Factors Associated with Coping Strategies among Primigravida Pregnant Women in Jakarta
Bibliographic record
Abstract
Stress in women, before and during pregnancy, may result in a negative impact on the mother and fetus. In Indonesia, the anxiety rate in primigravida pregnant women when facing labor is higher than multigravida. Every pregnant woman makes an attempt to overcome or manage stress in her pregnancy in order to adapt and cope with stress. To find out the coping ability, pregnant women should find the source of stress prior to labor. This study was conducted to determine the direct and indirect factors affecting the coping ability in primigravida pregnant women. The study used a cross sectional study method through PLS analysis. The study population consisted of primigravida pregnant women, and a sample of 200 of them was taken. The measurement results of Path Coefficients and TStatistics on the influence of variables in the structural model and overall variables showed a positive and significant effect. The T statistic value of all variables was above the critical value (1.96). The results of the PLS test indicated that the empowerment and social support variables, directly and indirectly, influenced the coping abilities. Trust, personality, lifestyle, perceptions, and attitudes had impacts directly on the coping abilities. The percentage of the direct and indirect influence between variables was 97.92%. Empowerment, social support, personality, lifestyle, perceptions, and attitudes variables had an influence on the coping abilities of primigravida pregnant women. A controlled trial study should be done to see the impact of this model on reducing the risks during pregnancy.
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".