Assessing Knowledge and Practice Regarding the Management of Dysmenorrhea Among Students at University of Namibia Rundu Campus
Notice bibliographique
Résumé
BACKGROUND: Dysmenorrhea is a common gynaecological condition that affects the daily activities of the women who suffer from it. In the education context, female students often have to spend long hours at clinics or doctors’ appointments due to dysmenorrhoea, thus having to miss lectures when dysmenorrhea impacts adversely on their studies and academic performance. Purpose: This study sought to determine the knowledge and practice of female students at the University of Namibia, Rundu campus regarding the management of dysmenorrhea METHODOLOGY: A quantitative study was employed using a non-experimental, cross-sectional approach. The non-probability sampling method was used with convenient sampling being employed. A total of 303 fulltime female students from the University of Namibia, Rundu Campus were selected to participate in the study. Of the 303 students selected 295 completed the open-ended questionnaires which they were given. The data from the questionnaires was analysed manually and the findings presented in the form of tables, graphs and pie charts. RESULTS: The study found that dysmenorrhea was affecting 88.1% of the students at the University of Namibia, Rundu Campus. In addition, there was evidently a lack of knowledge on the management of dysmenorrhea, as 46% only of the participants appeared to possess adequate knowledge on the management of dysmenorrhea. The study also found that approximately 54.2% of the participants sought medical assistance when experiencing dysmenorrhea, 30.8% used home remedies of which 91.3% were effective, 12.3% used traditional herbs of which 90.6% were effective, while 25.3% exercised or did other activities in order to relieve pain. CONCLUSION: The findings indicated that dysmenorrhea was affecting the majority of female students on Rundu Campus although only a few of them possessed adequate knowledge on the management of dysmenorrhea and only about half (46%) of the respondents sought medical help. Recommendation: The findings indicated the need for the university to build a clinic on campus and to organise student wellness programmes which included the management of dysmenorrhoea.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,000 |
| 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) | 0,000 | 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 tête enseignante, 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 ».