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Record W4291214342 · doi:10.1007/s43545-022-00465-x

Understanding adolescent mental health and well-being: a qualitative study of school stakeholders’ perspectives to inform intervention development

2022· article· en· W4291214342 on OpenAlexfundno aff
Ruth D. Neill, Katrina Lloyd, Paul Best, Mark A. Tully

Bibliographic record

VenueSN Social Sciences · 2022
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsnot available
FundersQueen's UniversityQueen's University Belfast
KeywordsMental healthPsychological interventionIntervention (counseling)Thematic analysisPsychologyAnxietyFocus groupQualitative researchMedical educationApplied psychologyMedicinePsychiatrySociology

Abstract

fetched live from OpenAlex

Abstract There has been an increasing prevalence of mental health issues among adolescents. Early interventions in the school setting have been identified as a way to help reduce and prevent these issues. However, the input of key school stakeholders is largely neglected within the intervention development process. This study aims to address this deficit by exploring student and teacher perspectives on adolescent mental health and the barriers and facilitators to intervention development. Data were collected through six focus groups with 32 students and seven semi-structured interviews with teachers were conducted in one secondary school in Northern Ireland, alongside observations across the whole school. The data were analysed using thematic analysis. The main themes identified were Test anxiety as a detrimental factor to adolescent mental health particularly within the school setting. and the use of a multi-component intervention involving communication, education and physical activity could help reduce anxiety and improve well-being. Perceived facilitators for intervention development were co-production, pupil ownership and target age while barriers included the school’s role in mental health prevention, mixed interests of adolescents, and time constraints. Issues such as test anxiety are important factors to consider in designing a school-based intervention. A school-based intervention should be multi-dimensional to allow the programme to be tailored and sustainable for the school setting. Future research with a larger representative sample is required to obtain information on the acceptance of the intervention developed from this research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.270
GPT teacher head0.430
Teacher spread0.160 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2022
Admission routes1
Has abstractyes

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