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Do infants of breast-feeding mothers benefit from additional long-chain PUFA from fish oil? A 6-year follow-up

Published online by Cambridge University Press:  21 April 2020

Suzanne J. Meldrum*
Affiliation:
School of Paediatrics and Child Health, Faculty of Health and Medical Science, The University of Western Australia, Crawley, WA 6009, Australia School of Medical and Health Sciences, Edith Cowan University, Joondalup, Perth, WA 6027, Australia Centre for Neonatal Research and Education, Faculty of Health and Medical Science, The University of Western Australia, Crawley, WA 6009, Australia
Alexandra E. Heaton
Affiliation:
School of Paediatrics and Child Health, Faculty of Health and Medical Science, The University of Western Australia, Crawley, WA 6009, Australia Centre for Neonatal Research and Education, Faculty of Health and Medical Science, The University of Western Australia, Crawley, WA 6009, Australia
Jonathan K. Foster
Affiliation:
School of Paediatrics and Child Health, Faculty of Health and Medical Science, The University of Western Australia, Crawley, WA 6009, Australia Neurosciences Unit, North Metropolitan Health Services, Health Department of Western Australia, Mooro Drive, Mount Claremont, WA 6010, Australia
Susan L. Prescott
Affiliation:
School of Paediatrics and Child Health, Faculty of Health and Medical Science, The University of Western Australia, Crawley, WA 6009, Australia Telethon Kids Institute, Perth Children’s Hospital, 15 Hospital Avenue, Nedlands, WA 6009, Australia
Karen Simmer
Affiliation:
School of Paediatrics and Child Health, Faculty of Health and Medical Science, The University of Western Australia, Crawley, WA 6009, Australia Centre for Neonatal Research and Education, Faculty of Health and Medical Science, The University of Western Australia, Crawley, WA 6009, Australia Telethon Kids Institute, Perth Children’s Hospital, 15 Hospital Avenue, Nedlands, WA 6009, Australia
*
*Corresponding author: Dr Suzanne J. Meldrum, email [email protected]
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Abstract

Fish-oil supplements are marketed as enhancing intelligence and cognitive performance. However, empirical data concerning the utility of these products in healthy term infants are mixed, particularly with respect to lasting effects into childhood. We evaluated whether fish-oil supplementation during infancy leads to better neurocognitive/behavioural development at 6 years. We conducted a double-blind randomised controlled trial of supplementation with n-3 long-chain PUFA in 420 healthy term infants. Infants received either fish oil (containing at least 250 mg DHA and at least 60 mg EPA) or placebo (olive oil) daily from birth to 6 months of age. Neurodevelopmental follow-up was conducted at a mean age of 6 years (sd 7 months), whereby 335 children were assessed for language, executive functioning, global intelligence quotient and behaviour. No significant differences were observed between the groups for the main neurocognitive outcomes. However in parent-report questionnaire, fish-oil supplementation was associated with negative externalising (P = 0·035, d = 0·24) and oppositional/defiant behaviour (P = 0·006, d = 0·31), particularly in boys (P = 0·01, d = 0·45; P = 0·004, d = 0·40). Our results provide evidence that fish-oil supplementation to predominantly breast-fed infants confers no significant cognitive or behavioural benefit to children at 6 years.

Type
Full Papers
Copyright
© The Authors 2020

n-3 Long-chain PUFA (n-3 LCPUFA), particularly DHA, are essential for the growth and maturation of the developing human brain(Reference Brenna and Carlson1). DHA is rapidly incorporated into the frontal cortex during the ‘brain growth spurt’ which occurs from the last trimester to about 18 months(Reference Martinez2). Brain regions with the highest affinity for DHA are the frontal cortex(Reference Galkina, Putilina and Eshchenko3) and the hippocampus(Reference Calderon and Kim4). These regions subserve higher-order executive functions including memory and attention(Reference Wood and Grafman5) and interconnect with the limbic system to affect behaviour(Reference Durston and Casey6).

Due to the pervasive lack of n-3 LCPUFA in the typical Western diet(Reference Meyer7), there is concern that infants are not receiving sufficient quantities of DHA and therefore may benefit from DHA supplementation. Based on the physicochemical effects of DHA on hippocampal- and frontal-based cognition, it is plausible that modulation of DHA availability will affect tasks that call upon executive functioning and behaviour(Reference Weiser, Butt and Mohajeri8).

Several observational studies have shown a positive correlation between maternal fish intake during pregnancy and child neurocognitive development(Reference Hibbeln, Davis and Steer9Reference Julvez, Méndez and Fernandez-Barres12). Yet, systematic, meta-analytical and narrative reviews of intervention trials of n-3 LCPUFA supplementation during pregnancy and lactation(Reference Gould, Smithers and Makrides13Reference Meldrum and Simmer16) and infant formula(Reference Ryan, Astwood and Gautier17Reference Shulkin, Pimpin and Bellinger20) have revealed mixed findings. This lack of consistency has been attributed to study design variations including sample size, dosage, duration of supplementation and method of assessment. Only a small number of studies have examined the long-term effects into childhood, when neurocognitive and behavioural measurements have more predictive validity when compared with infancy.

The work presented here is part of the Infant Fish Oil Study (IFOS), which was a randomised controlled trial (RCT) of infant fish-oil supplementation from birth to 6 months of age. The trial commenced in 2005 with the goal of investigating the immunological and neurocognitive effects of fish oil during infancy(Reference Meldrum, D’Vaz and Dunstan21). We previously reported that predominantly breast-fed infants who were directly supplemented with fish oil showed improved communication at 12 and 18 months compared with placebo(Reference Meldrum, D’Vaz and Simmer22). This study was novel in its use of direct supplementation (irrespective of mode of feeding) and the dose and length of the n-3 LCPUFA supplement.

The present study is a 6-year follow-up of the IFOS cohort employing a battery of sensitive neurocognitive tests to measure both global and specific aspects of cognitive and behavioural development. We predict that supplementation will have a positive neurocognitive effect, particularly on language and communication at 6 years of age – based on our earlier findings. To our knowledge, this is the first research to examine such long-term effects of fish-oil supplementation in healthy, term, primarily breast-fed infants.

Methods

The study design and methodology of the IFOS have been described previously(Reference Meldrum, D’Vaz and Dunstan21). To summarise, women in their third trimester of pregnancy were recruited from public and private antenatal services in Perth, Western Australia between June 2005 and October 2008. To be included in the study, women needed to have a history of allergy (otherwise healthy), be non-smokers, not take fish oil during pregnancy (≥1000 mg/d) and typically consume less than three fishmeals per week. Pregnant women with a history of allergy were recruited as their infants are at a higher risk of developing allergic disease (intervention had no clinical effects on allergic outcomes(Reference D’Vaz, Meldrum and Dunstan23)).

This RCT was registered at Australian New Zealand Clinical Trials Registry www.anzctr.org.au (ACTRN12606000281594). All stages of the present study were approved by the University of Western Australia and the Princess Margaret Hospital Ethics Committee. Informed, written consent was obtained from the children’s parents.

Study design and intervention

Four hundred and twenty healthy, term-born, singleton infants were randomised to receive daily supplementation with either DHA-enriched fish oil (n 218), or image-matched placebo (n 202), from birth to 6 months. The fish-oil capsules contained 250–280 mg of DHA and 60–110 mg of EPA, and the placebo capsules contained 67 % n-9 oleic acid. The capsules were designed to be punctured so that the oil could be directly administered into the infants’ mouth or incorporated into milk in bottles. Participants were asked to give the oil to the infants in the morning, prior to/during feeding. Fatty acid intake during the period of intervention was accounted for via semi-quantitative FFQ along with fatty acid measurement of breast milk samples.

Blinding

The study was designed as a double-blind RCT, where both participants and staff were unaware of group allocation. The randomisation schedule was prepared by an independent biostatistician and stratified according to maternal and paternal allergic history and parity. Participants were unblinded after the 30-month immunological follow-up by a researcher independent to the present work. Participants were asked not to discuss their group allocation with the researcher conducting the 6-year neurocognitive assessments. The researcher responsible for conducting the 6-year follow-up assessments and associated results remained blinded throughout the trial. Following all data collection, groups were masked as A or B until all end points were analysed.

Fatty acids

Plasma phospholipid and erythrocyte DHA concentrations in the fish-oil group were statistically significantly increased compared with placebo at 6 months (data reported previously(Reference Meldrum, D’Vaz and Simmer22)). This increase was considered modest considering the dose and has been attributed to the high DHA status of the infants at birth, the high proportion of breast-fed infants (98 %) along with high DHA status of the breast milk, reduced capsule adherence (59 %) and the bioavailability of the ethyl ester supplement.

The 6-year follow-up

The purpose of the 6-year follow-up was to evaluate neurocognitive outcomes through a battery of neurocognitive tests and (parent and teacher) questionnaires. The tests were delivered in the same order for each participant and took approximately 2 h to perform. The tests were performed by one post-graduate student under the direction of a clinical neuropsychologist. Blood n-3 LCPUFA concentrations or dietary intake were not measured at the 6-year follow-up.

Language and communication

A Core Language Composite score was derived from performance on the Clinical Evaluation of Language Fundamentals, 4th Edition (CELF-4)(Reference Semel, Wiig and Secord24). This is an age-standardised test for the assessment of child language and communication skills. Adjunct measures of language and communication included the Renfrew Bus Story test(Reference Renfrew25), which evaluated the child’s ability to retell a narrative to sentence length, complexity and vocabulary. Parents also completed the Children’s Communication Checklist(Reference Bishop26).

Behaviour

Parents and teachers completed questionnaires regarding the child’s behaviour at home and at school. Parents completed the Autism Spectrum Quotient: Children’s Version(Reference Auyeung, Baron-Cohen and Wheelwright27) and the Child Behaviour Checklist(Reference Achenbach and Rescola28), and teachers completed the Teachers Report Form and the Gifted Rating Scale(Reference Pfeiffer and Jarosewich29).

Working memory and executive function

An age-adjusted Working Memory Composite score was derived from the CELF-4. Two supplementary tests of executive function, Rapid Automatic Naming and Word Association, were also derived from the CELF-4. To further assess executive functioning and working memory, we created the Fruit Stroop Test based on the previously established protocol(Reference Archibald and Kerns30) (for further information on the Fruit Stroop Test design, see online Supplementary Information). Participants achieved a score based on how many colours they correctly identified and a total error score. To assess non-spatial, complex working memory, we created the Self-Ordered Pointing Test (SOPT) based on previously established protocol(Reference Cragg and Nation31) (for further information on the SOPT design, see online Supplementary Information). Participants achieved a score quantifying the number of errors made, that is, selection of any picture more than once.

Global intelligence

The Wechsler Abbreviated Scale of Intelligence – 2nd Edition (WASI) was used to evaluate general intelligence in those aged 6 to 90 years of age(Reference Weschler32). The test informs verbal intelligence quotient (IQ), performance IQ and full-scale IQ scores(Reference Axelrod33). School teachers completed the Gifted Rating Scale questionnaire, which provides information on intelligence, academic ability, creativity, artistic talents, leadership ability and motivation(Reference Pfeiffer and Jarosewich29).

Statistical analysis

Statistical analysis was performed using the IBM statistical software, Statistical Package for the Social Sciences version 21 for PC. Statistical significance was assessed at the two-tailed P < 0·05. Outcomes were assessed on the basis of ‘intention to treat’. Thus, all children were included in the analysis, irrespective of compliance with the intervention.

Power estimates for the present study (post hoc) were based upon a study in which scores on the Peabody Picture Vocabulary Test in 5-year-old children differed with regard to the duration of breast-feeding and the LCPUFA content of the breast milk(Reference Quinn, O’Callaghan and Williams34). It is appropriate to base the power estimate on this study, given that breast milk is the exclusive source of LCPUFA delivery in non-supplemented infants. The study observed an 8·2 point advantage for girls following adjustment for confounders, and a 5·8 point advantage for boys. Therefore, a sample size of approximately 135 participants per group was required to detect a 5·8 point minimum difference in the full-scale IQ scores between groups using an independent-groups t test, with 89 % power (α = 0·05)(Reference Lenth35).

Any difference in demographic or neurocognitive characteristics between the groups was determined by independent t tests where data were normally distributed (normality having been checked through histograms and confirmed using Q–Q plots). Where variables were not normally distributed, logarithm and square root transformations were performed. However, untransformed data are referred to in the descriptive statistics for ease of interpretation, as transformation did not alter the final results. Pearson’s χ 2 tests were used for nominal/categorical data. Where normality was not achieved and could not be improved by natural log transformation, non-parametric Mann–Whitney U tests were performed.

Many of the scores from the neurocognitive tests/questionnaires were age-standardised according to the test. Subsequently, age unadjusted analyses (independent t tests) were performed using the composite T scores derived from the CELF-4, Children’s Communication Checklist, Child Behaviour Checklist, Teachers Report Form, WASI and the Gifted Rating Scale to compare the fish-oil and placebo groups. For the remaining data that were not age-standardised (Renfrew Bus Story, SOPT, Fruit Stroop, Autism Spectrum Quotient: Children’s Version, Rapid Automatic Naming and Word Association test), multivariate linear regression analyses were used, controlling for age (in months) at the time of assessment. Regression models were also employed to analyse the raw scores of the WASI individual sub-tests (vocabulary, similarities, block design and matrix reasoning) while adjusting for age. This was necessary since the standardised WASI IQ scores were only accurate from age 6 years, yet not all participants had reached 6 years of age by the time of their assessment. Effect sizes were calculated using Cohen’s d, with scores 0·2 indicating a small effect, 0·5 indicating a medium effect and ≥0·8 indicating a large effect.

Results

At the 6-year follow-up, 335 children participated (80 % of initial enrolment): 156 from the placebo group and 179 from the fish-oil group. The trial design and number of individuals at each stage are shown in Fig. 1. A higher number of participants from the fish-oil group (n 25) did not attend the follow-up compared with placebo (n 1). Reasons were not provided, but considering this was outside the supplementation period, this is unlikely to be related to the intervention. Overall, the mean age of children at the time of the assessment was 72 (sd 7) months, and the range was between 61 and 97 months.

Fig. 1. Flow chart for study design, participant progress and data collection. GI, gastrointestinal.

Baseline characteristics of randomised groups

There were no differences between the fish-oil and placebo groups regarding their baseline population characteristics with the exception of the length of gestation, whereby the fish-oil group was born approximately 2·5 d earlier on average. However, the clinical significance of this is likely negligible so was not adjusted for in subsequent analyses (Table 1). There were no differences in the baseline characteristics of the participants who did not attend the 6-year follow-up compared with those presented here (data not shown).

Table 1. Baseline characteristics of the two groups seen at the 6-year follow-up

(Mean values and standard deviations)

* P < 0·05, difference reaching statistical significance.

Language and communication

As shown in Table 2, there was no difference between the fish-oil and placebo groups for any of the language scores including the Core Language Composite score. Nor were their significant differences between the groups for the sentence length, information or use of subordinate clauses according to the Renfrew Bus Story, either before or after adjusting for age. Results from the Children’s Communication Checklist identified no significant differences between the two groups in terms of parents’ perceptions of their child’s communicative skills.

Table 2. Language scores of the placebo group compared with the fish-oil group

(Mean values and standard deviations)

CELF-4, Clinical Evaluation of Language Fundamentals; CCC-2, Children’s Communication Checklist – 2nd ed.

* P values are based on independent-group t tests (CELF-4, CCC-2) or multivariate linear regression controlling for age (Renfrew).

Behavioural outcomes

The fish-oil group displayed significantly more externalising behaviours, with the mean externalising T score of the fish-oil group 2·3 points higher than placebo (Table 3). Further analysis of the sub-tests comprising externalising behaviour revealed that the mean T scores of oppositional defiance were 1·6 points higher in the fish-oil group (95 % CI 0·40, 2·75; P = 0·006, d = 0·24). Post hoc analyses revealed that these behavioural effects were stronger in boys (n 165). Boys in the fish-oil group attained mean externalising behaviour T scores four points higher than boys in the placebo group (95 % CI 1·24, 6·58; P = 0·004, d = 0·45). Similarly, oppositional defiance was two points higher for boys in the fish-oil group compared with boys in the placebo group (95 % CI 0·49, 3·52; P = 0·010, d = 0·40). However, this was not a pre-planned analysis and thus statistical power is reduced accordingly.

Table 3. Behaviour scores of the placebo group compared with the fish-oil group

(Mean values and standard deviations)

CBCL, Child Behaviour Checklist – Parent Report Form; AQ-Child, Autism Spectrum Questionnaire – Children’s Version.

* P values are based on independent group t tests (CBCL) or multivariate linear regression controlling for age (AQ-Child).

Indicates statistically significant difference between the placebo and fish-oil groups.

No other significant differences were observed for the Child Behaviour Checklist questionnaire including Internalising or Total Behavioural scores. The Teacher Report Form identified no significant differences between the two groups, as was the case for the Autism Spectrum Quotient: Children’s Version questionnaire.

Working memory and specialised executive functions

As seen in Table 4, there was no difference between the fish-oil and placebo groups for the composite score of working memory derived from the CELF-4. However, sub-test analysis found participants in the fish-oil group scored lower in number repetition (forwards) than the placebo group (95 % CI 0·03, 1·29; P = 0·040, d = 0·24). Whereas, in the familiar sequences sub-test, the fish-oil group scored higher compared with placebo (95 % CI −1·30, 0·062; P = 0·031, d = 0·24). There were no group differences for the secondary outcomes of the CELF-4, that is, the two supplementary tests, Word Associations and Rapid Automatic Naming after adjusting for age. Similarly, there were no differences between the fish-oil and placebo groups regarding the Fruit Stroop Test or the SOPT.

Table 4. Working memory scores of the placebo group compared with the fish-oil group

(Mean values and standard deviations)

* P values are based on multivariate linear regression controlling for age.

Statistically significant difference between the placebo and fish-oil groups.

Global intelligence

There were no significant group differences between the fish-oil and placebo groups for the global measures of IQ (verbal IQ, performance IQ or full-scale IQ) derived from the WASI (Table 5). Given that the WASI IQ scores were age-standardised from 6 years of age, we also analysed the group differences for each of the WASI sub-test raw scores while adjusting for age (in months). There were no significant differences between the groups for any of the WASI raw scores before or after adjusting for exact age. Furthermore, results from the Gifted Rating Scale identified no significant differences between the two groups for intelligence or any other measures including academic, creativity, artistic, leadership or motivation.

Table 5. Global intelligence scores of the placebo group compared with the fish-oil group

(Mean values and standard deviations)

IQ, intelligent quotient.

* P values are based on independent-group t tests.

Discussion

We predicted that fish-oil supplementation during infancy would have a positive neurocognitive effect, particularly on language and communication at 6 years of age – based on our earlier findings at 12 and 18 months(Reference Meldrum, D’Vaz and Simmer22). Further, we expected the long-term effects to be more pronounced at 6 years due to the increased validity of neurocognitive assessments and the emergence of additional language and cognitive capacities subsequent to ongoing brain maturation. However, we found no evidence that the fish-oil group was superior to the placebo group at 6 years in terms of their communication or language development, despite the use of several neurocognitive tests specifically chosen to investigate this. This long-term follow-up indicates that any benefit of fish-oil supplementation on communication during toddlerhood was transient and did not permanently alter neurocognitive ability. It may be that current dietary intake of DHA (not measured in the present study) is more relevant than past intake, even during a period of rapid neurodevelopment.

Externalising behavioural problems were found to be significantly higher in the fish-oil group (although still within the normal range). The adverse finding of infant fish-oil supplementation on behaviour is in line with our previous findings in this sample, which reported a trend for higher anxiety/depression in the fish-oil group, although not significant (P = 0·081)(Reference Meldrum, D’Vaz and Simmer22). It is not clear why fish-oil supplementation in early life would cause negative behavioural effects in childhood. However, a small number of other prenatal DHA supplementation trials have revealed similar findings. A large Australian RCT of prenatal DHA supplementation found significantly more behavioural problems in the DHA group v. placebo, when followed up at 4 years(Reference Makrides, Gould and Gawlik36) and again at age 7 years(Reference Gould, Treyvaud and Yelland37). Similarly, Meldrum et al. recently found a comparable trend for externalising behavioural traits in 12-year-old children whose mothers had undergone DHA supplementation during pregnancy(Reference Meldrum, Dunstan and Foster38). Furthermore, the RCT by Cheatham et al. reported lower pro-social scores in 7-year-old children whose mothers were supplemented with fish oil during breast-feeding, compared with controls(Reference Cheatham, Nerhammer and Asserhoj39). Of these previous studies, few have offered plausible explanations for this curious result, instead citing reasons such as chance (i.e. type I statistical errors), which is possible. Negative effects on behaviour are in contrast to both animal trials and trials of mental health and behaviour in adult populations(Reference Liao, Xie and Zhang40,Reference Wani, Bhat and Ara41) . This finding requires replication in future large studies before conclusions can be drawn.

There was no significant difference between the fish-oil and placebo groups in terms of the composite measures of working memory, although there were some effects within the sub-tests of working memory. Since the directions of these effects were inconsistent (i.e. the fish-oil group performed significantly better in the familiar sequences sub-test yet significantly worse recalling numbers), these may well be random effects. The null effect with respect to overall working memory performance was echoed in the additional tests of executive functioning and inhibitory control (the Fruit Stoop and SOPT) which we developed to overcome some of the limitations of global tests of neurocognitive outcomes and investigate more specific cognitive domains. These tests are believed to be more specialised and sensitive, with greater potential to detect more modest effects on cognitive performance(Reference Bellisle, Blundell and Dye42). The utility and merit of these tests have been evaluated, and experts agree that there is a pressing need for psychometrically sound instruments capable of detecting subtle differences in executive functioning in children(Reference Willoughby, Wirth and Blair43).

The IFOS study attempted to provide a high-dose n-3 LCPUFA within fish oil; however, the actual increase in DHA was modest and thought to be as a result of the form (ethyl ester) and mode of supplementation (directly to the infant via liquid squired from the capsule). Consequently, the present results may be attributable to an insufficient dose. Yet, a high dosage has conferred no consistent additional benefit in an RCT of infant formula supplementation utilising a variable dose research design(Reference Drover, Hoffman and Castaneda44,Reference Colombo, Carlson and Cheatham45) . Future research examining high dosages of n-3 LCPUFA supplement during infancy with long-term follow-up into later childhood is required to assist in the interpretation of the present findings.

The IFOS sample population were well educated with high-income and high breast-feeding rates. The social characteristics of our sample population may enhance the real-world utility of this study as parents within this demographic are more likely to possess the financial means to purchase commodities such as infant fish-oil products in the belief that they may confer a neurocognitive advantage. However, this does potentially limit the generalisability of the present study, especially to families with lower rates of income and education, with high rates of infant formula feeding. Such populations are likely to have lower DHA consumption(Reference Nochera, Goossen and Brutus46).

To our knowledge, this is the first published RCT to examine the long-term neurocognitive and behavioural effects of fish-oil supplementation in healthy, term, primarily breast-fed infants. The percentage of participants retained within the study was higher than other large-scale long-term longitudinal studies in this field(Reference Cheatham, Nerhammer and Asserhoj39,Reference Jensen, Voigt and Llorente47) . While the nutritional supplement and infant formula industries market DHA as a conduit to optimise brain development and child learning, our study found infant fish-oil supplementation provided no advantage to well-nourished, Australian children.

Possible weaknesses include that our trial was designed to assess the role of fish oil in allergy prevention(Reference Meldrum, D’Vaz and Dunstan21). Therefore, infants at high risk of developing allergic disease due to maternal allergy were recruited, as they were at a high risk of developing allergy. Considering that allergic disease has been associated with neurodevelopment in a bidirectional manner(Reference Chida, Hamer and Steptoe48), this population may differ when compared with a non-allergic population, although the exact nature of this potential effect remains unclear. A second weakness is the lack of blinding. At 18 months, the majority of participants in the fish-oil group correctly guessed their infant’s group allocation and participants were then unblinded at 30 months of age. It is feasible that parents within the fish-oil supplementation group may have altered perceptions of their child’s skills, particularly considering the group differences observed in this cohort in parent-report measures at both 18 months and within the present follow-up, compared with clinician-observed measurement where no differences were observed(Reference Meldrum, D’Vaz and Simmer22). While the likelihood that such as bias would extend until 6 years of age is questionable, this remains a consideration in the interpretation of the results.

In addition, a large number of statistical comparisons were performed. Statistical corrections were not undertaken, as it has been validly argued that this would not be appropriate in the case of consistent, repeated and biologically plausible patterns(Reference Bacchetti49). This is supported by the current finding of increased externalising behavioural problems in the supplemented group of in line with our previous trends at 18 months. However, it remains possible that the present results were due to chance.

Conclusion

Fish-oil supplementation during infancy for predominantly breast-fed infants is not recommended for the purposes of enhancing long-term neurocognitive or behavioural outcomes in early childhood. Our results indicate no positive behavioural effects among 6-year-old children (especially in boys), running counter to the hypothesis that fish-oil supplementation during infancy incites long-term improvement in brain development.

Acknowledgements

We gratefully acknowledge the infants and their families for their participation in this study.

This study was funded by the National Health and Medical Research Council of Australia (grant ID: 458502). Dr Heaton was supported by PhD scholarships from the University of Western Australia.

None of the authors has financial relationships relevant to this research to disclose.

S. J. M., K. S. and S. L. P. conceptualised and designed the study and procured funding for the present neurodevelopmental follow-up. S. J. M. and J. K. F. selected the neurocognitive tests and supervised the psychometric assessment. A. E. H. coordinated cohort maintenance and performed the neurocognitive tests. A. E. H. and S. J. M. analysed and interpreted the results. All authors critically reviewed the results and added intellectual content. S. J. M. and A. E. H. participated in manuscript drafting, review and preparation. All authors revised and approved the submitted manuscript.

There are no potential conflicts of interest to declare for any of the listed authors.

References

Brenna, JT & Carlson, SE (2014) Docosahexaenoic acid and human brain development: evidence that a dietary supply is needed for optimal development. J Hum Evol 77, 99106.CrossRefGoogle ScholarPubMed
Martinez, M (1992) Tissue levels of polyunsaturated fatty acids during early human development. J Pediatr 120, S129138.CrossRefGoogle ScholarPubMed
Galkina, OV, Putilina, FE & Eshchenko, ND (2014) Changes in the lipid composition of the brain during early onthogenesis. Neurochem J 8, 8388.CrossRefGoogle Scholar
Calderon, F & Kim, HY (2004) Docosahexaenoic acid promotes neurite growth in hippocampal neurons. J Neurochem 90, 979988.CrossRefGoogle ScholarPubMed
Wood, JN & Grafman, J (2003) Human prefrontal cortex: processing and representational perspectives. Nat Rev Neurosci 4, 139147.CrossRefGoogle ScholarPubMed
Durston, S & Casey, BJ (2006) What have we learned about cognitive development from neuroimaging? Neuropsychologia 44, 21492157.CrossRefGoogle ScholarPubMed
Meyer, BJ (2011) Are we consuming enough long chain omega-3 polyunsaturated fatty acids for optimal health? Prostaglandins Leukot Essent Fatty Acids 85, 275280.CrossRefGoogle ScholarPubMed
Weiser, MJ, Butt, CM & Mohajeri, MH (2016) Docosahexaenoic acid and cognition throughout the lifespan. Nutrients 8, 99.CrossRefGoogle ScholarPubMed
Hibbeln, JR, Davis, JM, Steer, C, et al. (2007) Maternal seafood consumption in pregnancy and neurodevelopmental outcomes in childhood (ALSPAC study): an observational cohort study. Lancet 369, 578585.CrossRefGoogle ScholarPubMed
Daniels, JL, Longnecker, MP, Rowland, AS, et al. (2004) Fish intake during pregnancy and early cognitive development of offspring. Epidemiology 15, 394402.CrossRefGoogle ScholarPubMed
Davidson, PW, Cory-Slechta, DA, Thurston, SW, et al. (2011) Fish consumption and prenatal methylmercury exposure: cognitive and behavioral outcomes in the main cohort at 17 years from the Seychelles child development study. Neurotoxicology 32, 711717.CrossRefGoogle ScholarPubMed
Julvez, J, Méndez, M, Fernandez-Barres, S, et al. (2016) Maternal consumption of seafood in pregnancy and child neuropsychological development: a longitudinal study based on a population with high consumption levels. Am J Epidemiol 183, 169182.CrossRefGoogle ScholarPubMed
Gould, JF, Smithers, LG & Makrides, M (2013) The effect of maternal omega-3 (n-3) LCPUFA supplementation during pregnancy on early childhood cognitive and visual development: a systematic review and meta-analysis of randomized controlled trials. Am J Clin Nutr 97, 531544.CrossRefGoogle ScholarPubMed
Hadders-Algra, M (2011) Prenatal and early postnatal supplementation with long-chain polyunsaturated fatty acids: neurodevelopmental considerations. Am J Clin Nutr 94, 1874S1879S.CrossRefGoogle ScholarPubMed
Simmer, K (2016) Fish-oil supplementation: the controversy continues. Am J Clin Nutr 103, 12.CrossRefGoogle ScholarPubMed
Meldrum, S & Simmer, K (2016) Docosahexaenoic acid and neurodevelopmental outcomes of term infants. Ann Nutr Metab 69, Suppl. 1, 2228.CrossRefGoogle ScholarPubMed
Ryan, AS, Astwood, JD, Gautier, S, et al. (2010) Effects of long-chain polyunsaturated fatty acid supplementation on neurodevelopment in childhood: a review of human studies. Prostaglandins Leukot Essent Fatty Acids 82, 305314.CrossRefGoogle ScholarPubMed
Jasani, B, Simmer, K, Patole, SK, et al. (2017) Long chain polyunsaturated fatty acid supplementation in infants born at term. Cochrane Database Syst Rev, issue 3, CD000376.Google ScholarPubMed
Qawasmi, A, Landeros-Weisenberger, A, Leckman, JF, et al. (2012) Meta-analysis of long-chain polyunsaturated fatty acid supplementation of formula and infant cognition. Pediatrics 129, 11411149.CrossRefGoogle ScholarPubMed
Shulkin, M, Pimpin, L, Bellinger, D, et al. (2018) n-3 Fatty acid supplementation in mothers, preterm infants, and term infants and childhood psychomotor and visual development: a systematic review and meta-analysis. J Nutr 148, 409418.CrossRefGoogle ScholarPubMed
Meldrum, SJ, D’Vaz, N, Dunstan, J, et al. (2011) The Infant Fish Oil Supplementation Study (IFOS): design and research protocol of a double-blind, randomised controlled n-3 LCPUFA intervention trial in term infants. Contemp Clin Trials 32, 771778.CrossRefGoogle ScholarPubMed
Meldrum, SJ, D’Vaz, N, Simmer, K, et al. (2012) Effects of high-dose fish oil supplementation during early infancy on neurodevelopment and language: a randomised controlled trial. Br J Nutr 108, 14431454.CrossRefGoogle Scholar
D’Vaz, N, Meldrum, SJ, Dunstan, JA, et al. (2012) Postnatal fish oil supplementation in high-risk infants to prevent allergy: randomized controlled trial. Pediatrics 130, 674682.CrossRefGoogle ScholarPubMed
Semel, E, Wiig, E & Secord, W (2003) Clinical Evaluation of Language Fundamentals (CELF) Manual, 4th ed. San Antonio, TX.: Pearson Education.Google Scholar
Renfrew, CE (1995) The Bus Story Test: A Test of Narrative Speech. London, UK: Speechmark Publishing Google Scholar
Bishop, DVM (2006) CCC-2; Children’s Communication Checklist-2 Manual. San Antonio, TX: Pearson.Google Scholar
Auyeung, B, Baron-Cohen, S, Wheelwright, S, et al. (2008) The Autism Spectrum Quotient: children’s version (AQ-Child). J Autism Dev Disord 38, 12301240.CrossRefGoogle ScholarPubMed
Achenbach, TM & Rescola, LA (2003) Manual for ASEBA School-Age Forms & Profiles. Burlington, VT.: University of Vermont.Google Scholar
Pfeiffer, SI & Jarosewich, T (2003) Gifted Rating Scales. San Antonio, TX: The Psychological Corporation.Google Scholar
Archibald, SJ & Kerns, KA (1999) Identification and description of new tests of executive functioning in children. Child Neuropsychol 5, 115130.CrossRefGoogle Scholar
Cragg, L & Nation, K (2007) Self-ordered pointing as a test of working memory in typically developing children. Memory 15, 526535.CrossRefGoogle ScholarPubMed
Weschler, D (1999) Wechsler Abbreviated Scale of Intelligence (WASI). San Antonio, TX: Psychological Corporation.Google Scholar
Axelrod, BN (2002) Validity of the Wechsler abbreviated scale of intelligence and other very short forms of estimating intellectual functioning. Assessment 9, 1723.CrossRefGoogle ScholarPubMed
Quinn, PJ, O’Callaghan, M, Williams, GM, et al. (2001) The effect of breastfeeding on child development at 5 years: a cohort study. J Paediatr Child Health 37, 465469.CrossRefGoogle ScholarPubMed
Lenth, RV (2006) Java Applets for Power and Sample Size [Computer software]. http://www.stat.uiowa.edu/~rlenth/Power (accessed May 2019).Google Scholar
Makrides, M, Gould, JF, Gawlik, NR, et al. (2014) Four-year follow-up of children born to women in a randomized trial of prenatal DHA supplementation. JAMA 311, 18021804.CrossRefGoogle Scholar
Gould, JF, Treyvaud, K, Yelland, LN, et al. (2017) Seven-year follow-up of children born to women in a randomized trial of Prenatal DHA Supplementation. JAMA 317, 11731175.CrossRefGoogle Scholar
Meldrum, S, Dunstan, JA, Foster, JK, et al. (2015) Maternal fish oil supplementation in pregnancy: a 12 year follow-up of a randomised controlled trial. Nutrients 7, 20612067.CrossRefGoogle ScholarPubMed
Cheatham, CL, Nerhammer, AS, Asserhoj, M, et al. (2011) Fish oil supplementation during lactation: effects on cognition and behavior at 7 years of age. Lipids 46, 637645.CrossRefGoogle ScholarPubMed
Liao, Y, Xie, B, Zhang, H, et al. (2019) Efficacy of omega-3 PUFAs in depression: a meta-analysis. Transl Psychiatry 9, 190.CrossRefGoogle ScholarPubMed
Wani, AL, Bhat, SA & Ara, A (2015) Omega-3 fatty acids and the treatment of depression: a review of scientific evidence. Integr Med Res 4, 132141.CrossRefGoogle ScholarPubMed
Bellisle, F, Blundell, JE, Dye, L, et al. (1998) Functional food science and behaviour and psychological functions. Br J Nutr 80, Suppl. 1, S173S193.CrossRefGoogle ScholarPubMed
Willoughby, MT, Wirth, RJ & Blair, CB (2011) Contributions of modern measurement theory to measuring executive function in early childhood: an empirical demonstration. J Exp Child Psychol 108, 414435.CrossRefGoogle ScholarPubMed
Drover, JR, Hoffman, DR, Castaneda, YS, et al. (2011) Cognitive function in 18-month-old term infants of the DIAMOND study: A randomized, controlled clinical trial with multiple dietary levels of docosahexaenoic acid. Early Hum Dev 87, 223230.CrossRefGoogle ScholarPubMed
Colombo, J, Carlson, SE, Cheatham, CL, et al. (2013) Long-term effects of LCPUFA supplementation on childhood cognitive outcomes. Am J Clin Nutr 98, 403412.CrossRefGoogle ScholarPubMed
Nochera, CL, Goossen, LH, Brutus, AR, et al. (2011) Consumption of DHA + EPA by low-income women during pregnancy and lactation. Nutr Clin Pract 26, 445450.CrossRefGoogle ScholarPubMed
Jensen, CL, Voigt, RG, Llorente, AM, et al. (2010) Effects of early maternal docosahexaenoic acid intake on neuropsychological status and visual acuity at five years of age of breast-fed term infants. J Pediatr 157, 900905.CrossRefGoogle ScholarPubMed
Chida, Y, Hamer, M & Steptoe, A (2008) A bidirectional relationship between psychosocial factors and atopic disorders: a systematic review and meta-analysis. Psychosom Med 70, 102116.CrossRefGoogle ScholarPubMed
Bacchetti, P (2002) Peer review of statistics in medical research: the other problem. BMJ 324, 12711273.CrossRefGoogle ScholarPubMed
Figure 0

Fig. 1. Flow chart for study design, participant progress and data collection. GI, gastrointestinal.

Figure 1

Table 1. Baseline characteristics of the two groups seen at the 6-year follow-up(Mean values and standard deviations)

Figure 2

Table 2. Language scores of the placebo group compared with the fish-oil group(Mean values and standard deviations)

Figure 3

Table 3. Behaviour scores of the placebo group compared with the fish-oil group(Mean values and standard deviations)

Figure 4

Table 4. Working memory scores of the placebo group compared with the fish-oil group(Mean values and standard deviations)

Figure 5

Table 5. Global intelligence scores of the placebo group compared with the fish-oil group(Mean values and standard deviations)