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Record W2047385849 · doi:10.12927/whp.2011.22346

Religion, Condom Use Acceptability and Use within Marriage among Rural Women in Malawi

2011· article· en· W2047385849 on OpenAlexvenueno aff
Adamson S. Muula, James C. Thomas, Audrey Pettifor, Ronald P. Strauss, Chirayath Suchindran, Steve Meshnick

Bibliographic record

VenueWorld health & population · 2011
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsnot available
FundersEunice Kennedy Shriver National Institute of Child Health and Human Development
KeywordsCondomDemographyDeveloping countryFamily planningMedicinePopulationHuman immunodeficiency virus (HIV)Environmental healthFamily medicineEconomic growthSociologyResearch methodology

Abstract

fetched live from OpenAlex

INTRODUCTION: Correct and consistent condom use within an HIV-discordant partnership could prevent sexual transmission of human immunodeficiency virus (HIV). METHODS: Data on ever-married women from rural Malawi were obtained from the Malawi Diffusion and Ideational Change Project (MDICP) of 2006. We assessed the strength of association between religion and acceptability of condom use within marriage in general and also when one of the partners is suspected or known to be HIV infected. RESULTS: A total of 1,664 ever-married women participated in the MDICP 2006. Of these, 66.7% believed condom use was acceptable within marriage when one partner suspects or knows that the other was HIV infected; 38.2% believed condoms were acceptable within marriage generally. Only 13.8% reported ever having used condoms within the current or most recent marriage. Multivariate analysis found no difference in acceptability of condoms within marriage between Christians and Muslims, or between Catholics and all but one of the individual denominations assessed. CONCLUSION: Christian women in rural Malawi were no more or no less likely to accept condom use than Muslim women; there was also no difference in attitude toward condom use within marriage among Malawian 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)0.003
metaresearch head score (Gemma)0.001
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 score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.133
GPT teacher head0.412
Teacher spread0.279 · 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

Citations6
Published2011
Admission routes1
Has abstractyes

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