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Record W4402039032 · doi:10.1016/j.ajp.2024.104191

A systematic review of mental health and climate change in the Philippines

2024· review· en· W4402039032 on OpenAlex
Villarino Resti Tito, Hozhabri Kazem, Saint-Onge Kadia, Bernard Paquito

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAsian Journal of Psychiatry · 2024
Typereview
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsUniversité LavalUniversité du Québec à Montréal
Fundersnot available
KeywordsMental healthPsychological interventionStressorPsychological resilienceClimate changeSystematic reviewPsychologyNatural disasterEnvironmental healthMedicinePsychiatryMEDLINEGeographyPolitical scienceSocial psychologyEcology

Abstract

fetched live from OpenAlex

The Philippines are at the forefront of climate change impacts, including those related to health and well-being, but information on mental health and well-being are typically underreported. To help address this research lacuna, we conducted a systematic literature review. We aimed to provide an overview of current research knowledge and research gaps regarding the impacts of climate change outcomes on Filipinos’ mental health and well-being. Consulting 8 databases, we identified 951 records. The final analysis included 32 studies: 16 quantitative, 11 qualitative, 2 longitudinal, 2 experimental, and 1 published report. A narrative synthesis has been performed to synthesize the findings from included studies. Studies were presented in four sections: 1) Risks to mental health following a natural disaster, 2) Determinants of post-traumatic stress disorder risks, 3) Resilience and post-traumatic growth following natural disasters, and 4) Personal experiences and other mental health outcomes. Reviewed data show that climate change outcomes strongly and negatively impact Filippino’s mental health and well-being. Climate change outcomes also, negatively affect mental health through indirect (e.g., sleep disorders) and long-term pathways for example by being exposed to stressors such as migration, conflict, and violence. A set of coping strategies was identified which include banding together, mobilizing health experts, and expanding the local relationships with health workers. Future prospective studies should assess the effects of rising sea levels and vector-borne diseases among frontline communities. More interventional studies assessing preventive interventions and health promotion initiatives should be carried out to mitigate mental health disorders and improve well-being, thus contributing to improved health outcomes. • Preventive interventions should be carried out to prevent mental health disorders and improve well-being in a context of (un)planed climate migration and before at risk seasons. • To develop a culturally adapted mental health and psychosocial support in natural disaster risk reduction management perspective. • Psychosocial programs with low-cost implementation strategies should be prioritized, particularly during the perinatal period and early childhood.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.051
Threshold uncertainty score0.551

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.072
GPT teacher head0.398
Teacher spread0.326 · 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