External Publications Using GUI Data

None of the many critical moments in Ireland’s often tumultuous history was more significant or defining than the Easter Rising of 1916. Central to the Rising was the Proclamation of Independence, in which Pádraig Pearse declared the new nation’s resolve to cherish all its children equally. CHERISHING ALL THE CHILDREN EQUALLY? brings together contributions from a range of disciplines to shed light on the processes of child development and to investigate how that development is influenced by a variety of demographic, family and socio-economic factors. Making extensive use of research and data that have emerged over recent years from the Growing Up in Ireland longitudinal study of children, the book considers whether or not all children can participate fully and equitably in contemporary Irish society. It asks whether or not we do, in fact, cherish all our children equally in modern Ireland, regardless of their family circumstances, health or ethnic background.

TABLES OF CONTENTS:

1. Introduction
2. Changing Perceptions and Experiences of Childhood, 1916-2016
3. Children and Families, Then & Now
4. Is Family Structure a Source of Inequality in Children’s Lives?
5. Parental Investment & Child Development
6. Inequalities in Access to Early Care and Education in Ireland
7. Inequalities from the Start? Children’s Integration into Primary School
8. Insights into the Prevalence of Special Educational Needs
9. The Experiences of Migrant Children in Ireland
10. Social Variation in Child Health & Development: A Life-course Approach
11. Child Access to GP Services in Ireland: Do User Fees Matter?
12. Anti-Social Behaviour at Age 13
13. Child Economic Vulnerability Dynamics in the Recession
14. Concluding Observations

This study investigates the relationship between multidimensional household poverty and cognitive and behavioural development during the formative years of childhood (from 9 months to 9 years), using nationally representative longitudinal data from Ireland for the cohort of children born in 2007-2008. The results indicate substantial inequalities in Irish children’s cognitive and behavioural outcomes at age 9 by multidimensional poverty duration. Children with at least one spell in poverty (out of four interviews) have worse cognitive and behavioural outcomes. Dynamic structural equation models provide evidence in support of a hybrid family investment/family stress model. Although family investment processes account for some of the cumulative effects of childhood poverty on cognitive outcomes, family stress processes help explain the links between poverty and both cognitive and behaviour outcomes in early childhood. Overall, poverty is strongly related to child outcomes over time via the direct effects of current poverty on child outcomes and path dependency in both poverty and child outcomes over time. There are also indirect effects via the two child outcomes reinforcing each other as children grow older (with the effects of behaviour problems dominating those of cognitive ability), even as the parental investment and maternal stress pathways become less pronounced.

Keywords
Early childhood, child poverty, cognitive ability, behaviour problems, growing up in Ireland

The study examines whether and why parental job loss may stifle early child development, relying on cohort data from the population of children born in Ireland in 2007–2008 (N = 6,303) and followed around the time of the Great Recession (2008–2013). A novel approach to mediation analysis is deployed, testing expectations from models of family investment and family stress.

Parental job loss exacerbates problem behavior at ages 3 and 5 (.05–.08 SDs), via the channels of parental income and maternal negative parenting. By depressing parental income, job loss also hampers children’s verbal ability at age 3 (.03 SDs). This is tied to reduced affordability of formal childcare, highlighting a policy lever that might tame the intergenerational toll of job loss.

The incidence of adiposity in the early years of life has outgrown the prevalence in older children and adolescents globally; however, the factors influencing weight gain are predominantly studied in adults. This study examines the relationship between changing economic conditions during the Irish recession and child weight in a nationally representative sample of 10,011 Irish children studied at 9 months, 3 years and 5 years old. This study is the first to use longitudinal anthropometric measurements to estimate the impact of direct parental unemployment on children’s weight. Fixed effect logistic regression is used to examine the effects of parental unemployment on weight using the Growing up in Ireland infant cohort from 2008 to 2013. Weight and length/height measured by trained interviewers and child growth charts are used to quantify children’s weight status according to BMI-for-age and weight-for-age measures. For BMI-for-age, the probability of a child being classified as overweight/obese is 8 percentage points higher if either parent experiences unemployment. A sensitivity analysis of weight-for-age indicates that the probability is of similar magnitude across several alternative growth charts and definitions of adiposity (the WHO standard, British Growth Reference, and Centers for Disease Control). The analysis is repeated, cross-sectionally, for physical activity and diet to clarify mechanisms of effect. The probability of a child consuming healthy food and physical activity with an implied cost is lower if either parent becomes unemployed. A focus on overweight/obesity in the early years is of crucial importance as if current trends are not addressed, a generation of children may grow up with a higher level of chronic disease.

Several approaches frame childbirth as an event that can reduce partnership quality, generate work-family conflicts, intensify financial pressures, and increase separation risk. The present study discusses theories of separation in relation to pregnancy intentions leading to a birth and analyses data from Growing Up in Ireland. Transition rate models of parental separation nine months to five years after childbirth show higher risks of separation after pregnancies described as “somewhat too early”, “much too early” and after “unwanted” pregnancies. These differences are due partly to sociodemographic factors that influence unplanned pregnancies and subsequent separation. Increases in workfamily conflicts after birth do not increase separation risk.

This study reports recent trends in periconceptional folic acid use in Ireland using archived data from Growing Up in Ireland – the National Longitudinal Study of Children. Of a sample of 10,891 mothers, 6,936 (64%) reported taking folic acid before conception and 10,157 (93%) reported taking folic acid during the first trimester of pregnancy. Younger (OR=0.38, 95% CI=0.29-0.50), lower income (OR=0.59, 95% CI=0.51-0.68), lower educated (OR=0.77, 95% CI=0.66-0.89), and single mothers (OR=0.46, 95% CI=0.40-0.52) were less likely to have taken folic acid pre-conception. A similar pattern was found post-conception with younger (OR=0.58, 95% CI=0.40-0.84), lower income (OR=0.40, 95% CI=0.30-0.53), lower educated (OR=0.50, 95% CI=0.38-0.66), and single mothers (OR=0.74, 95% CI=0.60-0.91) less likely to have taken folic acid post-conception. The findings highlight an ongoing need for targeted promotional campaigns to increase supplementation rates among younger and socially disadvantaged mothers.

A growing number of international studies document the importance of regular school attendance. There is a consensus among authors that absenteeism has negative implications for academic achievement as well as the social development of the child and may put them at a disadvantage in terms of their position in the education and labour market. Most of the existing studies have focused on school absenteeism among adolescents with studies on poor school attendance among young children relatively rare. This paper addresses this gap in research by exploring factors that are related to school absenteeism in Irish primary schools. Drawing on a nationally representative study of nine-year-olds, it demonstrates the complexity of the issue. The findings indicate that a combination of institutional and individual factors shape patterns of poor school attendance in Irish primary schools. While the data relate to the Irish situation, the paper raises a number of issues of interest to an international audience.

Keywords
school absenteeism, primary schools, national survey, Ireland

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.

To date, studies using cross-sectional methodologies make up a majority of the literature surrounding children with autism spectrum disorders and participation in physical activity and screen time. Longitudinal studies are needed to examine how physical activity and screen time behaviors co-develop for children with and without an autism spectrum disorder. To address this research gap, this study compared how physical activity and screen time levels changed over time (9 to 18 years of age) between youth with autism spectrum disorder and youth with neurotypical development. Data on the levels of moderate-to-vigorous physical activity, light physical activity, television-, and video game-based screen time, collected as a part of the “Growing up in Ireland” study, were compared between youth with autism spectrum disorder and a propensity-matched sample of youth with neurotypical development (n = 88 per group; 176 in total). Robust regression analyses indicated that children with autism spectrum disorder became less active over time compared to children with neurotypical development and that video game screen time also differed significantly between the groups when children were 9 years old. These findings elucidate important disparities present between these groups of children during pivotal developmental times.

Background
Physical activity (PA) can reduce young peoples’ risk of depressive symptoms. Associations between PA and depressive symptoms are often investigated over timeframes spanning minutes to weeks. Less is known about whether childhood/adolescent PA can predict depressive symptoms in early adulthood.

Methods
Using a nationally representative sample from Ireland, latent growth mixture modelling was performed to investigate the extent to which different PA trajectories existed from ages 9–17, whether gender, weight status, and socio-economic deprivation at age 9, predicted PA trajectories from ages 9–17, and whether trajectory class membership predicted depressive symptoms at age 20.

Results
A 4-class solution was the best fit to the data (AIC = 52 175.69; BIC = 52 302.69; ssaBIC = 52 245.49; entropy = 1.00). Classes were labelled according to their baseline PA and slope of their trajectory: ‘High-Decreasers’; ‘Moderate-Decreasers’; ‘Moderate-Stable’; and ‘Low-Increasers’. A negative linear association existed between activity trajectory and the likelihood class members were female, overweight or socioeconomically deprived at age 9. The most active class (High-Decreasers) were significantly less likely to report depressive symptoms at age 20 than other classes.

Conclusions
Multiple PA trajectories exist throughout childhood and adolescence although differences in PA levels reduced over time. The most/least active children continued to be the most/least active throughout adolescence. Those most active were least at risk of depressive symptoms in early adulthood. Being female, overweight or experiencing deprivation at age 9 were all risk factors for inactivity throughout adolescence. Findings have implications for public health and PA promotion in young people

Worldwide, children do not meet the recommended guidelines for physical activity (PA) and a unified approach is required to increase children’s engagement in PA. Parents, are increasingly regarded as playing a key role in children’s PA behaviours. Physical activity parenting (PAP) is growing as a research field and refers to parental behaviours intended to influence children’s investment in PA. Using the perspectives of both parent and child, this research aims to identify PAP practices (positive and negative) engaged by Irish parents and to examine how PAP is embedded within a socioecological context. A purposive sample of 116 families in Ireland were included in the study. Families were stratified by social class, location, and family structure. Parents and children were interviewed and a secondary analysis of the interview data was completed. A theoretical model and conceptual framework relating to PAP guided data analysis to identify and understand parenting practices that influence children’s PA behaviour. Data was deductively analysed and key findings indicated that PAP practices of encouragement, involvement, and facilitation were positively associated with children’s engagement in structured sport activities. Co-participation was positively associated with children’s participation in unstructured PA. Mothers and fathers differed in their PA roles, with fathers engaged to a greater extent in involvement parental practices. Children from middle and higher socio-economic class families participated in a greater repertoire of structured PA and benefited from a greater diversity of PAP practices. Family context (social class, structure, size), community resources and organisational factors mediated the presence of PAP practices. Parents’ PA attributes and parents perceptions of PA attributes were less important influencers. Successful and effective engagement of parents in PA interventions is dependent on consideration of the various social contexts that are embedded in families.

Keywords
Physical activity parenting, physical activity, sport, children, social context

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.

In the current study, we investigated the developmental dynamics between positive youth development, being bullied in adolescence, gender, and sociocultural risk factors. Participants were 3,509 males (49%) and 3,656 females (51%) studied longitudinally across the ages of 9, 13, and 17 years in the Growing Up in Ireland study. Using structural equation modeling, we discovered that being bullied in early adolescence was most strongly predicted by having fewer close friends, higher family poverty, and living in neighborhoods with higher levels of disorder. However, the social disadvantage of a young person’s school did not impact being bullied. More positive reports of connection and caring in early adolescence were negatively predicted by neighborhood disorder and family poverty, and being female had positive association with relationships with teachers. Developing confidence, competence, and character in late adolescence was notably related to having fewer experiences of family trauma and transitions in childhood and to having higher levels of rapport with parents in early adolescence. The results highlight the importance of studying relationships and psychological development in sociocultural context.

Background
Poverty is associated with poor outcomes, yet exposure to distinct poverty trajectories in early childhood is not well understood.

Objective
To understand the prevalence of different trajectories of household poverty and their association with mid-childhood and mother indicators of physical health and psychopathology in Ireland.

Methods
We used a nationally representative, prospective cohort (Growing Up in Ireland–Infant Cohort). Household poverty included lowest third income decile, subjective poverty and material deprivation when children were aged 9 months, and 3, 5, 9 years. We used group-based multitrajectory cluster modelling to classify trajectories of poverty. Using multivariable logistic regression, adjusted with separate child and mother confounders, we assessed the association of poverty trajectories from 9 months to 9 years with child outcomes (overweight, any longstanding illness and psychopathology) at age 9 years and the same poverty trajectories over the same 9-year period with mother outcomes (overweight, any longstanding illness and depression).

Results
Of 11 134 participants, 4 trajectories were identified: never in poverty (43.1%), material/subjective>monetary poverty (16.1%), monetary>material poverty (25.6%) and persistent poverty (15.2%). Children in persistent poverty compared with those in never in poverty experienced higher odds of being overweight at 9 years (adjusted OR (aOR) 1.70, 95% CI 1.34, 2.16), having a longstanding illness (aOR 1.51, 95% CI 1.20, 1.91), and psychopathology (aOR 2.06, 95% CI 1.42, 2.99). The outcomes for primary parents (99.7% were mothers) were as follows: having higher odds of being overweight (aOR 1.49, 95% CI 1.16, 1.92), having a longstanding illness (aOR 2.13, 95% CI 1.63, 2.79), and depression (aOR 3.54, 95% CI 2.54, 4.94).

Conclusions
Any poverty trajectory was associated with poorer psychopathology and physical well-being in late childhood for children and their mothers in Ireland.

Background
Poverty is associated with poor outcomes, yet exposure to distinct poverty trajectories in early childhood is not well understood.

Objective
To understand the prevalence of different trajectories of household poverty and their association with mid-childhood and primary-parent(mother) indicators of physical health and psychopathology in Ireland.

Methods
We used a nationally representative, prospective cohort (Growing-up-in-Ireland– Infant-Cohort). Household poverty included lowest third income decile, subjective poverty and material deprivation when children were aged 9-months(m),3,5,9-years(y). We used group based multi-trajectory-cluster-modelling to classify trajectories of poverty. Using multivariate logistic regression, adjusted with separate child and mother confounders, we assessed the association of poverty trajectories from 9m to 9y with child outcomes (overweight, any longstanding illness and psychopathology) at age 9y and the same poverty trajectories over the same 9y period with mother outcomes (overweight, any longstanding illness and depression).

Results
Of 11,134 participants, four trajectories were identified: never-in-poverty (43.1%), material/subjective>monetary-poverty (16.1%), monetary>material-poverty (25.6%), and persistent-poverty (15.2%). Children in persistent-poverty compared with never in poverty experienced higher odds of being overweight at 9y (adjusted odds ratio aOR 1.70,95% CI 1.34, 2.16), having a longstanding illness (aOR 1.51,95% CI 1.20, 1.91) and psychopathology (aOR 2.06,95% CI 1.42, 2.99). The outcomes for primary parent (99.7% were mothers) had higher odds of being overweight (aOR 1.49,95% CI 1.16, 1.92), having a longstanding illness (aOR 2.13,95% CI 1.63, 2.79), and depression (aOR 3.54,95% CI 2.54, 4.94).

Conclusions
Any poverty trajectory was associated with poorer psychopathology and physical wellbeing in late childhood for children and their mothers in Ireland.

What is already known on this subject?
Poverty is understood as having both objective (e.g. low household income) and subjective dimensions (e.g., perception of being poor relative to others, poverty related anxiety). Evidence highlights the association between child poverty exposure and child and mother wellbeing outcomes.

What this study adds?
Our study examined predicted trajectories of multi-dimensional poverty and child and mother outcomes using a large national cohort. We identified that any poverty trajectory in childhood had a higher odds of being associated with poor well-being outcomes.

How this study might affect research, practice or policy?
This study highlights the need for strategies to ameliorate any poverty exposure as all poverty trajectories resulted in poorer wellbeing outcomes. Strategies should be considered to ameliorate any poverty exposure in early childhood (e.g., school based resourcing).

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.

Specific pregnancy complications, socioeconomic position and sex have all been independently associated with child mental health outcomes, but their combined effects remain unclear. We examined whether total number of complications experienced in the pregnancy associated with mental health at 5 and 9-years, and whether this varied by sex or adverse social circumstances. Pregnancy complications were self-reported at 9-months post-natally from a list of 16 complications. Parents completed the Strengths and Difficulties Questionnaire (SDQ) when their child was 5 and 9-years. The primary outcome was the SDQ-total and scoring in the clinical range (> 16) was a secondary outcome. We applied generalized linear mixed models to a large nationally representative Irish cohort (GUI; n = 11,134). Analyses were adjusted for sex, adverse social circumstances (at 9-months), and gestational smoking. We included an interaction term between pregnancy complications and each variable respectively in separate models to examine if associations varied by sex or adverse circumstances.

After controlling for covariates, total complications associated with mental health at 5 and 9-years. Each additional pregnancy complication conferred a 10% higher total-SDQ score (exponentiated co-efficient 1.10 [95%CI 1.06–1.14], 1.20 [1.15–1.26], 1.20 [1.12–1.29] and 1.34 [1.21–1.48] for 1, 2, 3 and 4 + complications respectively). For the dichotomised outcome, generally increasing odds for clinical levels of mental health difficulties were observed (OR 1complication = 1.89, 95%CI [1.37–2.59]; OR 2complications = 2.31, 95%CI [1.53–3.50]; OR 3complications = 1.77, 95%CI [0.89–3.52]; OR 4 + complications = 6.88, 95%CI [3.29–14.40]). Females had significantly lower odds of exhibiting clinically significant mental health difficulties than males (OR = 0.43, 95%CI[0.32–0.57]).

There was no evidence that the association between pregnancy complications and child’s mental health varied by sex or social circumstances at 5 or 9-years. Males exposed to numerous pregnancy complications in the context of adverse social circumstances had the highest predicted probability of having mental health difficulties in middle childhood.