Gambaran Pengetahuan dan Sikap Ibu Hamil Tentang Prenatal Yoga di Puskesmas Putri Ayu Kota Jambi
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".