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Record W4414774677 · doi:10.55320/mjz.52.4.738

Pica and associated factors among pregnant women attending antenatal clinic at Chelstone Level One Hospital and Mtendere clinic, Lusaka District, Zambia

2025· article· en· W4414774677 on OpenAlexaff
Thelma Thelma, Pamela Marinda, Irene Ogada, Rosaline Ilukani Sinkala, Jimmy Hangoma

Bibliographic record

VenueMedical Journal of Zambia · 2025
Typearticle
Languageen
FieldHealth Professions
TopicTherapeutic Uses of Natural Elements
Canadian institutionsMount Saint Vincent University
FundersMinistrstvo za visoko šolstvo, znanost in tehnologijo
KeywordsPica (typography)Statistical significanceVomitingConfidence intervalNauseaCross-sectional studyGuidelineRice flour

Abstract

fetched live from OpenAlex

The present study assessed the prevalence of pica and associated factors among pregnant women at Chelstone Level-one Hospital and Mtendere clinic, in Lusaka district of Zambia. This was a descriptive cross-sectional study in which questionnaires were administered face to face to 372 pregnant women. The data was analyzed using Statistical Package for Social Sciences version 23. Statistical significance was set as p=0.05 at 95% confidence interval. The prevalence of pica was 38.2% (n=142), and of these, soil was the most common non-food item consumed (84.5%; n=120). Reasons stated by participants for practicing pica included cravings, sensory reasons such as the pleasant texture, taste, or smell, for controlling nausea and vomiting and others. There was no significant association between nutrition status, hemoglobin level and pica practice. Education level, culture, history of pica, religious affiliation and pica practice among family or friends were associated with the practice of pica (P = <0.050). The practice of pica is noteworthy among pregnant women as it is practiced by a considerable proportion of pregnant women in this area. There is need for increased awareness on pica practice and its harmful effects among pregnant women.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.067
GPT teacher head0.403
Teacher spread0.336 · 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.

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

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