(202) Baseline Reproductive and Sexual Health Knowledge Among Undergraduate Students in Manitoba, Canada
Notice bibliographique
Résumé
Abstract Introduction Many undergraduate students are newly sexually active adults with unsafe sexual practices. While sexual education curriculums exist, their understanding of reproductive and sexual health is unknown. Objective We sought to assess undergraduate students' knowledge and attitudes on reproductive and sexual health. Our aim was to identify variables associated with knowledge deficiencies. Methods A novel, cross-sectional questionnaire was created with local expert input. The survey assessed respondents’ demographics, attitudes, and knowledge of contraception/family planning, sexually transmitted infections (STIs), and infertility. The survey was distributed online from January to March 2021 to undergraduate students at two universities in Manitoba, Canada, through their students’ unions. Local ethics board approval was obtained, participation was voluntary, and data was anonymized. After calculating median and interquartile ranges according to the data distribution, categorical variables were analyzed with Chi-squared tests and continuous variables were analyzed with Kruskal-Wallis tests. Univariable and multivariable-adjusted logistic regression analysis were used to assess variables associated with knowledge differences. A p-value < 0.05 was considered statistically significant. Results There were 309 respondents out of approximately 28,816 possible undergraduate students (n=309, response rate 1.1%). Of the respondents, 239 (77.3%) were females, 146 (47.2%) were ≥22 years old, 49 (15.9%) were from a high socioeconomic status (SES), and 264 (85.4%) were from Manitoba. Few felt that their post-secondary education on contraception/family planning (26.2%), STIs (34.6%), and infertility (4.5%) was adequate. Many felt at risk of having an unplanned pregnancy (45.3%) and contracting a STI (34.6%). The overall mean knowledge score was 65.5%, with averages of 71.7% correct for STIs, 65.6% for infertility, and 59.2% for contraception/family planning. There were significant differences in knowledge scores with age (p = 0.012), location of high school completion (p = 0.004), and university attended (p=0.044). On multivariate analysis, higher knowledge scores were associated with identifying as female (male OR = 0.39, 95% confidence interval (CI): 0.18-0.87; p = 0.021), older age (age 21 OR = 6.04, 95% CI: 1.78-20.49; p = 0.004 and ≥22 years OR = 4.07, 95% CI: 1.35-12.26; p = 0.012), and university attended (University of Manitoba OR = 1.97, 95% CI: 1.11 – 3.49; p = 0.021). On subgroup analysis, family SES was associated with higher STI knowledge scores (OR = 2.19, 95% CI: 1.07 – 4.48; p = 0.032). Conclusions Undergraduate students face unique barriers in obtaining adequate reproductive and sexual health knowledge. In particular, younger males who attend smaller universities, and possibly those who are from lower SES, may be at greater risk of negative outcomes. We highlight the need for improved access to education and supports to assist undergraduate students in making more informed decisions. Disclosure No.
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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».