The whole is greater than the sum of its parts: profiles of multiple mental health risk factors using Latent class analysis

Pregnancy complications and childhood mental health: is the association modified by sex or adverse social circumstances? Findings from the 'growing up in Ireland' national infant cohort study

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.

Examining the relationship between adversity and suicidality and self-harm in Irish adolescents from 2020 to 2022

BACKGROUND

Research indicates that there is a strong association between childhood adversity and youth suicide and self-harm. However, there is currently a lack of understanding about the patterns of adversity most frequently experienced by youth across social settings, and whether these typologies differently predict youth engagement in suicide and self-harm. This study examines the dominant patterns of adversity experienced by adolescents across home, peer, and school contexts, and explores the relationship between youth's adversity profiles and their suicide and self-harm outcomes, across a two year period (2020-2022).

METHODS

Secondary analyses were performed on data collected from 10,281 (50 % male) adolescents who participated in the Irish Planet Youth questionnaire in 2020 (n = 5004) or 2022 (n = 5277).

RESULTS

Findings from clustered latent class analyses indicated that there are four dominant profiles of adversity experienced by adolescents. Class 1 (Multiple Adversity) was characterised by a high probability of experiencing adversity across multiple social settings. Class 2 (Parent Adversity) had a strong likelihood of experiencing adversity with parents. Class 3 (Peer Adversity) were likely to experience adversity within the peer/friend domain. Class 4 was characterised by a low probability of experiencing adversity. Findings from logistic regression models with BCH training weights indicated that there were significant differences in self-harm and suicidality across the adversity classes. In comparison to the low adversity group, adolescents in the multiple adversity group were more likely to self-harm and attempt suicide.

LIMITATIONS

These findings are based on cross-sectional data and rely on the use of single-item measurements, which may limit the generalisability of findings.

DISCUSSION

Results indicate that youth who experience adversity across home, peer and school contexts are at the greatest risk of engaging in suicide and self-harm. These findings have important implications for policy and practice, and suggest that youth experiencing adversity across multiple settings should be priority targets for intervention.

Multiple Risk in Pregnancy- Prenatal Risk Constellations and Mother-Infant Interactions, Parenting Stress, and Child Externalizing and Internalizing Behaviors: A Prospective Longitudinal Cohort Study from Pregnancy to 18 Months Postpartum

Multiple risk is associated with adverse developmental outcomes across domains. However, as risk factors tend to cluster, it is important to investigate formation of risk constellations, and how they relate to child and parental outcomes. By means of latent class analysis patterns of prenatal risk factors were identified, and relations to interactional quality, parenting stress, and child internalizing and externalizing behaviors were investigated. An array of prenatal risk factors was assessed in 1036 Norwegian pregnant women participating in a prospective longitudinal community-based study, Little in Norway. Mother-infant interactions were videotaped and scored with the Early Relational Health Screen (ERHS) at 12 months. The Parenting Stress Index (PSI) and Infant-Toddler Social and Emotional Assessment (ITSEA) were administered at 18 months. First, we analyzed response patterns to prenatal risks to identify number and characteristics of latent classes. Second, we investigated whether latent class membership could predict mother-child interactional quality, parenting stress, and child internalizing and externalizing behavior after the child was born. Results revealed three prenatal risk constellations: broad risk (7.52%), mental health risk (21.62%) and low-risk (70.86%). Membership in the broad risk group predicted lower scores on interactional quality, while membership in the mental health risk group predicted less favorable scores on all outcome measures. Prenatal risks clustered together in specific risk constellations that differentially related to parent, child and interactional outcomes.

Childhood maltreatment and mental health problems in a 10-year follow-up study of adolescents in youth residential care: A latent transition analysis

Childhood maltreatment and mental health problems are common among young people placed out-of-home. However, evidence on the impact of maltreatment on the course of mental health problems in at-risk populations is sparse. The aim of this longitudinal study is twofold: (a) describe the course of mental health problems and the shift in symptom patterns among adolescents in youth residential care into young adulthood and (b) assess how childhood maltreatment is related to the course of mental health problems. One hundred and sixty-six adolescents in Swiss youth residential care were followed up into young adulthood (36.1% women; MAge-Baseline = 16.1 years; MAge-Follow-Up = 26.4 years). Latent transition analysis was employed to analyze transitions of symptom patterns and their association with maltreatment exposure. We found three latent classes of mental health problems: a "multiproblem"-class (51.8% baseline; 33.7% follow-up), a "low symptom"-class (39.2% baseline; 60.2% follow-up), and an "externalizing"-class (9.0% baseline; 6.0% follow-up). Individuals in the "multiproblem"-class were likely to transition towards less-complex symptom patterns. Higher severity of self-reported childhood maltreatment was associated with more complex and persistent mental health problems. Our study underlines the need for collaboration between residential and psychiatric care systems within and after care placements, with a specialized focus on trauma-informed interventions and care.

Creating the conditions for robust early language development for all-Part 1: Evidence-informed child language surveillance in the early years

BACKGROUND

The emergence of language in the early years is a major developmental accomplishment that underpins learning, enables social interaction and, later, is an indicator of well-being. Learning language is an effortless process for most, but can be challenging for others. There is a need to act early. First, because there are several social, environmental and family factors known to influence how language develops during the critical early years. Second, there is a robust association between a child's socio-economic circumstances and language outcomes. Put simply, children living in less advantaged circumstance have poorer language outcomes, which are apparent very early and persist across the lifespan. Third, children with demonstrated weaknesses in language learning in early childhood have poorer educational, employment, mental health and quality-of-life outcomes across the lifespan. Acting early to counter these impacts is important; however, there are several well-documented challenges in accurately identifying in the early years children who are at later risk of developmental language disorder (DLD) and to deliver prevention and intervention programmes to scale. This is critical because many services do not currently reach those who need them most; as many as 50% of children in need may not be receiving support.

AIM

To determine whether an improved surveillance system, based on best evidence, could be developed for the early years.

METHODS & PROCEDURES

We summarised findings from longitudinal, population or community studies that: (1) adopted bioecological models, (2) repeatedly measured language (including the early years) and (3) adopted similar methodologies, to identify factors that influence language outcomes.

MAIN CONTRIBUTION

The evidence confirmed that language development is not always stable but is characterized by distinct trajectories and each has distinguishing social, environmental features. Children in the change or fluctuating groups tend to live in less advantageous circumstances that may not always support and enable language development. Risk factors tend to cluster and accumulate across the early years and beyond, thereby markedly increasing the likelihood of poorer language outcomes later in life.

CONCLUSIONS & IMPLICATIONS

In this the first of two papers, designed to be read together, we integrate research on the social determinants of child language and propose they be embedded into surveillance models. This has the potential to reach more children and those living in disadvantaged circumstances. In the accompanying paper we combine this information with evidence-informed early prevention/intervention approaches and propose the design and implementation of an early language public health framework.

WHAT THIS PAPER ADDS

What is already known on the subject There are several well-documented challenges in accurately identifying in the early years children who are at later risk of DLD and reaching those most in need of language support. What this study adds to existing knowledge A combination of child, family and environmental determinants, collectively and cumulatively, play out over time and dramatically increase the risk of later language problems, in particular those children living in disadvantaged circumstances. We propose an improved surveillance system that incorporates these determinants be developed and that this be part of a whole of system approach to child language in the early years. What are the potential or actual clinical implications of this work? Clinicians intuitively act to prioritize children with multiple features or risks; however, they can only do so for those who present or are identified to be at risk. Given many children with language problems are not being reached by many early language services, it is reasonable to ask if this knowledge can be integrated to improve reach. Or is a different surveillance model required?

Youth Suicide and Self-Harm: Latent Class Profiles of Adversity and the Moderating Roles of Perceived Support and Sense of Safety

Research suggests that exposure to adversity can lead to an increased risk of experiencing suicidal and self-injurious thoughts or behaviours, but few studies have examined whether different patterns of adversity are differentially associated with youth suicide/self-harm. The current study aims to explore the relationship between exposure to adversity across various social domains and youth self-harm and suicidality, using a person centred approach, and examines whether access to social support and a sense of safety across home, peer or school settings buffer the relationship between adversity and self-harm/suicidality. Secondary data analyses were carried out on cross-sectional self-report data collected from 4848 (M_age=15.78, SD = 0.59; 50% female) adolescents who participated in the Irish Planet Youth survey. Latent Class Analyses identified four distinct profiles of adversity; low-adversity (n = 2043, 42%); peer-adversity (n = 972, 20%); parental-adversity (n = 1189, 25%); and multiple-adversity (n = 644, 13%). Findings from logistic moderated regressions indicated that there were significant differences in self-harm and suicidality across the adversity classes. Although parental support and perceived safety at school were negatively associated with suicidality and self-harm outcomes, no significant moderation effects were observed. These findings suggest that youth who experience adversity across multiple social domains are more likely to report suicidal and self-harm thoughts and behaviours, and should be key targets for intervention/prevention efforts. While parental support and school safety may act as significant compensatory factors, further work is needed to identify the social resources that can offset the risk imposed by youth's adverse experiences.

Profiles of risk factors for depressive and anxiety symptoms during the COVID-19 pandemic: A latent class analysis

The COVID-19 pandemic has caused a high burden in the general population. The exposure to an accumulation of risk factors, as opposed to a single risk, may have been associated with higher levels of depressive and anxiety symptoms during the pandemic. This study aimed to (1) identify subgroups of individuals with distinct constellations of risk factors during the COVID-19 pandemic and (2) investigate differences in levels of depressive and anxiety symptoms. German participants (N = 2245) were recruited between June-September 2020 through an online survey (ADJUST study). Latent class analysis (LCA) and multiple group analyses (Wald-tests) were conducted to identify profiles of risk factors and examine differences in symptoms of depression (PHQ-9) and anxiety (GAD-2). The LCA included 14 robust risk factors of different domains, for example, sociodemographic (e.g., age), health-related (e.g., trauma), and pandemic-related (e.g., reduced income) factors. The LCA identified three risk profiles: High sociodemographic risk (11.7%), high social and moderate health-related risk (18.0%), and low general risk (70.3%). Individuals with high sociodemographic risk reported significantly higher symptom levels of depression and anxiety than the remaining groups. A better understanding of risk factor profiles could help to develop targeted prevention and intervention programs during pandemics.

Co-occurrence, stability and manifestation of child and adolescent mental health problems: a latent transition analysis

Background

Complex constellations of socio-emotional and behavioural problems (i.e., mental health problems) in childhood and adolescence are common and heighten the risk for subsequent personality, anxiety and mood disorders in adulthood. Aims of this study included the examination of patterns of mental health problems (e.g., externalizing-internalizing co-occurrence) and their transitions to reported mental disorders by using a longitudinal person-centered approach (latent class and latent transition analysis).

Methods

The sample consisted of 1255 children and adolescents (51.7% female, mean age = 12.3 years, age range 8–26 years) from three time points of the comprehensive mental health and wellbeing BELLA study. Children and their parents completed the German SDQ (Strength and Difficulties Questionnaire, Goodman, 1997) and reported on diagnoses of ADHD, depression, and anxiety.

Results

Latent class analysis identified a normative class, an emotional problem class, and a multiple problem class. According to latent transition analysis, the majority of the sample (91.6%) did not change latent class membership over time; 14.7% of individuals showed a persistent pattern of mental health problems. Diagnoses of mental disorders were more likely to be reported by individuals in the emotional problem or multiple problem class.

Conclusions

Results highlight the need for early prevention of mental health problems to avoid accumulation and manifestation in the transition to adolescence and young adulthood.

Adolescent Family Characteristics Partially Explain Differences in Emerging Adulthood Subjective Well-Being After the Experience of Major Life Events: Results from the German KiGGS Cohort Study

Experiences from major life events (MLEs; e.g., starting work or living independently) accumulate in the transition to emerging adulthood. Adaption to such events, often operationalized as responses in subjective well-being (SWB), is highly diverse. This observation has prompted attempts to explain differences in SWB responses among individuals as well as events. Early family characteristics have been discussed as potentially enduringly beneficial or harmful for successful adaption to MLEs in emerging adulthood. In the current study, we investigated adolescent family characteristics as longitudinal predictors of emerging adult mental and physical SWB (direct associations) and their explanatory value for SWB differences after the experience of MLEs (indirect associations). Analyses were based on data from a German national cohort study of 6255 emerging adults (KiGGS survey; 46.6% male; mean age = 22.78 years, standard deviation = 3.26 years) who had participated in the baseline study 11 years prior. Results showed that, while experiencing unemployment or severe illness was most negatively related to SWB, high educational attainment had the most positive correlation. Adolescent family characteristics were longitudinal predictors of emerging adult SWB and partially explained differences in SWB after the experience of several MLEs. Most notably, adolescent family characteristics were indirectly associated with emerging adult SWB via permanent relationships, educational attainment, and unemployment. The results provide a basis for the better understanding and further development of research and targeted intervention or prevention measures to facilitate adaptive capacity and reduce adverse effects from certain events on SWB in the transition to emerging adulthood.

The Potential for Outdoor Nature-Based Interventions in the Treatment and Prevention of Depression

There is growing interest in nature-based interventions (NBI) to improve human health and wellbeing. An important nascent area is exploring the potential of outdoor therapies to treat and prevent common mental health problems like depression. In this conceptual analysis on the nature-depression nexus, we distil some of the main issues for consideration when NBIs for depression are being developed. We argue that understanding the mechanisms, or 'active ingredients' in NBIs is crucial to understand what works and for whom. Successfully identifying modifiable mediating intervention targets will pave the way for interventions with increased efficacy. We highlight a non-exhaustive list of five clinically relevant putative, candidate mechanisms which may underly the beneficial effects of NBIs on depression: stress, rumination, mindfulness, sleep and exercise. We also make the case that when developing NBIs it is important to not neglect young people, explore personalised approaches and focus on both treatment and prevention approaches. To achieve these aims methodologically rigorous programmes of clinical research are needed that include well-powered and controlled experimental designs including randomised controlled trials, qualitative research, longitudinal studies and large prospective cohorts.