Assessing husbands’ knowledge and willingness regarding postpartum sexual resumption: a study of male partners in the Bongo District
Bibliographic record
Abstract
BACKGROUND: Postpartum sexual activity is frequently resumed earlier than is recommended in low-resource settings, endangering the health of the mother. Postpartum decision-making is heavily impacted by partner-related and cultural factors, especially in rural and patriarchal environments. Research that has been published thus far has been focused on the perspectives of women, with little consideration given to the potential influence of male partners on postpartum sexual behavior. AIM: This study aimed to assess the knowledge level of husbands regarding the effects of early sexual resumption after childbirth and their willingness to wait for their wives to feel ready to resume sexual activities in the Bongo District. METHODS: Utilizing a quantitative cross-sectional design, data were collected from 92 male partners of young women through a closed-ended questionnaire, which included Likert-scale items measuring perceptions related to postpartum sexual health. RESULTS: Descriptive statistics revealed a moderate awareness of physical changes post-childbirth and a lower knowledge of common issues like hormonal fluctuations. Additionally, husbands exhibited a strong willingness to support their wives, with high scores for prioritizing their feelings about intimacy and emotional support. Regression analysis indicated a significant relationship between husbands' knowledge levels and their attitudes toward sexual resumption, indicating a variance in attitudes. CONCLUSION: This study's findings highlighted the formulation of gender-sensitive postpartum policies that needed the involvement of male partners in postnatal education, fostering shared responsibility and mitigating early sexual resumption hazards.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".