The Mediating Role of Alexithymia in the Relationship between Social Support and Death Anxiety in Hemodialysis Patients: A Structural Equation Model Analysis
Notice bibliographique
Résumé
Background and purpose: Hemodialysis patients often face various psychological challenges that can significantly affect their overall health. Alexithymia is a construct that refers to the inability to distinguish between emotions and bodily reactions, difficulty describing emotions to others, and a cognitive style that is driven by reality and concrete situations. Various studies have shown that alexithymia is significantly and positively correlated with many psychiatric disorders. Moreover, as a factor, it hurts mental health (especially anxiety) and the quality of life of hemodialysis patients. Therefore, this research aimed to determine the mediating role of alexithymia in the relationship between social support and death anxiety in hemodialysis patients. Materials and methods: This cross-sectional and analytical study was conducted on 235 patients at Sari Shahrvand dialysis center, Iran 2023. Patients were included in the study by convenient sampling method. Data collection was done using demographic information questionnaires, Templer's Death Anxiety Scale (DAS-15), Zimmet's Multidimensional Scale of Perceived Social Support (MSPSS), and Toronto Alexithymia Scale (TAS-20). Demographic information included gender, place of residence, level of education, duration of hemodialysis treatment, number of visits per week, history of underlying diseases, and history of hemodialysis. Templer's death anxiety scale includes 15 questions in the form of a 5-point Likert scale regarding thoughts of death, fear of death, talking about death, fear, and thinking about incurable diseases. Zimmet's multidimensional scale of perceived social support is a 12-question instrument in the form of a 7-point Likert scale, which was used to evaluate perceived social support from three subscales of friends, family, and significant others. The Toronto Alexithymia Scale was a 20-question questionnaire with a five-point Likert scale, with three subscales: difficulty in recognizing emotions, difficulty in describing emotions, and objective thinking (Externally oriented), which was used to evaluate alexithymia. Finally, the data was analyzed by descriptive statistics and structural equation modeling with the bootstrap method, utilizing SPSS 26 and AMOS 22. Results: The study revealed that most participants were male, comprising 58.3% of the statistical population. The average scores for death anxiety, perceived social support, and alexithymia were 38.97±10.31, 4.88±1.26, and 55.72±9.76, respectively. The results suggest that there is no statistically significant relationship between social support scores and death anxiety (B=-0.13 (-0.30, 0.04), P=0.153), nor between social support and alexithymia (B=-0.12 (-0.28, 0.09), P=0.256). However, there is a significant and direct relationship between alexithymia and death anxiety (B=0.66 (0.46, 0.82), P=0.016). Conclusion: Considering the significant and direct relationship between alexithymia and death anxiety, it is recommended that managers and healthcare planners regularly evaluate the presence of death anxiety and alexithymia among individuals and formulate targeted interventions to alleviate these conditions.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,004 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 source (Gemma direct ou Codex distillé), 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 ».