Examining the mental health impacts of climate change on young people in Canada: a national cross-sectional survey
Notice bibliographique
Résumé
BACKGROUND: Climate change poses a substantial threat to the mental wellbeing of young people. Population-level research is urgently needed to help inform policies and interventions to ensure that young people are not burdened by long-term mental health impacts from climate change. We sought to identify the prevalence, distribution, and factors associated with climate change-related mental and emotional health outcomes among young people (aged 13-34 years) in Canada. METHODS: This study is part of a larger cross-sectional survey, which examined mental and emotional health responses to climate change among individuals aged 13 years or older from across Canada. We used a multi-stage, multi-stratified random probability sampling procedure. Participants were randomly recruited through either an addressed letter or a telephone call. Online and telephone questionnaires were used to interview individuals in English, French, or Inuktitut between April 1, 2022, and March 31, 2023. Data were weighted by age and province using population estimates from Statistics Canada and analysed using descriptive statistics, factor analyses, and multivariable regression analyses. FINDINGS: The full survey included 2476 participants, with a subgroup of 409 young people. Of the 401 respondents who provided their gender identity, 215 (54%) identified as cisgender women, 167 (42%) identified as cisgender men, and 19 (5%) identified as non-binary. Preliminary results suggest that young people in Canada experience a wide range of climate-related emotional and mental health outcomes. More than 70% of respondents in the young people subgroup reported having at least mild levels of sadness, anger, worry, anxiety, concern, helplessness, hopelessness, or powerlessness related to climate change. The severity of climate-related emotional responses differed by gender, with non-binary respondents and cisgender women reporting higher average levels of distress than cisgender men. Regional differences were also observed, with northern regions and urban locations reporting more severe reactions. INTERPRETATION: This study builds on the understanding of the burden of climate change on the mental health of young people. If unaddressed, the impact of this burden could have long-standing and wide-reaching public health and related socioeconomic effects. FUNDING: Canadian Institutes of Health Research, ArcticNet, Social Sciences and Humanities Research Council Doctoral Fellowship, Izaak Walton Killam Memorial Scholarship, and Alberta Innovates Graduate Student Scholarship.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».