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Record W1205146717 · doi:10.4314/rj.v2i2.34f

Abstract: Assessment of Common Perinatal Mental Disorders in a Selected District Hospital of the Eastern Province in Rwanda

2015· article· en· W1205146717 on OpenAlexaff
Marie Providence Umuziga, Oluyinka Adejumo, Michael Hynie

Bibliographic record

VenueRwanda Journal · 2015
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsYork University
Fundersnot available
KeywordsMedicineSocioeconomicsGeographyFamily medicineNursingSociology

Abstract

fetched live from OpenAlex

BackgroundCommon perinatal mental disorders (CPMDs) in women (depression & anxiety) are recognized as a significant public health concern. In African countries, CPMDs are most prevalent. However, there is limited evidence in literature about CPMDs in Rwanda.PurposeTo determine CPMDs in a selected district hospital of the Eastern Province of /Rwanda.MethodsDescriptive quantitative cross-sectional survey was conducted with a sample of 165 mothers in perinatal period selected systematically. Ethical approval was obtained from University of the Western Cape of South Africa and the former Kigali Health Institute of Rwanda. The Zungu Self-rating Anxiety Scale (SAS) and Edinburgh Postnatal Depression Scale (EPDS) were used to collect data. SPSS version 21 was used for analysis.ResultsMost of the respondents (38.2%) were aged 25-29 years; married (44.8%); and unemployed (77%). Thirty-seven percent of the respondents had perinatal anxiety (PNA) while 50.3% had perinatal depression (PND). Statistically significant relationships were found between PNA (≥45scores) and factors such as relationship with husband/partner (c2 (2)=12.045, p=.002), husband/partner’s behaviour (c2 (8) = 16.401, p= .037), number of children (c2 (8)=16.017, p=.042), planned pregnancy (c2 (2)=8.244, p=.016), stressful events (c2 (14)=55.035, p=.000). Relationship with husband/partner was the only predictor of PNA (Odd ratio= 0.437). With regard to PND (≥10 scores), statistically significant relationships were found between factors such as marital status (c2 (3) = 17.559, p= .001), level of education (c2 (3) =16.857, p= .001), husband/partner relationship (c2 (1) = 38.207, p= .000), husbands’ behaviour (c2 (4) =43.242, p= .000), number of children (c2 (4) = 18.554, p= .001), planned pregnancy (c2 (1) = 17.773, p=.000), personal stressful events (c2 (7) = 30.232, p=.000). Age was the strongest determinants of PND (Odd ratio: 131.973).ConclusionCPMDs are prevalent. Poor relationship with husband and young age were found to be the strongest determinants of CPMDs.Key words: ante-postnatal depression, ante-postnatal anxiety, Rwanda

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)0.000
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 score0.005
Threshold uncertainty score0.327

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
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 head0.013
GPT teacher head0.300
Teacher spread0.287 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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