Psychological Factors Influencing Adherence toNasal Continuous Positive Airway Pressure inObstructive Sleep Apnoea Patients
Notice bibliographique
Résumé
Obstructive sleep apnoea (OSA) is a chronic sleep-related breathing disorder that if left untreated leads to serious adverse health consequences, poor quality of life, and also impacts negatively on society. Continuous positive airway pressure (CPAP) is widely acknowledged as the best available treatment for moderate to severe OSA. CPAP treatment has been linked to reduced co-morbidities as well as improved quality of life. However, adherence to CPAP therapy is a major obstacle to effective long-term treatment. The aim of this study was to explore and identify predictors of CPAP adherence in a sample of patients with moderate to severe OSA. Specifically the study explored; 1) the combination of psychological factors—mood, personality self-efficacy, health locus of control, and health belief—that best predicted adherence and nonadherence to CPAP use; 2) the impact of adherent CPAP use on mood following the implementation phase; and 3) the impact of adherent CPAP use on sleep-related variables collected from polysomnography at the diagnostic phase. Traditionally, much of the research on OSA and treatment adherence has focussed on sleep-related variables that are likely to predict CPAP adherence. In contrast, the current study explored the predictive efficacy of psychological factors. A total of 156 sleep study patients were invited to participate in the present study with 69 adherent patients participating in both the diagnostic and implementation phase and 87 nonadherent patients only participating in the diagnostic phase. The sample comprised mainly of men (65%) diagnosed with moderate to severe OSA, with a mean age of 49 years, and a mean body mass index of 32. Predictor variables included mood, self-efficacy, personality, health locus of control, and health beliefs. Results from a discriminant function analysis revealed that anger/hostility, vigour/activity and depression/dejection on the mood measure and self-efficacy, internal health locus of control, and perceived susceptibility and perceived benefits on the health belief measure were significant predictors accounting for 59% of the variance of CPAP iii adherence. Cross-validated classification showed that the overall predictive accuracy was 88%. The results also showed a positive and strong statistically significant reduction in the Apnoea- Hypopnoea Index as well as a positive and strong statistically significant increase in O2 saturation at implementation of CPAP use that demonstrated that CPAP treatment continues to remain an effective treatment option for OSA sufferers. While more research is still needed to exploring the predictive value of a range of psychological factors in relation to CPAP nonadherence in moderate to severe OSA patients the present study provides initial useful information for predicting adherence and non-adherence. This information is likely to be vital to the development and design of intervention strategies based on the health belief model to increase adherence given the prevalence of OSA and non-adherence to CPAP treatment.
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,002 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,007 | 0,006 |
| Études des sciences et des technologies | 0,002 | 0,003 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,005 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,002 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».