Full length articleMaternal and partner prenatal alcohol use and infant cognitive development
Introduction
Alcohol has been established as a teratogen and may produce central nervous system deficits at high levels of exposure, yet uncertainty remains regarding the association between low-level prenatal alcohol exposure and impaired cognitive development. Most large-scale studies fail to detect any observable effect (Alati et al., 2008; Forrest et al., 1991; Kelly et al., 2009; Kesmodel et al., 2012; O'Callaghan et al., 2007; Williams Brown et al., 2010). A recent meta-analysis found evidence for lower IQ scores among children exposed to binge-level alcohol exposure, yet this effect was no longer statistically significant when only studies considered ‘high-quality’ were included (Flak et al., 2014). The same meta-analysis found a small but significant counterintuitive effect in with low-level exposure was associated with higher IQ scores in childhood (Flak et al., 2014). No association was found between binge or moderate exposure and impairment in other cognitive domains including attention, verbal ability, mathematical ability at school, language development, or visuo-spatial ability (Flak et al., 2014 supplement). Some studies, however, have shown the apparent ‘positive’ effect of low-level alcohol exposure on IQ is mitigated with appropriate adjustment for confounders such as maternal socioeconomic status and education (Brown et al., 2010; Jacobson et al., 1993; Kelly et al., 2009).
A major challenge facing research in this area is that systematic differences exist between women who drink alcohol during pregnancy and women who are non-drinkers on factors that are independently associated with child developmental outcomes. Furthermore, comparison of two systematic reviews reveals divergent sets of characteristics between those whose children have a diagnosis of FASD compared with those who tend to drink alcohol in pregnancy − an “epidemiological puzzle” (Meurk et al., 2014). A systematic review found that apart from pre-pregnancy alcohol consumption, older age, higher educational attainment, higher parity, being employed, and higher income were consistent predictors of increased likelihood to drink during pregnancy (Skagerström et al., 2013). Many of these factors describe a population of overall advantaged women whose offspring are likely to be raised in enriched environments. In contrast, a systematic review found that lower educational attainment, being single during pregnancy, unemployment, residing in a remote area, and lower income were all associated with having a child with FASD (Esper and Furtado, 2014). This is in line with the common finding that Fetal Alcohol Spectrum Disorders (FASD) are concentrated in disadvantaged, low SES populations (Abel, 1995; Abel and Hannigan, 1995; Burns et al., 2013; Chudley, 2008; Kvigne et al., 2003; Lange et al., 2013; May et al., 2000; May et al., 2004; May et al., 2009; Meurk et al., 2014). Older maternal age, substance use, smoking, and experience of trauma or violence were common risk factors for both FASD (Esper and Furtado, 2014) and prenatal alcohol exposure (Skagerström et al., 2013). At an epidemiological level, these divergent sets of demographic predictors suggest some interaction between prenatal alcohol exposure and environmental factors in producing deficits. For this reason, it is critical that studies attempting to assess impacts of prenatal alcohol exposure collect comprehensive data on psychosocial and demographic factors and include these in models.
Random allocation to an alcohol exposure condition in pregnancy is impossible; therefore, confounding in observational studies is dealt with statistically by inclusion of covariates in regression models. Propensity Score Matching is an alternative technique, used when randomisation to conditions is not possible, which ensures baseline characteristics are consistent between groups and any differences between them attributable to ‘treatment’ or exposure effects (Austin, 2011; Rosenbaum and Rubin, 1985). The Millennium Cohort Study in the UK observed no difference in cognitive performance between children with low-level prenatal alcohol exposure and those not exposed, and this was regardless of whether ordinary least-squares regression or propensity score matching was used to account for bias (Kelly et al., 2013).
Another method by which the impact of shared postnatal family environment can be disentangled from that of the intrauterine environment is to compare magnitude of associations between maternal alcohol use and offspring outcomes with that of alcohol use by partners (Alati et al., 2008; Smith, 2008). Some studies using animal models suggest paternal effects of pre-conception alcohol use on offspring, including lower birth weight (Abel, 2004; Meek et al., 2007), and some suggest cognitive deficits in early life (Abel, 2004). In human research, one prospective cohort study found that while moderate alcohol use by mothers predicted poorer language ability in children, this effect was no greater in magnitude than the association with alcohol use by fathers (Alati et al., 2008). However, a subsequent follow-up of the same sample found a specific effect of frequent, heavy alcohol consumption by mothers and associated lower academic abilities in offspring (Alati et al., 2013). Few other prospective longitudinal studies have accounted for the effect of partner alcohol consumption when studying effects of prenatal alcohol exposure on child development.
The aims of this paper were to (1) examine the relationship between prenatal alcohol exposure across four time points during pregnancy on infant cognitive development at 12 months of age and (2) assess the relationship between alcohol consumption by partners and infant cognitive development.
Section snippets
Participants
Data were drawn from The Triple B Study (Bumps, Babies and Beyond), a prospective pregnancy cohort study. This study was approved by the Sydney Local Health District Research Ethics and Governance Office, and this was ratified by Ethics Committees at participating hospital and university sites. Pregnant women were recruited between 2008 and 2013 from waiting rooms of antenatal clinics at metropolitan public hospitals in New South Wales and Western Australia. All women in waiting rooms on
Prevalence of alcohol consumption by mothers and partners
Alcohol use at any time during pregnancy was reported by the majority (65.7%) of women (Table 1). In the first 6 weeks of Trimester 1, consumption at binge and heavy levels was the most common pattern, with 27.3% and 23.1% of drinkers (16.5% and 14.0% of total sample) falling into these categories, respectively. Alcohol consumption was markedly less common and occurred at lower levels in the latter half of Trimester 1, with 72.3% of women abstaining from alcohol completely and the majority of
Discussion
Infants born to women who drank at low levels during Trimester 2 had higher cognitive ability at 12-months of age than those born to abstainers; this finding was robust and significant, even in samples matched on all baseline characteristics distinguishing drinkers from abstainers via propensity score matching. This is not the first study to report this finding; the meta-analysis by Flak et al. (2014) made the same finding when pooling results of high-quality studies. In a systematic review by
Funding
The research was funded by an Australian National Health and Medical Research Council (NHMRC) Project Grant #GNT630517 to RPM, DH, SA, JN, EE, LB, SJ, CO, and AB, and was financially supported by the National Drug and Alcohol Research Centre (NDARC), University of New South Wales (UNSW). The study has also been supported by Australian Rotary Health (ARH; 2012–2013) the Foundation for Alcohol Research and Education (FARE; 2010–2011), and the Financial Markets Foundation for Children (Australia)
Contributors
CM conceived the study, collected data, conducted analyses and wrote the manuscript under supervision of DH, RM and LB. DH, RM, LB, EE, CO, JN, SA, SJ conceived the parent study, obtained funding, oversaw research and provided critical review of the manuscript and approved the final manuscript. GY and JW assisted with data analyses and drafts of the manuscript, provided critical review and approved the final manuscript.
LR collected data, provided critical review and approved the final
Conflict of interest
No conflict declared.
Acknowledgements
We gratefully acknowledge the investigators of the Triple B Study not listed as authors and the NDARC research staff who collected the data. We also wish to acknowledge the hospitals and antenatal clinics for their assistance with recruitment, and the study participants and their families. We also wish to acknowledge the Longitudinal Cohorts Research Consortium (LCRC); NHMRC Project Grants: AAP1009381, AAP1064893; formally the Cannabis Cohorts Research Consortium (CCRC).
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