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

Black, Louise; Panayiotou, Margarita; Humphrey, Neil

doi:10.31234/osf.io/e3y8r

Cited by 4 publications

(3 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Though we initially intended to conduct secondary searches for psychometric evidence (Black, Panayiotou, & Humphrey, 2020), we instead opted to use primary psychometric studies of included measures cited in reviews. This was more feasible, was supported by the quality of reviews (which tended to use a range of databases, appropriate terms for measurement properties and clearly describe eligibility, see Table in the Supporting Information), and frequent inclusion of measures in several reviews (see Figure 2).…”

Section: Methodsmentioning

confidence: 99%

“…Indeed, positive mental health is increasingly collected in large epidemiological studies (e.g., NHS Digital, 2018; Patalay & Fitzsimons, 2018). Given a need to answer the question of what should be considered under adolescent GMH, we did not seek an exhaustive definition prior to conducting our review (Black, Panayiotou, & Humphrey, 2020). Nevertheless, in the following paragraph we make explicit considerations that informed the meta‐review (see also eligibility criteria expanded in the Supporting Information).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

2022

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…From a conceptual perspective, indicators from across positive and negative domains of mental health are not clearly dissociated 17 , making prior work hard to compare. This is empirically supported with evidence nding that symptoms and indicators of wellbeing correlate substantially in adolescents and in a complex way 18,19 .…”

Section: Introductionmentioning

confidence: 99%

Time spent on social media among the least influential factors in adolescent mental health: preliminary results from a panel network analysis

et al. 2023

View full text Add to dashboard Cite

There is growing concern about the role of social media use in the documented increase of adolescent mental health di culties. However, the current evidence remains complex and inconclusive. While increasing research on this area of work has allowed for signi cant progress, the impact of social media use within the complex systems of adolescent mental health and development is yet to be examined. The current study addresses this conceptual and methodological oversight by applying a panel network analysis to explore the role of social media on the interacting systems of mental health, wellbeing, and social life of 12,041 UK adolescents. We nd that across time, social media is one of the least in uential factors of adolescent mental health with other factors (e.g. bullying, lack of family support) deserving greater attention. Our ndings suggest that the current depiction of social media use as the culprit of adolescent mental health di culties is unwarranted and highlight the need for social policy initiatives that focus on the home and school environment to foster resilience.

show abstract

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

Marquez,

Humphrey,

Black

et al. 2023

BMC Public Health

View full text Add to dashboard Cite

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.

show abstract

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

Cited by 4 publications

References 50 publications

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

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

Time spent on social media among the least influential factors in adolescent mental health: preliminary results from a panel network analysis

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

Contact Info

Product

Resources

About