MétaCan
Menu
Back to cohort
Record W4323535339 · doi:10.1186/s12978-023-01588-x

Socio-ecological factors associated with probable depression among pregnant and parenting adolescent girls: findings from a cross-sectional study in Burkina Faso and Malawi

2023· article· en· W4323535339 on OpenAlexafffund
Anthony Idowu Ajayi, Elita Chamdimba, Nathalie Sawadogo, Nyawira Gitahi, Abdoul Moumini Tarnagda, Abdoul Kader Ilboudo, Alister Munthali, Chrissie Thakwalakwa, Emmanuel Otukpa, Boniface Ayanbekongshie Ushie, Caroline W. Kabiru

Bibliographic record

VenueReproductive Health · 2023
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsPublic Health OntarioUniversity of Toronto
FundersAfrican Population and Health Research CenterInternational Development Research CentreStyrelsen för Internationellt Utvecklingssamarbete
KeywordsReproductive medicineCross-sectional studyDepression (economics)Public healthEnvironmental healthMedicinePregnancyDemographyBiologyNursingSociology

Abstract

fetched live from OpenAlex

BACKGROUND: Pregnant and parenting adolescent girls are at risk of poor mental health because of stigma and social exclusion. Despite one in four girls starting childbearing by the age of 19 in Africa, no study, to the best of our knowledge, has examined the multi-layered factors (individual, family, friends, and neighborhood-related factors) associated with depressive symptoms among pregnant and parenting girls in Africa. Our study contributes to addressing this gap by examining the socio-ecological factors associated with depression symptoms among pregnant and parenting adolescent girls. METHODS: Our study adopted a cross-sectional design. Between March and September 2021, we interviewed 980 pregnant and parenting adolescent girls in Ouagadougou, Burkina Faso, and 669 in Blantyre, Malawi. We recruited pregnant and parenting adolescent girls in randomly selected urban and rural enumeration areas in Burkina Faso (n = 71) and Malawi (n = 66). We assessed depressive symptoms using the Patient Health Questionnaire (PHQ-9), which generated an overall score of 27. We considered a score of 10 or more as probable depression. We also obtained information on individual, family, friends, and neighborhood characteristics. We employed logistic regression models to examine the significant factors associated with probable depression among pregnant and parenting adolescent girls. RESULTS: The prevalence of probable depression was 18.8% and 14.5% in Burkina Faso and Malawi, respectively. At the individual level, having secondary education was significantly associated with a lower likelihood of probable depression in Malawi (AOR: 0.47; 95% CI 0.27-0.82) but not in Burkina Faso. At the family level, denying paternity (AOR: 3.14; 95% CI 1.34-7.11 in Malawi) and no parental support (AOR: 2.08; 95% CI 1.22-3.55 in Burkina Faso) were associated with higher odds of probable depression. At the community level, perceived neighborhood safety was associated with a lower likelihood of probable depression in Malawi (AOR: 0.74; 95% CI 0.61-0.89) and Burkina Faso (AOR: 0.81; 95% CI 0.73-0.90). Having a safety net within the community was associated with lower odds of probable depression in Burkina Faso (AOR: 0.87; 95% CI 0.78-0.96) but not in Malawi. CONCLUSION: Depressive symptoms are common among pregnant and parenting adolescents, suggesting the need to screen them regularly for depression during antenatal and postnatal visits. Factors associated with depression among pregnant and parenting girls operate at multiple levels suggesting a need for multilevel interventions that address all areas of vulnerabilities.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.038
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.066
GPT teacher head0.350
Teacher spread0.285 · 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 source (direct Gemma or distilled Codex), 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

Citations10
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueReproductive HealthSame topicMaternal Mental Health During Pregnancy and PostpartumFrench-language works237,207