(007) THE ASSOCIATION BETWEEN MALE PARTNER SEXUAL DYSFUNCTION AND FEMALE SEXUAL DYSFUNCTION AMONG PREGNANCY PLANNING COUPLES
Notice bibliographique
Résumé
Abstract Introduction Recent research has demonstrated an association between female sexual dysfunction and slower time to pregnancy. It remains unknown, however, to what extent male partner sexual function issues influence female sexual function in the preconception period. Objective To describe female partner perception of male sexual function issues in a population of pregnancy planners, and characterize the relationship between male sexual function issues and female sexual dysfunction. Methods We used cross-sectional data from Pregnancy Study Online (PRESTO), an online preconception cohort study of pregnancy planners residing in the United States or Canada. Primary participants (those with a uterus) completed a supplementary questionnaire about sexual function which included validated questionnaires and the following question about their partner’s sexual function: “In the past 4 weeks, has your partner experienced any issues that impacted your sex life?” Participants checked all that applied from a list of options (e.g., erectile dysfunction, mental health issues). Female sexual dysfunction and distress were categorized as binary variables using established cut points from the 6-item Female Sexual Function Index and Female Sexual Distress Scale. We descriptively report the prevalence of female-reported male partner sexual function issues in the sample and compare the prevalence of female sexual dysfunction and distress among couples with and without female-reported male partner issues. In a subset of couples in which the partner enrolled and provided data themselves, we compare the concordance of female-reported vs male-reported male sexual dysfunction. Results In our sample of 3577 female participants, 18% reported their male partner experienced sexual dysfunction in the past 4 weeks. Females who reported their partner had sexual dysfunction were more likely to meet the criteria for female sexual dysfunction (23% vs 17%) and sexual distress (34% vs 16%) than those who reported no partner issue. Among those reporting a male partner issue, the most common were low libido (40%), mental health issues (34%) and erectile dysfunction (26%). In a subset of couples with data from male partners (N = 933), 3.5% of partners reported erectile issues while 5.1% of female partners reported male erectile issues. In couples in which the female reported erectile dysfunction for their partner, only 14% of the partners also reported erectile dysfunction. When the male partner reported sexual dysfunction, 23% of female reported partner erectile dysfunction. Conclusions Female-perceived male sexual dysfunction was prevalent in this cohort of pregnancy planners. The most prevalent issues reported by female participants were low libido and poor mental health in their male partners. Male sexual dysfunction was associated with female sexual dysfunction. There was high discordance between couples regarding male sexual function. Previous research suggests that males underreport sexual dysfunction; thus, male sexual dysfunction might be an important, but overlooked, component of lowered fecundability. Incorporating sexual function data from both partners in clinical and research settings may improve the validity of self-report assessments. Disclosure Any of the authors act as a consultant, employee or shareholder of an industry for: AbbVie, Inc.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».