Psychosomatic Symptoms in Terminally Ill Cancer Patients and Its Relation With Using Complementary and Alternative Medicines: A Cross-Sectional Study in Southeast Iran
Notice bibliographique
Résumé
Background Cancer patients face various problems and complications, which they address through various complementary and alternative medicines (CAM). The aim of this study was to investigate the relationship between CAM and psychosomatic symptoms in terminally ill cancer patients. Methods This cross-sectional study was performed on 221 terminally ill cancer patients (based on metastatic stage and according to the physicin diagnosis) in southeastern Iran. Convenience sampling was used to select terminally ill cancer patients. Using questionnaires like the demographic and clinical information questionnaire, Edmonton Symptom Assessment Scale (ESAS), Hospital Anxiety and Depression Scale (HADS), CAM questionnaire and satisfaction with the use of CAM, the researcher was able to compile a comprehensive picture of the population. Results The mean age of the participants was 51.66 ± 13.34 years. The majority of the samples were female, married, educated, and unemployed. The mean score for the physical symptoms of the participants according to ESAS was 22.25 ± 17.57 which was less than the midpoint of the scale (the possible score of ESAS was 0–100). Only 2.7% ( n = 6) and 0.9% ( n = 2) of the participants had mild and moderate anxiety, respectively, and the other participants' anxiety levels were normal. Only 7.7% ( n = 17) and 4.1% ( n = 9) of the participants had mild and moderate depression, respectively, and the other participants' depression levels were normal. Last year, 87.3% of the participants used at least one type of CAM. Aside from prayer, 42.1% of the participants used at least one type of CAM in the last year. Prayer was used by 83.7% of the participants, medicinal plants by 35.8%, massage by 9.5%, dietary supplements by 3.6%, wet cupping by 3.2%, relaxation and meditation by 2.7%, dry cupping by 2.4%, and acupuncture by 0.5%. The common reason for using CAM was to reduce the stress and anxiety caused by cancer and to treat it. There were no significant differences in physical and psychological symptoms between the CAM-users and non-CAM users. Conclusion Patients with cancer have a relatively low level of psychosomatic symptoms, and the primary reason for using CAM was to relieve stress and anxiety associated with cancer and treat it. However, psychosomatic symptoms were the same for CAM and non-CAM users. Because so many people with cancer use CAM, future studies should look into why and how CAM is used.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 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 ».