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Record W3012039095 · doi:10.36565/jab.v9i1.177

Gambaran Pengetahuan dan Sikap Ibu Hamil Tentang Prenatal Yoga di Puskesmas Putri Ayu Kota Jambi

2020· article· en· W3012039095 on OpenAlexaff
Sri Maharani

Bibliographic record

VenueJurnal Akademika Baiturrahim Jambi · 2020
Typearticle
Languageen
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsAnxietyPregnancyMedicineIncidence (geometry)PsychologyFamily medicinePsychiatry

Abstract

fetched live from OpenAlex

ABSTRACTAnxiety and fear experienced by the mother, especially primipara, can prolong the duration of labor and increase the incidence of labor by action, namely labor with cesarean section. Mental health including pregnancy anxiety has been proven to be reduced or eliminated through physical exercise. One of the recommended physical exercises is yoga because it is easy to do and is very beneficial for physical fitness and psychology. Yoga in pregnancy is more effective in reducing anxiety and depression. This study aims to describe the knowledge and attitudes of pregnant women about prenatal yoga. Quantitative research design. The subjects in this study were pregnant women trimester I, II and III in the working area of the Putri Ayu Public Health Center in Jambi. Research subjects were given questionnaires to measure the knowledge and attitudes of pregnant women regarding Prenatal Gentle Yoga. The study was conducted in the working area of the Putri Ayu Public Health Center in Jambi. The data collected was analyzed univariately. The results of the study revealed that 32 mothers who took classes in pregnant women in the working area of Putri Ayu Health Center had less knowledge about prenatal gentle yoga, namely 18 mothers (56.2%) and had a positive attitude of 25 mothers (78%). It is recommended for health workers to provide information about some of the development activities that pregnant women can do to provide comfort during pregnancy, for example with prenatal gentle yoga.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.237
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.003
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 head0.035
GPT teacher head0.284
Teacher spread0.249 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

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