Mental Health and Well-being Measures for Mean Comparison and Screening in Adolescents: An Assessment of Unidimensionality and Sex and Age Measurement Invariance.

Adolescence is a period of increased vulnerability for low well-being and mental health problems, particularly for girls and older adolescents. Accurate measurement via brief self-report is therefore vital to understanding prevalence, group trends, screening efforts, and response to intervention. We drew on data from the #BeeWell study (N = 37,149, aged 12-15) to consider whether sum-scoring, mean comparisons, and deployment for screening were likely to show bias for eight such measures. Evidence for unidimensionality, considering dynamic fit confirmatory factor models, exploratory graph analysis, and bifactor modeling, was found for five measures. Of these five, most showed a degree of non-invariance across sex and age likely incompatible with mean comparison. Effects on selection were minimal, except sensitivity was substantially lower in boys for the internalizing symptoms measure. Measure-specific insights are discussed, as are general issues highlighted by our analysis, such as item reversals and measurement invariance.

Variation in global network properties across risk factors for adolescent internalizing symptoms: evidence of cumulative effects on structure and connectivity.

BACKGROUND: Identifying adolescents at risk of internalizing problems is a key priority. However, studies have tended to consider such problems in simple ways using diagnoses, or item summaries. Network theory and methods instead allow for more complex interaction between symptoms. Two key hypotheses predict differences in global network properties for those at risk: altered structure and increased connectivity. METHODS: The current study evaluated these hypotheses for nine risk factors (e.g. income deprivation and low parent/carer support) individually and cumulatively in a large sample of 12-15 year-olds (N = 34 564). Recursive partitioning and bootstrapped networks were used to evaluate structural and connectivity differences. RESULTS: The pattern of network interactions was shown to be significantly different via recursive partitioning for all comparisons across risk-present/absent groups and levels of cumulative risk, except for income deprivation. However, the magnitude of differences appeared small. Most individual risk factors also showed relatively small effects for connectivity. Exceptions were noted for gender and sexual minority risk groups, as well as low parent/carer support, where larger effects were evident. A strong linear trend was observed between increasing cumulative risk exposure and connectivity. CONCLUSIONS: A robust approach to considering the effect of risk exposure on global network properties was demonstrated. Results are consistent with the ideas that pathological states are associated with higher connectivity, and that the number of risks, regardless of their nature, is important. Gender/sexual minority status and low parent/carer support had the biggest individual impacts on connectivity, suggesting these are particularly important for identification and prevention.

Gender and sexual identity-based inequalities in adolescent wellbeing: findings from the #BeeWell Study.

BACKGROUND: Gender and sexual minority adolescents experience greater symptoms of psychological distress than their peers, but little is known about broader aspects of their wellbeing. This study examines wellbeing inequalities relating to gender and sexual identity among adolescents from Greater Manchester in the United Kingdom. METHOD: 37,978 adolescents (aged 12-15, attending 165 secondary schools) completed surveys of life satisfaction, positive and negative affect (hedonic framework); autonomy, self-esteem, optimism, and positive relationships (eudaimonic framework); and, symptoms of distress and mental wellbeing (complete state framework). Structural correlated factors models were used to assess gender and sexual identity wellbeing inequalities. RESULTS: The magnitude of wellbeing inequalities pertaining to gender and sexual identity were routinely substantially greater than those concerning other characteristics (e.g., socio-economic disadvantage). Gender identity wellbeing inequalities followed a consistent pattern, with the largest disparities evident between gender diverse adolescents and boys. Sexual identity wellbeing inequalities also followed a consistent pattern, with the largest disparities evident between sexual minority youth (both gay/lesbian and bi/pansexual) and their heterosexual peers. Finally, variation was evident across wellbeing domains. For example, observed gender identity (boys vs. girls) and sexual identity (heterosexual vs. sexual minority) disparities were substantially greater for symptoms of distress than for mental wellbeing in the complete state model. CONCLUSIONS: LGBTQ + adolescents experience lower wellbeing than their peers, and this is evident across a range of wellbeing domains. Accordingly, there is an urgent need for the prioritisation of improved prevention and intervention efforts that can better meet the needs of gender diverse and sexual minority youth, and future research should be conducted to improve understanding of the mechanisms underpinning the wellbeing inequalities observed.

This is the place: a multi-level analysis of neighbourhood correlates of adolescent wellbeing.

OBJECTIVE: Adolescent wellbeing is a key research and policy priority, but little is known about neighbourhood-level influences. This study examined the extent to which adolescents' life satisfaction and internalising symptoms vary between neighbourhoods, and which neighbourhood characteristics are associated with individual outcomes. METHOD: Baseline data from the #BeeWell cohort study in Greater Manchester (England) including 35,902 adolescents (aged 12-15) across 243 neighbourhoods were linked to neighbourhood characteristics (e.g. access to education and health services, leisure facilities) from the Co-op's Community Wellbeing Index and analysed using multi-level regression. RESULTS: Neighbourhoods explained 0.61% and 1.17% of the variation in life satisfaction and internalising symptoms, respectively. Socio-demographic inequalities in these outcomes varied across neighbourhoods. Several neighbourhood characteristics were associated with wellbeing, but differences across model specifications were observed (e.g. adjusted vs unadjusted; unique associations vs grouped domains). However, higher levels of perceived wellbeing support from local people were associated with lower internalising symptoms in all models. Other characteristics associated with better wellbeing outcomes in various models included lower GP antidepressant prescription rates, and better access to health services, areas for leisure, and good places to spend free time. CONCLUSION: Neighbourhoods account for a small but significant proportion of the variance in adolescent life satisfaction and internalising symptoms. Some neighbourhood characteristics (notably neighbourhood social capital) are associated with these outcomes at the individual level, and disparities in these outcomes for some groups vary across neighbourhoods. Our findings speak to the role of place as a determinant of adolescent wellbeing, with consequent implications for intervention.

The influence of minority stress-related experiences on mental wellbeing for trans/gender-diverse and cisgender youth: a comparative longitudinal analysis.

Trans and gender-diverse (TGD) adolescents are likely to experience poorer mental health and wellbeing than their cisgender peers. Minority stress theory has developed as a possible explanation for some of this disadvantage: factors such as increased bullying and discrimination lead to excess stress and reduced wellbeing. However, the evidence base remains limited. This study drew on secondary data analysis of the #BeeWell longitudinal cohort over 2 years (N = 26 042, aged 12-13 at time one, T1). We report two unregistered hypotheses relating to T1 (autumn 2021) data which was available at the time of stage-one submission: H1, mean differences in T1 wellbeing; H2, mean differences in T1 minority-related stressors. These are followed by two registered hypotheses relating to T2 (autumn 2022) data: H3, replication of T1 mean differences in T2 wellbeing; H4, predictions were made about the strength of the association between T1 minority-related stressors, controlling for sexuality and T2 wellbeing across T1 gender identity groups. At both time points cis-females, TGD and those who preferred not to say their gender had lower wellbeing than cis-males (CM), with the largest effect evident for the TGD group. TGD adolescents also showed the largest disadvantage (mean difference) compared with CM for minority stressors. Counter to H4 and minority stress theory, gender was not found to moderate the effect of minority stressors on later wellbeing. Our findings highlight the vulnerability of the TGD group in terms of wellbeing and minority stressors and are discussed with relevance for policy and future research.

Measuring general mental health in early-mid adolescence: A systematic meta-review of content and psychometrics.

Background: Adolescent mental health is a major concern and brief general self-report measures can facilitate insight into intervention response and epidemiology via large samples. However, measures' relative content and psychometrics are unclear. Method: A systematic search of systematic reviews was conducted to identify relevant measures. We searched PsycINFO, MEDLINE, EMBASE, COSMIN, Web of Science, and Google Scholar. Theoretical domains were described, and item content was coded and analysed, including via the Jaccard index to determine measure similarity. Psychometric properties were extracted and rated using the COSMIN system. Results: We identified 22 measures from 19 reviews, which considered general mental health (GMH) (positive and negative aspects together), life satisfaction, quality of life (mental health subscales only), symptoms, and wellbeing. Measures were often classified inconsistently within domains at the review level. Only 25 unique indicators were found and several indicators were found across the majority of measures and domains. Most measure pairs had low Jaccard indexes, but 6.06% of measure pairs had >50% similarity (most across two domains). Measures consistently tapped mostly emotional content but tended to show thematic heterogeneity (included more than one of emotional, cognitive, behavioural, physical and social themes). Psychometric quality was generally low. Conclusions: Brief adolescent GMH measures have not been developed to sufficient standards, likely limiting robust inferences. Researchers and practitioners should attend carefully to specific items included, particularly when deploying multiple measures. Key considerations, more promising measures, and future directions are highlighted. PROSPERO registration: CRD42020184350 https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020184350.

Neighbourhood effects on loneliness among adolescents.

BACKGROUND: Loneliness is a growing public health concern, but little is known about how place affects loneliness, especially during adolescence. This is the first study to examine the influence of neighbourhoods on loneliness in early-to-mid adolescence. METHODS: Baseline data from the #BeeWell cohort study in Greater Manchester (England), including 36 141 adolescents (aged 12-15 years) across 1590 neighbourhoods, were linked to neighbourhood characteristics using administrative data at the level of lower super output areas and analysed using multilevel regression. RESULTS: Neighbourhood differences explained 1.18% of the variation in loneliness. Ethnic, gender and sexual orientation inequalities in loneliness varied across neighbourhoods. Several neighbourhood characteristics predicted loneliness at the individual level, including skills deprivation among children and young people, lower population density and perceptions of the local area (feeling safe; trust in local people; feeling supported by local people; seeing neighbours as helpful; the availability of good places to spend free time). Finally, a longer distance from home to school was associated with significantly higher loneliness. CONCLUSIONS: Neighbourhoods account for a small but significant proportion of the variation in adolescent loneliness, with some neighbourhood characteristics predicting loneliness at the individual level, and loneliness disparities for some groups differing across neighbourhoods.

Controlled Hydrolysis of Odorants Schiff Bases in Low-Molecular-Weight Gels.

Imines or Schiff bases (SB) are formed by the condensation of an aldehyde or a ketone with a primary amine, with the removal of a water molecule. Schiff bases are central molecules in several biological processes for their ability to form and cleave by small variation of the medium. We report here the controlled hydrolysis of four SBs that may be applied in the fragrance industry, as they are profragrances all containing odorant molecules: methyl anthranilate as primary amine, and four aldehydes (cyclamal, helional, hydroxycitronellal and triplal) that are very volatile odorants. The SB stability was assessed over time by HPLC-MS in neutral or acidic conditions, both in solution and when trapped in low molecular weight gels. Our results demonstrate that it is possible to control the hydrolysis of the Schiff bases in the gel environment, thus tuning the quantity of aldehyde released and the persistency of the fragrance.

Exploring the Dimensionality of the Social Skills Improvement System Using Exploratory Graph Analysis and Bifactor-(S - 1) Modeling.

Since its development over a decade ago, the Social Skills Improvement System (SSIS) has been one of the most widely used measures of social skills in children. However, evidence of its structural validity has been scant. The current study examined the original seven-factor and more recent five-factor structure (SSIS-SEL) of the self-report SSIS in a sample of English elementary school students (N = 3,331) aged 8 to 10 years (M = 8.66, SD = 0.59). A problematic fit was found for both structures with poor discriminant validity. Using exploratory graph analysis and bifactor-(S - 1) modeling, we found support for a four-factor structure, the variation of which was captured by a general factor defined by "empathy and prosocial skills." Future researchers, particularly those interested in using specific domains of the SSIS, are urged to assess its structure in their studies, if their findings are to be theoretically meaningful.

Internalizing symptoms, well-being, and correlates in adolescence: A multiverse exploration via cross-lagged panel network models.

Internalizing symptoms are the most prevalent mental health problem in adolescents, with sharp increases seen, particularly for girls, and evidence that young people today report more problems than previous generations. It is therefore critical to measure and monitor these states on a large scale and consider correlates. We used novel panel network methodology to explore relationships between internalizing symptoms, well-being, and inter/intrapersonal indicators. A multiverse design was used with 32 conditions to consider the stability of results across arbitrary researcher decisions in a large community sample over three years (N = 15,843, aged 11-12 at Time 1). Networks were consistently similar for girls and boys. Stable trait-like effects within anxiety, attentional, and social indicators were found. Within-person networks were densely connected and suggested mental health and inter/intrapersonal correlates related to one another in similar complex ways. The multiverse design suggested the particular operationalization of items can substantially influence conclusions. Nevertheless, indicators such as thinking clearly, unhappiness, dealing with stress, and worry showed more consistent centrality, suggesting these indicators may play particularly important roles in the development of mental health in adolescence.

Age Appropriateness of the Self-Report Strengths and Difficulties Questionnaire.

The self-report version of the Strengths and Difficulties Questionnaire is widely used in clinical and research settings. However, the measure's suitability for younger adolescents has recently been called into question by readability analysis. To provide further insight into the age-appropriateness of the self-report Strengths and Difficulties Questionnaire, readability was assessed at the item level alongside consideration of item quality criteria, its factor structure was analyzed, and measurement invariance between adolescents in Year 7 (age 11-12 years) versus Year 9 (age 13-15 years) was tested. The measure showed a wide range of reading ages, and the theorized factor structure was unacceptable. Measurement invariance was therefore considered for a flexible exploratory structural equation model, and no evidence of differences between age groups was found. Suggestions are made for the measure's revision based on these findings.

The dimensionality and latent structure of mental health difficulties and wellbeing in early adolescence.

Research with adults and older adolescents suggests a general factor may underlie both mental health difficulties and wellbeing. However, the classical bifactor model commonly used to demonstrate this general trait has recently been criticised when a unidimensional structure is not supported. Furthermore, research is lacking in this area with children and early adolescents. We present confirmatory factor analysis models to explore the structure of psychopathology and wellbeing in early adolescents, using secondary data from a large U.K. sample (N = 1982). A simple correlated factors structure fitted the data well and revealed that wellbeing was just as related to internalising as this was to externalising symptoms. The classical bifactor solution also fitted the data well but was rejected as the general factor explained only 55% of the total common variance. S-1 models were therefore used to explore general covariance in a more robust way, and revealed that a general internalising distress factor could play an important role in all item responses. Gender and income differences in mental health were also explored through invariance testing and correlations. Our findings demonstrate the importance of considering mental health difficulties and wellbeing items together, and suggestions are made for how their correspondence could be controlled for.