Developmental complexity, structural simplicity: a longitudinal, multi-method investigation of internalising and externalising symptoms in young people

This research involves a series of studies investigating various aspects of the development of mental disorder during late childhood and early adolescence (8-14 years) in a large nationwide longitudinal study in England. The first two studies examine the clinical validity and survey format equivalence of a child self-report measure of mental health, the Me and My School questionnaire, measuring symptoms in the two key domains of child psychopathology: internalising and externalising. The next two studies investigate the complexity of individuals’ symptom development by examining the developmental trajectories of internalising and externalising symptoms using latent class growth analysis, a method that allows the estimation of different person-centred trajectories of symptom development. Subsequently, the studies investigate the socio-demographic correlates (including gender, socio-economic status, ethnicity and age) of individuals with different trajectories. This is followed by examining the impact of these different types of trajectories on another key domain of child functioning: educational attainment. The fifth study focuses on the co-development of symptoms in the internalising and externalising domains in late childhood and early adolescence, trying to uncover patterns in their association and development over time in these two developmental periods. The last study, based on the results of the previous studies, aims to investigate the underlying structure of child psychopathology. Using hierarchical bi-factor analysis, the study explores the possibility of a general propensity for psychopathology that not only is a better predictor of future psychopathology but can lead to better models of specific disorders as well. The thesis contributes to increasing the understanding of complexities in symptom development and proposes a simpler structural model underlying symptoms. The analytic approach used highlights the value of modern data analytic techniques in increasing our understanding of the development of psychopathology

Measuring mental health and wellbeing outcomes for children and adolescents to inform practice and policy:a review of child self-report measures

There is a growing appetite for mental health and wellbeing outcome measures that can inform clinical practice at individual and service levels, including use for local and national benchmarking. Despite a varied literature on child mental health and wellbeing outcome measures that focus on psychometric properties alone, no reviews exist that appraise the availability of psychometric evidence and suitability for use in routine practice in child and adolescent mental health services (CAMHS) including key implementation issues. This paper aimed to present the findings of the first review that evaluates existing broadband measures of mental health and wellbeing outcomes in terms of these criteria. The following steps were implemented in order to select measures suitable for use in routine practice: literature database searches, consultation with stakeholders, application of inclusion and exclusion criteria, secondary searches and filtering. Subsequently, detailed reviews of the retained measures’ psychometric properties and implementation features were carried out. 11 measures were identified as having potential for use in routine practice and meeting most of the key criteria: 1) Achenbach System of Empirically Based Assessment, 2) Beck Youth Inventories, 3) Behavior Assessment System for Children, 4) Behavioral and Emotional Rating Scale, 5) Child Health Questionnaire, 6) Child Symptom Inventories, 7) Health of the National Outcome Scale for Children and Adolescents, 8) Kidscreen, 9) Pediatric Symptom Checklist, 10) Strengths and Difficulties Questionnaire, 11) Youth Outcome Questionnaire. However, all existing measures identified had limitations as well as strengths. Furthermore, none had sufficient psychometric evidence available to demonstrate that they could reliably measure both severity and change over time in key groups. The review suggests a way of rigorously evaluating the growing number of broadband self-report mental health outcome measures against standards of feasibility and psychometric credibility in relation to use for practice and policy

Socioeconomic inequalities in co-morbidity of overweight, obesity and mental ill-health from adolescence to mid-adulthood in two national birth cohort studies

Aim: To examine socioeconomic inequalities in comorbidity risk for overweight (including obesity) and mental ill-health in two national cohorts. We investigated independent effects of childhood and adulthood socioeconomic disadvantage on comorbidity from childhood to mid-adulthood, and differences by sex and cohort. Methods: Data were from 1958 National Child Development Study (NCDS58) and 1970 British Cohort Study (BCS70) [total N=30,868, 51% males] assessed at ages 10, 16, 23/26, 34 and 42 years. Socioeconomic indicators included childhood and adulthood social class and educational level. Risk for i. having healthy BMI and mental ill-health, ii. overweight and good mental health, and iii. overweight and mental ill-health was analysed using multinomial logistic regression. Findings: Socioeconomic disadvantage was consistently associated with greater risk for overweight-mental ill-health comorbidity at all ages (RRR 1.43, 2.04, 2.38, 1.64 and 1.71 at ages 10, 16, 23, 34 and 42 respectively for unskilled/skilled vs. professional/managerial class). The observed inequalities in co-morbidity were greater than those observed for either condition alone (overweight; RRR 1.39 and 1.25, mental ill-health; 1.36 and 1.22 at ages 16 and 42 respectively, for unskilled/skilled vs. professional/managerial class). In adulthood, both childhood and adulthood socioeconomic disadvantage were independently associated with comorbid overweight-mental ill-health, with a clear inverse gradient between educational level and risk for comorbidity. For instance, for the no education group (compared to university education) the RRR is 6.11 (95% CI 4.31-8.65) at age 34 and 4.42 (3.28-5.96) at age 42. There were no differences observed in the extent of inequalities by sex and differences between cohorts were limited. Interpretation: While socioeconomic disadvantage in childhood and adulthood are consistently and independently associated with greater risk for mental ill-health and being overweight separately, these associations are even larger for their comorbidity across the lifecourse. These findings are significant given the increasing global prevalence of obesity and mental ill-health, and their implications for lifelong health and mortality. Funding: This research was supported by grants from the Wellcome Trust (ISSF3/ H17RCO/NG1) and Medical Research Council (MRC) [MC_UU_00019/3]

Changes in millennial adolescent mental health and health-related behaviours over 10 years: a population cohort comparison study

Background There is evidence that mental health problems are increasing and substance use behaviours are decreasing. This paper aimed to investigate recent trends in mental ill health and health-related behaviours in two cohorts of UK adolescents in 2005 and 2015. Methods Prevalences in mental health (depressive symptoms, self-harm, anti-social behaviours, parent-reported difficulties) and health-related behaviours (substance use, weight, weight perception, sleep, sexual intercourse) were examined at age 14 in two UK birth cohorts; Avon Longitudinal Study of Parents and Children (ALSPAC, N = 5627, born 1991–92) and Millennium Cohort Study (MCS, N = 11 318, born 2000–02). Prevalences and trend estimates are presented unadjusted and using propensity score matching and entropy balancing to account for differences between samples. Results Depressive symptoms (9% to 14.8%) and self-harm (11.8% to 14.4%) were higher in 2015 compared with 2005. Parent-reported emotional difficulties, conduct problems, hyperactivity and peer problems were higher in 2015 compared with 2005 (5.7–8.9% to 9.7–17.7%). Conversely, substance use (tried smoking, 9.2% to 2.9%; tried alcohol, 52.1% to 43.5%, cannabis, 4.6% to 3.9%), sexual activity (2% to 0.9%) and anti-social behaviours (6.2–40.1% to 1.6–27.7%) were less common or no different. Adolescents in 2015 were spending less time sleeping (<8 h 5.7% to 11.5%), had higher body mass index (BMI) (obese, 3.8% to 7.3%) and a greater proportion perceived themselves as overweight (26.5% to 32.9%). The findings should be interpreted bearing in mind limitations in ability to adequately harmonize certain variables and account for differences in attrition rates and generalizability of the two cohorts. Conclusions Given health-related behaviours are often cited as risk factors for poor mental health, our findings suggest relationships between these factors might be more complex and dynamic in nature than currently understood. Substantial increases in mental health difficulties, BMI and poor sleep-related behaviours highlight an increasing public health challenge

Development and predictors of mental ill-health and wellbeing from childhood to adolescence

PURPOSE: The aim is to investigate the (1) longitudinal development in mental ill-health and wellbeing from ages 11 to 14, (2) predictors of changes in mental health outcomes, and (3) sex and reporter differences. METHOD: Data are taken from 9553 participants in the Millennium Cohort Study, with both mental ill-health (parent- and self-report) and wellbeing outcomes of the cohort members measured at ages 11 and 14. A range of childhood socio-demographic, human capital, family and wider environment risk and protective factors are investigated. RESULTS: Wellbeing has weak stability and mental ill-health has moderate stability between ages 11 and 14 and large sex differences emerge in all the mental health outcomes investigated, with girls experiencing lower wellbeing and greater symptoms of mental illness at age 14. Raw associations between outcomes, and differences in their predictors, indicate varying patterns emerging for parent- and self-reported mental ill-health, with parent-reported symptoms in childhood a poor predictor of both self-reported wellbeing and depressive symptoms in adolescence. Investigating the emergent sex differences in prevalences highlights childhood risk and protective factors at this age that are more salient in females, including family income, school connectedness, cognitive ability, whereas peer relationships and bullying were equally relevant for mental health development in both males and females. CONCLUSION: Low–moderate stability of mental health outcomes stresses the importance of the transition period for mental health, highlighting an intervention window at these ages for prevention. Socio-economic status is associated with mental health development in females but not in males at this age, highlighting a sex-specific vulnerability of deprivation associated with poorer mental health in adolescent females

The impact of sexual violence in mid-adolescence on mental health: a UK population-based longitudinal study

Summary Background A large gender gap appears in internalising mental health conditions during adolescence, with higher rates in girls than boys. There is little high-quality longitudinal population-based research investigating the role of sexual violence experiences, which are disproportionately experienced by girls. We aimed to estimate the effects of sexual violence experienced in mid-adolescence on mental health outcomes. Methods In this study, we used data from the longitudinal UK Millennium Cohort Study, a large nationally representative cohort of children born in the UK in 2000–02, for participants with information available at age 17 years on sexual violence in the past year (eg, sexual assault or unwelcome sexual approach), mental health outcomes (eg, completion of the Kessler Psychological Distress K6 scale in the past 30 days, self-harm in the past year, and lifetime attempted suicide). Multivariable confounder adjusted regressions and propensity matching approaches were used, and population attributable fractions (PAFs) were calculated. Findings We included 5119 girls and 4852 boys (8063 [80·8%] of whom were White) in the full analysis sample. In the fully adjusted model, compared with no sexual violence, sexual violence was associated with greater mean psychological distress in girls (mean difference 2·09 [95% CI 1·51–2·68]) and boys (2·56 [1·59–3·53]), higher risk of high psychological distress in girls (risk ratio [RR] 1·65 [95% CI 1·37–2·00]) and boys (1·55 [1·00–2·40]), higher risk of self-harm in girls (RR 1·79 [1·52–2·10]) and boys (RR 2·16 [1·63–2·84]), and higher risk of attempted suicide in girls (RR 1·75 [1·26–2·41]) and boys (RR 2·73 [1·59–4·67]). PAF estimates suggest that, in a hypothetical scenario with no sexual violence, the prevalence of adverse mental health outcomes at age 17 years would be 3·7–10·5% lower in boys and 14·0–18·7% lower in girls than the prevalence in this cohort. Interpretation Reductions in sexual violence via policy and societal changes would benefit the mental health of adolescents and might contribute to narrowing the gender gap in internalising mental ill health. Clinicians and others working to support adolescents should be aware that sexual violence has a widespread, gendered nature and an impact on mental health. Funding UK Medical Research Council

Psychological distress, self-harm and attempted suicide in UK 17-year olds: prevalence and sociodemographic inequalities

In a large (n = 10 103), nationally representative sample of 17-year-olds 16.1% had experienced high psychological distress in the past 30 days, 24.1% had self-harmed in the previous 12 months and 7.4% had ever attempted suicide. Females, White adolescents, sexual minorities and those from more socioeconomically disadvantaged families had worse mental health outcomes; with the exceptions of no detected differences in attempted suicide by ethnicity and in self-harm by socioeconomic position. Findings include a narrower gender gap in self-harm at age 17 (males 20.1%, females 28.2%) compared with at age 14 (males 8.5%; females 22.8%) and 2–4 times higher prevalence in sexual minority adolescents (39.3% high distress, 55.8% self-harmed, 21.7% attempted suicide compared with 13.4%, 20.5% and 5.8%, respectively, in heterosexual adolescents)

Examining Mental Health and Well-being Provision in Schools in Europe: Methodological Approach

Schools are considered an ideal setting for community-based mental health and well-being interventions for young people. However, in spite of extensive literature examining the effectiveness of such interventions, very few studies have investigated existing mental health and well-being provision in schools. The current study aims to extend such previous research by surveying primary and secondary schools to investigate the nature of available provision in nine European countries (Germany, Ireland, the Netherlands, Poland, Serbia, Spain, Sweden, the UK and Ukraine). Furthermore, the study aims to investigate potential barriers to mental health and well-being provision and compare provision within and between countries

Educators' perceived mental health literacy and capacity to support students' mental health: associations with school-level characteristics and provision in England

Conceptual frameworks for school-based, preventive interventions recognise that educators' capacity is, in part, dependent on school-level characteristics. This study aimed to (i) examine the factor structure and internal consistency of the Mental Health Literacy and Capacity Survey for Educators (MHLCSE); (ii) assess responses in relation to supporting students' mental health; (iii) describe schools' mental health provision in terms of designated roles, training offered, and perceived barriers; (iv) investigate variance in MHLCSE outcomes explained by schools; and, (v) explore school-level predictors of educators' perceived MHL and capacity after controlling for individual-level characteristics. A multi-level, cross-sectional design involving 710 educators across 248 schools in England was used, and secondary analyses of baseline data collected as part of the Education for Wellbeing Programme were conducted. Mental health provision data was available for 206 schools, of which 95% offered training to some staff, and 71% had a designated mental health lead. Secondary schools offered significantly more training than primary schools. Significant barriers included lack of capacity in Child and Adolescent Mental Health Services (CAMHS) and within school, and communication challenges between agencies. The amount of training offered by schools significantly predicted educators' awareness and knowledge of mental health issues, treatments and services, legislation and processes for supporting students' mental health and comfort providing active support, with increased training predicting higher scores. However, little variance was explained by schools (1.7-12.1%) and school-level variables (0.7-1.2%). Results are discussed in relation to current mental health and education policy in England

Mental health in relation to changes in sleep, exercise, alcohol and diet during the COVID-19 pandemic: examination of four UK cohort studies

BACKGROUND: Responses to the COVID-19 pandemic have included lockdowns and social distancing with considerable disruptions to people's lives. These changes may have particularly impacted on those with mental health problems, leading to a worsening of inequalities in the behaviours which influence health. METHODS: We used data from four national longitudinal British cohort studies (N = 10 666). Respondents reported mental health (psychological distress and anxiety/depression symptoms) and health behaviours (alcohol, diet, physical activity and sleep) before and during the pandemic. Associations between pre-pandemic mental ill-health and pandemic mental ill-health and health behaviours were examined using logistic regression; pooled effects were estimated using meta-analysis. RESULTS: Worse mental health was related to adverse health behaviours; effect sizes were largest for sleep, exercise and diet, and weaker for alcohol. The associations between poor mental health and adverse health behaviours were larger during the May lockdown than pre-pandemic. In September, when restrictions had eased, inequalities had largely reverted to pre-pandemic levels. A notable exception was for sleep, where differences by mental health status remained high. Risk differences for adverse sleep for those with the highest level of prior mental ill-health compared to those with the lowest were 21.2% (95% CI 16.2–26.2) before lockdown, 25.5% (20.0–30.3) in May and 28.2% (21.2–35.2) in September. CONCLUSIONS: Taken together, our findings suggest that mental health is an increasingly important factor in health behaviour inequality in the COVID era. The promotion of mental health may thus be an important component of improving post-COVID population health