Correlates of psychological outcomes among family members of people with diabetes in the second Diabetes Attitudes, Wishes and Needs (<scp>DAWN</scp>2<sup>™</sup>) study
Notice bibliographique
Résumé
AIMS: To conduct a second Diabetes Attitudes, Wishes and Needs (DAWN2(™) ) study, examining the experiences of family members caring for adults with diabetes in order to identify correlates of family member psychological outcomes (generic psychological well-being, perceived quality of life, and diabetes-related burden, impact and distress). METHODS: A total of 2057 family members living with a person with diabetes and involved in their care participated in an online, telephone or in-person survey. Samples of 120 respondents were recruited in each of 17 countries. Significant (P < 0.05) correlates of psychological outcomes were identified by multi-level multiple regression. RESULTS: Outcomes were worse for family members not working because of diabetes or those who had other competing obligations. Outcomes were worse if the person with diabetes was not a partner or parent, used injected diabetes medication, or had more frequent hypoglycaemia. Outcomes were worse for family members who believed that diabetes was more severe, were more involved in diabetes care, had more conflict over diabetes care or were frustrated about not knowing how to help the person with diabetes. Outcomes were better for those who had greater support from others and felt they found good ways to help the person with diabetes. There were significant differences in outcomes among countries before and after adjustment for individual characteristics, and correlates of outcomes varied by country. CONCLUSIONS: Several modifiable risk and protective factors for family member psychological outcomes were identified in this study. Diabetes education and social support were associated with improved outcomes, especially if they were helpful in supporting people with diabetes.
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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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| 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 ».