193 Poster can Sex Differences in HRQOL Outcomes be Attributed to Gender Roles
Notice bibliographique
Résumé
The increased recognition of significant sex and/or gender differences in health related quality of life (HRQOL) outcomes and the implications for clinical practice and service delivery has led to calls for more gender sensitivity and specificity in research endeavors as well as clinical practice guidelines. Previous investigations by our group have time and again identified important sex differences in both changes in HRQOL from baseline to one year and, HRQOL outcomes of patients treated for CAD where women were observed to report poorer HRQOL measurement (HSM) when compared with men. Taking into consideration that the data had been adjusted for all known cardiac-related risk factors including recognized cardiac related psychosocial variables (depression, anxiety, and social support), we postulate that the persistent sex differences in HRQOL may be attributed to social factors such as gender roles. Recognizing the limitations of our data, (sex is defined as participants identifying themselves as male or female) we created a ‘conceptual or phantom’ variable for gender-role and used a structural equation modeling strategy to test our notion that gender-role which in this model is influenced by a respondent's biological sex, may have an effect on the noted sex differences we are finding in the HRQOL outcomes of patients with CAD.HRQOL data were collected on 2233 patients one-year following index catheterization. The results indicated that the model fit was substantially improved by the addition of the conceptualized gender-role variable. Furthermore there was a significant effect going from gender-role to QOL (−0.106, P < 0.05). Age, coronary anatomy, ejection fraction, physical limitation, anginal frequency, and gender variables in this model were able to explain 51% of the variance of HRQOL. In particular, reported physical limitations, angina frequency, and gender had large significant direct effects on HRQOL. While a substantial amount of literature has examined the correlations between gender-role attributes and a wide variety of both positive and negative outcomes, this area has not been explored in patients with cardiovascular disease. The result of this study suggests further study of the influence of gender role (using a gender role measurement) on HRQOL concept is needed.
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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 | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| 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 | 0,001 |
| 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 ».