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. 2024 May 31;27(6):1033–1041. doi: 10.1007/s00737-024-01473-x

Maternal perinatal social support and infant social-emotional problems and competencies: a longitudinal cross-cohort replication study

Melanie Schuijers 1, Christopher J Greenwood 1, Jennifer E McIntosh 1,2,3,4, George Youssef 1, Primrose Letcher 1,3,4, Jacqui A Macdonald 1,3,4, Elizabeth Spry 1,3, Genevieve Le Bas 1, Samantha Teague 1,5, Ebony Biden 1,3, Elizabeth Elliott 6,7, Steve Allsop 8, Lucinda Burns 9, Craig A Olsson 1,3,4, Delyse M Hutchinson 1,3,4,9,✉
PMCID: PMC11579112  PMID: 38819645

Abstract

Purpose

Maternal perinatal social support is theorised to promote offspring social-emotional development, yet few studies have prospectively examined this relationship. Findings may inform preventative intervention efforts, to support a healthy start to emotional life.

Methods

This study examined whether maternal social support perinatally predicts infant social-emotional development at 12 months of age in two longitudinal cohort studies: The Australian Temperament Project (ATP) (n = 1,052 mother-infant dyads [653 mothers, M age_at_birth = 32.03, 88% Australian-born; 1,052 infants, 52% girls]) and The Triple B Pregnancy Cohort Study (Triple B) (n = 1,537 dyads [1,498 mothers, M age_at_birth = 32.53, 56% Australian-born; 1,537 infants, 49% girls]). Social support was assessed at pregnancy (third trimester) and eight-weeks post-birth. Infant social-emotional competencies (ATP: Brief Infant and Toddler Social and Emotional Assessment (BITSEA), Competencies Scale; Triple B: Bayley Scales of Infant and Toddler Development-Social Emotional Scale) and problems (ATP: BITSEA, Problems Scale; Triple B: Ages and Stages Questionnaires: Social-Emotional Scale), were assessed at 12-months of age.

Results

In ATP, social support was associated with lower offspring problems (pregnancy: β = -0.15; post-birth: β = -0.12) and greater competencies (pregnancy: β = 0.12; post-birth: β = 0.16) at 12 months. In Triple B, social support also predicted lower offspring problems (pregnancy: β = -0.11; post-birth: β = -0.07) and greater competencies (pregnancy: β = 0.07) at 12 months. Findings did not indicate an association between support at eight-weeks post-birth and subsequent competencies (β = 0.06).

Conclusions

Evidence suggests that perinatal social support promotes healthy infant social and emotional development. These results underscore the critical importance of social support for mothers transitioning into parenthood.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00737-024-01473-x.

Keywords: Pregnancy, postpartum, social-emotional development, infancy, longitudinal

The burden of mental disorders is significant, with a global prevalence rate of over 10% worldwide, and approximately 971 million people affected across all age groups (James et al. 2018). To reduce this burden, the World Health Organisation’s (WHO) Mental Health Action Plan 2013-2020 specified the implementation of strategies for prevention and promotion as major objectives. This has also been endorsed by the World Health Assembly in 2013 (World Health Organisation 2013). From a life course perspective, social-emotional problems during infancy can create and contribute to developmental vulnerabilities that increase risk for mental disorder across the life course (Bornstein 2014; Briggs-Gowan and Carter 2008). Conversely, social-emotional competencies established in infancy have been linked with mental wellness and protective pathways (Haapsamo et al. 2012). This makes investment in a healthy start to emotional life central to any long-term strategy for addressing the burden of mental disorder across the life course (Bolt et al. 2002).

Several risk and protective factors occurring during pregnancy and postpartum have been associated with offspring social-emotional development in infancy, yet high-quality evidence is lacking for many of them, particularly for contextual factors which remain under-researched (McIntosh et al. 2021). One potentially important contextual factor is maternal social support during the perinatal period. This refers to relational support, including practical and emotional assistance for a mother, during pregnancy and post-birth, with the perceived availability of support being particularly important (Leahy-Warren et al. 2018). Social support has been theorised to buffer stress during key transitional periods, such as the perinatal period (Leahy-Warren et al. 2018). During this period, heightened psychological distress is common among mothers, and has been linked to the transition from a familiar reality, to a novel and less certain one (Riecher-Rossler and Steiner 2005). A meta-analysis by O’Dea et al. (2023) of 133 studies indicated that 19% of mothers reported perinatal depression, and 13% reported anxiety (O’Dea et al. 2023). Importantly, psychological distress during the perinatal period has been associated with both mother-infant bonding problems, and poorer offspring social-emotional development (Le Bas et al. 2020, 2021, 2022; O’Dea et al. 2023; Rogers et al. 2020, 2023). Social support has been postulated to be an important modifiable factor that can buffer these risks (Taylor 2011), and could be strengthened through interventions within existing systems, such as hospital antenatal clinics, and during the postpartum period, via Maternal, Family, and Child Health services. Despite this potential, the intergenerational influence of perinatal social support remains under-researched.

Notably, few empirical studies have investigated the associations between maternal perinatal social support and infant social-emotional development specifically (McIntosh et al. 2021). There is also a paucity of longitudinal studies tracking distal outcomes of perinatal social support (i.e., beyond the early post-birth months), with inconsistent results among existing studies, and no replication studies published to date. The generalisability of findings has also been limited by small samples and a primary focus on high risk clinical and/or adolescent samples (Crnic et al. 1986; McDonald et al. 2016; Narvaez et al. 2013; Unger and Wandersman 1985).

The literature on social support has also typically been focussed on maternal outcomes or infant attachment status, with positive associations between social support and attachment security identified in a majority of studies (McIntosh et al. 2021). However, it is also important to study behavioural expressions of infant social-emotional development, including self-regulation, relations with others, and interactions with the environment, as they have been shown to predict psychological distress and mental health across the life course (Bornstein 2014). Furthermore, it is practical to assess early behavioural indicators and competencies both clinically and at the population level via parent-report measures (Pontoppidan et al. 2017).

The purpose of this exploratory study was to examine the associations between maternal social support in the third trimester of pregnancy and at eight-weeks post-birth and infant social-emotional development at 12-months of age. Specifically, the aims were threefold: 1) to study its association with infant competencies, 2) to study its association with infant problems, and 3) to replicate findings across two Australian longitudinal cohort studies during the perinatal period.

Materials and methods

Ethical considerations

Ethics approval was granted by relevant university, hospital and health services human research ethics committees.

Design and participants

To increase confidence in results and inferences made, a cross-cohort replication design was used to investigate the association of perinatal maternal social support with infant social-emotional development. Data was from the Australian Temperament Project, Generation 3 Study (ATP) and the Triple B Pregnancy Cohort Study (Triple B), which had similar exposures and outcomes measured prospectively at the same time points. To summarise, maternal social support in pregnancy was assessed in the third trimester of pregnancy (between week 27 to the end of pregnancy), and social support postpartum was assessed at eight-weeks post-birth. Infant social-emotional competencies and problems were assessed at 12-months of age.

The ATP is an ongoing prospective study of parents and infants born to a 15-wave population-based cohort established in 1983. Generations 1 and 2 (n = 2,443) were recruited through community maternal and child health centres in 20 urban and 47 rural local government areas in the state of Victoria, Australia, when infants were 4-8 months old (Vassallo and Sanson 2013). The local government areas were randomly selected, on the advice of the Australian Bureau of Statistics, to provide a representative sample of Victoria. Across 2012-2018, Generation 2 participants who became parents were invited to participate in the Generation 3 study (703 parents with 1,167 offspring) (Olsson et al. 2022). Participants were provided a standardised description of the study and written consent was obtained, before being invited to complete a computer-assisted telephone interview or web survey. The current study includes only Generation 2 (mothers) and Generation 3 (their children) participants. Generation 1 relates to grandparents who are not included in this study.

Triple B is an Australian longitudinal study involving 1,534 pregnant women and their partners recruited across 2009 to 2013 from antenatal clinics at four major public hospitals in New South Wales and Western Australia (Hutchinson et al. 2018). A standardised script was used to describe the study to pregnant women and written informed consent was obtained. Computer-assisted telephone interviews were completed either in person, via phone, or web survey. To capture a diverse sample and ensure recruitment sites were proportionally represented, research assistants attended antenatal clinics at each hospital, across all days and months of the year.

For each cohort, we included mother-offspring dyads who provided maternal social support and/or infant social-emotional data (ATP: n = 1,052 dyads [653 mothers, 1,052 children]; Triple B: n = 1,537 dyads [1,498 mothers, 1,537 children]).

Measures

Maternal social support

For ATP, the Maternity Social Support Scale (MSSS) was used to assess maternal social support in the third trimester and at eight-weeks post-birth via self-report (Webster et al. 2000). The MSSS comprises six items asking about support from friends, family, and partner. For example, “I have good friends who supports me”, and “My husband/wife/partner helps me a lot”. Responses were on a five-point Likert scale from Never to Always. For Triple B, social support was assessed somewhat differently at the two time-points. In trimester three of pregnancy, participants were asked to rate the following question on a five-point Likert scale, from Very Unsatisfied to Very Satisfied, “When you are having problems, are you satisfied with the support you get from friends?”. At eight-weeks post-birth, participants were asked to provide three scores on the helpfulness of support from friends, families, and partners on a four-point Likert scale from Not Helpful to Very Helpful, with these scores averaged to an overall social support score.

Infant social-emotional development

Infant social-emotional problems and competencies were assessed in both studies at 12-months of age via caregiver self-report instruments. We included measures of problems and competence as research suggests that they are not necessarily the inverse of each other and are predicted by different factors (McIntosh et al. 2021). For ATP, the Brief Infant Toddler Social Emotional Assessment (BITSEA) Problems and Competence scales were used (Briggs-Gowan 2004). The competence scale measured adaptive behaviours such as compliance, social skills, empathy, sustained attention, play skills, and mastery motivation. The problems scale measured problems such as externalising, internalising, and dysregulated behaviours. Items enquired about the frequency of behaviours on a three-point Likert scale from Rarely to Always. For Triple B, the Bayley Scales of Infant and Toddler Development, third edition, Social Emotional scale (Bayley-SE), assessed competence; and the Ages and Stages Questionnaire: Social-Emotional (ASQ:SE), assessed problems (Bayley 2006; Squires and Bricker 2009). The Bayley-SE assessed healthy social-emotional milestones based on age. Examples include self-regulation, interaction with the environment, emotional signalling, and social skills. Responses were on a six-point Likert scale from None of the time to All of the time. The ASQ:SE enquired about possible difficulties with emotion regulation, temperament, eating, sleeping, social interactions, and play on a three-point Likert scale from Rarely or never to Most of the time.

Further, to aid with the interpretation of scale scores, we derived binary variables for each scale using pre-specified cut-offs. For the BITSEA competency scale, scores less than or equal to 12 indicated a possible deficit/delay (Briggs-Gowan 2004), while for the problem scale, scores greater than or equal to 13 indicated possible problems. For the Bayley-SE, scores less than or equal to 6 were used to indicate possible challenges (Weiss et al. 2010), and for the ASQ-SE, scores greater than 48 indicated delays in social-emotional development (Squires et al. 2002).

Confounders

We selected confounding variables based on previous research suggesting associations between demographic or social factors and our exposures and outcomes of interest. Where such data were not collected in the relevant wave, factors assessed prior to the third trimester were included. Potential confounders in both cohorts were maternal age (years), education (<University vs ≥University), ethnicity (not Australia vs Australian) and financial status (ATP: ‘finding it very difficult to live comfortably’; Triple B: Socio-Economic Indexes for Areas [SEIFA] decile with greater numbers reflecting higher socio-economic context), and infant sex at birth (male vs female).

Statistical analysis

The study used Stata version 17.0 for all analyses (StataCorp 2019). A series of linear regression analyses estimated the association between maternal social support in the third trimester and at eight-weeks post-birth, and infant social-emotional problems and competencies at 12-months for the ATP and Triple B cohorts. We employed a robust variance estimator to account for the clustering in both samples (i.e., multiple children per mother). Analyses were conducted separately for each cohort and for each exposure-outcome relationship, with models estimated both unadjusted and adjusted for potential confounding factors. Prior to analysis, exposure and outcome scores were transformed to z-scores so that standardised regression coefficients could be calculated. Standardised coefficients can be interpreted as the estimated differences in the outcome variables for every standard deviation change in the predictor variables. The study used established guidelines to interpret effect sizes, taking into account the cumulative influence of small effects over time and the context of a community rather than a clinical sample (Funder and Ozer 2019). Thus, 0.05 was considered very small, 0.10 small, 0.20 medium, 0.30 large, and greater than 0.40 very large.

Multiple imputation was used to handle missing data in the inferential analyses. Twenty complete datasets were imputed, based on a multivariate normal model (Lee and Carlin 2010). Binary variables were imputed as continuous variables and then back transformed with adaptive rounding following imputation (Bernaards et al. 2007). Estimates were obtained by pooling results across the 20 imputed datasets using Rubin’s rules (Rubin 1988).

Results

Descriptive statistics for the ATP and Triple B samples are presented in Table 1. In regard to demographic characteristics, participants in the two cohorts were similar on mean maternal age (ATP=32.03 years; Triple B=32.53 years) and child sex (ATP=52% female; Triple B=49% female). In ATP, 88% of participants reported being Australian-born (12% were “born outside of Australia”), compared to 56% in Triple-B (44% “born outside of Australia”). In both cohorts, approximately two-thirds of participants had a university or higher education level (ATP=66%; Triple B=68%), and financial status scores above the mid-point on the respective scales in each cohort. Mothers in both cohorts also reported on average “adequate” levels of social support at each timepoint and, as expected for community samples, infant problems and competencies typically fell within the “healthy" range, with comparatively few infants being categorised as having potential problems.

Table 1.

Descriptive statistics for unimputed ATP and Triple B data

ATP (N=1052) Triple B (N=1537)
N M/n SD/% 95% CI % miss N M SD 95% CI % miss
Social support exposure
 3rd trimester pregnancy a (M/SD) 734 27.51 2.28 (27, 28%) 30% 1516 4.42 0.77 (4, 4%) 1%
 8-weeks post-birth b (M/SD) 551 27.43 2.37 (27, 28%) 48% 1112 2.49 0.52 (2, 3%) 28%
Outcomes (12-months)
 Infant competencies c (M/SD) 931 16.12 2.76 (16, 16%) 12% 1247 11.20 3.03 (11, 11%) 19%
  Cut-off (n/%) 931 100 11% (9, 13%) 1247 33 3% (2, 4%)
 Infant problems d (M/SD) 932 7.13 4.32 (7, 7%) 11% 1247 20.52 13.49 (20, 21%) 19%
  Cut-off (n/%) 932 109 12% (10, 14%) 1247 45 4% (3, 5%)
Potential Confounders
 Maternal age (M/SD) 1052 32.03 2.35 (32, 32%) 0% 1535 32.53 5.11 (32, 33%) <1%
 Financial status (M/SD) 930 3.11 0.88 (3, 3%) 12% 1534 7.96 2.23 (8, 8%) <1%
 Education 31% <1%
      <University (n/%) 721 242 34% (30, 37%) 1532 495 32% (30, 35%)
   ≥University (n/%) 721 479 66% (63, 70%) 1532 1037 68% (65, 70%)
 Ethnicity 73% <1%
   Australian (n/%) 281 247 88% (84, 91%) 1532 855 56% (53, 58%)
   Not Australian (n/%) 281 34 12% (9, 16%) 1532 677 44% (42, 47%)
 Child sex 0% 3%
   Male (n/%) 1052 510 48% (45, 52%) 1496 770 51% (49, 54%)
   Female (n/%) 1052 542 52% (48, 55%) 1496 726 49% (46, 51%)
Open in a new tab

ATP Australian Temperament Project, Triple B Triple B Pregnancy Cohort Study, SD standard deviation, N available data for each variable; a=Social support in 3rd trimester of pregnancy assessed with the MSSS (ATP) and single-item (Triple B); b=Social support 8-weeks post-birth assessed with the MSSS (ATP) and helpful support items (Triple B); c=Infant competencies assessed with the BITSEA competencies (ATP) and BAYLEY-SE Competencies (Triple B), d=Infant problems assessed with the BITSEA problems (ATP) and ASQ-SE problems (Triple B)

Table 2 presents the associations between maternal social support in the third trimester of pregnancy and at eight-weeks post-birth, and infant social-emotional problems and competencies at 12-months of age in the ATP and Triple B cohorts. Supplementary logistic regression analyses using pre-specified outcome cut-off scores supported the pattern of findings (see Table S1 of the Supplement).

Table 2.

Linear regression estimates for the associations between maternal perinatal social support and infant social-emotional outcomes at 12-months

ATP (N=1052) Triple B (N=1537)
BITSEA Competencies BITSEA Problems BAYLEY-SE Competencies ASQ-SE Problems
β (95% CI) p β (95% CI) p β (95% CI) p β (95% CI) p

Social Support:

Third Trimester of Pregnancy
 Unadjusted .12 (.04, .21) .003 -.17 (-.25, -.09) <.001 .07 (.01, .13) .029 -.12 (-.18, -.06) <.001
 Adjusted .12 (.04, .19) .003 -.15 (-.23, -.07) <.001 .07 (.01, .13) .022 -.11 (-.17, -.05) <.001

Social Support:

Eight-weeks Post-Birth
 Unadjusted .18 (.10, .26) <.001 -.14 (-.23, -.05) .002 .05 (-.02, .12) .178 -.07 (-.13, -.01) .032
 Adjusted .16 (.08, .25) <.001 -.12 (-.21, -.03) .012 .06 (-.01, .13) .119 -.07 (-.13, -.01) .032
Open in a new tab

Mother age, education, ethnicity, financial status, and infant sex were included in the adjusted models for both the ATP and Triple B cohorts. ATP Australian Temperament Project, Triple B Triple B Pregnancy Cohort Study, BITSEA Brief Infant and Toddler Social Emotional Assessment, ASQ:SE Ages and Stages Questionnaires: Social Emotional, BAYLEY-SE Bayley Scales of Infant and Toddler Development, Social Emotional scale

In ATP, after accounting for potential confounding factors, maternal social support in the third trimester of pregnancy was associated with lower offspring problems at 12 months of age (β=-0.15, 95% CI = -0.23, -0.07). Maternal social support at eight-weeks post-birth was also associated with lower problems at 12 months (β=-0.12, 95% CI = -0.21, -0.03). Similarly, maternal social support in the third trimester of pregnancy was associated with greater offspring competencies at 12 months (β=0.12, 95% CI = 0.04, 0.19). An association was also observed between social support at eight-weeks post-birth and greater infant competencies at 12 months (β=0.16, 95% CI = 0.08, 0.25). Associations were of a small-medium strength and were of similar strength after accounting for potential confounding factors.

In Triple B, after accounting for potential confounding factors, maternal social support in the third trimester of pregnancy was associated with lower offspring problems at 12 months (β=-0.11, 95% CI = -0.17, -0.05). Maternal social support at eight-weeks post-birth was also associated with lower problems at 12 months (β=-0.07, 95% CI = -0.13, -0.01). Similarly, maternal social support during the third trimester of pregnancy was associated with greater subsequent offspring competencies at 12 months (β=0.07, 95% CI = 0.01, 0.13); however, evidence did not support associations at eight-weeks post-birth (β=0.06, 95% CI = -0.01, 0.13). Associations were of a very-small to medium strength and were of similar strength after prior to accounting for potential confounding factors.

Discussion

The current study provides evidence via cross-cohort replication for an association between maternal perinatal social support and infant social-emotional development. Across cohorts and perinatal time-points, higher maternal social support was associated with fewer social-emotional problems, and more social-emotional competencies, in one-year-old offspring. The only exception to this was a lack of statistical association between social support at eight-weeks post-birth and infant competencies in Triple B, albeit the relationship was in the expected direction. Generally, we found very small to medium effect sizes, which represent modest yet consistent meaningful differences from a population level prevention perspective (Funder and Ozer 2019). Results were consistent regardless of adjustment, suggesting that these associations were not attenuated by measured demographic factors. The use of population rather than clinically indicated samples provides new information capable of informing population level preventive intervention. Inclusion of behavioural measures of infant social-emotional development, spanning both problems and competencies, also supports the importance of perinatal maternal social support in both risk and protective intergenerational pathways.

The mechanisms via which social support may influence infant social-emotional development are likely complex. Conceptually, social relationships have been theorised as promoters of mental health through the support they confer (Leahy-Warren et al. 2018). Perceived availability of social support may act to buffer stress, facilitating the major transitions of pre-pregnancy to pregnancy, and pregnancy to parenthood (Leahy-Warren et al. 2018). Meta-analytic evidence suggests that social support can influence factors related to infant social-emotional development, such as maternal mental health, attitudes towards offspring and the parent role, and behavioural responses to an infant’s physical and emotional needs (Andresen and Telleen 1992; Harandi et al. 2017). There is also evidence that social support is associated with physical development in utero and reduced risk of preterm birth, which is in turn linked to improved offspring social-emotional development (Cassiano et al. 2016; Mirabzadeh et al. 2013). It is likely that intergenerational social-emotional developmental pathways are multifactorial, with social support potentially influencing a number of biopsychosocial and contextual variables via the reduction of stress.

Implications

Findings underscore the potential value of greater investment in social support for women during the third trimester of pregnancy and the early post-birth period. This aligns with WHO recommendations and clinical guidelines calling for both medical and emotional care for women perinatally (National Institute for Health and Care Excellence 2014; World Health Organisation 2018). Preventative intervention could occur broadly at the population level (e.g., through structured social support opportunities), or be targeted towards individuals identified as having low social support (e.g., through clinical intervention).

In addition, results provide support for extended assessment of social support in the perinatal period. This study also contributes to the broader endeavour of establishing population level screening for factors which may have intergenerational ramifications. Specifically, we contribute replicated evidence supporting the inclusion of maternal social support as a predictive domain for inclusion within prognostic perinatal screening instruments assessing infant social-emotional development.

Pertaining to both population level intervention and screening, facilitatory infrastructure already exists within some public health systems, such as hospitals and Maternal, Family, and Child Health services. In the Australian context, for example, the latter are public health services that typically offer parent groups commencing in the post-birth period. This research supports the extension of such opportunities to earlier in the perinatal period. Timely intervention with the goal of increasing support is also warranted. Current patterns of attendance at hospital and Maternal, Family, and Child Health Services appointments suggest an optimal window for screening and intervention from approximately 20-weeks’ gestation to four-months post-birth (The Victorian Auditor-General’s Office (VAGO) 2011). We suggest screening and intervention as early as feasible after 20-weeks’ gestation, to both increase social support early in pregnancy and promote the potentially protective role of social support.

Limitations

In mature cohort studies there are important sources of selection, measurement, and confounding bias that require consideration (Sterne et al. 2016). Attrition and non-response in both cohorts (ATP: 20-30%; Triple B: 16%) may limit the generalisability of findings, although we used multiple imputation to account for missingness. While there were minimal differences in demographics between those who continued and discontinued participation (mothers who continued participation were more likely to have parents born in Australia in ATP, and more likely to be of higher socio-economic status in Triple B), these were accounted for in the analyses. Further, it is possible that results were affected by residual attrition bias, where a sample is advantaged compared to the general population due to decreased likelihood of ongoing participation in the face of difficulty. Moreover, as the samples studied represented a high-income, Western, industrialised population, inferences from our samples may only be generalisable to similar populations. Our findings may also only be generalisable to mothers, as we did not examine social support in partners. Future research investigating partner social support would be beneficial as the literature has been predominantly focused on mothers.

The measurement of maternal social support also varied between cohorts and timepoints. While measures in ATP were consistent across time and encompassed support across family, friends, and partners, Triple B captured support from family, friends, and partners at the eight-week assessment, but only from friends during the pregnancy assessment. Additionally, in Triple B, level of support could not be ascertained from one mother who reported having no available supports. Future studies on such high-risk women is warranted to better understand the relationship between no social support and maternal and child outcomes. Despite these measurement differences, findings were robust to study differences, with all observed effects in the expected direction (i.e., higher maternal social support was associated with more optimal development). Further, as the measures used in both studies were self-report, they could have been influenced by social desirability response bias, potentially attenuating the observed associations. However, measurement occurred in a context of confidentiality, which likely reduced bias (Newman et al. 2017).

Finally, although we controlled for various potential confounders, it is possible that results reflect residual effects of unmeasured or uncontrolled factors. We nevertheless considered findings meaningful in their predictive capacity at the community level. Similarly, although we cannot claim causality between perinatal maternal social support and offspring social-emotional outcomes, it can be assumed that the former predicts the latter.

Conclusion

Maternal social support during late pregnancy and early in the post-birth period is associated with infant social-emotional trajectories. Given social support is modifiable, this is a highly accessible protective factor that could reduce offspring problems and increase competence. In the context of the extant literature, there is growing evidence to suggest that increased social support may be beneficial in promoting intergenerational social-emotional health and protecting against problems at both the community and individual levels. The present research further highlights that infants’ broader socio-ecological contexts are critical to their wellbeing.

Supplementary information

ESM 1 (16.8KB, docx)

(DOCX 16.8 kb)

Acknowledgments

The ATP and ATPG3 studies are located at The Royal Children’s Hospital Melbourne and are a collaboration between Deakin University, The University of Melbourne, The Murdoch Children’s Research Institute, The Australian Institute of Family Studies, The University of New South Wales, The University of Otago (New Zealand), and the Royal Children’s Hospital. We acknowledge all collaborators who have contributed to the ATP, particularly Professor Ann Sanson, Margot Prior, Frank Oberklaid, and Dr Diana Smart. The Triple B cohort is led by the National Drug and Alcohol Research Centre at the University of New South Wales, the National Drug Research Institute at Curtin University, and the School of Psychology at Deakin University, in collaboration with the University of Sydney, the University of Queensland, and the Murdoch Children’s Research Institute. We acknowledge the hospitals and antenatal clinics for their assistance with recruitment, all research staff and students who assisted with collection of the data, and study investigators not included as authors. Both cohorts sincerely thank the participating families for their time and invaluable contribution to each study.

Role of the funder

Funding sources played no role in study design, data collection, data analysis, data interpretation, report writing, approval of the manuscript, or decision to submit the manuscript for publication.

Funding

Open Access funding enabled and organized by CAUL and its Member Institutions The Australian Temperament Project (ATP) was funded by grants from the Australian Research Council [DP130101459; DP160103160; DP180102447] and the National Health and Medical Research Council of Australia (NHMRC) [APP1082406]. The Triple B Pregnancy Study (Triple B) was funded by grants from the NHMRC [GNT630517], Australian Rotary Health (2012-2013; 2018-2020), the Foundation for Alcohol Research and Education (2010-2011), and the Financial Markets Foundation for Children, Australia (2015-2016). Further financial support came from the National Drug and Alcohol Research Centre (NDARC) at University of New South Wales (UNSW). The Australian Government supported NDARC at UNSW and the National Drug Research Institute at Curtin University under the Substance Misuse Prevention and Service Improvements Grants Fund. Senior authors EE, DH, and CAO are supported by NHMRC Research Fellowships [APP1197488; APP1175086; APP1021480] and EE is additionally supported by a Medical Research Futures Fund Fellowship [MRF1115959]. ES is supported by an Alfred Deakin Postdoctoral Research Fellowship at Deakin University, Australia. MS was supported by an Australian Government Research Training Program Scholarship.

Data availability

Group-level data may be made available on request from the authors.

Declarations

Conflict of interest

The authors declare that there are no conflicts of interest.

Ethical approval

This research was approved by Human Research Ethics Committees affiliated with Royal Prince Alfred Hospital (Sydney), Royal Women’s Hospital (Sydney), Liverpool Hospital (Sydney), King Edward Memorial Hospital (Perth), University of New South Wales (Sydney), Curtin University (Perth), Deakin University (Melbourne), University of Sydney (Sydney), University of Queensland (Queensland), University of Melbourne (Melbourne), and Murdoch Children’s Research Institute (Melbourne). Written parental consent was obtained for the collection and reporting of parent and child data, and only deidentified group-level findings are reported.

Footnotes

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References

  1. Andresen PA, Telleen SL (1992) The relationship between social support and maternal behaviors and attitudes: a meta-analytic review. Am J Community Psychol 20(6):753–774. 10.1007/BF01312606 [PubMed] [Google Scholar]
  2. Bayley N (2006) Bayley scales of infant and toddler development, 3rd edition (Bayley-III). The Psychological Corporation [Google Scholar]
  3. Bernaards CA, Belin TR, Schafer JL (2007) Robustness of a multivariate normal approximation for imputation of incomplete binary data. Stat Med 26(6):1368–1382. 10.1002/sim.2619 [DOI] [PubMed] [Google Scholar]
  4. Bolt RJ, van Weissenbruch MM, Lafeber HN, Delemarre-van de Waal HA (2002) Development of the hypothalamic-pituitary-adrenal axis in the fetus and preterm infant. J Pediatr Endocrinol Metab 15(6). 10.1515/JPEM.2002.15.6.759 [DOI] [PubMed]
  5. Bornstein MH (2014) Human infancy...and the rest of the lifespan. Annu Rev Psychol 65(1):121–158. 10.1146/annurev-psych-120710-100359 [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Briggs-Gowan MJ (2004) The brief infant-toddler social and emotional assessment: screening for social-emotional problems and delays in competence. J Pediatr Psychol 29(2):143–155. 10.1093/jpepsy/jsh017 [DOI] [PubMed] [Google Scholar]
  7. Briggs-Gowan MJ, Carter AS (2008) Social-emotional screening status in early childhood predicts elementary school outcomes. Pediatrics 121(5):957–962. 10.1542/peds.2007-1948 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Cassiano RGM, Gaspardo CM, Linhares MBM (2016) Prematurity, neonatal health status, and later child behavioral/emotional problems: a systematic review. Infant Ment Health J 37(3):274–288. 10.1002/imhj.21563 [DOI] [PubMed] [Google Scholar]
  9. Crnic KA, Greenberg MT, Slough NM (1986) Early stress and social support influences on mothers’ and high-risk infants’ functioning in late infancy. Infant Ment Health J 7(1):19–33 [Google Scholar]
  10. Funder DC, Ozer DJ (2019) Evaluating effect size in psychological research: sense and nonsense. Adv Methods Pract Psychol Sci 2(2):156–168. 10.1177/2515245919847202 [Google Scholar]
  11. Haapsamo H, Kuusikko-Gauffin S, Carter AS, Pollock-Wurman R, Ebeling H, Joskitt L, Larinen K, Soini H, Pihlaja P, Moilanen I (2012) A pilot longitudinal follow-up study of the Brief Infant Toddler Social–Emotional Assessment (BITSEA) in Northern Finland: examining toddlers’ social–emotional, behavioural and communicative development. Early Child Dev Care 182(11):1487–1502. 10.1080/03004430.2011.622756 [Google Scholar]
  12. Harandi TF, Taghinasab MM, Nayeri TD (2017) The correlation of social support with mental health: a meta-analysis. Electron Physician 9(9):5212–5222. 10.19082/5212 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Hutchinson D, Wilson J, Allsop S, Elliott E, Najman J, Burns L, Bartu A, Jacobs S, Honan I, McCormack C, Rossen L, Fiedler H, Stone C, Khor S, Ryan J, Youssef J et al (2018) Cohort profile: the Triple B pregnancy cohort study: a longitudinal study of the relationship between alcohol, tobacco and other substance use during pregnancy and the health and well-being of Australian children and families. Int J Epidemiol 47(1). 10.1093/ije/dyx126 [DOI] [PubMed]
  14. James SL, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, Abbastabar H, Abd-Allah F, Abdela J, Abdelalim A, Abdollahpour I, Abdulkader RS, Abebe Z, Abera SF, Abil OZ, Abraha HN, Abu-Raddad LJ, Abu-Rmeileh NME, Accrombessi MMK et al (2018) Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 392(10159):1789–1858. 10.1016/S0140-6736(18)32279-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Le Bas G, Youssef G, Macdonald J, Rossen L, Teague S, Kothe E, McIntosh J, Olsson C, Hutchinson D (2020) The role of antenatal and postnatal maternal bonding in infant development: a systematic review and meta-analysis. Soc Dev 29(1):3–20. 10.1111/sode.12392 [Google Scholar]
  16. Le Bas G, Youssef G, Macdonald J, Teague S, Mattick R, Honan I, McIntosh J, Khor S, Rossen L, Elliott E, Allsop S, Burns L, Olsson C, Hutchinson D (2021) Maternal bonding, negative affect, and infant social-emotional development: a prospective cohort study. J Affect Disord 281:926–934. 10.1016/j.jad.2020.11.031 [DOI] [PubMed] [Google Scholar]
  17. Le Bas G, Youssef G, Macdonald J, Teague S, Mattick R, Honan I, McIntosh J, Khor S, Rossen L, Elliott E, Allsop S, Burns L, Olsson CA, Hutchinson D (2022) The role of antenatal and postnatal maternal bonding in infant development. J Am Acad Child Adolesc Psychiatry 61(6):820–829.e1. 10.1016/j.jaac.2021.08.024 [DOI] [PubMed] [Google Scholar]
  18. Leahy-Warren P, Newham J, Alderdice F (2018) Perinatal social support: panacea or a pitfall. J Reprod Infant Psychol 36(3):219–221. 10.1080/02646838.2018.1477242 [DOI] [PubMed] [Google Scholar]
  19. Lee KJ, Carlin JB (2010) Multiple imputation for missing data: fully conditional specification versus multivariate normal imputation. Am J Epidemiol 171(5):624–632. 10.1093/aje/kwp425 [DOI] [PubMed] [Google Scholar]
  20. McDonald SW, Kehler HL, Tough SC (2016) Protective factors for child development at age 2 in the presence of poor maternal mental health: results from the All Our Babies (AOB) pregnancy cohort. BMJ Open 6(11):e012096. 10.1136/bmjopen-2016-012096 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. McIntosh JE, Olsson CA, Schuijers M, Tan ES, Painter F, Schnabel A, LeBas G, Higgs-Howarth S, Benstead M, Booth AT, Hutchinson D (2021) Exploring perinatal indicators of infant social-emotional development: a review of the replicated evidence. Clin Child Fam Psychol Rev 24(3):450–483. 10.1007/s10567-021-00356-2 [DOI] [PubMed] [Google Scholar]
  22. Mirabzadeh A, Dolatian M, Forouzan AS, Sajjadi H, Majd HA, Mahmoodi Z (2013) Path analysis associations between perceived social support, stressful life events and other psychosocial risk factors during pregnancy and preterm delivery. Iran Red Crescent Med J 15(6):507–514. 10.5812/ircmj.11271 [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Narvaez D, Gleason T, Wang L, Brooks J, Lefever JB, Cheng Y (2013) The evolved development niche: longitudinal effects of caregiving practices on early childhood psychosocial development. Early Child Res Q 28(4):759–773. 10.1016/j.ecresq.2013.07.003 [Google Scholar]
  24. National Institute for Health and Care Excellence (2014) Antenatal and postnatal mental health: clinical management and service guidance (CG192).https://www.nice.org.uk/guidance/cg192 [PubMed]
  25. Newman L, Judd F, Komiti A (2017) Developmental implications of maternal antenatal anxiety mechanisms and approaches to intervention. Transl Dev Psychiatry 5(1):1309879. 10.1080/20017022.2017.1309879 [Google Scholar]
  26. O’Dea GA, Youssef GJ, Hagg LJ, Francis LM, Spry EA, Rossen L, Smith I, Teague SJ, Mansour K, Booth A, Davies S, Hutchinson D, Macdonald JA (2023) Associations between maternal psychological distress and mother-infant bonding: a systematic review and meta-analysis. Arch Womens Ment Health 26(4):441–452. 10.1007/s00737-023-01332-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Olsson CA, Letcher P, Greenwood CJ, McIntosh JE, Barker S, Olsson CM, Macdonald JA, Spry EA, Hutchinson D, Ryan J, Edwards B, McGee R, Patton GC, Sanson AV (2022) The Australian Temperament Project Generation 3 study: a population-based multigenerational prospective cohort study of socioemotional health and development. BMJ Open 12(9):e061854. 10.1136/bmjopen-2022-061854 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Pontoppidan M, Niss NK, Pejtersen JH, Julian MM, Væver MS (2017) Parent report measures of infant and toddler social-emotional development: a systematic review. Fam Pract 34(2):127–137. 10.1093/fampra/cmx003 [DOI] [PubMed] [Google Scholar]
  29. Riecher-Rossler A & Steiner M (2005). Perinatal Stress, Mood and Anxiety Disorders (A. Riecher-Rössler & M. Steiner, Eds.; Vol. 173). S. Karger AG. 10.1159/isbn.978-3-318-01176-0
  30. Rogers A, Obst S, Teague S, Rossen L, Spry E, Macdonald J, Sunderland M, Olsson C, Youssef G, Hutchinson D (2020) Association between maternal perinatal depression and anxiety and child and adolescent development. JAMA Pediatr 174(11):1082. 10.1001/jamapediatrics.2020.2910 [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Rogers A, Youssef G, Teague S, Sunderland M, Le Bas G, Macdonald J, Mattick R, Allsop S, Elliott E, Olsson C, Hutchinson D (2023) Association of maternal and paternal perinatal depression and anxiety with infant development: a longitudinal study. J Affect Disord 338:278–288. 10.1016/j.jad.2023.06.020 [DOI] [PubMed] [Google Scholar]
  32. Rubin DB (1988) An overview of multiple imputation. Harvard University. http://www.asasrms.org/Proceedings/papers/1988_016.pdf
  33. Squires J, Bricker D (2009) Ages & Stages Questionnaires, Third Edition (ASQ-3). Brooks Publishing Company [Google Scholar]
  34. Squires J, Bricker D, Twombly E (2002) The ASQ:SE User’s Guide: For the Ages & Stages Questionnaires: Social-Emotional. Brookes Publishing Co. [Google Scholar]
  35. StataCorp (2019) Stata statistical software: Release 16. StataCorp LLC. [Google Scholar]
  36. Sterne JA, Hernán MA, Reeves BC, Savović J, Berkman ND, Viswanathan M, Henry D, Altman DG, Ansari MT, Boutron I, Carpenter JR, Chan A-W, Churchill R, Deeks JJ, Hróbjartsson A, Kirkham J, Jüni P, Loke YK, Pigott TD et al (2016) ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ:i4919. 10.1136/bmj.i4919 [DOI] [PMC free article] [PubMed]
  37. Taylor SE (2011) Social support: A review. In: Friedman HS (ed) The Oxford handbook of health psychology. Oxford University Press, pp 189–214 [Google Scholar]
  38. The Victorian Auditor-General’s Office (VAGO) (2011) Early childhood development services: access and quality. https://www.audit.vic.gov.au/report/early-childhood-development-services-access-and-quality
  39. Unger DG, Wandersman LP (1985) Social support and adolescent mothers: action research contributions to theory and application. J Soc Issues 41(1):29–45. 10.1111/j.1540-4560.1985.tb01115.x [Google Scholar]
  40. Vassallo S & Sanson A (2013). The australian temperament project: the first 30 years. [Google Scholar]
  41. Webster J, Linnane JWJ, Dibley LM, Hinson JK, Starrenburg SE, Roberts JA (2000) Measuring social support in pregnancy: can it be simple and meaningful? Birth 27(2):97–101. 10.1046/j.1523-536x.2000.00097.x [DOI] [PubMed] [Google Scholar]
  42. Weiss LG, Oakland T, Aylward G (2010) In: Weiss LG, Oakland T, Aylward GP (eds) Bayley-III Clinical Use and Interpretation. Elsevier [Google Scholar]
  43. World Health Organisation (2013) Comprehensive mental health action plan 2013-2020. https://www.who.int/publications/i/item/9789240031029
  44. World Health Organisation (2018) WHO recommendations: Intrapartum care for a positive childbirth experience. https://www.who.int/publications/i/item/9789241550215 [PubMed]

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