Comparison of the Effects of Maternal Supportive Care and Acupressure (at BL32 Acupoint) on Labor Length and Infant’s Apgar Score
Bibliographic record
Abstract
<p><strong>BACKGROUND &amp; OBJECTIVES:</strong> Prolonged labor leads to increase of cesarean deliveries, reduction of fetal heart rate, and maternal as well as infantile complications. Therefore, many women tend to use pharmacological or non-pharmacological methods for reduction of labor length. The present study aimed to compare the effects of maternal supportive care and acupressure (at BL32 acupoint) on labor length and infant’s Apgar score.</p> <p><strong>METHODS:</strong> In this clinical trial, 150 women with low-risk pregnancy were randomly divided into supportive care, acupressure, and control groups each containing 50 subjects. The data were collected using a questionnaire including demographic and pregnancy characteristics. Then, the data were analyzed using Chi-square test and one-way ANOVA.</p> <p><strong>RESULTS:</strong> The mean length of the first and second stages of labor was respectively 157.0<span style="text-decoration: underline;">+</span>29.5 and 58.9<span style="text-decoration: underline;">+</span>25.8 minutes in the supportive care group, 161.7<span style="text-decoration: underline;">+</span>37.3 and 56.1<span style="text-decoration: underline;">+</span>31.4 minutes in the acupressure group, ad 281.0<span style="text-decoration: underline;">+</span>79.8 and 128.4<span style="text-decoration: underline;">+</span>44.9 minutes in the control group. The difference between the length of labor stages was significant in the three study groups (P&lt;0.001). Moreover, the frequency of Apgar score<span style="text-decoration: underline;">&gt;</span>8 in the first and 5<sup>th</sup> minutes was higher in the supportive care and acupressure groups compared to the control group, and the difference was statistically significant (P&lt;0.001).</p> <p><strong>CONCLUSION:</strong> Continuous support and acupressure could reduce the length of labor stages and increase the infants’ Apgar scores. Therefore, these methods, as effective non-pharmacological strategies, can be introduced to the medical staff to improve the delivery outcomes.</p>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".