Exploring correlates of quality of life in older family caregivers to cancer patients.
Notice bibliographique
Résumé
186 Background: Family caregivers (FCs) have negative impacts to their physical and emotional health, and poorer quality of life (QoL) compared to non-caregivers. Most research on FCs has included heterogeneous samples, therefore little is known about specific groups such as older (age 60+) FCs. Older persons are at increased risk for health problems, may have co-morbidities, and be socially isolated. Understanding factors related to QoL may lead to interventions targeted to older FCs. The purpose of this study was to examine factors associated with QoL in older FCs to cancer patients. Methods: The data for this study are from a larger survey of FCs aged 60+, recruited from a hospital-based cancer facility. FCs were included if their care recipient had breast, prostate or colorectal cancer. QoL was measured using the MOSF-36. Analyses using descriptive statistics and Pearson’s correlations were conducted. Results: n = 168 participants consented, with n = 129 surveys returned. The majority of participants were female (60.5 %), 70 yrs old (sd 7.4), had at least a college diploma (65.2 %), were spouses of the patient 92.2%, and retired (60.5%). Mean caregiving hours per week was 24.2 (sd 26.3). Mean time as a caregiver was 31 months (45.9). The majority of patients were on treatment (75.2%) and were 71.3 yrs old (sd 7.5). The Physical Component Summary (PCS) of the MOSF-36 was significantly correlated with gender r = -.24, social support r = .25, sleep quality r = -.47, depression r = -.51, state anxiety r = -.40, and trait anxiety r = -.45 (all p’s < .01). There were significant correlations between the Mental Component Summary (MCS) and social support r = .40, sleep quality r = -.40, depression r = -.77, gender r = -.25, state anxiety r = -.72, and trait anxiety r = -.71 (all p’s < .01). The MCS was correlated with caregiving hours, r = -.197 (p < .05), however, not with patient treatment status. The PCS was not correlated with caregiving hours or patient treatment status. Conclusions: Consistent with previous FC research across different diseases, QoL was associated with gender, caregiving hours per week, social support, sleep quality, depression, and anxiety. Interventions for older FCs of cancer patients could be targeted to specific factors of overall QoL.
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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 | 0,006 | 0,016 |
| 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 | 0,000 | 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 ».