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Maternal social support during and after pregnancy and child cognitive ability: examining timing effects in two cohorts

Published online by Cambridge University Press:  13 December 2023

Anna Lähdepuro*
Affiliation:
Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland Yale Child Study Center, Yale University, New Haven, CT, USA
Katri Räikkönen
Affiliation:
Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
Hung Pham
Affiliation:
Yale Child Study Center, Yale University, New Haven, CT, USA
Tara Thompson-Felix
Affiliation:
Yale Child Study Center, Yale University, New Haven, CT, USA
Rand S. Eid
Affiliation:
Department of Psychology, McGill University, Montreal, QC, Canada
Thomas G. O'Connor
Affiliation:
Departments of Psychiatry, Neuroscience, Obstetrics and Gynecology, and Wynne Center for Family Research, University of Rochester, Rochester, NY, USA
Vivette Glover
Affiliation:
Imperial College London, London, UK
Jari Lahti
Affiliation:
Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland Folkhälsan Research Center, Helsinki, Finland
Kati Heinonen
Affiliation:
Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland Psychology/Welfare Sciences, Tampere University, Tampere, Finland Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, ON, Canada Population Health Unit, Finnish Institute for Health and Welfare, Helsinki and Oulu, Finland
Elina Wolford
Affiliation:
Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
Marius Lahti-Pulkkinen
Affiliation:
Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland Population Health Unit, Finnish Institute for Health and Welfare, Helsinki and Oulu, Finland Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
Kieran J. O'Donnell
Affiliation:
Yale Child Study Center, Yale University, New Haven, CT, USA Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University, New Haven, CT, USA
*
Corresponding author: Anna Lähdepuro; Email: [email protected]
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Abstract

Background

Maternal anxiety, depression, and stress during and after pregnancy are negatively associated with child cognitive development. However, the contribution of positive maternal experiences, such as social support, to child cognitive development has received less attention. Furthermore, how maternal experience of social support during specific developmental periods impacts child cognitive development is largely unknown.

Methods

Using data from the Avon Longitudinal Study of Parents and Children (ALSPAC; n = 5784) and the Prediction and Prevention of Preeclampsia and Intrauterine Growth Restriction study (PREDO; n = 420), we investigated the associations between maternal perceived social support during and after pregnancy and child's general cognitive ability at 8 years of age, assessed with the Wechsler Intelligence Scale for Children (WISC). Bayesian relevant life course modeling was used to investigate timing effects of maternal social support on child cognitive ability.

Results

In both cohorts, higher maternal perceived social support during pregnancy was associated with higher performance on the WISC, independent of sociodemographic factors and concurrent maternal symptoms of depression and anxiety. In ALSPAC, pregnancy emerged as a sensitive period for the effects of perceived social support on child cognitive ability, with a stronger effect of social support during pregnancy than after pregnancy on child cognitive ability.

Conclusions

Our findings, supported from two prospective longitudinal cohorts, suggest a distinct role of maternal perceived social support during pregnancy for cognitive development in children. Our study suggests that interventions aimed at increasing maternal social support during pregnancy may be an important strategy for promoting maternal and child well-being.

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

Introduction

The Developmental Origins of Health and Disease (DOHaD)-hypothesis states that prenatal environmental factors may alter the development of the brain and other organs, thereby influencing neurodevelopment across the lifespan (Barker, Reference Barker2007; O'Donnell & Meaney, Reference O'Donnell and Meaney2017; but see Glover, O'Connor, & O'Donnell, Reference Glover, O'Connor and O'Donnell2023). Supporting the DOHaD-hypothesis, ample evidence suggests that maternal psychological distress (i.e. depression, anxiety, and stress) during and after pregnancy associates with poorer neurodevelopmental outcomes in children (Girchenko et al., Reference Girchenko, Tuovinen, Lahti-Pulkkinen, Lahti, Savolainen, Heinonen and Räikkönen2018; Manzari, Matvienko-Sikar, Baldoni, O'Keeffe, & Khashan, Reference Manzari, Matvienko-Sikar, Baldoni, O'Keeffe and Khashan2019; Pearson et al., Reference Pearson, Bornstein, Cordero, Scerif, Mahedy, Evans and Stein2016; Van den Bergh et al., Reference Van den Bergh, van den Heuvel, Lahti, Braeken, de Rooij, Entringer and Schwab2020), including lower cognitive performance (Evans et al., Reference Evans, Melotti, Heron, Ramchandani, Wiles, Murray and Stein2012; O'Connor et al., Reference O'Connor, Ciesla, Sefair, Thornburg, Brown, Glover and O'Donnell2022; Power, van IJzendoorn, Lewis, Chen, & Galbally, Reference Power, van IJzendoorn, Lewis, Chen and Galbally2021; Rogers et al., Reference Rogers, Obst, Teague, Rossen, Spry, MacDonald and Hutchinson2020; Tarabulsy et al., Reference Tarabulsy, Pearson, Vaillancourt-Morel, Bussières, Madigan, Lemelin and Royer2014). Much less attention has been paid to possible protective factors for child cognitive development such as maternal social support during and after pregnancy. Identifying protective factors is important, since cognitive ability in childhood is associated with educational, occupational, and health outcomes later in life (Blair, Reference Blair2016; Wraw, Deary, Der, & Gale, Reference Wraw, Deary, Der and Gale2016; Wraw, Deary, Gale, & Der, Reference Wraw, Deary, Gale and Der2015).

There is evidence that higher perceived maternal social support during and after pregnancy is associated with lower risk of psychopathology in children (Lähdepuro et al., Reference Lähdepuro, Lahti-Pulkkinen, Pyhälä, Tuovinen, Lahti, Heinonen and Räikkönen2023; Parkes & Sweeting, Reference Parkes and Sweeting2018), but data remain scarce on the associations between maternal social support and cognitive outcomes in children. To our knowledge, the Conditions Affecting Neurocognitive Development and Learning in Early Childhood (CANDLE) cohort of ca. 1000 mother-child-dyads is one of the few cohorts to examine the effect of maternal social support on child cognitive ability (Lewinn, Bush, Batra, Tylavsky, & Rehkopf, Reference Lewinn, Bush, Batra, Tylavsky and Rehkopf2020; Shin et al., Reference Shin, Lewinn, Bush, Tylavsky, Davis and Shaban-Nejad2019). In this cohort, maternal social support network size at 4 weeks postpartum was associated with higher child cognitive ability at 2 years of age (Shin et al., Reference Shin, Lewinn, Bush, Tylavsky, Davis and Shaban-Nejad2019), whereas maternal social support at child age 2 years, but not during pregnancy, was associated with higher child cognitive ability at 4–6 years of age (Lewinn et al., Reference Lewinn, Bush, Batra, Tylavsky and Rehkopf2020). These studies were limited to investigating cognitive outcomes among preschool-aged children or younger, and findings were equivocal regarding the relative importance of maternal social support during different developmental periods (i.e. during or after pregnancy) coinciding with different developmental windows (e.g. in utero, neonatal period, or beyond). Furthermore, no previous study has investigated whether maternal social support is associated with child cognitive ability independently of concurrent maternal distress (i.e. symptoms of depression or anxiety), or whether maternal social support buffers the effects of maternal distress on child cognitive ability; studies addressing these knowledge gaps are needed to inform effective targeting of interventions.

Using data from two prospective pregnancy cohort studies, we investigated whether higher maternal perceived social support, reported both during and after pregnancy, was associated with higher general cognitive ability among children at 8 years of age, and whether these associations were independent of, or moderated, the effects of maternal depressive and anxiety symptoms, assessed at the same time points as social support, on child cognitive ability. Utilizing a Bayesian relevant life course modeling (BRLM) approach (Madathil, Joseph, Hardy, Rousseau, & Nicolau, Reference Madathil, Joseph, Hardy, Rousseau and Nicolau2018), we then investigated whether there were sensitive or critical periods that best explain the potential association between maternal social support and child cognitive ability, or, alternatively, if any effects of maternal social support on child cognitive ability accumulate across time.

Methods

Participants

Alspac

The Avon Longitudinal Study of Parents and Children (ALSPAC) (Boyd et al., Reference Boyd, Golding, Macleod, Lawlor, Fraser, Henderson and Smith2013; Fraser et al., Reference Fraser, Macdonald-Wallis, Tilling, Boyd, Golding, Davey Smith and Lawlor2013) is an ongoing population-based cohort study that enrolled pregnant women residing in the Avon area, United Kingdom, with expected dates of delivery between 1st April 1991 and 31st December 1992. In the first phase of data collection, the study comprised 14 541 pregnancies with maternal questionnaires available from the pregnancy period; these pregnancies resulted in 13 988 children who were alive at 1 year of age. Of the participating women with singleton pregnancies (n = 14 468), 10 528 (72.8%) completed a questionnaire assessing their perceived social support during pregnancy. Of them, 9175 (87.1%) assessed their perceived social support again after pregnancy at child age 8 months. Neurocognitive assessment data, at median child age of 8.5 years (range 7.4–10.5) were available for 5784 (54.9%) children of mothers with social support data from pregnancy, and for 5498 (59.9%) children of mothers with social support data from pregnancy and after pregnancy.

The ALSPAC study website contains details of all the data that is available through a fully searchable data dictionary and variable search tool that can be found at http://www.bristol.ac.uk/alspac/researchers/our-data/. Ethical approval for the study was obtained from the ALSPAC Ethics and Law Committee and the Local Research Ethics Committees. Informed consent for the use of data collected via questionnaires and clinics was obtained from participants following the recommendations of the ALSPAC Ethics and Law Committee at the time. Approval for secondary data analyses was obtained from Yale University Institutional Review Board (Protocol ID: 2000036041).

PREDO

Study participants come from the ongoing Prediction and Prevention of Pre-eclampsia and Intrauterine Growth Restriction (PREDO) study (Girchenko et al., Reference Girchenko, Lahti, Tuovinen, Savolainen, Lahti, Binder and Räikkönen2017). PREDO enrolled 1079 pregnant women to a clinical arm of this prospective longitudinal study. Of these women, 969 (89.8%) had one or more known risk factors for preeclampsia and intrauterine growth restriction. The sample was appended by 89 pregnant women from the control arm of the study who were recruited independently of their risk factor status, resulting in a sample of 1168 pregnant women. The women were recruited when they arrived for their first ultrasound screening at 12 + 0 to 13 + 6 gestational weeks + days, which were conducted at ten study hospitals in Southern and Eastern Finland, and gave birth to a singleton live child between 2006–2010.

Of the 1168 women, 828 (70.9%) completed a questionnaire assessing their perceived social support during pregnancy. Of them, 497 (60.0%) assessed their perceived social support again after pregnancy at child age 8 years. Neurocognitive assessment data at median child age of 8.5 years (range 7.0–11.9) were available for 420 (50.7%) children of mothers with social support data from pregnancy, and for 370 (74.4%) children of mothers with social support data from pregnancy and after pregnancy.

The Ethics committees of the Helsinki and Uusimaa Hospital District and all participating hospitals approved the PREDO study protocol. All mothers gave written informed consent to participate, and parent(s) gave informed consents for their children.

The authors assert that all procedures in both cohorts contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008.

Measures

Maternal social support and distress and child cognitive ability in ALSPAC

Mothers rated their perceived social support during pregnancy at a median gestational week 24 and after pregnancy at child age 8 months with a ten-item questionnaire developed by the ALSPAC team. Each item (e.g. ‘I have no one to share my feelings with’, ‘If I feel tired I can rely on my partner to take over’) was rated on a four-point scale (ranging from ‘exactly feel’ (0) to ‘never feel’ (3)). For mothers who reported not having a partner, partner-related items were coded as ‘never feel’. Positively worded items were reverse-coded so that the sum score ranged from 0–30, higher score indicating higher social support.

Maternal symptoms of depression and anxiety were assessed using the ten-item Edinburgh Postnatal Depression Scale (EPDS) (Cox, Holden, & Sagovsky, Reference Cox, Holden and Sagovsky1987), and the eight-item anxiety subscale of the Crown-Crisp Experiential Index (CCEI) (Birtchnell, Evans, & Kennard, Reference Birtchnell, Evans and Kennard1988), respectively. In our analyses we focus on measures of maternal depression and anxiety at two time points (gestational week 18 during pregnancy and child age 8 months after pregnancy) which we define as ‘concurrent’ measures of maternal distress at time points most closely aligned with assessments of maternal social support.

Children's general cognitive ability (intelligence quotient; IQ) was assessed during an in-person visit using the short version of the Wechsler Intelligence Scale for Children, 3rd UK edition (WISC-III) (Wechsler, Golombok, & Rust, Reference Wechsler, Golombok and Rust1992), the most current WISC version at the time of testing. Scores were age-scaled based on the UK normative data provided by the WISC-III manual with a Total IQ score mean of 100 and a standard deviation (s.d.) of 15.

Maternal social support and distress and child cognitive ability in PREDO

Mothers reported their perceived satisfaction with social support during pregnancy at gestational weeks 12–14 and after pregnancy at child age 8 years with Sarason's six-item Social Support Questionnaire (SSQ6) (Sarason, Sarason, Shearin, & Pierce, Reference Sarason, Sarason, Shearin and Pierce1987). The SSQ6 first asks about the number of people that are available to provide social support (e.g. ‘Whom can you really count on to care about you, regardless of what is happening to you?’), followed by questions on satisfaction with social support on a six-point scale (each item ranging from ‘not at all satisfied’ (1) to ‘very satisfied’ (6)). We used the SSQ6 satisfaction sum score as an indicator of perceived social support, scores ranging from 6–36 with a higher score indicating higher satisfaction with social support.

Concurrently to completing the SSQ6 at these two time points (gestational weeks 12–14 during pregnancy and child age 8 years after pregnancy), mothers reported their depressive symptoms with the 20-item Center of Epidemiologic Studies Depression Scale (CES-D) (Radloff, Reference Radloff1977), and anxiety symptoms with the 20-item State-Trait Anxiety Inventory-state version (STAI) (Spielberger, 1983).

Children's general cognitive ability (IQ) was assessed during an in-person visit using a short, seven subtest version (Crawford, Anderson, Rankin, & MacDonald, Reference Crawford, Anderson, Rankin and MacDonald2010) of the Wechsler Intelligence Scale for Children, 4th Finnish edition (WISC-IV) (Wechsler, Reference Wechsler2010), the most current WISC version at the time of testing. The short-version Full-scale IQ score was converted to a scale that has a mean of 100 and s.d. of 15 based on Finnish normative data.

Psychometric properties of the measures

The measures used in ALSPAC and PREDO for maternal social support (the 10-item questionnaire and SSQ-6), depressive (EPDS and CES-D) and anxiety (CCEI and STAI) symptoms and child cognitive ability (WISC-III and WISC-IV) have all shown good psychometric properties in previous studies (Birtchnell et al., Reference Birtchnell, Evans and Kennard1988; Friedman et al., Reference Friedman, Manriquez Prado, Santos Malavé, Vélez, Gillibrand Esquinazi, Sanchez and Williams2018; Gunning et al., Reference Gunning, Denison, Stockley, Ho, Sandhu and Reynolds2010; Park & Kim, Reference Park and Kim2023; Rascle, Bruchon-Schweitzer, & Sarason, Reference Rascle, Bruchon-Schweitzer and Sarason2005; Thomson et al., Reference Thomson, Allely, Purves, Puckering, McConnachie, Johnson and Wilson2014; Tracy, Salo, & Appleton, Reference Tracy, Salo and Appleton2018; Vilagut, Forero, Barbaglia, & Alonso, Reference Vilagut, Forero, Barbaglia and Alonso2016; Wechsler, Reference Wechsler2010; Wechsler et al., Reference Wechsler, Golombok and Rust1992). Reliability estimates of the scales for maternal social support, depressive and anxiety symptoms in ALSPAC and PREDO in the current study sample are shown in online Supplementary Table S1.

Covariates

In our analyses, we adjusted for the following covariates previously associated with social support and/or cognitive development (Lewinn et al., Reference Lewinn, Bush, Batra, Tylavsky and Rehkopf2020; O'Connor et al., Reference O'Connor, Ciesla, Sefair, Thornburg, Brown, Glover and O'Donnell2022).

ALSPAC

Mother-related covariates included self-reported age at delivery (years), parity (primiparous, multiparous), educational attainment (based on the UK educational system: none/Certificate of Secondary Education/vocational training, O-levels, A-levels, university degree or higher), household crowding index (the number of people in the household divided by the number of rooms: <0.5, ⩾0.50–0.75, >0.75–1.00, >1.00), marital/cohabiting status during pregnancy (married/cohabiting, not cohabiting), and substance use during early pregnancy (smoking and/or alcohol use). Child-related covariates included sex assigned at birth (male, female), birthweight (grams) and gestational age (weeks) derived from medical records, mother-reported ethnic background (White, non-White), and child age at cognitive assessment (years + months).

PREDO

Mother-related covariates included age at delivery (years) and parity (primiparous, multiparous) derived from the Finnish Medical Birth Register (MBR; Gissler, Louhiala, & Hemminki, Reference Gissler, Louhiala and Hemminki1997), and highest attained education level (primary or secondary, lower tertiary, upper tertiary) and substance use (smoking and/or alcohol use) during early pregnancy based on MBR data and self-reports. Only 2.4% of the mothers were not married/cohabiting at childbirth, therefore marital/cohabiting status was not included as a covariate. Child-related covariates included sex assigned at birth (male, female), birthweight (grams), and gestational age (weeks) derived from the MBR, and age at cognitive assessment (years + months). Furthermore, since the PREDO clinical study sample was enriched for women at elevated risk of preeclampsia (Girchenko et al., Reference Girchenko, Lahti, Tuovinen, Savolainen, Lahti, Binder and Räikkönen2017), we also adjusted for the presence or absence of maternal hypertensive disorders during the index pregnancy, including preeclampsia, eclampsia, gestational or chronic hypertension, and unspecified hypertension (International Classification of Diseases, 10th revision codes: I10, O10, O12–O16). Hypertensive disorders were derived from the MBR, medical records, and Care Register for Health Care (Sund, Reference Sund2012) and operationalized as a binary variable (none v. one or more). Data on household crowding was unavailable, and ethnicity was not recorded due to European Union legislation.

Statistical analyses

We used linear regression models to examine associations of maternal social support during and after pregnancy with child cognitive ability. Analyses were adjusted for child sex assigned at birth and age at cognitive assessment (Model 1), followed by all other mother- and child-related covariates in ALSPAC and PREDO (Model 2).

Next, we used linear regression models to test if the associations between maternal social support during and after pregnancy and child cognitive ability were independent of maternal concurrent depressive and anxiety symptoms (Model 3), while adjusting also for the covariates of Model 2. We then tested with separate interaction analyses if social support moderated the impact of concurrent maternal depressive or anxiety symptoms on child cognitive ability. Moderation effects were investigated separately during and after pregnancy.

To investigate timing effects of maternal social support on child cognitive ability, we used the BRLM (Madathil et al., Reference Madathil, Joseph, Hardy, Rousseau and Nicolau2018), adjusting for child's sex assigned at birth and age at cognitive assessment. Other covariates were not included in these analyses because data on these covariates were derived only during pregnancy. The BRLM first estimates the presence or absence of a lifetime effect of repeatedly assessed exposures on an outcome of interest. This lifetime effect size is defined as delta (δ) with a corresponding 95% credible interval (CrI). Next, weights (w) for each exposure period are estimated to indicate the proportion of the lifetime effect explained by the exposure at different time points. To facilitate interpretation, we present weights as percentages. The sum of all weights is fixed at 100% (i.e. w 1 + w 2 = 100). In our data, we test if maternal social support at two different time points (during and after pregnancy) has comparable or differing effects on child cognitive ability. We used BRLM to evaluate evidence for: (1) a critical period model, where social support at one time point is most relevant for child cognitive ability (e.g. w 1 = 100, w 2 = 0), (2) a sensitive period model, where social support at one time point has a relatively higher weight (e.g. w 1 = 66, w 2 = 33), or (3) an accumulation model, where social support at both time points have equal weights (w 1 = 50, w 2 = 50). We used posterior probabilities and Euclidean distances to evaluate evidence for which life-course model is best supported by the data; the model with the shortest Euclidean distance is considered the best-fitting model (Madathil et al., Reference Madathil, Joseph, Hardy, Rousseau and Nicolau2018).

Finally, we conducted sensitivity analyses using the abovementioned linear regression models in which we excluded children with an IQ score below 70 in the WISC assessment, as a proxy for a potential intellectual disability (Wechsler, Reference Wechsler2010; Wechsler et al., Reference Wechsler, Golombok and Rust1992).

Continuous scales that showed skewness were square root or rank-order transformed, and all continuous independent variables were standardized to facilitate effect size interpretation and cross-cohort comparisons. Regression coefficients are reported in IQ points; we additionally report standardized coefficients (β) as indicators of effect size in s.d. units. We used complete-case analyses. The BRLM analyses were performed with the rstan package in R.4.1.0 (R Core Team, 2022; Stan Development Team, 2020); other statistical analyses were performed with SPSS 29 (IBM Corp, 2020).

Results

Table 1 shows the characteristics of the participating mother-child-dyads in the ALSPAC and PREDO cohorts. In ALSPAC, mothers who provided data for this study were older, more likely to be primiparous, married/cohabiting, and with a higher education level than mothers who were not included in this study, and their children were more often female, White and had a higher birthweight and gestational age than children who were not included in this study (online Supplementary Table S2). In PREDO, mothers included in this study had a higher education level than mothers not included, whereas their children did not differ in the studied characteristics (online Supplementary Table S2). These abovementioned group differences, while statistically significant, represent small to moderate effect sizes.

Table 1. Characteristics of the analytic samples of the ALSPAC cohort (N = 5784) and the PREDO cohort (N = 420)

s.d., standard deviation; IQ, intelligence quotient; WISC-III/IV, Wechsler Intelligence Scale for Children, 3th/4th edition.

a Any smoking or alcohol use during early pregnancy.

b Any hypertensive disorder (preeclampsia, eclampsia, gestational, or chronic hypertension, and unspecified hypertension) v. no hypertensive disorders in current pregnancy.

c Edinburgh Postnatal Depression Scale (EPDS) at gestational week 18 (during pregnancy)/child age 8 months (after pregnancy) in ALSPAC. Center for Epidemiologic Studies Depression Scale (CES-D) at gestational week 12 (during pregnancy)/child age 8 years (after pregnancy) in PREDO.

d Crown-Crisp Experiential Index (CCEI) at gestational week 18 (during pregnancy)/child age 8 months (after pregnancy) in ALSPAC. State-Trait-Anxiety Inventory (STAI) at gestational week 12 (during pregnancy)/child age 8 years (after pregnancy) in PREDO.

e Reported at median gestational week 24 in ALSPAC, and at gestational weeks 12–14 in PREDO.

f Reported at child age 8 months in ALSPAC, and at child age 8 years in PREDO.

Online Supplementary Tables S3 and S4 show the associations of covariates with maternal perceived social support and with child cognitive ability, respectively. In ALSPAC, multiparous and non-cohabiting mothers, and mothers with lower education level and substance use during pregnancy reported lower perceived social support. There were no significant associations between maternal social support and covariates in PREDO (online Supplementary Table S3). In ALSPAC, maternal multiparity, younger age, lower education level, non-cohabiting, higher depressive and anxiety symptoms during and after pregnancy, and lower child birthweight and gestational age were associated with lower child cognitive ability, when adjusting for child sex assigned at birth and age (online Supplementary Table S4). In PREDO, lower maternal education level was associated with lower child cognitive ability, when adjusting for child sex assigned at birth and age (online Supplementary Table S4).

Associations between maternal social support and child cognitive ability

Maternal social support showed relatively high continuity across assessment points (r = 0.61, p < 0.001 in ALSPAC; r = 0.41, p < 0.001 in PREDO). In both cohorts, higher maternal social support during pregnancy was associated with higher child cognitive ability (Table 2). One s.d. unit increase in maternal social support during pregnancy was associated with a 0.79–1.58 child IQ point increase in ALSPAC and 1.50–1.75 IQ point increase in PREDO, when adjusting for sociodemographic and perinatal covariates in Models 1–2. Higher maternal social support after pregnancy was associated with higher child cognitive ability in ALSPAC, independently of covariates in Models 1–2, while there was no such association in PREDO (Table 2). In ALSPAC, one s.d. unit increase in maternal social support after pregnancy was associated with a 0.65–1.25 IQ point increase across these adjusted models.

Table 2. The associations of maternal social support during and after pregnancy with the child's general cognitive ability (IQ) in the ALSPAC cohort and in the PREDO cohort

Statistically significant associations (p < 0.05) are bolded. CI, confidence interval; IQ, intelligence quotient; WISC-III/IV, Wechsler Intelligence Scale for Children, 3rd/4th edition.

B represents change in IQ points following one standard deviation (s.d.) increase in social support. β represents the change in child IQ in standard deviation units following one standard deviation increase in social support

a Reported at median gestational week 24 in ALSPAC, and at gestational weeks 12–14 in PREDO.

b Reported at child age 8 months in ALSPAC, and at child age 8 years in PREDO.

Maternal social support and concurrent maternal distress

Higher maternal social support during and after pregnancy was associated with lower concurrent depressive and anxiety symptoms (online Supplementary Table S5). However, maternal social support during pregnancy was positively associated with child cognitive ability independently of maternal concurrent depressive and anxiety symptoms during pregnancy in both ALSPAC and PREDO (Model 3 in Table 2). In ALSPAC, the positive association between maternal social support after pregnancy with child cognitive ability was also independent of maternal concurrent depressive and anxiety symptoms (Model 3 in Table 2). Maternal social support during or after pregnancy did not moderate the effects of maternal concurrent depressive or anxiety symptoms on child cognitive ability (Table 3).

Table 3. Interactions between maternal social support during and after pregnancy and maternal co-occurring depressive and anxiety symptoms when predicting child cognitive ability (IQ)

CI, confidence interval; IQ, intelligence quotient; WISC-III/IV, Wechsler Intelligence Scale for Children, 3rd/4th edition.

a Maternal perceived social support and maternal depressive and anxiety symptoms during pregnancy are assessed at median gestational weeks 18–24 in the ALSPAC cohort, and at gestational weeks 12–14 in the PREDO cohort.

b Maternal perceived social support and maternal depressive and anxiety symptoms after pregnancy are assessed at child age 8 months in the ALSPAC cohort, and at child age 8 years in the PREDO cohort.

Timing effects of maternal social support on child cognitive ability

In ALSPAC, BRLM analyses showed that higher maternal social support, assessed during pregnancy and at 8 months after pregnancy, had a lifetime effect (δ) of 1.87 IQ points on child cognitive ability (95% CrI 1.39–2.37). Maternal social support during pregnancy (w 1) contributed to 69.8% and maternal social support after pregnancy (w 2) contributed to 30.2% of the lifetime effect of maternal social support on child cognitive ability (Fig. 1). There was a 92.0% posterior probability that pregnancy was a sensitive period for the effects of maternal social support on child cognitive ability. Pregnancy as a sensitive period provided the best model fit of all life course models tested (online Supplementary Table S6). In PREDO, the BRLM analyses showed no lifetime effect of maternal social support, assessed during pregnancy and at child age 8.5 years, on child cognitive ability (δ = 0.50 IQ points, 95% CrI −0.88 to 1.88). Therefore, we did not estimate weights for maternal social support during or after pregnancy in PREDO.

Figure 1. Posterior densities of weights of maternal social support during pregnancy and at child age 8 months in predicting child general cognitive ability (IQ) at 8 years of age in the ALSPAC cohort (n = 5498). Posterior densities are presented as percentages (range 0–100%); the area in gray presents 95% credible interval (CrI) for the mean posterior density.

Sensitivity analyses

Online Supplementary Table S7 shows that the associations of maternal social support during and after pregnancy with child cognitive ability remained similar in both cohorts when excluding children with an IQ score below 70.

Discussion

In this cross-cohort analysis of two prospective pregnancy cohort studies, ALSPAC and PREDO, higher maternal social support during pregnancy was associated with higher general cognitive ability among 8-year-old children in both cohorts. These associations were independent of maternal education level, parity, substance use during pregnancy, child birth weight and gestational age, and, importantly, of maternal concurrent depressive and anxiety symptoms. In ALSPAC, an additional independent positive effect of higher maternal social support after pregnancy with higher cognitive ability in children was also detected. Finally, our BRLM analyses suggested that pregnancy was a sensitive period: maternal social support in pregnancy appeared to carry most benefit for child cognitive ability.

Our findings in the ALSPAC and PREDO cohorts contrast with an earlier study which reported an association of maternal social support network after, but not during pregnancy, with child cognitive ability (Lewinn et al., Reference Lewinn, Bush, Batra, Tylavsky and Rehkopf2020). The different pattern of results may reflect the use of a social network size as a measure of support, the smaller sample size, or the different analytic approach in the earlier study. On the other hand, the lack of association between social support after pregnancy and child cognitive ability in PREDO in this study was not likely just a matter of a smaller sample size, as the effect size was also much smaller than in ALSPAC. It is possible that differences between ALSPAC and PREDO in social and family context might explain these differences. In addition, maternal social support after pregnancy was reported at different child ages across the two cohorts, at 8 months in ALSPAC and 8 years in PREDO, which may also explain the discrepant findings. Neurodevelopmental processes (e.g. synaptogenesis, synaptic pruning, and white matter development) are especially dynamic during pregnancy and the first 2–3 years of life (Cusick & Georgieff, Reference Cusick and Georgieff2016), and hence maternal social support during this period may have a larger effect on cognitive development than later in childhood. Our finding that maternal social support during pregnancy was consistently associated with child cognitive ability in both PREDO and ALSPAC emphasizes the importance of social support during this period.

Higher maternal social support during and after pregnancy was associated with lower concurrent depressive and anxiety symptoms in both ALSPAC and PREDO, consistent with earlier evidence (Bedaso, Adams, Peng, & Sibbritt, Reference Bedaso, Adams, Peng and Sibbritt2021; Racine, Plamondon, Hentges, Tough, & Madigan, Reference Racine, Plamondon, Hentges, Tough and Madigan2019). However, we found that, in both cohorts, maternal social support during pregnancy showed beneficial effects on child cognitive ability even when adjusting for maternal concurrent depressive and anxiety symptoms. This suggests that the associations between maternal social support and child cognitive ability are not fully explained by reduced maternal distress, and that there are other mechanisms linking maternal social support to child cognitive development.

Our finding that pregnancy is a sensitive period for the effects of maternal social support on child cognitive ability supports the DOHaD hypothesis (Barker, Reference Barker2007; O'Donnell & Meaney, Reference O'Donnell and Meaney2017), suggesting a long term impact of the prenatal environment on neurodevelopment. Many diverse prenatal mechanisms – including health behaviors, hypothalamic-pituitary-adrenal axis activity, immune activation, autonomic nervous system and others – have been suggested as potential mediators of the link between prenatal maternal psychological distress and child health (Monk, Lugo-Candelas, & Trumpff, Reference Monk, Lugo-Candelas and Trumpff2019; Van den Bergh et al., Reference Van den Bergh, van den Heuvel, Lahti, Braeken, de Rooij, Entringer and Schwab2020). Our findings showing a distinct effect of maternal social support during pregnancy underscore the need for mechanism-oriented studies to consider not just adversity but also protective factors in understanding prenatal origins of child development. For example, higher social support during pregnancy has been associated with lower inflammation levels in pregnant women (Coussons-Read, Okun, & Nettles, Reference Coussons-Read, Okun and Nettles2007; Ross et al., Reference Ross, Miller, Qadir, Keenan-Devlin, Leigh and Borders2017). As maternal infections/inflammation during pregnancy are associated with lower cognitive ability among children (Nazzari et al., Reference Nazzari, Fearon, Rice, Ciceri, Molteni and Frigerio2020; O'Connor et al., Reference O'Connor, Ciesla, Sefair, Thornburg, Brown, Glover and O'Donnell2022), the buffering effects of social support on maternal infections/inflammation levels is a potential pathway linking social support during pregnancy to child cognitive ability. Higher perceived social support during pregnancy may also enhance the development of adaptive maternal behaviors and attachment to the child that begins in the prenatal period (Le Bas et al., Reference Le Bas, Youssef, Macdonald, Rossen, Teague, Kothe and Hutchinson2020). Satisfaction with social support has been associated with the quality of mother-child attachment (Hopkins et al., Reference Hopkins, Miller, Butler, Gibson, Hedrick and Boyle2018); attachment and mother-child-interactions, in turn, are associated with cognitive development in children (de Mendonça Filho et al., Reference de Mendonça Filho, Frechette, Pokhvisneva, Arcego, Barth, Tejada and Silveira2022; Ronfani et al., Reference Ronfani, Vecchi Brumatti, Mariuz, Tognin, Bin, Ferluga and Barbone2015) and may modify the impact of adverse prenatal exposures (Bergman, Sarkar, Glover, & O'Connor, Reference Bergman, Sarkar, Glover and O'Connor2010). Mothers with higher social support in the perinatal period may also be more likely to breastfeed their children (Mercan & Selcuk, Reference Mercan and Selcuk2021), and breastfeeding has consistent beneficial effects on child cognitive development (Amiel Castro, Glover, Ehlert, & O'Connor, Reference Amiel Castro, Glover, Ehlert and O'Connor2021; Horta, Loret de Mola, & Victora, Reference Horta, Loret de Mola and Victora2015). After pregnancy, higher maternal social support may enrich the social environment of the child, providing more stimuli to support cognitive development (Tooley, Bassett, & Mackey, Reference Tooley, Bassett and Mackey2021). In contrast, in late childhood the child's social environment may be less dependent on maternal social networks; this may explain why maternal social support at child age 8 years was not associated with child cognitive ability in PREDO.

The association between maternal social support during pregnancy and child cognitive ability was consistent and independent of several covariates across cohorts, but the effect sizes were small. In the ALSPAC cohort, the association was similar in magnitude to the associations observed between maternal prenatal depressive or anxiety symptoms and child cognitive ability. Small effects at the population level might nonetheless translate into clinically meaningful findings where interventions may improve social support for those experiencing marked isolation and exclusion.

There may be benefits of screening for maternal social support during pregnancy. Although social support per se is not a common specific target in prenatal interventions (by contrast, many intervention options exist for anxiety and depression [Matvienko-Sikar et al., Reference Matvienko-Sikar, Flannery, Redsell, Hayes, Kearney and Huizink2021; van Ravesteyn, Van Den Berg, Hoogendijk, & Kamperman, Reference van Ravesteyn, Van Den Berg, Hoogendijk and Kamperman2017]), it may be that certain, particularly group-based, interventions may promote social support as one pathway for promoting child cognitive development. Further research of this kind is needed given that cognitive ability in childhood and adolescence is positively associated with long-term educational, occupational and health outcomes such as higher educational attainment (Blair, Reference Blair2016) and better physical and mental health (Wraw et al., Reference Wraw, Deary, Der and Gale2016, Reference Wraw, Deary, Gale and Der2015) later in life.

Strengths and limitations

A key strength of our study is utilizing two independent, longitudinal cohorts from two countries. We were able to replicate our key findings on the association between maternal perceived social support during pregnancy and child cognitive ability across both cohorts. Importantly, both cohorts provided objective, independent evaluations using a leading, well-validated measure of children's general cognitive ability (Wechsler, Reference Wechsler2010; Wechsler et al., Reference Wechsler, Golombok and Rust1992). This precludes the shared method bias of studies using mother-reported outcomes in children. Additionally, child assessments were conducted at the same age in both cohorts, further facilitating cross-cohort comparisons.

Our study also has its limitations. First, we observed selective attrition with mother-child-dyads who continued to participate reporting higher levels of maternal education across both cohorts; this may limit the generalizability of our findings. Second, the number of available participants differed between our cohorts, which may have limited our power to detect a lifetime effect of social support in the smaller PREDO cohort. Third, we were unable to account for maternal IQ in our analyses, which is a strong predictor of child cognitive ability and may confound the association between maternal prenatal depressive symptoms and child cognitive development (Faleschini, Rifas-Shiman, Tiemeier, Oken, & Hivert, Reference Faleschini, Rifas-Shiman, Tiemeier, Oken and Hivert2019); we relied instead on educational attainment as a proxy for the familial and socioenvironmental factors influencing child cognitive development. Nevertheless, earlier studies found associations between maternal social support after pregnancy and child cognitive ability that were independent of maternal IQ (Lewinn et al., Reference Lewinn, Bush, Batra, Tylavsky and Rehkopf2020). Fourth, our assessment of family socioeconomic status was limited to maternal educational attainment in both cohorts, with household crowding additionally considered in ALSPAC only. While maternal education is among the strongest socioeconomic predictors of cognitive ability in children (Eilertsen et al., Reference Eilertsen, Thorsen, Holm, Bøe, Sørensen and Lundervold2016; Lewinn et al., Reference Lewinn, Bush, Batra, Tylavsky and Rehkopf2020), future studies would benefit from more comprehensive evaluation of family socioeconomic status and indicators of social mobility. Fifth, data on paternal perceived social support and IQ were unavailable, and we could thus not take these into account. Future studies would benefit from including the entire parent-child-triad. Sixth, we cannot exclude potential gene-environment correlation as a source of confounding, since maternal polygenic risk scores for psychiatric disorders are associated with poorer maternal mental health also during pregnancy (Havdahl et al., Reference Havdahl, Wootton, Leppert, Riglin, Ask, Tesli and Stergiakouli2022; Rantalainen et al., Reference Rantalainen, Binder, Lahti-Pulkkinen, Czamara, Laivuori, Villa and Räikkönen2020). Future studies would benefit from more genetically informed designs, including sibling comparisons and the use of polygenic risk scores. Finally, as the mother-child dyads of the ALSPAC cohort were recruited in the beginning of 1990's, there may be some cultural and contextual factors in social support that have changed in the past 30 years, although we note that findings were replicated in PREDO which commenced recruitment in 2006, suggesting that the findings are not dependent on the cultural context.

Conclusions

This cross-cohort comparison of two longitudinal pregnancy cohort studies provides evidence that maternal perceived social support has beneficial effects on child's general cognitive ability, and that pregnancy may be a sensitive period for these effects. Our findings highlight the importance of promoting social support among pregnant women.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0033291723003550

Acknowledgements

We are extremely grateful to all the families who took part in these cohort studies, the midwives for their help in recruiting them, and the whole ALSPAC and PREDO teams, which includes interviewers, computer and laboratory technicians, clerical workers, research scientists, volunteers, managers, receptionists, and nurses.

Funding statement

The UK Medical Research Council and Wellcome (Grant ref: 217065/Z/19/Z) and the University of Bristol provide core support for ALSPAC. This publication is the work of the authors who will serve as guarantors for the contents of this paper. Dr O'Donnell is a CIFAR Fellow (Child and Brain Development Program) and the Pfeil Investigator (Brain and Behavior Research Foundation). Dr O'Donnell has received research support from the Canada First Research Excellence Fund (Healthy Brains for Healthy Lives), the Jacobs Foundation, and the Chamandy Foundation to support this work. Dr Lahti-Pulkkinen has received research support from the Academy of Finland. Prof. O'Connor would like to acknowledge support from the Wynne Center for Family Research and NIH grants R01 UH3 OD023349, R01 MH073842). Ms. Lähdepuro has received research support from University of Helsinki Funds, Doctoral School of Psychology, Learning and Communication. Dr Räikkönen has received research support from the Academy of Finland, from the European Union's Horizon Europe research and innovation program under grant agreement No 101057390 (HappyMums), and from the HiLIFE Helsinki Institute of Life Science Fellows program 2023–2025. Dr Lahti has received research support from the Strategic Research Council (SRC) established within the Academy of Finland (decision number: 352700).

Competing interests

None.

Footnotes

*

These authors had equal contribution and were the shared last authors.

References

Amiel Castro, R., Glover, V., Ehlert, U., & O'Connor, T. G. (2021). Breastfeeding, prenatal depression and children's IQ and behaviour: A test of a moderation model. BMC Pregnancy and Childbirth, 21, 62. https://doi.org/10.1186/s12884-020-03520-8CrossRefGoogle ScholarPubMed
Barker, D. J. P. (2007). The origins of the developmental origins theory. Journal of Internal Medicine, 261, 412417. https://doi.org/10.1111/j.1365-2796.2007.01809.xCrossRefGoogle ScholarPubMed
Bedaso, A., Adams, J., Peng, W., & Sibbritt, D. (2021). The relationship between social support and mental health problems during pregnancy: A systematic review and meta-analysis. Reproductive Health, 18, 162. https://doi.org/10.1186/s12978-021-01209-5CrossRefGoogle ScholarPubMed
Bergman, K., Sarkar, P., Glover, V., & O'Connor, T. G. (2010). Maternal prenatal cortisol and infant cognitive development: Moderation by infant-mother attachment. Biological Psychiatry, 67, 10261032. https://doi.org/10.1016/j.biopsych.2010.01.002CrossRefGoogle ScholarPubMed
Birtchnell, J., Evans, C., & Kennard, J. (1988). The total score of the crown-crisp experiential index: A useful and valid measure of psychoneurotic pathology. British Journal of Medical Psychology, 61, 255266. https://doi.org/10.1111/j.2044-8341.1988.tb02787.xCrossRefGoogle ScholarPubMed
Blair, C. (2016). Executive function and early childhood education. Current Opinion in Behavioral Sciences, 10, 102107. https://doi.org/10.1016/j.cobeha.2016.05.009CrossRefGoogle ScholarPubMed
Boyd, A., Golding, J., Macleod, J., Lawlor, D. A., Fraser, A., Henderson, J., … Smith, G. D. (2013). Cohort profile: The ‘Children of the 90s’-The index offspring of the Avon longitudinal study of parents and children. International Journal of Epidemiology, 42, 111127. https://doi.org/10.1093/ije/dys064CrossRefGoogle Scholar
Coussons-Read, M. E., Okun, M. L., & Nettles, C. D. (2007). Psychosocial stress increases inflammatory markers and alters cytokine production across pregnancy. Brain, Behavior, and Immunity, 21, 343350. https://doi.org/10.1016/j.bbi.2006.08.006CrossRefGoogle ScholarPubMed
Cox, J. L., Holden, J. M., & Sagovsky, R. (1987). Detection of postnatal depression: Development of the 10-item Edinburgh postnatal depression scale. British Journal of Psychiatry, 150, 782786. https://doi.org/10.1192/bjp.150.6.782CrossRefGoogle ScholarPubMed
Crawford, J. R., Anderson, V., Rankin, P. M., & MacDonald, J. (2010). An index-based short-form of the WISC-IV with accompanying analysis of the reliability and abnormality of differences. British Journal of Clinical Psychology, 49, 235258. https://doi.org/10.1348/014466509X455470CrossRefGoogle ScholarPubMed
Cusick, S. E., & Georgieff, M. K. (2016). The role of nutrition in brain development: The golden opportunity of the “first 1000 days”. Journal of Pediatrics, 175, 1621. https://doi.org/10.1016/j.jpeds.2016.05.013CrossRefGoogle ScholarPubMed
de Mendonça Filho, E. J., Frechette, A., Pokhvisneva, I., Arcego, D. M., Barth, B., Tejada, C. A. V., … Silveira, P. P. (2022). Examining attachment, cortisol secretion, and cognitive neurodevelopment in preschoolers and its predictive value for telomere length at age seven. Frontiers in Behavioral Neuroscience, 16, 954977. https://doi.org/10.3389/fnbeh.2022.954977CrossRefGoogle ScholarPubMed
Eilertsen, T., Thorsen, A. L., Holm, S. E. H., Bøe, T., Sørensen, L., & Lundervold, A. J. (2016). Parental socioeconomic status and child intellectual functioning in a Norwegian sample. Scandinavian Journal of Psychology, 57, 399405. https://doi.org/10.1111/sjop.12324CrossRefGoogle Scholar
Evans, J., Melotti, R., Heron, J., Ramchandani, P., Wiles, N., Murray, L., & Stein, A. (2012). The timing of maternal depressive symptoms and child cognitive development: A longitudinal study. Journal of Child Psychology and Psychiatry, 53, 632640. https://doi.org/10.1111/j.1469-7610.2011.02513.xCrossRefGoogle ScholarPubMed
Faleschini, S., Rifas-Shiman, S. L., Tiemeier, H., Oken, E., & Hivert, M. F. (2019). Associations of prenatal and postnatal maternal depressive symptoms with offspring cognition and behavior in mid-childhood: A prospective cohort study. International Journal of Environmental Research and Public Health, 16, 954977. https://doi.org/10.3390/ijerph16061007CrossRefGoogle ScholarPubMed
Fraser, A., Macdonald-Wallis, C., Tilling, K., Boyd, A., Golding, J., Davey Smith, G., … Lawlor, D. A. (2013). Cohort profile: The avon longitudinal study of parents and children: ALSPAC mothers cohort. International Journal of Epidemiology, 42, 97110. https://doi.org/10.1093/ije/dys066CrossRefGoogle ScholarPubMed
Friedman, L. E., Manriquez Prado, A. K., Santos Malavé, G. F., Vélez, J. C., Gillibrand Esquinazi, R. W., Sanchez, S., … Williams, M. A. (2018). Construct validity and factor structure of a Spanish-language social support questionnaire during early pregnancy. International Journal of Women's Health, 10, 379385. https://doi.org/10.2147/IJWH.S160619CrossRefGoogle ScholarPubMed
Girchenko, P., Lahti, M., Tuovinen, S., Savolainen, K., Lahti, J., Binder, E. B., … Räikkönen, K. (2017). Cohort profile: Prediction and prevention of preeclampsia and intrauterine growth restriction (PREDO) study. International Journal of Epidemiology, 46, 13801381. https://doi.org/10.1093/ije/dyw154Google ScholarPubMed
Girchenko, P., Tuovinen, S., Lahti-Pulkkinen, M., Lahti, J., Savolainen, K., Heinonen, K., … Räikkönen, K. (2018). Maternal early pregnancy obesity and related pregnancy and pre-pregnancy disorders: Associations with child developmental milestones in the prospective PREDO study. International Journal of Obesity, 42, 9951007. https://doi.org/10.1038/s41366-018-0061-xCrossRefGoogle ScholarPubMed
Gissler, M., Louhiala, P., & Hemminki, E. (1997). Nordic Medical Birth Registers in epidemiological research. European Journal of Epidemiology, 13, 169175. https://doi.org/10.1023/a:1007379029182CrossRefGoogle ScholarPubMed
Glover, V., O'Connor, T. G., & O'Donnell, K. J. (2023). Fetal programming and public policy. Journal of the American Academy of Child and Adolescent Psychiatry, 62, 618620. https://doi.org/10.1016/j.jaac.2022.11.010CrossRefGoogle ScholarPubMed
Gunning, M. D., Denison, F. C., Stockley, C. J., Ho, S. P., Sandhu, H. K., & Reynolds, R. M. (2010). Assessing maternal anxiety in pregnancy with the State-Trait Anxiety Inventory (STAI): Issues of validity, location and participation. Journal of Reproductive and Infant Psychology, 28, 266273. https://doi.org/10.1080/02646830903487300CrossRefGoogle Scholar
Havdahl, A., Wootton, R. E., Leppert, B., Riglin, L., Ask, H., Tesli, M., … Stergiakouli, E. (2022). Associations between pregnancy-related predisposing factors for offspring neurodevelopmental conditions and parental genetic liability to attention-deficit/hyperactivity disorder, autism, and schizophrenia: The Norwegian mother, father and child cohort study (MoBa). JAMA Psychiatry, 79, 799810. https://doi.org/10.1001/jamapsychiatry.2022.1728CrossRefGoogle ScholarPubMed
Hopkins, J., Miller, J. L., Butler, K., Gibson, L., Hedrick, L., & Boyle, D. A. (2018). The relation between social support, anxiety and distress symptoms and maternal fetal attachment. Journal of Reproductive and Infant Psychology, 36, 381392. https://doi.org/10.1080/02646838.2018.1466385CrossRefGoogle ScholarPubMed
Horta, B. L., Loret de Mola, C., & Victora, C. G. (2015). Breastfeeding and intelligence: A systematic review and meta-analysis. Acta Paediatrica, 104, 1419. https://doi.org/10.1111/apa.13139CrossRefGoogle ScholarPubMed
IBM Corp. (2020). IBM SPSS Statistics for Windows, Version 29.0.Google Scholar
Lähdepuro, A., Lahti-Pulkkinen, M., Pyhälä, R., Tuovinen, S., Lahti, J., Heinonen, K., … Räikkönen, K. (2023). Positive maternal mental health during pregnancy and mental and behavioral disorders in children: A prospective pregnancy cohort study. Journal of Child Psychology and Psychiatry, 64(5), 807816. https://doi.org/10.1111/jcpp.13625CrossRefGoogle ScholarPubMed
Le Bas, G. A., Youssef, G. J., Macdonald, J. A., Rossen, L., Teague, S. J., Kothe, E. J., … Hutchinson, D. M. (2020). The role of antenatal and postnatal maternal bonding in infant development: A systematic review and meta-analysis. Social Development, 29, 320. https://doi.org/10.1111/sode.12392CrossRefGoogle Scholar
Lewinn, K. Z., Bush, N. R., Batra, A., Tylavsky, F., & Rehkopf, D. (2020). Identification of modifiable social and behavioral factors associated with childhood cognitive performance. JAMA Pediatrics, 174, 10631072. https://doi.org/10.1001/jamapediatrics.2020.2904CrossRefGoogle ScholarPubMed
Madathil, S., Joseph, L., Hardy, R., Rousseau, M.-C., & Nicolau, B. (2018). A Bayesian approach to investigate life course hypotheses involving continuous exposures. International Journal of Epidemiology, 47, 16231635. https://doi.org/10.1093/ije/dyy107CrossRefGoogle ScholarPubMed
Manzari, N., Matvienko-Sikar, K., Baldoni, F., O'Keeffe, G. W., & Khashan, A. S. (2019). Prenatal maternal stress and risk of neurodevelopmental disorders in the offspring: A systematic review and meta-analysis. Social Psychiatry and Psychiatric Epidemiology, 54, 12991309. https://doi.org/10.1007/s00127-019-01745-3CrossRefGoogle ScholarPubMed
Matvienko-Sikar, K., Flannery, C., Redsell, S., Hayes, C., Kearney, P. M., & Huizink, A. (2021). Effects of interventions for women and their partners to reduce or prevent stress and anxiety: A systematic review. Women and Birth, 34, e97e117. https://doi.org/10.1016/j.wombi.2020.02.010CrossRefGoogle ScholarPubMed
Mercan, Y., & Selcuk, K. T. (2021). Association between postpartum depression level, social support level and breastfeeding attitude and breastfeeding self-efficacy in early postpartum women. PLoS One, 16, e0249538. https://doi.org/10.1371/journal.pone.0249538CrossRefGoogle ScholarPubMed
Monk, C., Lugo-Candelas, C., & Trumpff, C. (2019). Prenatal developmental origins of future psychopathology: Mechanisms and pathways. Annual Review of Clinical Psychology, 15, 317344. https://doi.org/10.1146/annurev-clinpsy-050718-095539CrossRefGoogle ScholarPubMed
Nazzari, S., Fearon, P., Rice, F., Ciceri, F., Molteni, M., & Frigerio, A. (2020). Neuroendocrine and immune markers of maternal stress during presgnancy and infant cognitive development. Developmental Psychobiology, 62, 11001110. https://doi.org/10.1002/dev.21967CrossRefGoogle ScholarPubMed
O'Connor, T. G., Ciesla, A. A., Sefair, A. V., Thornburg, L. L., Brown, A. S., Glover, V., & O'Donnell, K. J. (2022). Maternal prenatal infection and anxiety predict neurodevelopmental outcomes in middle childhood. Journal of Psychopathology and Clinical Science, 131, 422434. https://doi.org/10.1037/abn0000746CrossRefGoogle ScholarPubMed
O'Donnell, K. J., & Meaney, M. J. (2017). Fetal origins of mental health: The developmental origins of health and disease hypothesis. American Journal of Psychiatry, 174, 319328. https://doi.org/10.1176/appi.ajp.2016.16020138CrossRefGoogle ScholarPubMed
Park, S. H., & Kim, J. I. (2023). Predictive validity of the Edinburgh postnatal depression scale and other tools for screening depression in pregnant and postpartum women: A systematic review and meta-analysis. Archives of Gynecology and Obstetrics, 307, 13311345. https://doi.org/10.1007/s00404-022-06525-0CrossRefGoogle ScholarPubMed
Parkes, A., & Sweeting, H. (2018). Direct, indirect, and buffering effects of support for mothers on children's socioemotional adjustment. Journal of Family Psychology, 32, 894903. https://doi.org/10.1037/fam0000438CrossRefGoogle ScholarPubMed
Pearson, R. M., Bornstein, M. H., Cordero, M., Scerif, G., Mahedy, L., Evans, J., … Stein, A. (2016). Maternal perinatal mental health and offspring academic achievement at age 16: The mediating role of childhood executive function. Journal of Child Psychology and Psychiatry and Allied Disciplines, 57, 491501. https://doi.org/10.1111/jcpp.12483CrossRefGoogle ScholarPubMed
Power, J., van IJzendoorn, M., Lewis, A. J., Chen, W., & Galbally, M. (2021). Maternal perinatal depression and child executive function: A systematic review and meta-analysis. Journal of Affective Disorders, 291, 218234. https://doi.org/10.1016/j.jad.2021.05.003CrossRefGoogle ScholarPubMed
Racine, N., Plamondon, A., Hentges, R., Tough, S., & Madigan, S. (2019). Dynamic and bidirectional associations between maternal stress, anxiety, and social support: The critical role of partner and family support. Journal of Affective Disorders, 252, 1924. https://doi.org/10.1016/j.jad.2019.03.083CrossRefGoogle ScholarPubMed
Radloff, L. S. (1977). The CES-D scale. Applied Psychological Measurement, 1, 385401. https://doi.org/10.1177/014662167700100306CrossRefGoogle Scholar
Rantalainen, V., Binder, E. B., Lahti-Pulkkinen, M., Czamara, D., Laivuori, H., Villa, P. M., … Räikkönen, K. (2020). Polygenic prediction of the risk of perinatal depressive symptoms. Depression and Anxiety, 37, 862875. https://doi.org/10.1002/da.23066CrossRefGoogle ScholarPubMed
Rascle, N., Bruchon-Schweitzer, M., & Sarason, I. G. (2005). Short form of Sarason's social support questionnaire: French adaptation and validation. Psychological Reports, 97, 195202. https://doi.org/10.2466/pr0.97.1.195-202CrossRefGoogle ScholarPubMed
R Core Team. (2022). R: A language and environment for statistical computing. Retrieved from R Foundation for Statistical Computing, Vienna, Austria website https://www.r-project.org/Google Scholar
Rogers, A., Obst, S., Teague, S. J., Rossen, L., Spry, E. A., MacDonald, J. A., … Hutchinson, D. (2020). Association between maternal perinatal depression and anxiety and child and adolescent development: A meta-analysis. JAMA Pediatrics, 174, 10821092. https://doi.org/10.1001/jamapediatrics.2020.2910CrossRefGoogle ScholarPubMed
Ronfani, L., Vecchi Brumatti, L., Mariuz, M., Tognin, V., Bin, M., Ferluga, V., … Barbone, F. (2015). The complex interaction between home environment, socioeconomic status, maternal IQ and early child neurocognitive development: A multivariate analysis of data collected in a newborn cohort study. PLoS One, 10, e0127052. https://doi.org/10.1371/journal.pone.0127052CrossRefGoogle Scholar
Ross, K. M., Miller, G., Qadir, S., Keenan-Devlin, L., Leigh, A. K. K., & Borders, A. (2017). Close relationship qualities and maternal peripheral inflammation during pregnancy. Psychoneuroendocrinology, 77, 252260. https://doi.org/10.1016/j.psyneuen.2017.01.003CrossRefGoogle ScholarPubMed
Sarason, I. G., Sarason, B. R., Shearin, E. N., & Pierce, G. R. (1987). A brief measure of social support: Practical and theoretical implications. Journal of Social and Personal Relationships, 4, 497510. https://doi.org/10.1177/0265407587044007CrossRefGoogle Scholar
Shin, E. K., Lewinn, K., Bush, N., Tylavsky, F. A., Davis, R. L., & Shaban-Nejad, A. (2019). Association of maternal social relationships with cognitive development in early childhood. JAMA Network Open, 2, 186963. https://doi.org/10.1001/jamanetworkopen.2018.6963CrossRefGoogle ScholarPubMed
Spielberger (1983). Manual for the state-trait anxiety inventory. Palo Alto: Consulting Psychological Press.Google Scholar
Stan Development Team. (2020). RStan: the R interface to Stan. R package version 2.21.2. Retrieved from http://mc-stan.org/.Google Scholar
Sund, R. (2012). Quality of the Finnish hospital discharge register: A systematic review. Scandinavian Journal of Public Health, 40, 505515. https://doi.org/10.1177/1403494812456637CrossRefGoogle ScholarPubMed
Tarabulsy, G. M., Pearson, J., Vaillancourt-Morel, M.-P., Bussières, E.-L., Madigan, S., Lemelin, J.-P., … Royer, F. (2014). Meta-analytic findings of the relation between maternal prenatal stress and anxiety and child cognitive outcome. Journal of Developmental & Behavioral Pediatrics, 35, 3843. https://doi.org/10.1097/DBP.0000000000000003CrossRefGoogle ScholarPubMed
Thomson, R. M., Allely, C. S., Purves, D., Puckering, C., McConnachie, A., Johnson, P. C. D., … Wilson, P. (2014). Predictors of positive and negative parenting behaviours: Evidence from the ALSPAC cohort. BMC Pediatrics, 14, 110. https://doi.org/10.1186/1471-2431-14-247CrossRefGoogle ScholarPubMed
Tooley, U. A., Bassett, D. S., & Mackey, A. P. (2021). Environmental influences on the pace of brain development. Nature Reviews Neuroscience, 22, 372384. https://doi.org/10.1038/s41583-021-00457-5CrossRefGoogle ScholarPubMed
Tracy, M., Salo, M., & Appleton, A. A. (2018). The mitigating effects of maternal social support and paternal involvement on the intergenerational transmission of violence. Child Abuse and Neglect, 78, 4659. https://doi.org/10.1016/j.chiabu.2017.09.023CrossRefGoogle ScholarPubMed
Van den Bergh, B. R. H., van den Heuvel, M. I., Lahti, M., Braeken, M., de Rooij, S. R., Entringer, S., … Schwab, M. (2020). Prenatal developmental origins of behavior and mental health: The influence of maternal stress in pregnancy. Neuroscience and Biobehavioral Reviews, 117, 2664. https://doi.org/10.1016/j.neubiorev.2017.07.003CrossRefGoogle ScholarPubMed
van Ravesteyn, L. M. V., Van Den Berg, M. P. L., Hoogendijk, W. J. G., & Kamperman, A. M. (2017). Interventions to treat mental disorders during pregnancy: A systematic review and multiple treatment meta-analysis. PLoS One, 12, e0173397. https://doi.org/10.1371/journal.pone.0173397CrossRefGoogle ScholarPubMed
Vilagut, G., Forero, C. G., Barbaglia, G., & Alonso, J. (2016). Screening for depression in the general population with the center for epidemiologic studies depression (CES-D): A systematic review with meta-analysis. PLoS ONE, 11, e0155431. https://doi.org/10.1371/journal.pone.0155431CrossRefGoogle Scholar
Wechsler, D. (2010). WISC-IV –Wechsler intelligence scale for children - IV. Helsinki: Psykologien Kustannus Oy.Google Scholar
Wechsler, D., Golombok, S., & Rust, J. (1992). WISC-III UK Wechsler intelligence scale for children: UK manual. Sidcup, UK: The Psychological Corporation.Google Scholar
Wraw, C., Deary, I. J., Der, G., & Gale, C. R. (2016). Intelligence in youth and mental health at age 50. Intelligence, 58, 6979. https://doi.org/10.1016/j.intell.2016.06.005CrossRefGoogle ScholarPubMed
Wraw, C., Deary, I. J., Gale, C. R., & Der, G. (2015). Intelligence in youth and health at age 50. Intelligence, 53, 2332. https://doi.org/10.1016/j.intell.2015.08.001CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Characteristics of the analytic samples of the ALSPAC cohort (N = 5784) and the PREDO cohort (N = 420)

Figure 1

Table 2. The associations of maternal social support during and after pregnancy with the child's general cognitive ability (IQ) in the ALSPAC cohort and in the PREDO cohort

Figure 2

Table 3. Interactions between maternal social support during and after pregnancy and maternal co-occurring depressive and anxiety symptoms when predicting child cognitive ability (IQ)

Figure 3

Figure 1. Posterior densities of weights of maternal social support during pregnancy and at child age 8 months in predicting child general cognitive ability (IQ) at 8 years of age in the ALSPAC cohort (n = 5498). Posterior densities are presented as percentages (range 0–100%); the area in gray presents 95% credible interval (CrI) for the mean posterior density.

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