External Publications Using GUI Data

Background
There are few prospective studies of factors that mediate the association between exposure to adverse childhood experiences (ACEs) and obesity in adolescence. Our aim was to address this limitation.

Methods
We used prospective data from the Growing up in Ireland cohort study, with measurements at 9, 13, and 18 years old. The exposures were 14 adverse experiences before age 9. The main outcome was body mass index (BMI) at 18 years. Mediators were daily activity, diet quality, self-image and behavioural difficulties at 13 years.

Results
Among the 4561 adolescents in the final cohort, 77.2% experienced any adversity, 50.5% were female and 26.7% were overweight/obese at 18 years. BMI Z was higher at ages 9 (0.54 vs 0.43, p < 0.05, 95% CI of difference: −0.22, −0.01) and 13 years (0.50 vs 0.35, p < 0.05, 95% CI of difference: −0.25, −0.06), in those exposed to an ACE, compared to those unexposed. Structural equation models revealed that behavioural difficulties (β = 0.01; 95% CI: 0.007–0.018, p < 0.001) and self-concept (β = 0.0027; 95% CI: 0.0004–0.0050, p = 0.026) indirectly mediate the association between exposure to ACEs and BMI at 18 years.

Conclusions
The association between ACEs and BMI in adolescence is mediated by behavioural difficulties and self-concept.

Impact

• In a previous study, we found modest associations between exposure to a range of adverse childhood experiences and weight gain at 13 years of age.
• The strength of the association between adverse childhood experiences and weight gain was lower at 18 years of age compared to the association observed at 13 years and was no longer significant after controlling for confounding and including possible mediators.
• The association between adverse childhood experiences and BMI in adolescence is indirectly mediated by behavioural difficulties and self-concept.

Background
There are no early, accurate, scalable methods for identifying infants at high risk of poor cognitive outcomes in childhood. We aim to develop an explainable predictive model, using machine learning and population-based cohort data, for this purpose.

Methods
Data were from 8858 participants in the Growing Up in Ireland cohort, a nationally representative study of infants and their primary caregivers (PCGs). Maternal, infant, and socioeconomic characteristics were collected at 9-months and cognitive ability measured at age 5 years. Data preprocessing, synthetic minority oversampling, and feature selection were performed prior to training a variety of machine learning models using ten-fold cross validated grid search to tune hyperparameters. Final models were tested on an unseen test set.

Results
A random forest (RF) model containing 15 participant-reported features in the first year of infant life, achieved an area under the receiver operating characteristic curve (AUROC) of 0.77 for predicting low cognitive ability at age 5. This model could detect 72% of infants with low cognitive ability, with a specificity of 66%.

Conclusions
Model performance would need to be improved before consideration as a population-level screening tool. However, this is a first step towards early, individual, risk stratification to allow targeted childhood screening.

Impact
• This study is among the first to investigate whether machine learning methods can be used at a population-level to predict which infants are at high risk of low cognitive ability in childhood.
• A random forest model using 15 features which could be easily collected in the perinatal period achieved an AUROC of 0.77 for predicting low cognitive ability.
• Improved predictive performance would be required to implement this model at a population level but this may be a first step towards early, individual, risk stratification.

Background
There is growing concern around youth mental health. A population health approach to improve mental health must address, among other issues, economic insecurity, access to housing and education, harm reduction from substance use. As a universal public health intervention, increasing physical activity at a population level may have an important role in our approach. The aim of this study was to examine the longitudinal association between physical activity patterns between childhood and early adolescence and emotional-behavioural difficulties in later adolescence.

Methods
This study was based on data from the ′98 Child cohort of the Growing Up in Ireland Study. Participants were categorized according to physical activity levels at ages 9 and 13. Emotional-behavioural difficulties at age 17 were measured using the parent-reported Strengths and Difficulties Questionnaire. Logistic regression was used to examine the association between physical activity and emotional-behavioural outcomes.

Results
Among 4618 participants included in the regression model, those categorized as Inactive (n=1607) or Reducer (n=1662) were more than twice as likely to have emotional-behavioural difficulties at age 17 compared with those who were Active [adjusted odds ratio (AOR) 2.1, 95% CI 1.46–3.01, P<0.001; AOR 1.93, 95% CI 1.34–2.76, P<0.001, respectively]. Among those with emotional-behavioural difficulties at baseline (n=525), those categorized as Active had 2.3-fold reduced odds for emotional-behavioural problems at age 17 compared with those who were Inactive (AOR 0.43, 95% CI 0.23–0.78, P=0.006).

Conclusions
Increasing physical activity among adolescents is a safe and sustainable public health intervention associated with improved mental health.

Background
There is limited knowledge of the extent of or factors underlying inequalities in uptake of childhood vaccination in Ireland. This paper aims to measure and decompose socioeconomic inequalities in childhood vaccination in the Republic of Ireland.

Methods
The analysis was performed using data from the first wave of the Growing Up in Ireland survey, a nationally representative survey of the carers of over 11,000 nine-month old babies collected in 2008 and 2009. Multivariate analysis was conducted to explore the child and parental factors, including socioeconomic factors that were associated with non-vaccination of children. A concentration index was calculated to measure inequality in childhood vaccination. Subsequent decomposition analysis identified key factors underpinning observed inequalities.

Results
Overall the results confirm a strong socioeconomic gradient in childhood vaccination in the Republic of Ireland. Concentration indices of vaccination (CI = −0.19) show a substantial pro-rich gradient. Results from the decomposition analysis suggest that a substantial proportion of the inequality is explained by household level variables such as socioeconomic status, household structure, income and entitlement to publicly funded care (29.9%, 24% 30.6% and 12.9% respectively). Substantial differences are also observed between children of Irish mothers and immigrant mothers from developing countries.

Conclusions
Vaccination was less likely in lower than in higher income households. Access to publicly funded services was an important factor in explaining inequalities.

Background
Tobacco use is closely linked to social and health inequalities, including economic vulnerability, morbidity, and premature death. Young adults with disabilities experience significant social and material hardships, which may be exacerbated by tobacco use. Limited research exists on smoking and e-cigarette use in this population. This study examines the prevalence of disability among young adults in Ireland, compares smoking and e-cigarette use between those with and without disabilities, identifies protective and risk factors, explores shared risk factors, and evaluates disability as an independent risk factor for smoking and e-cigarette use.

Methods
We analysed weighted data from 4,729 20-year-olds in the Growing Up in Ireland Cohort ’98 study who were present in Waves 1 (2008), 3 (2016), and 4 (2019). Current smoking, e-cigarette use, disability (excluding mental ill-health) and all other variables were assessed at Wave 4, while peer smoking data were drawn from Wave 3. Analyses were conducted using SPSS version 27.

Results
18.1% of participants reported a disability, which was associated with significantly higher smoking (41.8% vs. 36.7%) and e-cigarette use (16.1% vs. 12.9%). Protective factors against both behaviours included being female (OR 0.87 for smoking, OR 0.57 for e-cigarettes), later smoking initiation (OR 0.35, OR 0.62), living in two-parent families (OR 0.83, OR 0.70), and physical activity (smoking only). Risk factors included having peers who smoked (OR 3.67 for smoking; OR 2.36 for e-cigarette use) and caregivers who smoked (OR 1.48, OR 1.48), being employed at age 20 (OR 1.58, OR 1.48), and social media engagement (smoking only). Young adults with disabilities were significantly more likely to experience risk factors (e.g., earlier smoking initiation, caregivers who smoked, one-parent families, employment) but were less likely to have peers who smoked or engage with social media. Disability was independently associated with a higher likelihood of smoking (by 54%) and e-cigarette use (by 36%) after adjusting for protective and risk factors.

Conclusion
Higher smoking and e-cigarette use in 20-year-olds with disabilities adds further inequality to their lives. Increased awareness, targeted surveys and focused prevention and therapeutic interventions are required to reduce inequalities in this population and hasten the tobacco endgame.

Background
Unintended pregnancy is associated with increased risk for adverse neonatal and early childhood outcomes spanning an array of indicators, but it remains unclear whether these risks hold independent of other biological, social and environmental risk factors.

Methods
This study uses data from the first wave of the ‘Growing Up in Ireland Study’, a large nationally representative cohort study of more than 11 000 infants, to examine the risk factors associated with unintended pregnancy. Adopting a staged approach to the analysis, the study investigates whether pregnancy intention influences maternal health behaviours during pregnancy independent of background characteristics, and whether pregnancy intention carries any additional risk for adverse infant and maternal health outcomes when we adjust for background characteristics and prenatal behaviours.

Results
The study confirmed that sociodemographic factors are strongly associated with unintended pregnancy and that unintended pregnancy is associated with a range of health compromising behaviours that are known to be harmful to the developing fetus. While there was little evidence to suggest that pregnancy intention was associated with adverse neonatal outcomes or developmental delay independent of other covariates, there was strong evidence that intention status had a bearing on the mother’s psychosocial health. Unintended pregnancy was associated with increased risk of depression (risk ratio 1.36 [95% confidence interval 1.19, 1.54]), and higher parenting stress (risk ratio 1.27 [95% confidence interval 1.16, 1.38]).

Conclusions
Ascertaining the mother’s pregnancy intention during the first antenatal visit may represent a means for monitoring those at greatest risk for adverse mother and child outcomes.

Background
Whether, and how, infant characteristics and parenting quality interact is one of developmental psychology’s key questions. However, whether specific interaction patterns replicate across cohorts or developmental outcomes is largely unknown. This study investigates whether infant characteristics and parenting quality are independent predictors (additive effects) of child outcomes or interact such that certain infants particularly suffer from poor parenting (diathesis stress), particularly benefit from good parenting (vantage sensitivity) or both (differential susceptibility).

Methods
Individual participant data from over 30,000 children from four prospective cohorts were pooled. Using a competitive-confirmatory approach of model evaluation, 16 possible permutations of infant characteristics (temperament and birthweight), parenting (maternal-reported stimulating and sensitive parenting) and later developmental outcomes (fluid and crystalised intelligence, internalising and externalising behaviour) were tested. The robustness of results was evaluated by subsequently varying analytic methods, using alternative parenting measures including observer reports and excluding covariates.

Results
AIC values in 10/16 analyses indicated infant characteristics acted independently of maternal-reported parenting for predicting developmental outcomes. Interaction patterns indicating diathesis stress (4/16), vantage sensitivity (2/16) or differential susceptibility (0/16) were rare or absent. However, diathesis-stress patterns were frequently found regarding birthweight and internalising behaviours, which were largely robust to methodological changes.

Conclusions
Developmental outcomes are more consistently explained by additive effects rather than by interaction effects.

Background
While it has been purported that excessive screen time can lead to behavioral problems, it has also been suggested that children with behavioral dysregulation receive more access to screens to manage problematic behavior. In this study, both temporally stable and longitudinal associations between screen time and externalizing and internalizing behaviors across childhood are examined to directly address this issue of directionality.

Methods
Data are from a prospective cohort of 10,172 Irish children, collected between 2010 and 2018 when children were ages 3, 5, 7, and 9. Children’s screen time (hours/day) and externalizing and internalizing behaviors (Strengths and Difficulties Questionnaire) were assessed via caregiver report. Random-intercepts cross-lagged panel models were used to estimate longitudinal bidirectional associations while controlling for temporally stable (i.e., ‘time-invariant’ or ‘trait-like’) differences between children.

Results
Temporally stable differences between children were observed for both screen time and behavior problems. Longitudinal trajectories for screen time lacked stability; however, and externalizing and internalizing behaviors stabilized increasingly during later childhood. Greater externalizing and internalizing behaviors at age 3 were directionally associated with increased screen time at age 5. Greater screen time at ages 3 and 5 was directionally associated with increased internalizing behaviors at ages 5 and 7, respectively. More screen time at age 7 was directionally associated with fewer internalizing behaviors at age 9. Screen time was not associated with later externalizing behaviors.

Conclusions
Bidirectional associations between screen time and internalizing behaviors were observed for preschoolers. Directional associations between screen time and internalizing difficulties were observed across childhood. These findings can inform screen use guidelines and family media planning at different ages and stages of development.

Background
Globally, childhood obesity is a significant public health problem associated with adverse health and economic consequences. To tackle the problem, we need a comprehensive understanding on how the environment in which we live may influence obesity related behaviours and weight status. Thus, we explore if distance to and number of food outlets ([1] supermarkets and [2] convenience stores) in the local area impact on either dietary quality or body mass index (BMI) in 9-year-old children whilst controlling for socio-economic characteristics of the family.

Methods
Cross sectional analysis of the Growing Up in Ireland (GUI) Study, a two-stage clustered sample of 8568 nine year old children from the Republic of Ireland. Children were recruited from schools (response rate 82%) and age eligible children (response rate 57%) were invited to participate. Height and weight measurements were used to calculate BMI. Diet was assessed using a short food frequency questionnaire and a dietary quality score was generated based on Irish healthy eating guidelines. Socio-economic status was measured using parent reported household class, household net equivalised income and highest level of maternal education. Food access was measured as network distance to (in quintiles) and number of (within 1000km) convenience stores and supermarkets to each participant’s household within the local area. Separate fixed effects regression models were used to assess the impact of local area food access on (1) dietary quality and (2) BMI, stratified by gender.

Results
After controlling for socio-economic characteristics of the household, distance to the nearest supermarket was not associated with dietary quality in boys (Q5 v Q1; B = 0.84, 95% CI, –0.49 to 2.18) or girls (Q5 v Q1; B = –0.41, 95% CI, –1.60 to 0.77). Distance to the nearest convenience store was associated with dietary quality in boys (Q5 v Q1; B = 1.01, 95% CI, 0.13 to 1.89) but not in girls (Q5 v Q1; B = 0.04, 95% CI, –0.71 to 0.80). The number of convenience stores or supermarkets within 1000m of the household did not impact on dietary quality. Access to food outlets was not associated with BMI in girls or boys.

Conclusion
There was little evidence to suggest that access to food stores impact dietary quality or BMI in children. From a population health perspective, strategies tackling environmental factors associated with making poor lifestyle choices are needed. Thus, further research on the association between food access and obesity risk is needed.

Importance As young people’s mental health difficulties increase, understanding risk and resilience factors under challenging circumstances becomes critical.

Objective To explore the outcomes of the COVID-19 pandemic on secondary school students’ mental health difficulties, as well as the associations with individual, family, friendship, and school characteristics.

Design, Setting, and Participants For this cohort study, follow-up data from the My Resilience in Adolescence (MYRIAD) cluster randomized clinical trial were collected across 2 representative UK cohorts. Mainstream UK secondary schools with a strategy and structure to deliver social-emotional learning, with an appointed head teacher, and that were not rated “inadequate” in their latest official inspection were recruited. A total of 5663 schools were approached, 532 showed interest, and 84 consented. Cohort 1 included 12 schools and 864 students, and cohort 2 included 72 schools and 6386 students. COVID-19 was declared a pandemic after cohort 1 had completed all assessments (September 2018 to January 2020), but cohort 2 had not (September 2019 to June 2021).

Exposures Cohort 2 was exposed to the COVID-19 pandemic, including 3 national lockdowns. Associations of individual, family, friendship, and school characteristics with students’ mental health were explored.

Main Outcomes and Measures Changes in students’ risk for depression (Center for Epidemiological Studies-Depression scale); social, emotional, and behavioral difficulties (Strengths and Difficulties Questionnaire); and mental well-being (Warwick-Edinburgh Mental Well-Being Scale).

Results Of the 7250 participants included, the mean (SD) age was 13.7 (0.6) years, 3947 (55.4%) identified as female, and 5378 (73.1%) self-reported their race as White. Twelve schools and 769 of the 864 students (89.0%) in cohort 1 and 54 schools and 2958 of the 6386 students (46.3%) in cohort 2 provided data and were analyzed. Mental health difficulties increased in both cohorts but to a greater extent among students exposed to the pandemic, including for risk of depression (adjusted mean difference [AMD], 1.91; 95% CI, 1.07-2.76); social, emotional, and behavioral difficulties (AMD, 0.76; 95% CI, 0.33-1.18); and mental well-being (AMD, −2.08; 95% CI, −2.80 to −1.36). Positive school climate, high home connectedness, and having a friend during lockdown were protective factors during the pandemic. Female gender and initial low risk for mental health difficulties were associated with greater mental health deteriorations. Partial school attendance during lockdown was associated with better adjustment than no attendance when returning to school.

Conclusions and Relevance This cohort study of secondary school students demonstrated that to promote mental health and adjustment, policy interventions should foster home connectedness, peer friendship, and school climate; avoid full school closures; and consider individual differences.

Importance Birth weight percentiles (BWPs) are often dichotomized at the 10th percentile and show statistically significant association with later cognitive performance, for both preterm and term-born children. However, research testing nonlinear associations between BWPs and cognitive performance is scarce.

Objective To investigate culturally invariant, nonlinear associations of BWPs and gestational age with later cognitive performance.

Design, Setting, and Participants In this cohort study, participants with valid neonatal and cognitive data were combined from 4 observational cohorts, including the Millennium Cohort Study, the National Longitudinal Survey of Youth 1979 Child and Young Adult cohort, Growing Up in Ireland, and the Longitudinal Study of Australian Children, with children born between 2000 and 2002, 1980 and 2010, 2007 and 2008, and 2003 and 2004, respectively. Neonatal data were parent reported before age 1 year. At approximately 5 years of age, multiple cognitive tests were performed. Follow-up at 5 years of age was the predominant focus. Data were analyzed July 17, 2023.

Exposure The parent-reported neonatal data were used to calculate BWPs according to the Fenton growth chart.

Main Outcome and Measure Scores for IQ were created from multiple measures of cognition, which were z standardized separately within each cohort.

Results Of 30 643 participants (50.8% male), 7.5% were born preterm (before 37 weeks gestation) and 92.5% were term born (between 37 and 42 weeks gestation). In the pooled data using multivariate adaptive regression splines, IQ linearly increased by 4.2 points as BWPs increased from the first to the 69th percentile before completely plateauing. For gestational age, IQ linearly increased by 1.3 points per week up until 32 weeks, with the association reducing to 0.3 points per week after 32 weeks. The association of BWP with IQ was not moderated by gestational age. For term-born infants, the estimated IQ score was only clinically meaningfully lower than average when birth weight was below the third percentile. Consistent results were found when instead using multivariable regression where gestational age and BWPs were categorized into groups.

Conclusions and Relevance In this cohort study, lower BWPs and gestational age were independently associated with lower IQ. For term-born infants, a cutoff of the third percentile would be more appropriate than the traditionally used 10th percentile when the aim is estimating meaningful cognitive differences.

Importance Understanding which children in the general population are at greatest risk of poor functional outcomes could improve early screening and intervention strategies.

Objective To investigate the odds of poor outcomes in emerging adulthood (ages 17 to 20 years) for children with different mental health trajectories at ages 9 to 13 years.

Design, Setting, and Participants Growing Up in Ireland is a longitudinal, nationally representative population-based cohort study. Data collection began in August 2007 and was repeated most recently in September 2018. All results were weighted to account for sampling bias and attrition and were adjusted for socioeconomic factors. Data analysis took place from October 2022 to April 2023.

Exposure Four latent classes captured variation in mental health in children aged 9 and 13 years, based on the parent-completed Strengths and Difficulties Questionnaire. Classes included no psychopathology, internalizing, externalizing, and high (comorbid) psychopathology. Those who remained in the same class from ages 9 to 13 years were included.

Main Outcomes and Measures Poor functional outcomes in emerging adulthood were measured at approximate ages 17 years (range, 16 to 18 years) and 20 years (range, 19 to 21 years). Outcomes included poor mental health, poor physical health, social isolation, heavy substance use, frequent health service use, poor subjective well-being, and adverse educational/economic outcomes.

Results Of 5141 included participants, 2618 (50.9%) were male. A total of 3726 (72.5%) were classed as having no childhood psychopathology, 1025 (19.9%) as having persistent externalizing psychopathology, 243 (4.7%) as having persistent internalizing psychopathology, and 147 (2.9%) as having persistent high psychopathology. Having any childhood psychopathology was associated with poorer functional outcomes in emerging adulthood. The internalizing group had elevated odds of most outcomes except for heavy substance use (range of odds ratios [ORs]: 1.38 [95% CI, 1.05-1.81] for frequent health service use to 3.08 [95% CI, 2.33-4.08] for poor mental health). The externalizing group had significantly elevated odds of all outcomes, albeit with relatively small effect sizes (range of ORs: 1.38 [95% CI, 1.19-1.60] for frequent health service use to 1.98 [95% CI, 1.67-2.35] for adverse educational/economic outcomes). The high psychopathology group had elevated odds of all outcomes (nonsignificantly for frequent health service use), though with wide confidence intervals (range of ORs: 1.53 [95% CI, 1.06-2.21] for poor physical health to 2.91 [95% CI, 2.05-4.12] for poor mental health). Female participants with any psychopathology had significantly higher odds of poor physical health and frequent health service use compared with male participants with any psychopathology.

Conclusions and Relevance In this longitudinal cohort study, childhood psychopathology was associated with a widespread pattern of functional impairment in emerging adulthood. Findings point to the need for a wider range of preventive interventions in child and adolescent mental health services.

Introduction
Compared to their more affluent peers, children of low socioeconomic position (SEP) are more likely to experience poor mental health. Correctly identifying factors that influence internalising and externalising symptoms is imperative for early, targeted intervention. Distinguishing between symptoms that are transient and chronic, and singular or co-morbid is important. We investigated how internalising and externalising behaviours co-occur in children from childhood to adolescence, and examined the association between these behaviours and childhood family- and child-level risk factors – including maternal characteristics, economic strain and experiences in childhood.

Method
Using the large, nationally representative, longitudinal sample from the Growing Up in Ireland study, two mixture modelling techniques were applied: Latent Class Analysis to unveil multidimensional family profiles by clustering subjects with similar familial, maternal and lived experiences, and Group-Based Multi-Trajectory Model to identify joint behavioural trajectories based on responses to the internalising and externalising subscales of the Strength and Difficulty Questionnaire, measured at three time points (age 9, 13 and 17).

Outcome
Half of the children (51%) showed no behavioural problems, however a large proportion of children experienced substantial economic strain while growing up in Ireland during the 2000s. Worse SEP conditions were linked to less advantageous maternal characteristics, e.g. mothers who were young, smoked and did not breastfeed. A clear gradient of troubled behaviour was seen as socio-economic difficulties increased. Changes in family profiles were associated with minor or modest alterations in behavioural outcomes. Implications for policy are discussed.

Introduction
Despite a growing body of research on associations between adolescent digital use and well-being, few studies have investigated these associations a) longitudinally and b) across socioeconomic status. The present study uses high-quality longitudinal data to examine how digital engagement shapes socioemotional and educational outcomes from early to late adolescence across socioeconomic status (SES).

Methods
Participants are 7685 individuals (49.0% female) from the 1998 birth cohort of the longitudinal Growing Up In Ireland (GUI) survey. The survey was administered to Irish parents and children between 2007 and 2016 (at ages 9, 13, and 17/18). Fixed-effects regression modeling was used to establish associations between digital engagement and socioemotional and educational outcomes. Further Fixed-Effects models were analyzed separately by SES, to assess how associations between digital use and adolescent outcomes differ by socioeconomic groups.

Results
Results show that digital screen time increases markedly from early to late adolescence, but to a higher extent among low-SES versus high-SES groups. Heavy levels of digital screen time (i.e., 3+ hours daily) are associated with declines in well-being, particularly for external and prosocial functioning, while engagement in learning-oriented digital activities and gaming is associated with better adolescent outcomes. Yet, low-SES adolescents are globally more harmed than high-SES adolescents by their digital engagement, and high-SES adolescents benefit more from moderate levels of digital use and from engaging in learning-oriented digital activities.

Conclusions
This study suggests that digital engagement is associated with socioeconomic inequalities in adolescents’ socioemotional well-being and, to a lesser extent, educational outcomes.

Introduction
The aim of this paper was to examine the role of perinatal, obstetric and post partum factors on maternal and paternal stress. It will present the first examination of the role of prenatal, obstetric, post-partum, and demographic variables in parenting stress for mothers and fathers at 9 months.

Methods
Data from 6821 parental dyads of 9-month-old infants were extracted from the Growing Up in Ireland National Longitudinal Study of Children. Participants completed the Parental Stress Scale, the Dyadic Adjustment Scale, the Quality of Attachment Sub-scale from the Maternal and Paternal Postnatal Attachment Scales, and a single item health status question from the Short Form 12 Health Survey. Information on prenatal care, pregnancy complications, obstetric outcomes, infant health, and participant demographics were also collected. Separate hierarchical linear regressions were conducted for mothers and fathers

Results
Mothers reported higher levels of parenting stress than fathers (p < 0.001). Maternal parenting stress was predicted by attachment, own health status, average sleep, occupation, household income, and having a very rapid labor. Paternal parenting stress was predicted by attachment and own health status.

Discussion
A range of perinatal factors was associated with an increased risk of higher parenting stress at 9 months post-partum and the roles of these factors differ between mothers and fathers. These findings are important for predicting and reducing risk of parenting stress in both genders.

Keywords
Attachment, obstetric outcomes, parenting stress, prenatal, well-being

Introduction
The COVID-19 pandemic wrought acute harm to mental wellbeing across the globe; not least through its impact on morbidity and mortality, but also from health anxieties, lockdowns and their economic fallout, the closure of key services, as well as the disruption of social networks. However, while the pandemic’s onset was global, not everyone experienced the same harm to their mental health. This study draws on information on the mothers of 12-year-olds from the Growing Up in Ireland (GUI) study to look at what helped cushion the negative impact of the pandemic on their mental health.

Data and Methods
The study draws on GUI data on Cohort ’08, a nationally representative sample of children born 2007-2008 along with their caregivers. In December 2020, the GUI team conducted a survey of primary caregivers (98 per cent of whom are mothers) during the COVID-19 pandemic. Mothers’ mental health is captured using the Short-form Center for Epidemiological Studies Depression Scale (CES-D), with higher scores indicating a greater risk of depression. The longitudinal nature of GUI means we can compare measures of mothers’ mental health during the COVID-19 pandemic (December 2020) with two previous timepoints before the pandemic – wave 3 (2013/2014) and wave 5 (2017/2018) – to see whether trends in depression changed significantly over the pandemic.

The study looks at four sets of factors: (1) mothers’ social resources, such as the level of social cohesion in their neighbourhood (e.g., trust and reciprocity among neighbours) or the support they receive from friends/family; (2) their economic resources, such as the share of income received from welfare, or how difficult they feel it is to ‘make ends meet’; (3) the quality of mothers’ local environment, such as the degree of traffic problems; and (4) their religiosity, such as how often they attend church. All of these factors are measured prior to the onset of the pandemic to reflect the resources mothers had at their disposal going into the crisis.

To understand how these buffering factors may have cushioned mothers’ mental health, the study uses a set of measures on what experiences mothers had during the pandemic. These include whether they found supervising their child’s schoolwork stressful, whether they experienced a loss of income/employment, or whether they had COVID or were anxious about friends/family contracting it.

Results

What factors cushioned the impact of the pandemic on mothers’ mental health?

In the years prior to the pandemic (2013/2014 to 2017/2018), levels of depression among mothers remained relatively low and stable. However, depression scores among mothers rose steeply with the onset of the pandemic (compared to 2017/18), nearly doubling. Yet, not all mothers experienced an equal increase in depression scores.

Stronger economic resources, and better household conditions, played a protective role: depression scores rose less among mothers who reported being able to ‘financially make ends meet’ easily (compared to those who found it difficult) and among mothers who lived in less overcrowded housing. The local environments in which mothers were living also helped cushion their mental health. Mothers who lived in neighbourhoods where heavy traffic was not a problem, and those who lived in rural areas, saw their depression scores increase less over the pandemic, compared to mothers in more urban areas or where traffic was a major problem.

The strongest protective factors were mothers’ social resources and their religiosity. Mothers who, just before the pandemic, had a partner in the household and who felt they got the help they needed from friends and family saw their depression scores increase less over the pandemic. Those who reported living in more socially cohesive neighbourhoods (where neighbours trust each other, exchange favours, or feel more attached) – what are termed in the research literature as high social capital areas – were more strongly protected against depression during the pandemic. Symptoms of depression also increased much more steeply among mothers who never attended church before the pandemic compared to mothers who used to attend daily or weekly (even though in-person services had not resumed at the time of the survey).

How did these buffering factors protect mothers’ mental health?

Social resources cushioned mothers’ mental health because, during the pandemic, these mothers experienced better family relations and struggled less with care work, home schooling, and their children’s return to school. Economic resources supported mental wellbeing by reducing financial stresses, enabling better home/outdoor environments, and likely allowing families to purchase the tablets, laptops, and high-speed internet needed to engage in home schooling and working more easily. A better-quality local environment allowed mothers to spend more time outside and improved family relations. It was harder to explain the protective role of religiosity, but it may relate to greater optimism or a stronger sense of meaning in life that help protect people from the stress of adversity.

Conclusion and policy implications
This study finds strong evidence that the social, economic, religious, and environmental characteristics in people’s lives protect their mental health when experiencing adverse life events. While some of these characteristics are personal, others can be influenced by policy. Investment in local infrastructure to enhance access to green spaces and reduce neighbourhood disorder will pay dividends in supporting the mental wellbeing of women and their families. Furthermore, community development initiatives to foster a sense of local belonging and trust will enhance families’ capacity to weather crises. Integrating such perspectives into crisis management could help protect societies, particularly more vulnerable groups, and potentially weaken the well-documented long-term scarring effects that adverse life events have on people’s lives.

Objective
Childhood chronic illness can have a high impact on the child’s quality of life. The foundations of health are established in early life, and are shaped by biological, psychosocial, spiritual and environmental processes and influences. The objectives of this presentation are twofold: firstly to describe the prevalence of chronic illness in 9-year-olds in Ireland, secondly to illustrate how chronic illness influences the psychological and social development of the children.

Methods
Analysis was based on data of 8570 9-year old children, and their families who participated in Growing Up in Ireland—the National Longitudinal Study of Children. The sample was generated through the primary school system. A representative sample of 910 schools participated; the sample of children and their families was randomly selected from within the schools. Questionnaires were administered in schools; and after completion of this phase, the project interviewers visited the families of the 9-year olds in their homes and administered core questionnaires to the Study Child and his/her carers who provided either home-based or centre-based care on a regular basis.

Results
The overall prevalence of chronic illness reported by mothers among the 9-year old cohort was 11% (gender-specific prevalence for boys: 13%, and significantly lower for girls: 10%). Respiratory illnesses accounted for almost half (46%) of all chronic illnesses, followed by mental and behavioural conditions with 19% (high gender dysbalance: reported for boys in 24%, for girls in 12%). Children with a reported chronic illness had significantly more emotional, conduct, hyperactivity, peer-based and prosocial difficulties when compared with children without a reported chronic illness. Abnormal scores, based on the Strengths and Difficulties Questionnaire were found in 20% in children with a chronic disease, and in 5.5% in children without a chronic disease. Socio-economic Status was associated with poorer health outcomes. Furthermore, primary care givers’ views and perceptions regarding the chronic illness of the child were found to be a significant factor on child strengths and difficulties in a multivariate model.

Conclusions
The majority of 9-year old children can be assessed as healthy. The most common chronic illness in this large cohort was respiratory disease and overall, chronic conditions were found to have a negative impact on the child’s emotional and social state.

Objective
Early complementary feeding has been shown to increase the risk of overweight, obesity and chronic diseases later in life. Poor compliance with current guidelines on complementary feeding has been reported by Irish studies. The aim of the present paper is to identify predictors of early complementary feeding in order to help health professionals target population groups in greater need of dietary intervention as well as to provide effective advice.

Design
Cross-sectional analysis of the national, longitudinal Growing Up in Ireland study.

Setting
Data were derived from the first wave (2007–2008) of the Growing Up in Ireland infant cohort.

Subjects
A cohort of mothers (n 11 134) from the Republic of Ireland, interviewed when their infants were 9 months of age.

Results
Of the infants, 1469 (13·5 %) had been regularly taking solids in the period between 12 and 16 weeks; this percentage increased to 47·0 % of the sample in the period between 16 and 20 weeks. Timing of formula feeding commencement, high maternal BMI and choosing a relative as the infant’s minder were strongly associated with early introduction of solids both in bivariate and multivariate analysis. Those infants who started formula feeding at >4 months were 88·4% less likely to be introduced to solids early compared with those who started at <2 months (OR = 0·116; 95% CI 0·072, 0·186; P < 0·001).

Conclusions
The results demonstrate that biological, social and behavioural aspects exert an important role in infant feeding practices. These findings are relevant to the design of policies and intervention programmes aimed at educating parents.

Keywords
Complementary feeding, Infant’s diet, Early weaning

Objective
The purpose of this study was to examine the relationship between maternal obesity that is calculated 9 months after delivery and sociodemographic variables.

Study Design
A national cohort of mothers was sampled 9 months after delivery as part of the Growing Up in Ireland Study Infant Cohort. Sociodemographic and clinical details were recorded at the interview by trained fieldworkers who used validated questionnaires. Body mass index was calculated based on weight and height measurements at the postpartum interview. The unadjusted and adjusted odds of obesity were calculated for predictor variables with the use of logistic regression analysis.

Results
Of the 10,524 mothers whose cases were studied, the mean age was 31.6 ± 5.5 years, and the mean parity was 1.0 ± 1.1. The mean body mass index after delivery was 25.7 ± 5.4 kg/m2; 16.8% of the women (n = 1768) were obese. Postpartum maternal obesity levels were associated positively on univariable analyses with smoking, lower household income, African nationality, earlier completion of full-time education, gestational weight gain, lower breast-feeding duration, and increasing parity. On multivariable analysis, maternal obesity was associated with increasing parity in lower income households, but not in higher income households.

Conclusion
Public health interventions that are aimed at decreasing obesity levels after childbirth should prioritize women who are disadvantaged socioeconomically.

Keywords
maternal obesity, parity, postpartum weight

Objective
This paper examines the joint impact of maternal employment and childcare during infancy on childhood weight at ages three and five in the context of weak social support for early childhood care and education.

Method
Using three waves of longitudinal data from the Growing-Up in Ireland survey (n = 8,393 age three, n = 8,039 age five), propensity score matching is used to address the endogeneity of employment and childcare decisions. Selection on observables is used to assess potential bias arising from selection on unobservables whereby unobserved characteristics of the mother or child may jointly influence child weight and maternal employment and childcare.

Results
Full-time maternal employment at nine months combined with either formal or informal childcare increases the likelihood of being overweight at three years by 8.1% and 5.9% respectively, but only for children of highly educated mothers. Similar results are observed for part-time employment coupled with informal (7.5%) or parental (8.0%) care. The results for mothers with lower levels of education are either not significant or favourable. While the majority of the effects dissipate by age five, there is some evidence that full-time maternal employment coupled with informal care increases the risk of being overweight at both ages three and five for children of higher-educated mothers. An assessment of selection bias finds that the estimates of full-time employment combined with formal childcare by well-educated mothers are a lower bound, such that the true effect on child weight may be understated.

Conclusions
The findings for Ireland are consistent with studies from the United States and the United Kingdom, and are in contrast to findings from the rest of Europe, suggesting the role of institutional factors, such as the lack of subsidised, universal, high-quality childcare.