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Record W4411230266 · doi:10.2196/69005

Maintaining Resilience and Well-Being in the Era of Climate Change: Protocol of an Acceptability and Feasibility Pilot of the Bee Well Program for Treating Eco-Anxiety in Rural Children Exposed to Natural Hazards

2025· article· en· W4411230266 on OpenAlexvenueno aff
Suzanne Cosh, Warren Bartik, Rosie Ryan, Amanda Jefferys, Kaii Fallander, Phillip J. Tully, Amy D. Lykins

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsnot available
Fundersnot available
KeywordsResilience (materials science)AnxietyProtocol (science)Psychological resiliencePsychologyClimate changeApplied psychologyEnvironmental resource managementMedicineEnvironmental sciencePsychotherapistAlternative medicinePsychiatryEcology

Abstract

fetched live from OpenAlex

BACKGROUND: The effects of climate change on mental health are becoming widely recognized. Mental health can be impacted through direct and indirect exposure to natural hazards, as well as through the overarching awareness of climate change and the resultant environmental decline-the latter is termed eco-anxiety. Exposure to natural hazards also increases eco-anxiety, further compounding mental health impacts. Young people are especially vulnerable to the mental health impacts of climate change and have higher rates of eco-anxiety than other age groups. Those in rural areas are also more likely to be impacted by natural hazards, further underscoring the need to support this population. To date, there remains scant evidence regarding how to support young people with eco-anxiety, and few interventions, especially for children, have been evaluated. There is a need for further research to inform treatment for young people for climate change-related distress. OBJECTIVE: This study pilots a novel group-based mental health and resilience intervention in relation to eco-anxiety. Specifically, this project aims to explore the acceptability, feasibility, and clinical utility of a group-based eco-anxiety intervention. METHODS: The project is an exploratory pilot assessing the acceptability, feasibility, and clinical utility of a group-based intervention using a pre-post design with a single group. A minimum sample of 12 children aged 10-14 years located in a rural area and with exposure to at least one natural hazard will be enrolled in this study. In order to assess clinical utility, changes from preintervention to postintervention in distress, resilience, and climate emotions will be assessed. To do so, children will complete measures of psychological distress (subjective units of distress, Depression Anxiety Stress Scale-21-youth version), climate emotions, and resilience (Resilience Scale for Children-10) before and after the intervention. Acceptability will be assessed post intervention through a series of Likert scale and open-ended questions. Feasibility will be assessed through enrollment and the proportion of participants completing the full intervention. Eligible children will take part in a novel 5-module group-based intervention designed to build resilience, promote nature connectedness, build social support, and foster meaning-focused coping. RESULTS: This study has received ethics board approval by the University of New England's Human Research Ethics Committee (HE23-080). This study will be conducted from late 2024 to 2025. As of March 2025, 28 children have been enrolled in the study. CONCLUSIONS: Rural children and young people are an especially vulnerable population for the mental health impacts of climate change. To date, the evidence base for interventions for treating eco-anxiety remains sparse, especially for young people and children who typically have higher rates of eco-anxiety than older age groups. This study will provide preliminary evidence of a group-based treatment for children and adolescents experiencing eco-anxiety that can inform practitioners. TRIAL REGISTRATION: Australia and New Zealand Clinical Trials Registry ACTRN12624001287527; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=388545. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/69005.

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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.270
Threshold uncertainty score0.822

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.285
GPT teacher head0.582
Teacher spread0.297 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreProtocol

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

Citations1
Published2025
Admission routes1
Has abstractyes

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