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Record W4414514364 · doi:10.1080/09540121.2025.2562235

Depressive symptomatology and their correlates among caregivers of children and adolescents living with HIV in KwaZulu-Natal, South Africa

2025· article· en· W4414514364 on OpenAlexafffund
Reuben Christopher Moyo, Eugene Lee Davids, Lovemore Sigwadi Nyasha, Stanley Carries, Audrey Moyo, Andrew Gibbs, Nwabisa Shai, Kalysha Closson, Laura Washington, Nokwanda Sithole, Arvin Bhana, Nelly Mwandacha, Angela Kaida, Darshini Govindasamy

Bibliographic record

VenueAIDS Care · 2025
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsSimon Fraser University
FundersMedical Research CouncilCanadian Institutes of Health ResearchSouth African Medical Research CouncilSocial Sciences and Humanities Research Council of CanadaInternational Development Research Centre
KeywordsMental healthPsychological interventionDepression (economics)Human immunodeficiency virus (HIV)Depressive symptomsPopulationPublic health

Abstract

fetched live from OpenAlex

Background Few studies have examined factors linked to depressive symptomatology among caregivers of children and adolescents living with HIV (CALHIV). This study estimated prevalence of depressive symptoms and identified associated factors among caregivers of CALHIV in KwaZulu-Natal, South Africa.Methods We used baseline data from a cluster-randomised controlled trial of the impact of a cash transfer program and an economic empowerment intervention on health and well-being caregivers of CALHIV. Depressive symptoms were assessed using 10-item Centre for Epidemiologic Studies Depression Scale (CES-D-10), with score of ≥12 indicating presence depressive symptomatology. Correlates of depressive symptoms were identified using multilevel generalised linear models.Results The prevalence of depressive symptoms was 57% (95% CI: 51% – 63%). Factors associated with increased odds of depressive symptomatology were residing in peri-urban (OR = 4.80, p = 0.038), having any form of disability (OR = 8.12, p = 0.001), having existing medical condition (OR = 3.27, p = 0.009), experiencing physical abuse in the past 12 months (OR = 3.53, p = 0.020), and low social support (OR = 3.94, p = 0.005).Conclusion The prevalence of depressive symptoms was high among CALHIV. These findings highlight the need for targeted, context-specific interventions that include mental health screening for caregivers to support their mental health and well-being.

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 score0.017
Threshold uncertainty score0.323

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 integrity0.0000.000
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 head0.004
GPT teacher head0.235
Teacher spread0.231 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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