Heterosexual female adolescents' decision-making about sexual intercourse and pregnancy in rural Ontario, Canada
Notice bibliographique
Résumé
INTRODUCTION: Rural female adolescents experience unique circumstances to sexual health care and information as compared to urban adolescents. These circumstances are largely due to their more isolated geographical location and rural sociocultural factors. These circumstances may be contributing factors to an incidence of adolescent pregnancy that is higher in rural areas than in urban cities. Thus, this higher incidence of pregnancy may be due to the ways in which rural adolescents make decisions regarding engagement in sexual intercourse. However, the rural female adolescent sexual decision-making process has rarely, if ever, been studied, and further investigation of this process is necessary. Focusing on rural female adolescents aged 16-19 years is especially significant as this age range is used for reporting most pregnancy and birth statistics in Ontario. METHODS: Charmaz's guidelines for a constructivist grounded theory methodology were used to gain an in-depth understanding of eight Ontario rural female adolescents' decision-making process regarding sexual intercourse and pregnancy, and how they viewed rural factors and circumstances influencing this process. Research participants were obtained through initial sampling (from criteria developed prior to the study) and theoretical sampling (by collecting data that better inform the categories emerging from the data). Eight participants, aged 16-19 years, were invited to each take part in 1-2-hour individual interviews, and four of these participants were interviewed a second time to verify and elaborate on emerging constructed concepts, conceptual relationships, and the developing process. Data collection and analysis included both field notes and individual interviews in person and over the telephone. Data were analyzed for emerging themes to construct a theory to understand the participants' experiences making sexual decisions in a rural environment. RESULTS: The adolescent sexual decision-making process, Prioritizing Influences, that emerged from the analysis was a complex and non-linear process that involved prioritizing four influences within the rural context. The influences that participants of this study described as being part of their sexual decision-making process were personal values and circumstances, family values and expectations, friends' influences, and community influences. When influences coincided, they strengthened participants' sexual decisions, whereas when influences opposed each other, participants felt conflicted and prioritized the influence that had the most effect on their personal lives and future goals. Although these influences may be common to all adolescents, they impact the rural female adolescent sexual decision-making process by influencing and being influenced by geographical and sociocultural factors that make up the rural context. CONCLUSIONS: This study reveals important new and preliminary information about rural female adolescents' sexual decision-making process and factors that affect it. Findings improve understanding of how rural female adolescents make choices regarding sexual intercourse and pregnancy and can be used to guide future research projects that could facilitate effective development of sexual health promotion initiatives, inform rural health policy and practices, and enhance existing sexual education programs in rural communities.
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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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».