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Record W1581654927 · doi:10.5539/gjhs.v8n2p27

Domestic Violence During Pregnancy and Women's Health-Related Quality of Life

2015· article· en· W1581654927 on OpenAlexvenueno aff
Maryam Gharacheh, Shahdokht Azadi, Nooredin Mohammadi, Simin Montazeri, Zohre Khalajinia

Bibliographic record

VenueGlobal Journal of Health Science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsnot available
FundersYasuj University of Medical SciencesIslamic Azad University
KeywordsDomestic violencePregnancyMedicineQuality of life (healthcare)Occupational safety and healthMental healthPoison controlSuicide preventionInjury preventionPsychiatryEnvironmental healthNursing

Abstract

fetched live from OpenAlex

Domestic violence during pregnancy is a major health problem with significant psychological and physical impairments for pregnant women. To assess the relationship between domestic violence during pregnancy and women's health-related quality of life (HRQoL), a cross-sectional study was conducted on 341 postnatal women who referred to urban health care centers in Gachsaran, Islamic Republic of Iran. Domestic violence was assessed using a questionnaire modified from the Abuse Assessment Screen (AAS), and Iranian version of Short Form-36 questionnaire was used to assess women's HRQoL. The findings of the study showed 44.5% of women reported experiencing domestic violence during pregnancy. All the SF-36 subscales including both physical and mental health dimensions scored lower in the abused women compared to the non-abused women, and differences between the groups in the six subscales of SF-36 except 'physical functioning' and 'bodily pain' were statistically significant (P<.05). These results suggest that domestic violence during pregnancy is associated with poor HRQoL in abused 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)0.009
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 score0.245
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.061
GPT teacher head0.407
Teacher spread0.346 · 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

Citations30
Published2015
Admission routes1
Has abstractyes

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