MétaCan
Menu
Back to cohort
Record W4417280469 · doi:10.1080/09540121.2025.2586244

Association between diet quality, physical activity and anthropometric status of people living with HIV in Cape Town

2025· article· en· W4417280469 on OpenAlexfundno aff
Iyanuoluwa Oyedeji Oyetunji, Alastair Duncan, Tasneem Adams, Ria Laubscher, Emmanuel Nwosu, Janetta Harbron

Bibliographic record

VenueAIDS Care · 2025
Typearticle
Languageen
FieldMedicine
TopicHIV-related health complications and treatments
Canadian institutionsnot available
FundersMastercard FoundationUniversity of Cape TownSouth African Medical Research Council
KeywordsWaistAnthropometryPhysical activityPsychosocialBody mass indexObesityCape

Abstract

fetched live from OpenAlex

Research on the diet of PLWH in South Africa is limited. We assessed the association between BMI and diet quality of PLWH on ART in Cape Town. We recruited 246 participants between 2021 and 2022. Information on demographics, infection, treatment, anthropometry, and physical activity was obtained. Diet quality was assessed using the Alternate Healthy Eating Index (aHEI). Anthropometry was measured using BMI, waist circumference, mid-upper-arm circumference, and waist-to-hip ratio. Participants were mostly females (70%) with an average age of 46 years, 28% were overweight, and 40% obese. Females were more obese than males (91% vs 9%, p < 0.001). Age was not associated with BMI. Leisure physical activity score was significantly different within BMI categories (p < 0.001). Over one-third of participants were being treated for at least one comorbidity, mostly hypertension, dyslipidemia, and dysglycemia. Average daily intakes of the components of the aHEI indicated a low compliance with the index recommendation. The mean aHEI score was 41.9, indicating diet quality was lower than average, and was not significantly different between BMI categories. Diet quality among PLWH in this study is suboptimal, irrespective of BMI; this needs to be addressed. Investigations of psychosocial factors affecting the nutritional and health status of PLWH is needed.

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 score0.019
Threshold uncertainty score0.404

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.019
GPT teacher head0.358
Teacher spread0.339 · 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 routes1
Has abstractyes

Explore more

Same venueAIDS CareSame topicHIV-related health complications and treatmentsFrench-language works237,207