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Maternal fish and other seafood intakes during pregnancy and child neurodevelopment at age 4 years

Published online by Cambridge University Press:  01 October 2009

Michelle A Mendez*
Affiliation:
Center for Research in Environmental Epidemiology (CREAL)/Municipal Institute of Medical Research (IMIM-Hospital del Mar), 88 Dr Aiguader Street, Barcelona, E-08003, Spain CIBER Epidemiologia y Salud Pública (CIBERESP), Spain
Maties Torrent
Affiliation:
Àrea de Salut de Menorca, IB_SALUT, Menorca, Spain
Jordi Julvez
Affiliation:
Center for Research in Environmental Epidemiology (CREAL)/Municipal Institute of Medical Research (IMIM-Hospital del Mar), 88 Dr Aiguader Street, Barcelona, E-08003, Spain
Nuria Ribas-Fitó
Affiliation:
Center for Research in Environmental Epidemiology (CREAL)/Municipal Institute of Medical Research (IMIM-Hospital del Mar), 88 Dr Aiguader Street, Barcelona, E-08003, Spain
Manolis Kogevinas
Affiliation:
Center for Research in Environmental Epidemiology (CREAL)/Municipal Institute of Medical Research (IMIM-Hospital del Mar), 88 Dr Aiguader Street, Barcelona, E-08003, Spain CIBER Epidemiologia y Salud Pública (CIBERESP), Spain
Jordi Sunyer
Affiliation:
Center for Research in Environmental Epidemiology (CREAL)/Municipal Institute of Medical Research (IMIM-Hospital del Mar), 88 Dr Aiguader Street, Barcelona, E-08003, Spain CIBER Epidemiologia y Salud Pública (CIBERESP), Spain Universitat Pompeu Fabra, Barcelona, Spain
*
*Corresponding author: Email [email protected]
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Abstract

Objective

To analyse the relationship between maternal intakes of fish and other seafood during pregnancy and child neurodevelopment at age 4 years. Although pregnant women are advised to limit seafood intakes because of possible neurotoxin contamination, several studies suggest that overall maternal seafood intakes are associated with improved child neurodevelopment, perhaps because of higher DHA intakes.

Design

The study uses data from a prospective birth cohort study. Maternal seafood intakes were assessed using a semi-quantitative FFQ administered shortly after delivery. Multivariate linear regression was used to estimate associations between seafood consumption and scores on the McCarthy Scales of Children’s Abilities (MCSA). Analyses were stratified by breast-feeding duration as breast milk is a source of DHA during the postnatal phase of the brain growth spurt.

Setting

Menorca, Spain, 1997–2001.

Subjects

Full-term children (n 392) with data on maternal diet in pregnancy, breast-feeding duration and neurodevelopment at age 4 years.

Results

Among children breast-fed for <6 months, maternal fish intakes of >2–3 times/week were associated with significantly higher scores on several MCSA subscales compared with intakes ≤1 time/week. There was no association among children breast-fed for longer periods. Maternal intakes of other seafood (shellfish/squid) were, however, inversely associated with scores on several subscales, regardless of breast-feeding duration.

Conclusions

The study suggests that moderately high intakes of fish, but not other seafood, during pregnancy may be beneficial for neurodevelopment among children breast-fed for <6 months. Further research in other populations with high seafood intakes and data on additional potential confounders are needed to confirm this finding.

Type
Research Paper
Copyright
Copyright © The Authors 2008

Numerous studies suggest that deficiencies of key micronutrients during the brain growth spurt, which occurs in the last trimester of pregnancy and the first 2 years of life, may have lasting effects on neurodevelopment(Reference McCann and Ames1Reference Helland, Smith, Blomen, Saarem, Saugstad and Drevon9). Among these nutrients, there is evidence that several long-chain PUFA, particularly the n-3 fatty acid DHA, may be essential for optimal brain function. DHA is not widely distributed in the diet but is predominantly concentrated in fish, with, on average, lower levels in other types of seafood(Reference Kris-Etherton, Taylor, Yu-Poth, Huth, Moriarty, Fishell, Hargrove, Zhao and Etherton10Reference Mahaffey12). It has been hypothesized that higher DHA levels may at least partly explain the positive associations between maternal fish consumption during pregnancy and measures of child development reported in several studies(Reference Hibbeln, Davis, Steer, Emmett, Rogers, Williams and Golding13Reference Oken, Radesky, Wright, Bellinger, Amarasiriwardena, Kleinman, Hu and Gillman16). Maternal supplies strongly influence offspring levels of this nutrient during this period(Reference Heird and Lapillonne2, Reference Matorras, Perteagudo, Sanjurjo and Ruiz17). DHA is actively transported across the placenta(Reference Dutta-Roy18) and is supplied through breast milk during the postnatal stage of the brain growth spurt(Reference Jensen, Maude, Anderson and Heird19). Levels are substantially higher in the plasma of pregnant women who eat fish frequently or are supplemented with fish oils(Reference Innis and Elias20, Reference Innis21).

On the other hand, seafood is also a common source of neurotoxic contaminants such as methylmercury (MeHg)(Reference Myers, Davidson and Cox22, Reference Davidson, Myers and Weiss23). Pregnant women must therefore weigh the potential risks as well as the benefits of fetal exposure to substances found in seafood(Reference Mozaffarian and Rimm24). Umbilical cord MeHg or maternal hair Hg have been associated with poorer offspring performance in developmental tests in several(Reference Oken, Wright, Kleinman, Bellinger, Amarasiriwardena, Hu and Gillman14, Reference Grandjean, Weihe, White, Debes, Araki, Yokoyama, Murata, Sorenson, Dahl and Jorgensen25), though not all(Reference Daniels, Longnecker, Rowland and Golding15, Reference Myers, Davidson and Cox22) studies. Because of the potential risks, US and UK government agencies have issued advice that pregnant women limit seafood intakes to 340 g or about 3 servings per week(26, 27). To date, few studies have examined relationships between seafood consumption in pregnancy and child neurodevelopment, and these studies have not reported adverse effects of exceeding this threshold(Reference Hibbeln, Davis, Steer, Emmett, Rogers, Williams and Golding13Reference Daniels, Longnecker, Rowland and Golding15). The present study examines relationships between consumption of fish and other seafood in pregnancy and children’s performance in cognitive and motor skills tests at age 4 years using data from a longitudinal cohort study conducted in the Spanish Mediterranean island of Menorca, a setting where seafood consumption is common(Reference Welch, Lund and Amiano28, Reference Romieu, Torrent, Garcia-Esteban, Ferrer, Ribas-Fito, Anto and Sunyer29).

Methods

Details on the design and data collection methods have been given previously(Reference Sunyer, Torrent, Garcia-Esteban, Ribas-Fito, Carrizo, Romieu, Anto and Grimalt30, Reference Julvez, Ribas-Fito, Torrent, Forns, Garcia-Esteban and Sunyer31). Briefly, 482 (95 % participation) pregnant women were recruited from prenatal clinics in Menorca over 12 months in 1997–8. Mothers provided signed informed consent, and the study was approved by the ethics committee of the Institut Municipal d’Investigació Mèdica. At recruitment, interviewers collected data from mothers including maternal age, education, parity, smoking habits and pre-pregnancy weight. Maternal height was measured by trained staff. Mothers reported usual diet during the course of pregnancy using an FFQ administered by interviewers 3 months after delivery(Reference Romieu, Torrent, Garcia-Esteban, Ferrer, Ribas-Fito, Anto and Sunyer29, Reference Chatzi, Torrent, Romieu, Garcia-Esteban, Ferrer, Vioque, Kogevinas and Sunyer32). Infant height, weight and gestational age were obtained at birth; information on feeding practices including breast-feeding was collected in follow-up surveys at 6 and 14 months. Measures of child neurodevelopment, dietary intakes and physical activity patterns were collected at age 4 years.

The analysis sample (n 392) excluded preterm children (<37 weeks’ gestation, n 23), who have known differences in intellectual development compared with term births(Reference Lucas, Morley, Cole, Gore, Davis, Bamford and Dossetor33, Reference Der, Batty and Deary34), as well as those without developmental test/schooling (n 64) or breast-feeding duration (n 3) data. Multivariate analyses also excluded subjects missing data on maternal education or weeks of gestation (n 18). Children without test scores were somewhat less likely to have mothers with post-secondary education (P = 0·08), although there were no differences in fathers’ education (P = 0·99). There were no other differences among those with and without testing data in terms of child (sex, birth weight, gestational age, breast-feeding duration, fish consumption at age 4 years) or other maternal (fish consumption in pregnancy, age, parity, obesity, smoking during pregnancy) characteristics.

Study variables

Developmental tests

To assess neurodevelopment, the Spanish version of the McCarthy Scales of Children’s Abilities (MCSA) tests was administered by two trained psychologists, as previously described(Reference Julvez, Ribas-Fito, Torrent, Forns, Garcia-Esteban and Sunyer31). The global cognitive scale and five subscales (perceptive-performance, memory, verbal, quantitative and motor) were used to assess children’s abilities. Scores were previously standardized to a mean of 100 with a standard deviation of 15 points to increase comparability across scales.

Seafood consumption

Maternal seafood consumption was estimated from an interviewer-administered, semi-quantitative, forty-two-item FFQ that included questions about fish, octopus/squid and shellfish consumption. Shellfish and squid were analysed separately from fish, as these types of seafood have, on average, a lower DHA content(Reference Mahaffey12). Intakes were converted to weekly amounts based on reported consumption per day (×7), week, month (×7/30) or year (×7/365) and categorized based on distribution patterns in the data. Fish intake frequencies were categorized as ≤1 time/week, >1 to 2 times/week, >2 to 3 times/week and >3 times/week, the last exceeding recommended maximum seafood intake levels. Other seafood (squid and shellfish) intake frequencies were categorized as ≤0·5 time/week, >0·5 to 1 time/week and >1 time/week. Overall seafood intakes were categorized roughly in quartiles as ≤1·5 times/week, ≥1·5 to 2 times/week, >2 to 3 times/week and >3 times/week. Children’s seafood consumption at age 4 years, reported by mothers using the same questionnaire, was classified using the same methods and intake categories.

Covariates

The primary covariates included: (i) maternal education and parity; (ii) child sex, birth weight and weeks of gestation; (iii) breast-feeding duration; and (iv) child age at test administration, current trimester/grade and psychologist administering the test. Models simultaneously adjusted for maternal intakes of fish and other seafood, as well as child seafood consumption at age 4 years. Other potential covariates were excluded for parsimony, as they did not confound associations between maternal fish consumption and child development, including maternal age, pre-pregnancy overweight/obesity (BMI ≥ 25·0 kg/m2), smoking during pregnancy, social class based on occupation, child overweight at 4 years (Centers for Disease Control and Prevention/WHO reference(35)), as well as other aspects of maternal diet in pregnancy (dietary supplement, meat, fruit, vegetable, alcohol and coffee intakes) and children’s current diets (meat, fruit and vegetable intakes). Confounding was defined as a change-in-estimate ≥10 % for maternal fish intake variables.

Statistical analysis

Standardized test scores and other sample characteristics were described across maternal fish consumption categories using means and proportions with χ 2 or ANOVA tests. Interactions between maternal fish intakes and breast-feeding duration were assessed, as breast milk is an alternative source of DHA. Descriptive analyses were also conducted stratified by breast-feeding duration since interactions with breast-feeding duration were significant (multivariate-adjusted P < 0·05 using weeks continuously or greater than/equal to v. less than the recommended 6 months for general cognitive, memory and numeric scores; P < 0·10 for perceptual-performance and verbal scores). Multivariate linear regression was used to examine associations between maternal fish and other seafood intakes and performance on the MCSA global and sub-tests, adjusting for the covariates listed above. Coefficients represent the mean difference in standardized test scores compared with children whose mothers reported intakes in the referent category. Separate models were run to examine effects of overall maternal seafood intakes v. fish and other types of seafood, examined independently. To improve comparability with overall seafood intakes, fish intakes were categorized using the same groups as all types of seafood in some models; results were meaningfully unchanged.

In supplementary models, we confirmed that results were similar after excluding children who were never breast-fed (17·1 %), omitting non-consumers (3·3 %) or women with the highest fish intakes (>4 times/week, n 7), separating shellfish and squid intakes; separately categorizing subjects with other seafood intakes >2 times/week (n 21) or >3 times/week (n 6); excluding overweight and obese mothers (18·8 %) or women with higher education (15·3 %); and excluding potentially influential observations based on change in β (not shown). Stratifying by maternal education also yielded similar results among women with higher, secondary and primary education or less (not shown). Adjusting for the usual type of fish consumed (white fish (59·8 %) v. oily fish) did not affect findings (not shown). We also examined the effects of adjusting for cord blood levels of several contaminants potentially associated with neurodevelopment: DDT (2,2-bis(p-chlorophenyl)-1,1,1-trichloroethane), DDE (2,2-bis(p-chlorophenyl)-1,1-dichloroethylene) and polychlorinated biphenyls (PCB; the sum of congeners 25, 52 101, 118, 138, 153 and 180)(Reference Alvarez-Pedrerol, Ribas-Fito, Torrent, Carrizo, Grimalt and Sunyer36Reference Boersma and Lanting38). These compounds did not confound associations with maternal fish consumption and were omitted from the final models. Multiple imputation was used to assess the impact of incorporating subjects with missing test score data, using variables such as maternal education, parity, child sex and birth weight as predictors. Associations were meaningfully the same as in the complete case analysis (not shown).

Results

Maternal fish consumption

The mean (sd) weekly intake of fish during pregnancy was 1·69 (1·5) servings. About half of the women (49·2 %) reported eating fish ≤1 time/week during pregnancy, with few (3·3 %) non-consumers (Table 1). Among women with higher intakes, 32·9 % reported eating fish >1–2 times/week, 12·8 % reported fish consumption >2–3 times/week and 5·1 % consumed fish >3 times/week. Fish represented 57·7 % of women’s overall seafood intakes. Women who consumed more fish also had higher intakes of other seafood (P < 0·05, ANOVA) and reported higher fish intakes among their children at age 4 years (P < 0·05, ANOVA).

Table 1 Characteristics of the sample by maternal fish intake in pregnancy: full-term children (n 392) from a prospective birth cohort study, Menorca, Spain, 1997–2001

n 13 (3·3 %) women never ate fish.

P value from ANOVA or χ 2 test.

§Overweight/obese includes all women with BMI ≥ 25·0 kg/m2.

Fish consumption in pregnancy was not related to the subsequent duration of breast-feeding or to numerous maternal characteristics including higher education, smoking during pregnancy and pre-pregnancy overweight (Table 1). More frequent fish consumption was associated with higher parity overall and among women who breast-fed for ≥6 months (P < 0·05, χ 2 test), but not among women who breast-fed for shorter periods (P>0·10, χ 2 test). Parous women also reported higher intakes of other types of seafood than nulliparous women (not shown). Unlike fish, however, intakes of squid and shellfish were related to maternal education, with more frequent consumption reported by women with primary v. higher levels of education (46·6 % v. 34·0 % with intake >1 time/week; P < 0·05, χ 2 test). Intakes of these other types of seafood were not related to other sociodemographic variables examined or with breast-feeding duration (not shown).

Maternal fish consumption, breast-feeding and neurodevelopment

In descriptive analyses, standardized global cognitive and subscale scores were highest among children whose mothers reported fish intakes of >2–3 times/week (global and perceptual-performance scores v. other intake categories; P < 0·05, ANOVA; Table 2). However, the small group whose mothers reported fish intakes >3 times/week had mean scores similar to those with intakes of ≤1 time/week (P > 0·10 for all scores, ANOVA). Moreover, fish consumption was associated with higher scores only among children breast-fed for <6 months. In these children, maternal intakes of >2–3 times/week v. ≤1 time/week were associated with increases of 5·9 to 8·6 points compared with intakes of ≤1 time/week (P < 0·05 for all but the motor skills subscale, ANOVA), although children breast-fed for ≥6 months had higher mean scores than those breast-fed for shorter periods (P < 0.05 for all but the motor skills score, two-sided t test; not shown). However, maternal fish consumption was not strongly or consistently associated with test performance among these children (Table 2).

Table 2 Mean test scores† at age 4 years by maternal fish intake frequency during pregnancy: full-term children (n 392) from a prospective birth cohort study, Menorca, Spain, 1997–2001

†Scores standardized to a mean (sd) of 100 (15).

P values from ANOVA comparing scores for intakes of >2–3 times/week v. other intakes.

§P values from ANOVA comparing mean scores among children breast-fed for ≥6 months v. <6 months were significant for all except the motor skills subscale.

Multivariate associations resembled the descriptive analysis (Table 3). Given the significant interactions between breast-feeding duration and maternal fish intakes of >2–3 times/week (interaction term P < 0·10 for all but the motor skills subscale), results are presented stratified by breast-feeding duration. Among children breast-fed for <6 months, maternal fish intakes of >2–3 times/week remained associated with significantly higher mean scores after multivariate adjustment (coefficient P < 0·05 for all scales). However, the small group with maternal fish intakes >3 times/week had similar scores to those reporting intakes of ≤1 time/week. Maternal fish intakes were weakly associated with lower rather than higher scores among children breast-fed for ≥6 months.

Table 3 Multivariate-adjusted associations between neurodevelopment and maternal fish intakes frequency during pregnancy: full-term children (n 392) from a prospective birth cohort study, Menorca, Spain, 1997–2001

*Coefficient (the mean difference in standardized test score compared with children whose mothers reported intakes in the referent category) was significant (P < 0·05).

†Data (referent category = ≤1 time/week) are from models adjusted for child age and sex, grade/trimester at test administration, psychologist administering test, child seafood intake at age 4 years, maternal intake of other seafood in pregnancy, parity, maternal education, birth weight and weeks of gestation. Coefficients represent differences in scores standardized to a mean (sd) of 100 (15).

Other seafood intake variables and neurodevelopment

In contrast to fish, maternal intakes of other types of seafood during pregnancy were associated with lower general cognitive, perceptual-performance, verbal and numeric scores at age 4 years (Table 4). Associations were similar regardless of breast-feeding duration (interactions not significant for all subscales; data not shown). As was true for fish intakes, crude associations were similar to multivariate results (e.g. for general cognitive scores, coefficient (se) for intakes of >0·5 to 1 time/week and >1 time/week respectively were −1·2 (1·9) and −6·3 (1·8) before adjustment v. −1·0 (1·7) and −5·4 (1·6) in multivariate models). As a consequence of the contrasting directions of association for other seafood v. fish, maternal intakes of all types of seafood combined were not associated with developmental test scores (see Fig. 1 for general cognitive scores).

Table 4 Multivariate-adjusted associations between neurodevelopment and frequency of maternal intakes of other types of seafoodFootnote in pregnancy: full-term children (n 392) from a prospective birth cohort study, Menorca, Spain, 1997–2001

* Coefficient (the mean difference in standardized test score compared with children whose mothers reported intakes in the referent category) was significant (P < 0·05).

Other types of seafood include shellfish and squid.

Data (referent category = ≤0·5 time/week; n 115, 30·5 %) from models adjusted for child age and school course at test administration, child sex, psychologist administering developmental tests, child fish intake at age 4 years, maternal fish intake in pregnancy, parity, maternal education, child birth weight and weeks of gestation. Coefficients represent difference in scores standardized to a mean (sd) of 100 (15).

Fig. 1 Multivariate associations between maternal seafood intakes in pregnancy and child development at age 4 years. Data shown are coefficients (with their 95 % confidence intervals represented by vertical bars) from models adjusted for child age and school course at test administration, child sex, psychologist administering developmental tests, child fish intake at age 4 years, parity, maternal education, child birth weight and weeks of gestation. Results for fish only and other seafood only are from models including both variables. Coefficients represent difference in scores compared with subjects with lower intakes; scores have been standardized to a mean (sd) of 100 (15). *Coefficient was significant (P<0·05)

Child intakes of fish and other types of seafood at age 4 years were not strongly associated with test performance. Mean scores increased only slightly with increasing child fish intakes (P > 0·10 for all scales, ANOVA). For example, mean (sd) general cognitive scores were 98·0 (16·0), 99·3 (14·4), 100·7 (13·2) and 100·4 (15·1), respectively, over increasing intake categories of ≤1 time/week, >1–2 times/week, >2–3 times/week and >3 times/week. Similarly, for other types of seafood, mean (sd) scores were 101·0 (14·0), 99·0 (14·6) and 98·2 (15·2) for intakes of ≤0·5 time/week, >0·5–1 time/week and >1 time/week. Results for other subscales were similar (not shown).

Discussion

In this Mediterranean island population, children whose mothers reported fish intakes of >2–3 times/week in pregnancy had significantly higher scores on tests of cognitive and motor development at age 4 years compared with those children whose mothers reported intakes of ≤1 time/week. Although data were too sparse to make strong conclusions, higher intakes, exceeding >3 times/week, did not appear to be associated with increased scores. Positive associations between moderately high maternal fish intakes and children’s test scores were observed only among children breast-fed for <6 months. Among children breast-fed for longer periods, who had higher mean scores(Reference Julvez, Ribas-Fito, Forns, Garcia-Esteban, Torrent and Sunyer39), there was no improvement in scores associated with maternal fish consumption. In contrast to fish intakes, higher maternal intakes of other types of seafood were associated with lower scores on several developmental tests. Consequently, overall seafood intakes in pregnancy were not associated with better performance in these neurodevelopmental tests.

Previous studies conducted in two populations from the USA and UK reported positive associations between maternal fish(Reference Daniels, Longnecker, Rowland and Golding15) or overall seafood(Reference Hibbeln, Davis, Steer, Emmett, Rogers, Williams and Golding13, Reference Oken, Wright, Kleinman, Bellinger, Amarasiriwardena, Hu and Gillman14, Reference Oken, Radesky, Wright, Bellinger, Amarasiriwardena, Kleinman, Hu and Gillman16) intakes in pregnancy and neurodevelopment in infancy or childhood, despite higher levels of Hg among women with higher levels of seafood intake. Although previous studies included non-consumers rather than low fish intakes as the referent, results were in many ways consistent with the present report. As in our analysis, these papers reported significant positive associations between higher maternal fish or seafood intakes and scores on intelligence, verbal, motor and memory tests after multivariate adjustment. Here, we also report positive associations with tests of quantitative ability. Like the current analysis, one earlier study reported that children’s own fish consumption later in life was not strongly or consistently associated with test performance(Reference Daniels, Longnecker, Rowland and Golding15). Similarly, a recent small (n 341) study reported evidence suggesting an interaction between breast-feeding duration and maternal seafood intake for cognitive outcomes (P = 0·08 for verbal test)(Reference Oken, Radesky, Wright, Bellinger, Amarasiriwardena, Kleinman, Hu and Gillman16), although other studies did not report exploring this interaction. Unlike the present analysis, earlier studies did not report examining seafood subtypes separately to explore possible heterogeneous associations, in some cases(Reference Oken, Wright, Kleinman, Bellinger, Amarasiriwardena, Hu and Gillman14, Reference Oken, Radesky, Wright, Bellinger, Amarasiriwardena, Kleinman, Hu and Gillman16) due to the small sample with moderately high (>2 servings/week) seafood intakes. Additionally, earlier studies reported fairly linear associations, rather than the possible absence of beneficial effects at very high levels of fish intake(Reference Hibbeln, Davis, Steer, Emmett, Rogers, Williams and Golding13).

The interactions observed with breast-feeding duration are consistent with the main mechanism postulated to link maternal fish consumption and offspring neurodevelopment, which involve the n-3 fatty acid DHA for which breast milk is an important source(Reference McCann and Ames1). Any adverse effects of lower maternal DHA supplies during pregnancy, associated with lower fish consumption, may be partially offset by breast milk supplies of DHA and other essential nutrients during the postnatal phase of the brain growth spurt. Mechanisms involving DHA may also explain our finding of beneficial effects specific to fish consumption, rather than for other types of seafood(Reference Hibbeln, Davis, Steer, Emmett, Rogers, Williams and Golding13, Reference Oken, Wright, Kleinman, Bellinger, Amarasiriwardena, Hu and Gillman14). On average, levels of DHA in fatty fish are several times greater than those in shellfish, although there is also substantial variability in levels across different fish and shellfish species(Reference Kris-Etherton, Taylor, Yu-Poth, Huth, Moriarty, Fishell, Hargrove, Zhao and Etherton10Reference Mahaffey12). Varying levels of contaminants other than those measured in the present study (DDT, DDE and several PCB) may also have contributed to the heterogeneous associations for fish v. other seafood. As elevated levels of chemicals potentially relevant for neurodevelopment have been observed in both types of seafood, however, it is difficult to speculate on how such contaminants may have influenced the pattern of associations observed. For example, cord blood Hg was strongly related to consumption of fish but not other seafood in one recent Spanish study(Reference Ramon, Murcia and Ballester40) and another Spanish study reported similar or higher levels of both Hg and dioxin-like PCB in commonly consumed fish than in shellfish (μg Hg/g: 0·48 in tuna and 0·19 in hake v. 0·12 in shrimp and 0·06 in squid; ng PCB/kg: 1·17 in tuna and 0·34 in hake v. 0·03 in shrimp and 0·61 in squid)(Reference Domingo, Bocio, Falco and Llobet11).

Although the functions of DHA in the brain are not fully understood, numerous studies suggest this nutrient may be crucial during early brain development(Reference Helland, Smith, Saarem, Saugstad and Drevon4, Reference Colombo, Kannass, Shaddy, Kundurthi, Maikranz, Anderson, Blaga and Carlson7, Reference Helland, Smith, Blomen, Saarem, Saugstad and Drevon9, Reference Hart, Boylan, Carroll, Musick, Kuratko, Border and Lampe41Reference Coti, O’Kusky and Innis44). While mechanisms involving DHA provide a plausible explanation for differential effects of maternal fish intakes depending on breast-feeding duration, it is important to note that recent studies have cast doubt on the role of breast milk in cognitive development. After adjusting for maternal intelligence quotient (IQ) scores, associations between breast-feeding (any v. none) and child cognition were eliminated in one study(Reference Der, Batty and Deary34), while positive associations with breast-feeding were observed only among mothers with post-secondary education in another analysis(Reference Gibson-Davis and Brooks-Gunn45). Further research is needed to determine whether prolonged breast-feeding remains associated with neurodevelopment independently of maternal intelligence. Unfortunately, as data on maternal IQ are not available, we were unable to examine effects of this adjustment. However, in contrast to studies on breast-feeding and child development, we found that adjusting for maternal education, which is strongly linked to maternal IQ, had a negligible effect on associations with maternal fish intakes.

Reasons for the negative associations observed with maternal intakes of other types of seafood besides fish are also uncertain. One possible explanation involves effects of MeHg, which biomarker data from contemporaneous Spanish studies suggest increases linearly with seafood consumption(Reference Sanzo, Dorronsoro, Amiano, Amurrio, Aguinagalde and Azpiri46). MeHg contamination could also explain the apparent threshold in beneficial effects at the highest levels of fish intake, although given the modest sample size, we are unable to adequately assess whether these associations are meaningful. Published data suggest that MeHg levels in fish from Spain are somewhat higher than those in the USA or UK, where previous studies were conducted (e.g. 0·32–0·48 v. 0·35–0·40 μg/g in tuna from Spain v. the USA and UK)(Reference Domingo, Bocio, Falco and Llobet11, Reference Mozaffarian and Rimm24, 27, Reference Sanzo, Dorronsoro, Amiano, Amurrio, Aguinagalde and Azpiri46, Reference Knowles, Farrington and Kestin47). Hair Hg levels in a random sub-sample of children from this cohort were somewhat higher than in US children(Reference Montuori, Jover, Diez, Ribas-Fito, Sunyer, Triassi and Bayona48). However, adverse developmental effects of MeHg associated with seafood consumption have not been observed consistently(Reference Myers, Davidson and Cox22, Reference Grandjean, Weihe, White, Debes, Araki, Yokoyama, Murata, Sorenson, Dahl and Jorgensen25). Some evidence suggests PCB, which have been measured at fairly high concentrations in samples of seafood from Spain, may potentiate adverse developmental effects of MeHg(Reference Domingo, Bocio, Falco and Llobet11, Reference Stewart, Reihman, Lonky, Darvill and Pagano49Reference Roegge and Schantz52). It has also been suggested that adverse neurodevelopmental effects of PCB may be lower in breast-fed children(Reference Boersma and Lanting38). However, adjusting for available data on PCB in cord blood (sum of congeners 25, 52 101, 118, 138, 153 and 180(Reference Alvarez-Pedrerol, Ribas-Fito, Torrent, Carrizo, Grimalt and Sunyer36)) had no meaningful effect on relationships between maternal fish intakes and developmental scores (not shown). Alternatively, it is also possible that adverse effects of MeHg exposure may be exacerbated in the presence of low levels of Se, which have been reported in some Spanish populations(Reference Mozaffarian and Rimm24, Reference Diaz, Lopez, Henriquez, Rodriguez and Serra53). Se is thought to reduce tissue accumulation of Hg(Reference Seppanen, Kantola, Laatikainen, Nyyssonen, Valkonen, Kaarlopp and Salonen54) and is involved in activating selenoproteins believed to reduce Hg toxicity(Reference Chen, Yu, Zhao, Li, Qu, Liu, Zhang and Chai55).

The present study has several important strengths, including the longitudinal design and relatively long follow-up; only one earlier study on this topic focused on children rather than infants or toddlers(Reference Hibbeln, Davis, Steer, Emmett, Rogers, Williams and Golding13). Data from animal studies suggest that adverse effects of early MeHg exposure may appear only later in life(Reference Davidson, Myers and Weiss23). Additionally, in this cohort, developmental tests were administered by trained psychologists; some earlier studies relied at least in part on parental assessments(Reference Hibbeln, Davis, Steer, Emmett, Rogers, Williams and Golding13, Reference Daniels, Longnecker, Rowland and Golding15). Furthermore, in contrast to some earlier studies on this topic(Reference Hibbeln56), maternal fish intakes in this population were not related to socio-economic factors such as higher maternal education, reducing the likelihood that the associations observed may be due largely to residual confounding.

In summary, results of our study suggest that moderately high maternal fish intakes in pregnancy are associated with enhanced intellectual development in offspring, although it is uncertain whether intakes exceeding current recommendations are beneficial. These beneficial effects appear to be limited to children breast-fed for shorter periods than current recommendations. Moreover, maternal intakes of other types of seafood in pregnancy were associated with lower scores for several neurodevelopmental outcomes. Future studies in larger samples are needed to further explore relationships between neurodevelopment and maternal fish and other seafood consumption, in settings with varying patterns of intake and with differing levels of exposure to factors such as MeHg, other neurotoxins and Se. Biomarkers of exposure to these compounds, which were not available in the present study, may help to elucidate the pathways involved.

Acknowledgements

None of the authors has potential conflicts of interest related to this manuscript, financial or otherwise. M.A.M. conceived the hypotheses and analysis plan, undertook the analysis and wrote the manuscript. J.J. and N.R.-F. developed, implemented and validated the measures of neurodevelopment used in this study, and reviewed and provided key input to the manuscript, including appropriate interpretation and analyses of these data. M.T. and J.S. developed and supervised the remaining field work including development of dietary measures, and reviewed and provided input on the analyses and manuscript. M.K. worked with the first author to review and edit the manuscript, including interpretation of results, presentation and suggestions regarding additional analyses. This study was funded by grants from the Spanish Ministry of Health (FIS-97/0588, FIS-00/0021-02), Instituto de Salud Carlos III (Red INMA G03/176), ‘Fundació La Caixa’ (00/077-00) and the European Commission (Concerted Action, contract number QLK4-2000-00263). The first author received funding support from the EU sixth framework project EARNEST FOOD-CT-2005-007036. The authors are grateful to Raquel Garcia Esteban for data management and statistical support and to Maria Victoria Iturriaga for coordinating/conducting the field work.

References

1.McCann, JC & Ames, BN (2005) Is docosahexaenoic acid, an n-3 long-chain polyunsaturated fatty acid, required for development of normal brain function? An overview of evidence from cognitive and behavioral tests in humans and animals. Am J Clin Nutr 82, 281295.CrossRefGoogle ScholarPubMed
2.Heird, WC & Lapillonne, A (2005) The role of essential fatty acids in development. Annu Rev Nutr 25, 549571.CrossRefGoogle ScholarPubMed
3.Tamura, T, Goldenberg, RL, Hou, J, Johnston, KE, Cliver, SP, Ramey, SL & Nelson, KG (2002) Cord serum ferritin concentrations and mental and psychomotor development of children at five years of age. J Pediatr 140, 165170.CrossRefGoogle ScholarPubMed
4.Helland, IB, Smith, L, Saarem, K, Saugstad, OD & Drevon, CA (2003) Maternal supplementation with very-long-chain n-3 fatty acids during pregnancy and lactation augments children’s IQ at 4 years of age. Pediatrics 111, e39e44.CrossRefGoogle ScholarPubMed
5.Meck, WH & Williams, CL (2003) Metabolic imprinting of choline by its availability during gestation: implications for memory and attentional processing across the lifespan. Neurosci Biobehav Rev 27, 385–399.CrossRefGoogle Scholar
6.Craciunescu, CN, Brown, EC, Mar, MH, Albright, CD, Nadeau, MR & Zeisel, SH (2004) Folic acid deficiency during late gestation decreases progenitor cell proliferation and increases apoptosis in fetal mouse brain. J Nutr 134, 162166.CrossRefGoogle ScholarPubMed
7.Colombo, J, Kannass, KN, Shaddy, DJ, Kundurthi, S, Maikranz, JM, Anderson, CJ, Blaga, OM & Carlson, SE (2004) Maternal DHA and the development of attention in infancy and toddlerhood. Child Dev 75, 12541267.CrossRefGoogle ScholarPubMed
8.Williams, C, Birch, EE, Emmett, PM & Northstone, K (2001) Stereoacuity at age 3.5 y in children born full-term is associated with prenatal and postnatal dietary factors: a report from a population-based cohort study. Am J Clin Nutr 73, 316322.CrossRefGoogle ScholarPubMed
9.Helland, IB, Smith, L, Blomen, B, Saarem, K, Saugstad, OD & Drevon, CA (2008) Effect of supplementing pregnant and lactating mothers with n-3 very-long-chain fatty acids on children’s IQ and body mass index at 7 years of age. Pediatrics 122, e472e479.CrossRefGoogle ScholarPubMed
10.Kris-Etherton, PM, Taylor, DS, Yu-Poth, S, Huth, P, Moriarty, K, Fishell, V, Hargrove, RL, Zhao, G & Etherton, TD (2000) Polyunsaturated fatty acids in the food chain in the United States. Am J Clin Nutr 71, 179S188S.CrossRefGoogle ScholarPubMed
11.Domingo, JL, Bocio, A, Falco, G & Llobet, JM (2007) Benefits and risks of fish consumption Part I. A quantitative analysis of the intake of omega-3 fatty acids and chemical contaminants. Toxicology 230, 219226.CrossRefGoogle Scholar
12.Mahaffey, KR (2004) Fish and shellfish as dietary sources of methylmercury and the omega-3 fatty acids, eicosahexaenoic acid and docosahexaenoic acid: risks and benefits. Environ Res 95, 414428.CrossRefGoogle ScholarPubMed
13.Hibbeln, JR, Davis, JM, Steer, C, Emmett, P, Rogers, I, Williams, C & Golding, J (2007) Maternal seafood consumption in pregnancy and neurodevelopmental outcomes in childhood (ALSPAC study): an observational cohort study. Lancet 369, 578585.CrossRefGoogle ScholarPubMed
14.Oken, E, Wright, RO, Kleinman, KP, Bellinger, D, Amarasiriwardena, CJ, Hu, H & Gillman, MW (2005) Maternal fish consumption, hair mercury, and infant cognition in a US cohort. Environ Health Perspect 113, 13761380.CrossRefGoogle Scholar
15.Daniels, JL, Longnecker, MP, Rowland, AS & Golding, J (2004) Fish intake during pregnancy and early cognitive development of offspring. Epidemiology 15, 394402.CrossRefGoogle ScholarPubMed
16.Oken, E, Radesky, JS, Wright, RO, Bellinger, DC, Amarasiriwardena, CJ, Kleinman, KP, Hu, H & Gillman, MW (2008) Maternal fish intake during pregnancy, blood mercury levels, and child cognition at age 3 years in a US cohort. Am J Epidemiol 167, 11711181.CrossRefGoogle Scholar
17.Matorras, R, Perteagudo, L, Sanjurjo, P & Ruiz, JI (1999) Intake of long chain ω3 polyunsaturated fatty acids during pregnancy and the influence of levels in the mother on newborn levels. Eur J Obstet Gynecol Reprod Biol 83, 179184.CrossRefGoogle Scholar
18.Dutta-Roy, AK (2000) Transport mechanisms for long-chain polyunsaturated fatty acids in the human placenta. Am J Clin Nutr 71, 315S322S.CrossRefGoogle ScholarPubMed
19.Jensen, CL, Maude, M, Anderson, RE & Heird, WC (2000) Effect of docosahexaenoic acid supplementation of lactating women on the fatty acid composition of breast milk lipids and maternal and infant plasma phospholipids. Am J Clin Nutr 71, 292S299S.CrossRefGoogle ScholarPubMed
20.Innis, SM & Elias, SL (2003) Intakes of essential n-6 and n-3 polyunsaturated fatty acids among pregnant Canadian women. Am J Clin Nutr 77, 473478.CrossRefGoogle ScholarPubMed
21.Innis, SM (2004) Polyunsaturated fatty acids in human milk: an essential role in infant development. Adv Exp Med Biol 554, 2743.CrossRefGoogle ScholarPubMed
22.Myers, GJ, Davidson, PW, Cox, C et al. (2003) Prenatal methylmercury exposure from ocean fish consumption in the Seychelles child development study. Lancet 361, 16861692.CrossRefGoogle ScholarPubMed
23.Davidson, PW, Myers, GJ & Weiss, B (2004) Mercury exposure and child development outcomes. Pediatrics 113, 10231029.CrossRefGoogle ScholarPubMed
24.Mozaffarian, D & Rimm, EB (2006) Fish intake, contaminants, and human health: evaluating the risks and the benefits. JAMA 296, 18851899.CrossRefGoogle ScholarPubMed
25.Grandjean, P, Weihe, P, White, RF, Debes, F, Araki, S, Yokoyama, K, Murata, K, Sorenson, N, Dahl, R & Jorgensen, PJ (1997) Cognitive deficit in 7-year-old children with prenatal exposure to methylmercury. Neurotoxicol Teratol 19, 417428.CrossRefGoogle ScholarPubMed
26.US Departments of Health and Human Services & Environmental Protection Agency (2007) What you need to know about mercury in fish and shellfish 2004: EPA and FDA advice for women who might become pregnant, women who are pregnant, nursing mothers and young children. http://www.epa.gov/waterscience/fishadvice/advice.html (accessed July 2007).Google Scholar
27.UK Committee on Toxicology (2007) Mercury in imported fish and shellfish, UK farmed fish and their products. http://www.foodstandards.gov.uk/multimedia/pdfs/COTmercurystatement.PDF (accessed July 2007).Google Scholar
28.Welch, AA, Lund, E, Amiano, P et al. (2002) Variability of fish consumption within the 10 European countries participating in the European Investigation into Cancer and Nutrition (EPIC) study. Public Health Nutr 5, 12731285.CrossRefGoogle ScholarPubMed
29.Romieu, I, Torrent, M, Garcia-Esteban, R, Ferrer, C, Ribas-Fito, N, Anto, JM & Sunyer, J (2007) Maternal fish intake during pregnancy and atopy and asthma in infancy. Clin Exp Allergy 37, 518525.CrossRefGoogle ScholarPubMed
30.Sunyer, J, Torrent, M, Garcia-Esteban, R, Ribas-Fito, N, Carrizo, D, Romieu, I, Anto, JM & Grimalt, JO (2006) Early exposure to dichlorodiphenyldichloroethylene, breastfeeding and asthma at age six. Clin Exp Allergy 36, 12361241.CrossRefGoogle ScholarPubMed
31.Julvez, J, Ribas-Fito, N, Torrent, M, Forns, M, Garcia-Esteban, R & Sunyer, J (2007) Maternal smoking habits and cognitive development of children at age 4 years in a population-based birth cohort. Int J Epidemiol 6, 825832.CrossRefGoogle Scholar
32.Chatzi, L, Torrent, M, Romieu, I, Garcia-Esteban, R, Ferrer, C, Vioque, J, Kogevinas, M & Sunyer, J (2008) Mediterranean diet in pregnancy protective for wheeze and atopy in childhood. Thorax 63, 507513.CrossRefGoogle ScholarPubMed
33.Lucas, A, Morley, R, Cole, TJ, Gore, SM, Davis, JA, Bamford, MF & Dossetor, JF (1989) Early diet in preterm babies and developmental status in infancy. Arch Dis Child 64, 15701578.CrossRefGoogle ScholarPubMed
34.Der, G, Batty, GD & Deary, IJ (2006) Effect of breast feeding on intelligence in children: prospective study, sibling pairs analysis, and meta-analysis. BMJ 333, 945.CrossRefGoogle ScholarPubMed
35.National Center for Health Statistics (2007) CDC Growth Charts, United States. http://www.cdc.gov/growthcharts/(accessed July 2007).Google Scholar
36.Alvarez-Pedrerol, M, Ribas-Fito, N, Torrent, M, Carrizo, D, Grimalt, JO & Sunyer, J (2008) Effects of PCBs, p,p′-DDT, p,p′-DDE, HCB and β-HCH on thyroid function in preschoolers. Occup Environ Med 65, 452457.CrossRefGoogle Scholar
37.Ribas-Fito, N, Torrent, M, Carrizo, D, Munoz-Ortiz, L, Julvez, J, Grimalt, JO & Sunyer, J (2006) In utero exposure to background concentrations of DDT and cognitive functioning among preschoolers. Am J Epidemiol 164, 955962.CrossRefGoogle ScholarPubMed
38.Boersma, ER & Lanting, CI (2000) Environmental exposure to polychlorinated biphenyls (PCBs) and dioxins. Consequences for longterm neurological and cognitive development of the child lactation. Adv Exp Med Biol 478, 271287.CrossRefGoogle ScholarPubMed
39.Julvez, J, Ribas-Fito, N, Forns, M, Garcia-Esteban, R, Torrent, M & Sunyer, J (2007) Attention behaviour and hyperactivity at age 4 and duration of breast-feeding. Acta Paediatr 96, 842847.CrossRefGoogle ScholarPubMed
40.Ramon, R, Murcia, M, Ballester, F et al. (2008) Prenatal exposure to mercury in a prospective mother-infant cohort study in a Mediterranean area, Valencia, Spain. Sci Total Environ 392, 6978.CrossRefGoogle Scholar
41.Hart, SL, Boylan, LM, Carroll, SR, Musick, YA, Kuratko, C, Border, BG & Lampe, RM (2006) Brief report: newborn behavior differs with decosahexaenoic acid levels in breast milk. J Pediatr Psychol 31, 221226.CrossRefGoogle ScholarPubMed
42.Birch, EE, Garfield, S, Hoffman, DR, Uauy, R & Birch, DG (2000) A randomized controlled trial of early dietary supply of long-chain polyunsaturated fatty acids and mental development in term infants. Dev Med Child Neurol 42, 174181.Google ScholarPubMed
43.Cohen, JT, Bellinger, DC, Connor, WE & Shaywitz, BA (2005) A quantitative analysis of prenatal intake of n-3 polyunsaturated fatty acids and cognitive development. Am J Prev Med 29, 366374.CrossRefGoogle ScholarPubMed
44.Coti, BP, O’Kusky, JR & Innis, SM (2006) Maternal dietary (n-3) fatty acid deficiency alters neurogenesis in the embryonic rat brain. J Nutr 136, 15701575.CrossRefGoogle Scholar
45.Gibson-Davis, CM & Brooks-Gunn, J (2006) Breastfeeding and verbal ability of 3-year-olds in a multicity sample. Pediatrics 118, e1444e1451.CrossRefGoogle Scholar
46.Sanzo, JM, Dorronsoro, M, Amiano, P, Amurrio, A, Aguinagalde, FX & Azpiri, MA (2001) Estimation and validation of mercury intake associated with fish consumption in an EPIC cohort of Spain. Public Health Nutr 4, 981988.CrossRefGoogle Scholar
47.Knowles, TG, Farrington, D & Kestin, SC (2003) Mercury in UK imported fish and shellfish and UK-farmed fish and their products. Food Addit Contam 20, 813818.CrossRefGoogle ScholarPubMed
48.Montuori, P, Jover, E, Diez, S, Ribas-Fito, N, Sunyer, J, Triassi, M & Bayona, JM (2006) Mercury speciation in the hair of pre-school children living near a chlor-alkali plant. Sci Total Environ 369, 5158.CrossRefGoogle Scholar
49.Stewart, PW, Reihman, J, Lonky, EI, Darvill, TJ & Pagano, J (2003) Cognitive development in preschool children prenatally exposed to PCBs and MeHg. Neurotoxicol Teratol 25, 1122.CrossRefGoogle ScholarPubMed
50.Grandjean, P, Weihe, P, Burse, VW et al. (2001) Neurobehavioral deficits associated with PCB in 7-year-old children prenatally exposed to seafood neurotoxicants. Neurotoxicol Teratol 23, 305317.CrossRefGoogle ScholarPubMed
51.Bemis, JC & Seegal, RF (1999) Polychlorinated biphenyls and methylmercury act synergistically to reduce rat brain dopamine content in vitro. Environ Health Perspect 107, 879885.CrossRefGoogle ScholarPubMed
52.Roegge, CS & Schantz, SL (2006) Motor function following developmental exposure to PCBS and/or MEHG. Neurotoxicol Teratol 28, 260277.CrossRefGoogle ScholarPubMed
53.Diaz, RC, Lopez, BF, Henriquez, SP, Rodriguez, E & Serra, ML (2001) Serum selenium concentration in a representative sample of the Canarian population. Sci Total Environ 269, 6573.Google Scholar
54.Seppanen, K, Kantola, M, Laatikainen, R, Nyyssonen, K, Valkonen, VP, Kaarlopp, V & Salonen, JT (2000) Effect of supplementation with organic selenium on mercury status as measured by mercury in pubic hair. J Trace Elem Med Biol 14, 8487.CrossRefGoogle ScholarPubMed
55.Chen, C, Yu, H, Zhao, J, Li, B, Qu, L, Liu, S, Zhang, P & Chai, Z (2006) The roles of serum selenium and selenoproteins on mercury toxicity in environmental and occupational exposure. Environ Health Perspect 114, 297301.CrossRefGoogle ScholarPubMed
56.Hibbeln, JR (2002) Seafood consumption, the DHA content of mothers’ milk and prevalence rates of postpartum depression: a cross-national, ecological analysis. J Affect Disord 69, 1529.CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Characteristics of the sample by maternal fish intake in pregnancy: full-term children (n 392) from a prospective birth cohort study, Menorca, Spain, 1997–2001

Figure 1

Table 2 Mean test scores† at age 4 years by maternal fish intake frequency during pregnancy: full-term children (n 392) from a prospective birth cohort study, Menorca, Spain, 1997–2001

Figure 2

Table 3 Multivariate-adjusted associations between neurodevelopment and maternal fish intakes frequency during pregnancy: full-term children (n 392) from a prospective birth cohort study, Menorca, Spain, 1997–2001

Figure 3

Table 4 Multivariate-adjusted associations between neurodevelopment and frequency of maternal intakes of other types of seafood† in pregnancy: full-term children (n 392) from a prospective birth cohort study, Menorca, Spain, 1997–2001

Figure 4

Fig. 1 Multivariate associations between maternal seafood intakes in pregnancy and child development at age 4 years. Data shown are coefficients (with their 95 % confidence intervals represented by vertical bars) from models adjusted for child age and school course at test administration, child sex, psychologist administering developmental tests, child fish intake at age 4 years, parity, maternal education, child birth weight and weeks of gestation. Results for fish only and other seafood only are from models including both variables. Coefficients represent difference in scores compared with subjects with lower intakes; scores have been standardized to a mean (sd) of 100 (15). *Coefficient was significant (P<0·05)