4 NA

Figures are number (percentage) unless otherwise indicated

aN = 797

bN = 828

cN = 626

BMI-Body Mass Index

Helminth infection among pregnant women and among children

At first ANC visit, the prevalence of helminth infection was 11.5% of which hookworm infections were the most prevalent (9.5%). Of the 52 women with hookworm infections at the second ANC visit, 12 were infected with the same species at first ANC (see Table 2 for prevalence and density of helminths). The prevalence (95% CI) of helminth infection among children by age one was 32.8% (26.0%-39.6%).

Table 2. Descriptive assessment of helminth infection in enrolled mother- infants pairs from Benin with follow-up from 29 weeks gestation through child's 1st year of life.

Characteristics Infected N (%) or median (range)
Helminth infection
    At 1st ANC visit 98 (11.5)
    During 2nd ANC visit 62 (7.5)
    At delivery 21 (3.0)
Helminth species at 1st ANC visit
    Hookworms 81 (9.5)
    Ascaris lumbricoides 9 (1.1)
    Trichuris trichiura 7 (0.8)
    Schistosoma mansoni 2 (0.2)
Helminth species at 2nd ANC visit
    Hookworms 52 (6.3)
    Ascaris lumbricoides 7 (0.9)
    Trichuris trichiura 5 (0.6)
    Schistosoma mansoni
Helminth species at delivery
    Hookworms 19 (2.7)
    Ascaris lumbricoides 2 (0.3)
    Trichuris trichiura
    Schistosoma mansoni
Helminth infection over the course of pregnancy (2 categories)
    Never infected 540 (77.8)
    Infected at least once 154 (22.2)
Helminth infection over the course of pregnancy (3 categories)
    Never infected 540 (80.2)
    Infected only once 108 (16.1)
    Infected twice or more 25 (3.7)
Hookworm density at 1st ANC visit (epg) 72 (24–2736)
Hookworm density at 2nd ANC visit (epg) 72 (24–1416)
Hookworm density at delivery (epg) 120 (24–912)
Hookworm infection over the course of pregnancy (3 categories)
    Never infected 553 (82.5)
    Infected only once 102 (15.2)
    Infected twice or more 15 (2.2)
Helminth infection by age one year 61 (32.8)
Helminth species in Children by age one year (N = 186)
    Hookworms 8 (4.3)
    Trichuris trichiura 39 (20.9)
    Ascaris lumbricoides 8 (4.3)
    Schistosoma mansoni 3 (1.6)
    Entorobius vermicularis 3 (1.6)

epg- eggs per gram of stool

—indicates no egg found on laboratory examination

ANC- Antenatal Care

Maternal characteristics and ELC and gross motor scores

Maternal education, occupation, family possession, RPM and HOME scores and infant weight-for-age were associated with ELC and gross motor scores. Of note, maternal malarial infection was not statistically significantly associated with ELC and gross motor scores (see Table 3). Infant ELC and gross motor scores increased with increasing prepregnancy BMI class. As shown in Table 3, children born preterm and those with low birth weight had lower ELC and gross motor scores, respectively.

Table 3. Association between maternal and infant socio-demographic and anthropometric characteristics and early learning composite (ELC) and gross motor scores.

Characteristics ELC score Gross motor score
N = 634 Mean P-value Mean P-value
Mothers
Gravidity
    Primigravidae 99.8 0.323 48.2 0.021
    Multigravidae 98.3 51.6
Maternal Education
    None 96.4 <0.0001 49.4 <0.001
    Some 102.9 54.1
Maternal Occupation
    Housewives 96.3 <0.001 49.2 0.003
    Employed 100.8 52.7
Prepregnancy BMI
    Underweight 96.3 0.061 48.9 0.029
    Normal 98.7 50.9
    Overweight/Obese 101.5 54.8
Family Possession score a 0.1 b 0.004 0.2 b <0.0001
RPM score a 0.1 b 0.035 0.1 b 0.002
HOME score a 0.2 b <0.0001 0.2 b <0.0001
Malaria at 1st ANC
    Positive 100.4 0.162 51.2 0.362
    Negative 98.2 49.8
Malaria at 2nd ANC
    Positive 100.7 0.465 56.1 0.086
    Negative 98.5 50.9
Infants
Sex
    Male 97.9 0.227 51.9 0.101
    Female 99.3 50.1
Birth weight (kg) b
    Low (<2.5) 97.6 0.630 45.3 0.002
    Normal (≥2.5) 98.5 51.7
Gestational age at birth (weeks) c
    Preterm (<37) 95.9 0.007 51.0 0.951
    Not Preterm (≥37) 99.5 51.1
Weight for age at 1 year (kg) d 0.1 b <0.001 0.2 b <0.0001
Helminth infection by 1 yeare
    Positive 99.4 0.539 52.8 0.337
    Negative 100.8 50.6

ANC- Antenatal Care

BMI-Body Mass Index

a N = 629

bN = 588

c N = 594

dN = 627

eN = 182

b Represented as Correlation coefficients not means

Socio-demographic characteristics and maternal helminth infection

As shown in Table 4, maternal occupation and educational status were associated with helminth infection at second ANC visits. Family possessions score was associated with helminth infection at both ANC visits.

Table 4. Association between helminth infection at ANC visits and maternal and infant characteristics.

Helminth infection at 1st ANC Helminth infection at 2nd ANC
N (%) P-value N (%) P-value
Gravidity
    Primigravidae 20 (13.2) 0.484 11 (7.2) 0.889
    Multigravidae 78 (11.2) 51 (7.6)
Maternal Education
    Never schooled 72 (12.8) 0.109 51 (9.3) 0.005
    Primary or more 26 (9.1) 11 (3.9)
Maternal Occupation
    Housewives 53 (12.8) 0.242 40 (10.0) 0.009
    Employed 45 (10.3) 22 (5.2)
Prepregnancy BMI
    Underweight 20 (14.2) 0.498 14 (3.0) 0.156
    Normal 69 (11.2) 45 (7.6)
    Overweight/Obese 9 (9.6) 3 (3.2)
HOME score (median) a 27 (27) 0.642 27 (27) 0.411
Raven score (median) a 15 (15) 0.733 15 (15) 0.937
Family Possession (median) a 5 (5) 0.044 4 (5) 0.021
Malaria at 1st ANC visit
    Positive 18 (13.9) 0.366 12 (9.5) 0.366
    Negative 80 (11.1) 50 (7.2)
Malaria at 2nd ANC visit
    Positive 5 (15.2) 0.576 3 (8.8) 0.736
    Negative 92 (11.6) 59 (7.5)
Infant helminth infection
    At least once 5 (8.5) 0.336 6 (9.8) 0.573
    Never 6 (4.8) 9 (7.3)

BMI-Body Mass Index

a Represented as median scores for women with helminth infection (median scores for uninfected women)

Prenatal helminth infection and infant cognitive and gross motor functions

The difference in mean ELC scores between children whose mothers were infected with helminths at first ANC visit and those whose mothers were not infected with any helminth remained significant after adjusting for maternal education, child sex and HOME score (p = 0.013). Pregnant women who were infected with helminths at least, once during pregnancy had children with poorer ELC scores, thus-4.4 (95% CI: -7.2 to-1.5) compared to those of mothers who were never infected during pregnancy after adjustment (see Table 5).

Table 5. Relationship between helminth infection during pregnancy and mean scores of infant cognitive and gross motor function at age 1 year.

Mean difference in ELC scores Mean difference in gross motor scores
Crude beta [95%CI] Adjusted beta[95%CI] a Adjusted beta[95%CI] b Adjusted beta [95%CI] c Adjusted beta [95%CI] d
Helminth infection
    At 1st ANC visit -4.2 [-7.6, -0.7]* -4.3 [-7.6, -0.9]* -4.3 [-7.7, -1.0]* -3.9 [-7.3, -0.4]* -4.4 [-7.9, -1.0]*
    At 2nd ANC visit -5.1 [-9.0, -1.1]* -3.9 [-7.8, -0.0]* -3.5 [-7.4, 0.3] -2.2 [-6.1, 1.7] -1.6 [-5.5, 2.4]
    At delivery -1.9 [-9.4, 5.6] -0.2 [-7.5, 7.1] -0.0 [-7.4, 7.4] 5.3 [-2.0, 12.6] 5.2 [-2.2, 12.9]
Hookworm
    At 1st ANC visit -3.3[-7.1, 0.5] -3.7 [-7.3, 0.0] -4.0 [-7.7, -0.3]* -4.9 [-8.6, -1.1]* -5.5 [-9.3, -1.8]**
    At 2nd ANC visit -6.0 [-10.3, -1.6]** -4.7 [-8.9, -0.5]* -4.4 [-8.6, -0.2]* -2.7 [-7.0, 1.5] -2.2 [-6.5, 2.1]
    At delivery -1.1 [-8.9, 6.6] 0.6 [-7.0, 8.1] 1.1 [-6.6, 8.8] 6.9 [-0.7, 14.5] 7.2 [-0.6, 15.1]
Hookworm density at 1st ANC visit
    Not infected (ref) 0 0 0 0 0
    Moderate (≤72, median) -2.5 [-7.4, 2.5] -3.2 [-8.1, 1.6] -3.5 [-8.4, 1.4] -5.4 [-10.3, -0.5]* -6.5 [-11.4, -1.5]*
    High (>72) -4.4 [-9.9, 1.1] -4.2 [-9.5, 1.2] -4.6 [-9.9, 0.6] -4.1 [-9.6, 1.2] -4.4 [-9.7, 0.9]
Hookworm density at 2nd ANC visit
    Not infected (ref) 0 0 0 0 0
    Moderate (≤72, median) -5.2 [-10.4, 0.1] -3.9 [-9.0, 1.2] -3.7 [-8.9, 1.4] -3.1 [-8.2, 2.0] -2.6 [-7.8, 2.7]
    High (>72) -7.4 [-14.6, -0.2]* -6.2 [-13.2, 0.9] -5.7 [-12.9, 1.4] -2.0 [-9.2, 5.2] -2.1 [-9.3, 5.1]
Hookworm density at delivery
    Not infected (ref) 0 0 0 0 0
    Moderate (≤120, median) -2.8 [-13.3, 7.8] -0.6 [-10.9, 9.6] 0.1 [-10.0, 10.2] 6.7 [-3.5, 17.0] 8.2 [-2.1, 18.5]
    High (>120) 0.8 [-10.6, 12.1] 2.0 [-9.0, 13.0] 2.5 [-9.3, 14.4] 7.1 [-3.9, 18.2] 5.9 [-6.1, 18.0]
Occurrence of helminth infection over the course of pregnancy
    Never infected (ref) 0 0 0 0 0
    At least once -4.9 [-7.8, -2.1]*** -4.4 [-7.2, -1.5]** -4.1 [-7.0, -1.3]** -2.9 [-5.7, -0.0]* -2.8 [-5.7, 0.1]
Malaria-helminth co-infection
    At 1st ANC visit -4.0 [-12.1, 4.1] -3.1 [-11.1, 4.9] -2.2 [-10.1, 5.7] -3.1 [-11.1, 4.9] -2.0 [-9.9, 5.8]
    At 2nd ANC visit e 8.6 [-18.9, 35.2] 9.5 [-17.2, 36.2] 10.2 [-16.1, 36.4] 25.3 [-2.1, 52.7] 26.7 [-0.4, 53.8]

Unless otherwise stated, reference group were children of women who were not infected at either 1st ANC visit, 2nd ANC visit or at delivery

ANC- Antenatal Care ref-reference category

*P-value <0.05

** P-value <0.01

*** P-value <0.001

a Adjusted for maternal education, child sex and HOME score

b Adjusted for maternal education, child sex, HOME score, preterm status and child weight-for-age

c Adjusted for maternal education, gravidity, child sex, family possessions and HOME score

d Adjusted for maternal education, gravidity, child sex, family possessions, HOME score, preterm status and child weight-for-age

e Only one assessed child had a mother with malaria-helminth co-infection at 2nd ANC visit.

After adjusting for gravidity, maternal education, family possession, child sex and HOME score, helminth infection at first ANC visit was negatively associated with infant gross motor function (p = 0.028). We observed that mothers who were infected with hookworms during the first ANC visit had children who scored less in the gross motor scale, -4.9 (95% CI: -8.6 to-1.1), compared to those whose mothers were never infected with hookworms at first ANC visit. With the exception of the association between gross motor scores and the occurrence of helminth infection over the course of pregnancy, sensitivity analyses performed by further adjusting for infant preterm status and weight-for-age, yielded similar results in the association between infants gross motor function and prenatal helminth infection. Helminth infection at second ANC was no longer statistically significantly associated with infant ELC scores after sensitivity analyses, p = 0.074 (see Table 5). Further adjustment for LBW (not preterm birth) and weight-for-age showed similar conclusions in the sensitivity analyses. We performed multiple regression analysis further adjusting for research nurses and found little difference in the results.

Discussion

Our study has shown that intestinal helminth infection at first ANC visit is associated with poorer infant cognitive and gross motor functions at the age of one-year after adjusting for other known risk factors of cognitive and gross motor development. In our study population, prenatal hookworm infection was related to lower performance in gross motor tests. Our results also reveal that helminth infection at least once during pregnancy may have negative consequences on the cognitive and motor development of infants.

Our study is one of the few large prospective mother-child cohorts with relatively low attrition rate in francophone Africa[27] and including several assessments during pregnancy. To our knowledge, our study is the first to assess the impact of prenatal helminths on the psychomotor development of infants taking into account data from different stages of pregnancy. In addition, we used a comprehensive assessment for neurodevelopment carried out by research nurses specifically trained by an expert in cognitive assessment in African countries (co-author MJB). An additional strength of this study is the consideration of several potential confounding factors such as socio-economic status, maternal depression and RPM and HOME scores. Malaria has also been assessed several times during pregnancy allowing for the study of the impact of malaria-helminth co-infection on child development. Despite low power due to the low prevalence of co-infection, our results do not suggest a higher impact on child development of helminths when associated temporally with malaria. Maternal demographic and reproductive characteristics were also comparable between children lost to follow-up and those included in the study hence selection bias is unlikely.

Since pregnant women recruited in the trial had adequate antenatal care including at least, two ANC visits with treatment for helminth infection at first ANC visit (apart from emergency visits), our results are likely to underestimate the effect of prenatal helminth on infant cognitive function in the general population that may attend fewer ANC visits and receive fewer treatments. Also, the low sensitivity of the Kato-Katz technique for helminths[28] may have resulted in measurement error but since, in this prospective cohort, the assessment of helminth status was independent of the performance of infant in the MSEL at age 1 year, the misclassification would probably be non-differential of infant cognitive and motor scores thus the association may be biased towards the null. The low prevalence of A. lumbricoides, T. trichiura and S. Mansoni did not permit us to study their independent impact on infant cognitive function. Given that treatment was given to women after their first ANC visit, the number of chronic infections was low in our study. Therefore, the effect of chronicity of untreated prenatal helminth infection on child development could not be evaluated. By definition, helminth infection is chronic until treatment. Women testing positive for helminths may have been chronically infected prior to their first ANC visit. However, testing positive for helminth infection at second ANC visit and/or at delivery after being infected with helminths at first ANC does not specifically indicate chronicity. Instead it could indicate reinfection after being treated following mebendazole administration at first ANC visit. Our study is also limited in the inability to assess the presence of prenatal S. haematobium as urine samples were not examined for eggs of this species. Due to the low proportion of children assessed for helminth infection, we were not able to adjust for infants’ infections in models. Species of helminth in mothers and infants were largely different, yet regardless of the species there was no correlation between helminth infection in mothers and children. This therefore suggests that the association between maternal helminths and child development may be independent of infants’ helminths.

Apart from a cohort study that was nested within the Entebbe Mother and Baby Study in Uganda[19], we did not identify any published study on the impact of prenatal helminths on cognition in offspring. The negative relationship witnessed between maternal helminth infection and infant cognitive development in our study is consistent with the general conclusion in the aforementioned study. Converse to the findings of our studies, the authors found no association between maternal hookworm infection and infant neurocognitive development. One explanation may be that Nampijja et al.[19] excluded pregnant women presenting severe anemia (Hb concentration<80g/L). They also included some maternal and infant characteristics (such as maternal hemoglobin level and birth weight) in their final model. It is important to note that our study population had a low prevalence and a low intensity of helminth infection according to WHO classifications of the community endemic levels[22] and few cases of multiple infections with different helminth species.

The mechanism by which prenatal helminth infection influences infant cognitive function remains unknown. However, helminth infection especially with hookworms is a known risk factor for ID. When hookworms penetrate the intestinal mucosa of a host, they ingest the host’s blood causing intestinal blood loss and erythrocytes lysis[29]. This could result in IDA[30] which may be disadvantageous during pregnancy because of the increased physiological demand for iron. Studies have shown that in very iron deficient mothers, maternal serum ferritin concentration is correlated with that of the neonate[31] while decreased concentration is associated with a decrease in brain iron concentration[32] which could in turn alter hippocampal development of the neonate[33]. A study among one-year-old children found that, those born with inadequate brain iron stores (≤34μg/L cord ferritin) had lower psychomotor function and auditory recognition memory than those with adequate brain iron stores.[34]

Helminths may be associated with several adverse birth outcomes that could mediate the pathway between prenatal helminth infection and infant cognitive development. Although findings from clinical trials reveal no beneficial effect of anthelminthic treatment on LBW and preterm births[35], a large community study of about 5000 pregnancies in Nepal showed an increased risk of LBW and infant mortality among the children of women who did not receive antenatal anthelminthic treatment[36]. Notwithstanding the contradictory effects of prenatal helminth infection on birth outcomes, adverse birth outcomes have been confirmed by some studies to be associated with infant cognitive development.[3739] Our results, after sensitivity analyses, however suggest that other plausible unmeasured factors could also account for the observed association between prenatal helminth infection and child development.

It is unlikely that increased susceptibility of children of infected mothers to helminth infection explains for the decreased ELC and gross motor scores, as there was no association between prenatal helminth infection and infant helminth infection by age one. Moreover, the pattern of helminth species varied in the mothers compared to the children. T. trichuris was the most prevalent species of helminths in children (20.9%) contrary to high hookworm prevalence in pregnant women.

Mebendazole is a broad-spectrum anthelminthic drug that is effective against several intestinal helminths. However, it has lower cure rates and fecal egg reduction rates for hookworms than albendazole.[40] In our study, although infection by any helminths at second ANC visits was not associated with poor cognitive or gross motor function, hookworm infection remained associated with ELC scores. This could be due to either the re-exposure of pregnant women to hookworms even after mebendazole administration or low cure rates against hookworms. Although we did not monitor the adherence to mebendazole treatment, the decline in parasite density at second ANC visit observed in the majority of pregnant women infected with the same species than at first ANC visit (see S1 Table) suggests good adherence.

Conclusion

This study provides evidence of an association between intestinal helminths and hookworms among pregnant women and poor cognitive and gross motor functions in their children at approximately 12 months of age. In view of these findings and as recommended by the WHO, measures to prevent helminth infections should be reinforced. Further studies are needed to corroborate our findings and explain the pathophysiological mechanisms of this relationship.

Supporting Information

S1 Table. Parasite density among 10 women infected with hookworm at first and second ANC visit.

(DOCX)

S2 Table. Data on cognitive function of children.

(XLSX)

Acknowledgments

We sincerely thank all mothers and children who participated in this study. We also thank the staff of the three health centers (Allada, Attogon, Sékou). We are grateful to the entire TOVI and MiPPAD field personnel who were involved in data collection especially Romeo Zormenou and Manfred Accrombessi.

Data Availability

The authors confirm that all relevant data are within the present article and its Supporting Information files, and in an article published in Plos Medicine [González R, Mombo-Ngoma G, Ouédraogo S, Kakolwa MA, Abdulla S, et al. (2014) Intermittent Preventive Treatment of Malaria in Pregnancy with Mefloquine in HIV-Negative Women: A Multicentre Randomized Controlled Trial. PLoS Med 11(9): e1001733. doi:10.1371/journal.pmed.1001733]. We cannot provide data on pregnant women from Clinical Trial as this will breach compliance with the protocol approved by the research ethics board. Access to this data from the MiPPAD study may be available upon request through The MiPPAD Executive Committee (Dr. Raquel Gonzalez at +34-932-275-400 or raquel.gonzalez@cresib.cat).

Funding Statement

The Eunice Kennedy Shriver National Institute of Child Health & Human Development (NIH/NICHD) funded The TOVI study, grant R21-HD060524. The MiPPAD trial (NCT00811421) was co-funded by the European and Developing Countries Clinical Trials Partnership (EDCTP- IP.07.31080.002). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1. Hall A, Hewitt G, Tuffrey V, De Silva N. (2008) A review and meta-analysis of the impact of intestinal worms on child growth and nutrition. Matern Child Nutr 4:118–236. 10.1111/j.1740-8709.2007.00127.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Murray CJL, Vos T, Lozano R, Naghavi M, Flaxman AD, et al. (2012) Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. The Lancet 380: 2197–2223. 10.1016/S0140-6736(12)61689-4 [DOI] [PubMed] [Google Scholar]
  • 3. Brooker S, Hotez PJ, Bundy DAP. (2008) Hookworm-Related Anaemia among Pregnant Women: A Systematic Review. PLoS Negl Trop Dis 2(9):e291 10.1371/journal.pntd.0000291 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.World Health Organization. WHO media centre. (2013) Soil-transmitted helminth infections. Available at: http://www.who.int/mediacentre/factsheets/fs366/en/. Accessed July 16, 2013.
  • 5. Elliott AM, Ndibazza J, Mpairwe H, et al. (2011) Treatment with anthelminthics during pregnancy: what gains and what risks for the mother and child? Parasitology 138(Special Issue 12):1499–1507. 10.1017/S0031182011001053 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Bundy DA, Chan MS, Savioli L (1995) Hookworm infection in pregnancy. Trans R Soc Trop Med Hyg 89: 521–522. [DOI] [PubMed] [Google Scholar]
  • 7. Ouédraogo S, Koura GK, Accrombessi MMK, Bodeau-Livinec F, Massougbodji A, Cot M. (2012) Maternal anemia at first antenatal visit: prevalence and risk factors in a malaria-endemic area in Benin. Am J Trop Med Hyg 87(3):418–424. 10.4269/ajtmh.2012.11-0706 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Yatich NJ, Yi J, Agbenyega T, Turpin A, Rayner JC, et al. (2009) Malaria and Intestinal Helminth Co-infection Among Pregnant Women in Ghana: Prevalence and Risk Factors. Am J Trop Med Hyg 80: 896–901. [PubMed] [Google Scholar]
  • 9. Adegnika AA, Ramharter M, Agnandji ST, et al. (2010) Epidemiology of parasitic co-infections during pregnancy in Lambaréné, Gabon. Trop Med Int Health 15(10):1204–1209. 10.1111/j.1365-3156.2010.02598.x [DOI] [PubMed] [Google Scholar]
  • 10. Bodeau-Livinec F, Briand V, Berger J, et al. (2011) Maternal Anemia in Benin: Prevalence, Risk Factors, and Association with Low Birth Weight. Am J Trop Med Hyg 85(3):414–420. 10.4269/ajtmh.2011.10-0599 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Taylor-Robinson DC, Maayan N, Soares-Weiser K, Donegan S, Garner P. (2012) Deworming drugs for soil-transmitted intestinal worms in children: effects on nutritional indicators, haemoglobin and school performance. Cochrane Database of Systematic Reviews Issue 11. Art. No.: CD000371. [DOI] [PubMed]
  • 12. Ezeamama AE, Friedman JF, Acosta LP, Bellinger DC, Langdon GC, et al. (2005) Helminth Infection and Cognitive Impairment Among Filipino Children. Am J Trop Med Hyg 72: 540–548. [PMC free article] [PubMed] [Google Scholar]
  • 13. Dreyfuss ML, Msamanga GI, Spiegelman D, Hunter DJ, Urassa EJ, et al. (2001) Determinants of low birth weight among HIV-infected pregnant women in Tanzania. Am J Clin Nutr 74: 814–826. [DOI] [PubMed] [Google Scholar]
  • 14. Getachew M, Yewhalaw D, Tafess K, Getachew Y, Zeynudin A. (2012) Anaemia and associated risk factors among pregnant women in Gilgel Gibe dam area, Southwest Ethiopia. Parasit Vectors 5(1):296. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Boel M, Carrara VI, Rijken M, et al. (2010) Complex Interactions between Soil-Transmitted Helminths and Malaria in Pregnant Women on the Thai-Burmese Border. PLoS Negl Trop Dis 4(11):e887 10.1371/journal.pntd.0000887 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Tong S, Baghurst P, McMichael A. (2006) Birthweight and cognitive development during childhood. J Paediatr Child Health 42(3):98–103. [DOI] [PubMed] [Google Scholar]
  • 17. Chang S, Zeng L, Brouwer ID, Kok FJ, Yan H (2013) Effect of iron deficiency anemia in pregnancy on child mental development in rural China. Pediatrics 131: e755–e763. 10.1542/peds.2011-3513 [DOI] [PubMed] [Google Scholar]
  • 18. Martin LT, Fitzmaurice GM, Kindlon DJ, Buka SL. (2004) Cognitive performance in childhood and early adult illness: a prospective cohort study. J Epidemiol Community Health 58(8):674–679. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Nampijja M, Apule B, Lule S, et al. (2012) Effects of Maternal Worm Infections and Anthelminthic Treatment during Pregnancy on Infant Motor and Neurocognitive Functioning. J Int Neuropsychol Soc 18(06):1019–1030. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Ouédraogo S, Bodeau-Livinec F, Briand V, et al. (2012) Malaria and gravidity interact to modify maternal haemoglobin concentrations during pregnancy. Malar J 11(1):348. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.World Health Organization (1994) Bench aids for the diagnosis of intestinal parasites. Available: http://apps.who.int/iris/handle/10665/37323. Accessed 7 August 2013.
  • 22. WHO Expert Committee. (2002) Prevention and control of schistosomiasis and soil-transmitted helminthiasis. World Health Organ Tech Rep Ser 912: 1–57. [PubMed] [Google Scholar]
  • 23. Raven J. (2000) The Raven’s Progressive Matrices: Change and Stability over Culture and Time. Cognit Psychol 41(1):1–48. [DOI] [PubMed] [Google Scholar]
  • 24. Koura KG, Boivin MJ, Davidson LL, et al. (2013) Usefulness of Child Development Assessments for Low-Resource Settings in Francophone Africa. J Dev Behav Pediatr JDBP 34:486–493 10.1097/DBP.0b013e31829d211c [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Mullen EM (1995) Mullen Scales of Early Learning: AGS Edition. Circle Pines, Minnesota: American Guidance Service. [Google Scholar]
  • 26. Caldwell BM, Bradley RH (2001) Home Inventory Administration Manual. University of Arkansas for Medical Sciences. 158 p. [Google Scholar]
  • 27. Campbell A, Rudan I (2011) Systematic review of birth cohort studies in Africa. J Glob Health 1: 46–58. [PMC free article] [PubMed] [Google Scholar]
  • 28. Tarafder MR, Carabin H, Joseph L, Balolong E Jr, Olveda R, McGarvey ST. (2010) Estimating the sensitivity and specificity of Kato-Katz stool examination technique for detection of hookworms, Ascaris lumbricoides and Trichuris trichiura infections in humans in the absence of a “gold standard.” Int J Parasitol 40(4):399–404. 10.1016/j.ijpara.2009.09.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Hotez PJ, Brooker S, Bethony JM, Bottazzi ME, Loukas A, Xiao S. (2004) Hookworm Infection. N Engl J Med 351(8):799–807. [DOI] [PubMed] [Google Scholar]
  • 30. Crompton DWT, Nesheim MC. (2002) Nutritional Impact of Intestinal Helminthiasis During the Human Life Cycle. Annu Rev Nutr 22(1):35–59. [DOI] [PubMed] [Google Scholar]
  • 31. Shao J, Lou J, Rao R, et al. (2012) Maternal serum ferritin concentration is positively associated with newborn iron stores in women with low ferritin status in late pregnancy. J Nutr 142(11):2004–2009. 10.3945/jn.112.162362 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Petry CD, Eaton MA, Wobken JD, Mills MM, Johnson DE, Georgieff MK. (1992) Iron deficiency of liver, heart, and brain in newborn infants of diabetic mothers. J Pediatr 121(1):109–114. [DOI] [PubMed] [Google Scholar]
  • 33. Tran PV, Fretham SJB, Carlson ES, Georgieff MK. (2009) Long-term reduction of hippocampal brain-derived neurotrophic factor activity after fetal-neonatal iron deficiency in adult rats. Pediatr Res 65(5):493–498. 10.1203/PDR.0b013e31819d90a1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Siddappa AM, Georgieff MK, Wewerka S, Worwa C, Nelson CA, Deregnier R-A. (2004) Iron deficiency alters auditory recognition memory in newborn infants of diabetic mothers. Pediatr Res 55(6):1034–1041. [DOI] [PubMed] [Google Scholar]
  • 35. Ndibazza J, Muhangi L, Akishule D, et al. (2010) Effects of Deworming during Pregnancy on Maternal and Perinatal Outcomes in Entebbe, Uganda: A Randomized Controlled Trial. Clin Infect Dis 50(4):531–540. 10.1086/649924 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Christian P, Khatry SK, West KP Jr. (2004) Antenatal anthelmintic treatment, birthweight, and infant survival in rural Nepal. The Lancet 364: 981–983. [DOI] [PubMed] [Google Scholar]
  • 37. Geva R, Eshel R, Leitner Y, Valevski AF, Harel S. (2006) Neuropsychological Outcome of Children With Intrauterine Growth Restriction: A 9-Year Prospective Study. Pediatrics 118(1):91–100. [DOI] [PubMed] [Google Scholar]
  • 38. Huang C, Martorell R, Ren A, Li Z. (2013) Cognition and behavioural development in early childhood: the role of birth weight and postnatal growth. Int J Epidemiol 42(1):160–171. 10.1093/ije/dys207 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Shenkin SD, Starr JM, Deary IJ. (2004) Birth Weight and Cognitive Ability in Childhood: A Systematic Review. Psychol Bull 130(6):989–1013. [DOI] [PubMed] [Google Scholar]
  • 40. Steinmann P, Utzinger J, Du Z-W, Jiang J-Y, Chen J-X, et al. (2011) Efficacy of Single-Dose and Triple-Dose Albendazole and Mebendazole against Soil-Transmitted Helminths and Taenia spp.: A Randomized Controlled Trial. PLoS ONE 6: e25003 10.1371/journal.pone.0025003 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Table. Parasite density among 10 women infected with hookworm at first and second ANC visit.

(DOCX)

S2 Table. Data on cognitive function of children.

(XLSX)

Data Availability Statement

The authors confirm that all relevant data are within the present article and its Supporting Information files, and in an article published in Plos Medicine [González R, Mombo-Ngoma G, Ouédraogo S, Kakolwa MA, Abdulla S, et al. (2014) Intermittent Preventive Treatment of Malaria in Pregnancy with Mefloquine in HIV-Negative Women: A Multicentre Randomized Controlled Trial. PLoS Med 11(9): e1001733. doi:10.1371/journal.pmed.1001733]. We cannot provide data on pregnant women from Clinical Trial as this will breach compliance with the protocol approved by the research ethics board. Access to this data from the MiPPAD study may be available upon request through The MiPPAD Executive Committee (Dr. Raquel Gonzalez at +34-932-275-400 or raquel.gonzalez@cresib.cat).


Articles from PLoS Neglected Tropical Diseases are provided here courtesy of PLOS

RESOURCES