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Record W4224870296 · doi:10.29392/001c.33820

Prevalence and determinants of mental health among an indigent population in rural Burkina Faso: a cross-sectional study

2022· article· en· W4224870296 on OpenAlexafffund
Lyann Porfilio-Mathieu, Émilie Pigeon-Gagné, Christian Dagenais, Valéry Ridde

Bibliographic record

VenueJournal of Global Health Reports · 2022
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsUniversité du Québec à MontréalUniversité de Montréal
FundersCanadian Institutes of Health Research
KeywordsMental healthCross-sectional studyMedicinePopulationFeelingPsychiatryPsychological interventionDistressMental distressPovertyPublic healthEnvironmental healthGerontologyPsychologyClinical psychology

Abstract

fetched live from OpenAlex

Background In Burkina Faso, prevalence of mental health disorders and the characteristics of people living with these disorders are scarce, especially among the poorest. Methods This study aims at providing a descriptive portrait of the prevalence of psychiatric symptoms and their determinants among indigent individuals living in rural Burkina Faso. A cross-sectional design was chosen, using a stratified sampling procedure. A questionnaire comprising 73 questions was administered to 1314 respondents. Results Mental health symptoms were grouped into three types: anxiodepressive, somatic and psychotic. A total of 1234 (93.9 %) participants reported having experienced at least one anxiodepressive symptom and 1087 (82.7%) respondents reported at least one somatic symptom one month prior to the interview. Furthermore, 256 (19.5%) participants reported at least one psychotic symptom in their lifetime. Differences in the expression of distress between regions were noted as well as a feeling of exclusion among respondents to their communities were common to all symptomatic profiles, which opens up avenues of targeted intervention for future equitable mental health policies. Conclusions The mental health action plan 2014-2018 in Burkina Faso 7 identified the lack of evidence in mental health as one of the most salient issues. This study contributes to addressing this limitation and participates in the Movement for Global Mental Health (MGMH) by providing knowledge on the prevalence of symptoms of mental health disorders in a vulnerable population living in rural areas.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.034
GPT teacher head0.455
Teacher spread0.421 · 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
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

Citations6
Published2022
Admission routes2
Has abstractyes

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