External Publications Using GUI Data

Although children’s relationships with their parents and teachers contribute to their school adjustment and achievement, few studies have examined interactions between these relationships, particularly for father-child relationships. Using the Growing Up in Ireland birth cohort (N = 7507, 50.3% male), we examined child-adult relationship quality – rated by parents at age 3 and by teachers at age 5 – as predictors of teacher-rated behavioural adjustment and academic achievement at age 9 (indexed by self-reported academic self-concepts and performance on formal reading assessments). Controlling for prior levels of problem behaviours, verbal ability, and family SES, our results indicated that children’s relationships with parents and teachers showed small and comparable independent effects on school adjustment and achievement. For mothers and teachers, moderation analyses showed a cumulative risk pattern for conflictual relationships and a compensatory pattern for close relationships. Children are likely to benefit from improving closeness and reducing conflict in adult-child relationships as well as interventions that involve mothers, fathers, and teachers.

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 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
Self-harm is a major public health concern in young people and is governed by a complex interaction of different risk factors. While many studies have identified these risk factors, less is known about how they tend to co-occur together.

Methods
A latent class analysis was conducted using risk factors for self-harm from two waves at ages 13 and 17 from the Growing Up in Ireland (GUI) study their associations with self-harm were examined longitudinally at ages 17 and 20, respectively.

Results
At age 13, there was a ‘peer problems’ group with higher probabilities of bullying, being unpopular and internalising problems and a ‘school and substance use problems’ group with higher probabilities of substance use, truancy or excessive absence from school and violence. Both of these two groups had over a two-fold risk of self-harm at age 17 in comparison to the low risk factor group. At age 17, there was a group with depression that was diagnosed by a medical professional with the highest relative risk (RR:13.9 (95 % CI 10.2–19.0)) of self-harm at age 20. Two other groups with undiagnosed depression had high probabilities of being bullied, and either high or low probabilities of substance use that had a 9.4 (95 % CI 6.8–13.1) and 7.4 (95 % CI 5.5–10.0) relative risk of self-harm at age 20, respectively.

Conclusions
Identifying hidden sub-groups using risk factors for self-harm in young people can inform potential public health interventions by clinicians and other professionals who work with young people.

This study examined the role of neighbourhood characteristics in explaining socioeconomic inequalities in child mental health (the total difficulties score from the Strengths and Difficulties Questionnaire) using data from Cohort ’08 of Growing Up in Ireland Waves 3 (age 5; baseline) and 5 (age 9; follow-up). Twenty neighbourhood items were grouped into neighbourhood safety, built environments, cohesion, interaction, and disorder. Data were analysed using regression, single and multiple mediation, and network psychometric analyses. We found that neighbourhood safety, cohesion, interaction, and disorder were associated with child mental health. These four domains separately (by up to 18 %) or in concert (by up to 23 %) partially explained socioeconomic inequalities in child mental health. Built environments may explain socioeconomic inequalities in mental health in urban children only. Findings from network analysis indicated that specific concerns over “people being drunk or taking drugs in public” and “this is a safe neighbourhood” had the strongest connections with child mental health. Improving neighbourhood characteristics may be important to reduce socioeconomic inequalities in child mental health in Ireland.

Purpose
The aim of this study is to examine the association between household energy poverty (EP) and trajectories of emotional and behavioural difficulties during childhood.

Methods
The Growing up in Ireland study is two nationally representative prospective cohorts of children. The Infant Cohort (n = 11,134) were recruited at age 9 months (9 m) and followed up at 3, 5, 7 and 9 years (y). The Child Cohort (n = 8,538) were recruited at age 9 y and followed up at 13 y and 17/18 y. EP was a composite of two relative measures of EP. Emotional and behavioural difficulties were repeatedly measured using the strengths and difficulties questionnaire (SDQ). Linear spline multilevel models were used, adjusted for confounders to examine the association between (1) EP (9 m or 3 y) and trajectories of emotional and behavioural difficulties from 3 to 9 y in the Infant Cohort and (2) EP at 9 y and the same trajectories from 9 to 18 y in the Child Cohort.

Results
In adjusted analyses, EP at 9 m or 3 y of age was associated with higher total difficulties score at 3 y (0.66, 95% CI 0.41, 0.91) and 5 y (0.77, 95% CI 0.48, 1.05) but not at 7 y or 9 y. EP at 9 y was associated with higher total difficulties score at 9 y (1.73, 95% CI 1.28, 2.18), with this difference reducing over time leading to 0.68 (95% CI 0.19, 1.17) at 17/18 y.

Conclusions
Our study demonstrates a potential association between early life EP and emotional and behavioural difficulties that may be transient and attenuate over time during childhood. Further studies are required to replicate these findings and to better understand if these associations are causal.

Background
The Covid pandemic arrived in Ireland on February 29, 2020. In the following weeks various restrictions were introduced to stem the spread of the disease. Anxiety over the spread of the disease and over the restrictions introduced had an adverse effect upon mental health. This study examines the change in mental health for two groups: young adults aged around 23 at the time of onset of Covid (the 1998 cohort) and a sample of principal carers (PCs) of children who were aged 13 at the onset of Covid (the 2008 cohort).

Methods
Data were obtained from the two cohorts of the longitudinal Growing Up In Ireland (GUI) survey. The sample included 1953 young adults (from the 1998 cohort) and 3547 principal carers (from the 2008 cohort). Mental health as measured by the Centre for Epidemiological Studies Depression—8 scale was obtained for the last pre-Covid wave and for the Covid wave (surveyed in December 2020). Observations for which CES-D8 was not available in either pre or post Covid waves were excluded. Post-Covid sampling weights were applied. The change in depression rates was decomposed into a growth and distribution effect using a Shapley decomposition. The socioeconomic gradient of CES-D8 was examined pre and post Covid using concentration indices and a transition matrix was constructed to examine the dynamics of changes in CES-D8 and depression pre and post-Covid.

Results
Relative to the last pre-Covid survey, mental health, as measured by CES-D8 deteriorated for both the young adults of the 1998 cohort and the PCs of the 2008 cohort. For young adults, the deterioration was more pronounced for females. There was no observable socioeconomic gradient for poor mental health amongst young adults, both pre and post Covid. For mothers from the 2008 cohort, a gradient was observed during the pre-COVID-19 pandemic period with poorer mental health status for lower-income and less educated mothers. This gradient was less pronounced post-Covid, the levelling-off arising from a greater deterioration in mental health for higher-income and better-educated PCs.

Conclusion
Both observed cohorts showed a significant deterioration in mental health post Covid. For young adults the effect was significantly more pronounced among females and this is consistent with generally poorer mental health amongst females in this age group. There was little or no socioeconomic gradient observed for young adults, but the gradient became more shallow for principal carers. Care must be taken in terms of drawing policy implications from this study as the Covid-19 pandemic was arguably a unique event, even allowing for the likelihood of future pandemics. However, the study highlights the vulnerability of young adults, especially females, to the mental health effects arising from major public health shocks.

This report draws on the Growing Up in Ireland (GUI) study to look at pornography use among over 4,500 young adults at 20 years of age. Pornography use was captured as part of a module of questions on different types of internet use. The rich information provided by the GUI study allows us to explore the potential influence of a range of factors on pornography use and to examine the way use is related to key aspects of wellbeing and sexual behaviour among young adults. Pornography use is found to be highly gendered, with 64 per cent of young men and 13 per cent of young women reporting use. For this reason, analyses in the report look separately at the factors for young women and men.

The Irish education system is undergoing significant change as it navigates the challenges of the 2020s. Schools are at the frontline of Ireland’s efforts to integrate migrant families, build an inclusive society and tackle generational socioeconomic inequality. They are also, increasingly, key sites of contestation over deep social questions like the place of faith and secularism in public institutions and the best path to ensuring young people thrive, regardless of their gender or sexual orientation. While many of these challenges resonate across the second-level sector as all schools grapple with the difficulties and opportunities of educating young adults in today’s Ireland, the focus of this report is on the voluntary secondary school sector. The report presents rich evidence from a mixed-method research study across 21 voluntary secondary schools. The research was commissioned by the Joint Managerial Body for Voluntary Secondary Schools (JMB), with the research questions designed to examine the features and experiences of students, teachers and school leaders across the voluntary sector. However, the study allows for comparisons between experiences in voluntary secondary schools and other sectors. In particular, the survey of students undertaken in this study is compared to the nationally representative longitudinal study Growing Up in Ireland (GUI) and the International Student Assessment (PISA study) on 15 year olds in Ireland and across the European Union (EU). This approach allows for a deep exploration of the voluntary secondary sector, while also placing experiences in a national and international context.

Care is fundamental to the fabric of social relationships and a significant proportion of the adult population is engaged in regular care for children and/or adults with illnesses or disabilities. Increasing attention internationally is being paid to the role of young carers (those under 18) and young adult carers (usually 18–25 years of age). However, much of the research conducted has been cross-sectional in nature and has focused on care for those with illnesses, rather than the full spectrum of care for others. This report draws on rich data on over 4,000 young people from Cohort ’98 of the Growing Up in Ireland (GUI) study to take a longitudinal perspective, documenting the profile of young adult carers at 17 and 20 years of age and exploring the implications of such caregiving for their wellbeing, relationships and educational pathways.

In this study, we address the following research questions:

1. What is the profile of young adult carers, in terms of gender,social background, family size and structure, migrant status, urban/rural location, and own and parental illness/disability? To whom do they provide care and how much time do they allocate to caregiving?

2. What factors predict young people’s caring at ages 17 and 20?

3. How are care responsibilities associated with young people’s wellbeing, physical health and family relationships?

4. How are care responsibilities at age 17 associated with the post-school pathway pursued at age 20 (higher education, further education and labour market entry), controlling for other factors?

Does a care role constrain postschool choices, either directly through ongoing involvement in care, or indirectly via a potential effect on academic performance?

Background:
Regulatory problems in infancy are associated with internalizing and externalizing symptom trajectories across childhood. It is unknown whether early screen media exposure exacerbates the association between infant regulatory problems and childhood internalizing and externalizing symptom trajectories.

Methods:
We studied 10,170 individuals from the Growing Up in Ireland ’08 cohort. Parents reported on their children’s regulatory problems at 9 months, screen media exposure at 3 years, and internalizing and externalizing symptoms at 3, 5, 7, and 9 years. Children were categorized based on their patterns of co-developing internalizing and externalizing symptoms using parallel process latent class growth analysis. Subsequently, multinominal logistic regression analyses were conducted to estimate whether screen media exposure (&gt;1 hour or &gt;2 hours) moderated the association between regulatory problems in infancy and co-developing internalizing and externalizing symptom classes across childhood.

Results:
There were four groups of children with distinct patterns of co-developing internalizing and externalizing symptoms: 1) low stable internalizing and low decreasing externalizing symptoms (N= 6236; 61.3%); 2) low stable internalizing and moderate stable externalizing symptoms (N= 2029; 20%); 3) moderate increasing internalizing and moderate decreasing externalizing symptoms (N= 1263; 12.4%); 4) moderate increasing internalizing and high increasing externalizing symptoms (N= 642; 6.3%). Presence of regulatory problems at 9 months and excessive screen media exposure at 3 years (particularly &gt;2 hours) were independently associated with increased likelihood of all classes. Excessive screen media exposure at 3 years did not significantly moderate the association between regulatory problems at 9 months and internalizing and externalizing symptom trajectories.

Conclusions:
Both regulatory problems in infancy and screen media exposure &gt;2 hours in early childhood are early risk factors for the development of internalizing and externalizing symptoms. However, the association between infant regulatory problems and childhood internalizing and externalizing symptoms appears to operate independently of excessive screen media exposure. Clinicians should be aware of, and treat, regulatory problems in infancy to prevent chronic patterns of self-regulatory problems across childhood. Further, they should discuss and advocate for family media plans with parents to help decrease the long-term negative effects on internalizing and externalizing symptoms.

This paper assesses the role of shadow education (SE), i.e., organised learning activities outside formal schooling, in the lives of secondary school students of different social backgrounds and in different school settings, in a high-stakes context. It draws on multilevel analysis of longitudinal Growing Up in Ireland data, alongside narratives from in-depth case study research in 10 schools. Framed within a social reproduction approach, we show how access to SE as an educational resource is socially stratified, accessible to those with greater levels of family resources, and those attending schools with higher socio-economic student intakes. SE is viewed as an investment, particularly among students with average and above average levels of prior attainment, while high attaining students are less likely to use SE. Perhaps reflecting the normalisation of SE in the Irish context, students do not directly link engagement in such tuition to their socio-emotional wellbeing.

The microbiome-gut-brain axis plays a role in anxiety, the stress response and social development, and is of growing interest in neuropsychiatric conditions. The gut microbiota shows compositional alterations in a variety of psychiatric disorders including depression, generalised anxiety disorder (GAD), autism spectrum disorder (ASD) and schizophrenia but studies investigating the gut microbiome in social anxiety disorder (SAD) are very limited. Using whole-genome shotgun analysis of 49 faecal samples (31 cases and 18 sex- and age-matched controls), we analysed compositional and functional differences in the gut microbiome of patients with SAD in comparison to healthy controls. Overall microbiota composition, as measured by beta-diversity, was found to be different between the SAD and control groups and several taxonomic differences were seen at a genus- and species-level. The relative abundance of the genera Anaeromassillibacillus and Gordonibacter were elevated in SAD, while Parasuterella was enriched in healthy controls. At a species-level, Anaeromassilibacillus sp An250 was found to be more abundant in SAD patients while Parasutterella excrementihominis was higher in controls. No differences were seen in alpha diversity. In relation to functional differences, the gut metabolic module ‘aspartate degradation I’ was elevated in SAD patients. In conclusion, the gut microbiome of patients with SAD differs in composition and function to that of healthy controls. Larger, longitudinal studies are warranted to validate these preliminary results and explore the clinical implications of these microbiome changes.

While problems in the housing system in Ireland have been under the spotlight for the last decade, relatively little attention has been paid to the experience of children and to the consequences of housing issues for child development. International research has highlighted a range of effects of poor housing on children. Poor physical housing conditions has been associated with respiratory illnesses and childhood accidents. Overcrowding has been linked to poorer educational outcomes and deprived neighbourhood conditions to socio-emotional problems. Frequent residential mobility has also been found to lead to poorer cognitive and non-cognitive outcomes. However, there is a lack of evidence on how far these findings apply in Ireland where levels of home ownership are high and levels of neighbourhood segregation are lower. This study addresses this gap. Drawing on data from the ’08 Cohort of the Growing Up in Ireland study, we explore the housing conditions faced by children in early and middle childhood and the implications of these housing experiences for their cognitive, socio-emotional and health outcomes. We adopt a multi-dimensional approach to measuring housing conditions, incorporating housing tenure, suitability of accommodation, heating deprivation, neighbourhood disorder and housing mobility.

For the first time, data on children and adolescents with disabilities in Ireland are reported based on the Active Healthy Kids Global Alliance Para Report Card methodology. The most recent data from the last 10 years were used in the grading process (A+ to F), and indicators with insufficient data were graded as incomplete. Of the 10 indicators from the Global Matrix Para Report Cards, grades were assigned to Overall Physical Activity (F), Organized Sport (D), Active Transport (D−), Sedentary Behaviors (D−), Family & Peers (C), School (C−), Community & Environment (B−), and Government (B). Irish disability sport organizations were invited to assess the research-led audit and provided commentary around the final grading. The contextual discussion of the grades is presented through the lens of strengths, weaknesses, opportunities, and threats with the purpose being to provide direction for the reduction of physical activity disparities among children with disabilities.

Self-harm in adolescents and young adults (AYAs) is the result of a complex interaction of biological, psychiatric, psychological, social, and cultural risk factors. A lot of research has already been conducted to identify the risk factors for self-harm in AYAs. On the other hand, there has been less research conducted on the simultaneous effects of, and the interactions between, multiple risk factors for self-harm in heterogeneous AYA individuals. In this study, we conducted a latent class analysis (LCA) of three waves from the Growing Up in Ireland (GUI) longitudinal cohort study at ages 13, 17 and 20 to identify homogenous subgroups of AYA individuals who exhibit similar risk markers for self-harm at these three time points. Then, we evaluated the risk that these subgroups ever self-harmed by age 17, self-harmed at age 20, or were persistently self-harming across both time points. The most at-risk group appeared to be the individuals aged 17 who had been diagnosed with depression/anxiety. Compared to the low-risk-marker group, the ‘diagnosed with depression/anxiety’ group had a 30-fold risk of self-harm at age 17, and 32-fold risk of persistently self-harming by age 20. The ‘undiagnosed but high depression’ group at this time point was also at significant risk of self-harm. This research enables us to understand which risk markers tend to co-occur together and will help to identify high-risk groups for self-harm both clinically and in the community. An investigation of risk markers like this can potentially be used in the design of public health interventions to reduce the burden of self-harm, and indeed suicide, in young people.

Key messages

• We identified sub-groups of young people with a high-risk of self-harm and suicide from the general population.

• These identifiable sub-groups can inform intervention policies and strategies for prevention programmes both in clinical and non-clinical settings like schools.

We analyse parental smoking and cessation (quitting) associations with teenager e-cigarette, alcohol, tobacco smoking and other drug use, and explore parental smoking as a mechanism for social reproduction. We use data from Waves 1–3 of Growing Up in Ireland (Cohort ’98). Our analytic sample consisted of n = 6,039 participants reporting in all 3 Waves. Data were collected in Waves 1 and 2 when the children were 9 and 13 years old and in Wave 3 at age 17/18 years. Generalized Estimating Equations (GEE) models were used to analyse teenage substance use at Wave 3. Parental smoking was associated with significantly increased risk of all teenage substance use, adjusted odds ratios were aOR2.13 (ever e-cigarette use); aOR1.92 (ever alcohol use); aOR1.88 (current alcohol use); aOR1.90 (ever use of other drugs); aOR2.10 (ever-smoking); and aOR1.91 (current smoking). Primary caregiver smoking cessation (quitting) was associated with a lower risk for teenager current smoking aOR0.62, ever e-cigarette use aOR 0.65 and other drug use aOR 0.57. Primary caregiver smoking behaviour had greater associations than secondary, and age13 exposure more than age 9. Habitus seems to play a role and wealth was protective for teenage smoking. The findings suggest that prevention interventions should target both caregivers and their children.

What does young adulthood look like for individuals who had mental health problems across childhood? Using the Growing Up in Ireland cohort (born in 1998 and studied from ages 9 to 20) we explored the association between mental health problems between ages 9 and 13, and subsequent poor outcomes in the same individuals at ages 17-20. We consider educational/economic outcomes, health service use, poor mental and physical health, social isolation, substance abuse, and subjective wellbeing in young adults. In a previous study that used latent class modelling, we identified four groups which captured mental health in a general population sample of children. Between ages 9 and 13, children could be grouped into: a low symptoms group (∼65%), an ‘externalising’ group with ADHD or conduct symptoms (∼20%), an ‘internalising’ group with depressive, anxiety or peer issues (∼10%), or a group showing many combined mental health symptoms (∼2%). All mental health problem groups had elevated odds across all 7 adverse outcomes in young adulthood. The 5 areas of young adult functioning most related to childhood mental health were: education/economics, subjective wellbeing, mental health, social isolation and substance abuse. Poor educational/economic outcomes were as likely as poor mental health (OR ∼ 2) in individuals with childhood psychopathology. The 3 childhood problem groups showed different risk profiles in young adulthood. For instance, the childhood internalising group had lower odds of substance abuse than all other groups, but had the highest odds of poor physical health by adulthood. Findings point to the need for a wider range of preventative supports for children and adolescents with a history of mental health problems, beyond just mental health support. These include interventions to improve physical health, treat substance abuse, reduce social isolation, and improve adverse educational and economic outcomes.