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Record W4411656757 · doi:10.51847/9hcxyjx9un

10.51847/9hCXYjx9UN

2000· article· en· W4411656757 on OpenAlexvenueno aff

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Wellbeing Research
Canadian institutionsnot available
Fundersnot available
KeywordsChildbirthObstetricsPsychologyMedicinePregnancyBiology

Abstract

fetched live from OpenAlex

Introduction: Pregnancy is a period in which there are many physical, hormonal and emotional changes in the health status of pregnant women and have a significant impact on the health-related quality of life.The purpose of this study was to determine the effect of childbirth preparation classes on health-related quality of life in pregnant women.Methods: This was a semi-experimental interventional study that was carried out on 80 pregnant women referring to Sina hospital in Karoon city, Iran.Selection of samples was purposeful.For the intervention group, childbirth preparation classes were held in eight sessions from 20th week of pregnancy.The control group only received routine prenatal visits.At the end of pregnancy, quality of life was measured by SF36 questionnaire and compared in two groups.Results: According to the findings of this study, the intervention group had a significantly better score of quality of life in comparison with the control group.The intervention group received higher scores in terms of general health, physical function, physical pain, mental health, limitation of movement due to emotional problems and social function than the control group.Other dimensions including limitation of movement due to physical problems and feeling of jolly were statistically similar in both groups.Conclusion: Improving the information and knowledge of mothers in the form of holding childbirth preparation classes can improve the health of mothers and their quality of life.In order to achieve the health of mothers, it is better to more focus on the dimensions of limitation of movement due to physical problems and Feel jolly.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.692
Threshold uncertainty score0.474

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.9990.999

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 head0.034
GPT teacher head0.378
Teacher spread0.344 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2000
Admission routes1
Has abstractyes

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