Climate Change and Climate Change Related Natural Disasters, and Maternal Mental Health: A Scoping Review of Socioeconomic Vulnerabilities
Notice bibliographique
Résumé
Aims: As the climate crisis escalates, pregnant women are increasingly exposed to extreme weather events, such as heatwaves and floods, which may lead to psychological distress and adverse mental health outcomes for both mothers and infants. This scoping review synthesizes research on the direct and indirect effects of climate change-related stressors on maternal mental health, identifying key trends, interventions, and mitigative strategies. Emphasis is placed on socioeconomic disparities in both high- and low-income countries, as these groups are disproportionately affected. Methods: A systematic search was conducted to identify studies focusing on mental health, pregnancy (pre-, during, post-), and climate change, as defined in the AR6 Climate Change 2023 Synthesis Report, published up to October 2024. Data extraction included study design, population, interventions/exposures, outcomes, and socioeconomic implications. Only original articles and preprints in languages translatable to English were considered. Results: The initial search retrieved 675 articles, of which 14 met the inclusion criteria. Two studies were from middle-income countries (Egypt and Turkey), while the remainder came from high-income countries (Australia, Canada, and the USA). The studies examined climate-related exposures, such as hurricanes, flooding, and extreme heat. Key findings indicate that acute exposure to high temperatures was associated with an increase in psychiatric emergency visits among pregnant women. Similarly, prenatal stress from natural disasters (e.g., hurricanes) was linked to higher levels of maternal mental health symptoms (e.g., depression, PTSD) and changes in infant temperament. Socioeconomic vulnerability played a critical role, with middle-income regions facing greater healthcare barriers, fewer mental health resources, and economic instability. Even in high-income regions, marginalized populations (e.g., Puerto Rico and the US Virgin Islands) experienced healthcare disruptions and prolonged recovery following climate disasters. Conclusion: While the findings highlight the intersection of climate change and maternal mental health, several studies were limited by small sample sizes and reliance on self-reported data. A significant gap exists, as no studies specifically focused on maternal mental health in low-income countries affected by climate change were found during the literature search. Socioeconomic disparities strongly influenced mental health outcomes, underscoring the urgent need for equitable healthcare policies, financial support systems, and culturally adapted interventions. The review calls for the integration of climate resilience strategies into maternal healthcare and the strengthening of mental health infrastructure in low- and middle-income settings. Future research must prioritize longitudinal studies, policy-driven interventions, and targeted support for vulnerable populations.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
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 | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».