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Record W4411656514 · doi:10.51847/r3bjxalbjl

10.51847/R3BJxALBjL

2000· article· en· W4411656514 on OpenAlexvenueno aff

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsnot available
FundersZahedan University of Medical Sciences
KeywordsAnxietyPregnancyObstetricsPsychologyMedicineClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

Introduction: Pregnancy anxiety has negative consequences on maternal and fetal health, so today, various interventions have been proposed to control pregnancy anxiety.The aim of this study was to investigate the effect of yoga on the anxiety of pregnant women in their first pregnancy.Methods: A randomized clinical trial was conducted in 2012 on 60 first pregnant women aged 18-40 years old referring to comprehensive health centers of Zahedan.The subjects were randomly divided into intervention and control groups.During the 26-27 weeks of gestation in the intervention group, 24 patients, 15 sessions of yoga and 29 control groups received routine care.Data were collected by a questionnaire for demographic and pregnancy anxiety (PRAQ-R).The pre-test was done at week 26 and the post-test at 34-36 weeks, taking into account the interval of 2 weeks of intervention, and the data were analyzed using paired t-test.The software spss 16 was analyzed.Results: The mean of anxiety score before intervention was not significantly different between the two groups (p = 0.48) but after the intervention, the mean anxiety score decreased in the intervention group (p <0.0001).Statistical tests showed that there was a significant reduction in the level of anxiety after intervention in the intervention group (P = 0.001).There was no significant decrease in the control group (P = 0.11).Conclusion: Yoga exercises are effective in reducing anxiety in 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)0.000
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 score0.852
Threshold uncertainty score0.646

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.9980.996

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 head0.007
GPT teacher head0.225
Teacher spread0.218 · 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

Citations4
Published2000
Admission routes1
Has abstractyes

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