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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.

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.

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.

Background
Ireland has one of the lowest BF rates in the world. This study investigates the association between breastfeeding and infant health in Ireland.

Methods
A cross-sectional, secondary analysis of data collected from Growing Up in Ireland (GUI): the National Longitudinal Study of Children was conducted. The average morbidity for 2212.

infants exclusively breastfed for at least 90 days (EBF90days) was compared to data for 3987 infants in the non-breastfed (Non-BF) group. Data were weighted using entropy balancing to ensure the comparability of groups. Sensitivity analyses considered alternative definitions of the breastfeeding group.

Results
Infants who were EBF90days were significantly less likely to be admitted to hospital (CI: − 0.06 to − 0.03), spent less nights in hospital (CI: − 0.37 to − 0.11), and were less likely to develop respiratory diseases including asthma (CI: − 0.03 to − 0.01), chest infections (CI: − 0.12 to − 0.08), snuffles/common colds (CI: − 0.07 to − 0.02), ear infections (CI: − 0.08 to − 0.04), eczema (CI: − 0.08 to − 0.04), skin problems (CI: − 0.04 to − 0.00), wheezing or asthma (CI: − 0.06 to − 0.03), vomiting (CI: − 0.03 to − 0.00), and colic (CI: − 0.04 to − 0.01). Further outcomes such as current health of the infant at time of interview (CI: − 0.04 to − 0.00), feeding problems (CI: − 0.04 to − 0.02) and sleeping problems (CI: − 0.02 to − 0.00) indicated a protective effect of EBF90days versus Non-BF. However, these infants were also more likely to fail to gain weight (CI: 0.01 to 0.02) and were at a slightly higher risk of developing nappy rash (CI: 0.00 to 0.02).

Conclusion
Exclusive breastfeeding for 90+ days is associated with protection against childhood morbidity. Given the protective effect of breastfeeding on adverse health effects in infants, policy makers should prioritise policies that support, promote and protect exclusive breastfeeding.

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.

Aims
Multiple studies have connected parenting styles to children’s internalising and externalising mental health symptoms (MHS). However, it is not clear how different parenting styles are jointly influencing the development of children’s MHS over the course of childhood. Hence, the differential effects of parenting style on population heterogeneity in the joint developmental trajectories of children’s internalising and externalising MHS were examined.

Method
A community sample of 7507 young children (ages 3, 5 and 9) from the Growing Up in Ireland cohort study was derived for further analyses. Parallel-process linear growth curve and latent growth mixture modelling were deployed.

Results
The results indicated that the linear growth model was a good approximation of children’s MHS development (CFI = 0.99, RMSEA = 0.03). The growth mixture modelling revealed three classes of joint internalising and externalising MHS trajectories (VLMR = 92.51, p < 0.01; LMR = 682.19, p < 0.01; E = 0.86). The majority of the children (83.49%) belonged to a low-risk class best described by a decreasing trajectory of externalising symptoms and a flat low trajectory of internalising MHS. In total, 10.07% of the children belonged to a high-risk class described by high internalising and externalising MHS trajectories, whereas 6.43% of the children were probable members of a mild-risk class with slightly improving yet still elevated trajectories of MHS. Adjusting for socio-demographics, child and parental health, multinomial logistic regressions indicated that hostile parenting was a risk factor for membership in the high-risk (OR = 1.47, 95% CI 1.18–1.85) and mild-risk (OR = 1.57, 95% CI 1.21–2.04) classes. Consistent (OR = 0.75, 95% CI 0.62–0.90) parenting style was a protective factor only against membership in the mild-risk class.

Conclusions
In short, the findings suggest that a non-negligible proportion of the child population is susceptible to being at high risk for developing MHS. Moreover, a smaller proportion of children was improving but still displayed high symptoms of MHS (mild-risk). Furthermore, hostile parenting style is a substantial risk factor for increments in child MHS, whereas consistent parenting can serve as a protective factor in cases of mild-risk. Evidence-based parent training/management programmes may be needed to reduce the risk of developing MHS.

Keywords
Externalising symptoms, internalising symptoms, mental health, parenting styles

A small minority of Irish students attend fee-charging second-level schools. However, media analyses of the backgrounds of those students who go on to more sought-after tertiary educational institutions or degree courses suggest that a disproportionate number of them were attendees at fee-charging schools. There are a few reasons why this might be the case. In this analysis, the longitudinal data points of the Growing Up in Ireland (GUI) study are exploited to weigh up the evidence behind differing explanations. An estimated measure of Leaving Certificate success was generated for 3105 participants in wave 4 of the GUI. From waves 1 and 2, the ability of those participants was calculated based on their performance in several standardised tests taken prior to attending second-level school. The analysis found that while the students who attended fee-charging schools were about 9% ahead in Leaving Certificate performance, they had roughly the same lead in measured ability on entry into the second-level schools. The analysis found a significant but marginal positive effect on attending private schools. This result is in line with the general international findings. Ireland’s hybrid funding structure for fee-paying schools is discussed. Gender and household income effects were noted.

Keywords
Longitudinal data, non-state schools, ability, exam performance, school value added

While research has investigated the effects of the Great Recession on the Irish economy using economic indicators or cross-sectional household-level data, this research note applies group-based multitrajectory modelling to provide a more nuanced approach. Using nationally representative, longitudinal data from the Growing Up in Ireland study, we analyse patterns in three common measures of economic well-being (financial strain; disposable income; material deprivation) across Irish households in the period leading up to, during and after the Great Recession, and subsequently, break down the characteristics for each group of trajectories. We identify six distinct trajectory clusters, which all indicate declining income and increasing financial strain from the start to the height of the economic depression. However, trajectory groupings show that experiences were far from uniform, with previous economic well-being and demographic characteristics shaping the household experience. Implications for future research are discussed.

Background
Children with a parent who smokes are more likely to become substance users than those who do not have a parent who smokes. In this study, we examined whether childhood or early adolescent exposure to primary parent smoking increased the risk of subsequent teenage alcohol and drug use at ages 17–18 years.

Methods
For this longitudinal observational study, we analysed data from 6039 teenagers and their parents from the waves 1–3 of the Growing up in Ireland Cohort 98’ Study. Parental smoking was assessed at baseline (9 years) and wave 2 (13 years) with responses coded as yes or no. The primary parent was defined as the person who provided most care and who knew most about the Study Child, usually the mother or mother figure for 98% of study participants. Teenage alcohol and drug use assessed at ages 17–18 years (wave 3) was determined by responses to the question “Have you ever consumed alcohol?” (answers yes or no), drug use was assessed by questions on ever trying aerosols/gas, cannabis, and non-prescribed drugs, with those answering yes being classified as other-drug ever users. We did a logistic regression analysis to examine the associations between parents’ smoking on teenage alcohol and drug use, controlling for covariates: gender, education, income, education, region, and household type. Ethics approval for the GUI project was obtained from the Health Research Board.

Findings
Of the 6039 teenagers included in our study, 2968 (49%) were female, 3070 (51%) were male, 5351 (89%) ever used alcohol, 5065 (85%) were current users, and 2098 (35%) used other drugs. Rates of primary parent smoking were 31% (n=1883) in wave 1 and 30% (n=1829) in wave 2. After adjusting for other exposures known to be associated with teenage substance use, primary parent smoking at waves 1 and 2 was associated with higher odds of teenage alcohol ever use (adjusted odds ratios [aORs] 1·89 [95% CI 1·44–-2·46] at wave 1 and 1·53 [1·20–1·98] at wave 2), current alcohol use (1·88 [1·50–2·36] and 1·59 [1·28–1·97]) and other-drug ever use (1·699 [1·45–1·95] and 1·71 [1·47–1·98]).

Interpretation
Teenagers aged 17–18 years exposed at ages 9 and 13 years to parental smoking were more likely to report significantly higher odds of alcohol and drug use at age 17–18 years. The finding that exposure to parent smoking in childhood increases the risk of teenage alcohol and other drug use suggests a need for interventions aimed at parents who smoke Limitations include potential unmeasured or residual confounders and reliance on self-reported teenage substance use behaviours.

Funding
Royal City of Dublin Hospital Trust, Irish Research Council Government of Ireland Postgraduate Scholarship Programme.