Hubungan Faktor Demografi Dan Dukungan Sosial Dengan Depresi Pascasalin
Bibliographic record
Abstract
Postnatal depression is a mental disorder after the birth of her child and can last up to one year. Maternal postnatal mood disorder not an easy matter. The impact can be devastating life of the mother and her child. Currently there are many women who experienced postnatal depression but has not been detected. The purpose of this study was to analyze the relationship between demographic factors and social support in postnatal depression in The Working Area Of Puskesmas Kayamanya.The design of this research is cross sectional. Research subjects were followed for 56 respondents ranging from childbirth to 7 days postnatal. The samples was chosen by using consequtive sampling. The instruments used in this research are the Edinburgh Postnatal Depression Scale (EPDS) and standard social support questionnaire. The results reveal that the age is not significantly associated with depression postnatal (p = 0.514) and education (p = 0.154); but it is significantly parity (p = 0.012); economic status (p = 0.030), social support include the family (p = 0.035); friends (p = 0.017); and midwives (p = 0.005). The multivariate analysis reveals that midwifes support (wald=4,236; p= 0,04) is the dominant factor causing postnatal depression.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".