Postpartum Female Sexual Dysfunction and Related Factors in Iranian Women: A Systematic Review and Meta-analysis
Bibliographic record
Abstract
Background: Female sexual dysfunction in the postpartum period is one of the major health problems of women. The aim of this study was to determine the postpartum sexual dysfunction and its related factors in Iranian women. Methods: In this systematic review and meta-analysis study, Iranian articles published at PubMed, Scopus, Web of Science, ProQuest, Magiran, Scientific Information Database (SID), IranMedex, IranDoc were searched by keywords related to "postpartum sexual function". The inclusion criteria were as the studies, which used standard tools to measure sexual function, and included observational studies (from 1990 to 2019). Egger statistical test was used to investigate the probability of bias in the publication bias. Data were analyzed using STATA 14 software. Findings: Finally, after quality assessment by Newcastle Ottawa instrument, 12 articles were analyzed. The overall mean score of sexual function after sensitivity analysis was 22.30 [95% confidence interval (CI): 21.8-22.8], the lowest score was in the sexual desire dimension as 3.52 (95% CI, 3.2-20-3.84), and in the sexual satisfaction dimension, it was 4.28 (5 95% CI: 4.4-4.03). Factors related to sexual function included individual and demographic factors, medical factors, and emotional and psychological factors. Conclusion: The postpartum sexual function in Iranian women is influenced by several factors; so it is recommended to pay attention to the sexual dimension of women's postpartum counseling, and to plan interventional measures in this regard.
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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 | 0.010 | 0.023 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.025 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".