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. 2018 Mar;16 Suppl 1(Suppl 1):112-116.
doi: 10.6002/ect.TOND-TDTD2017.P4.

Influence of Social, Economic, Familial, Marital Status, and Disease Adaptation on the Physical and Mental Health Dimensions of Patients Who Are Candidates for Renal Transplant

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Influence of Social, Economic, Familial, Marital Status, and Disease Adaptation on the Physical and Mental Health Dimensions of Patients Who Are Candidates for Renal Transplant

Aydan Akyüz Özdemir et al. Exp Clin Transplant. 2018 Mar.
Free article

Abstract

Objectives: End-stage renal disease is a disease with a long duration, requiring patients to live with the limitations imposed by their condition. Stressors associated with this disease are demanding, with patients dependent on support from their social environment. Here, we aimed to show the influences of familial, social, economic, and marital status on quality of life in patients with end-stage renal disease.

Materials and methods: Patients (190 women/188 men) who were under hemodialysis treatment and on transplant wait lists were included in the study. To evaluate the quality of life, patients completed the Short Form 36 health survey questionnaire voluntarily while undergoing hemodialysis treatment. All Short Form 36 questionnaire components were analyzed separately, and all social, economic, and business life dimensions were examined with another questionnaire.

Results: Significant differences were observed between single and married patients regarding physical and mental health dimensions (P < .001), with quality of life higher in single patients than in married. Patients who lived in villages had lower health quality than patients who resided in cities or towns (P < .01). Patients who were home owners and who had a job had higher degrees of health quality than those who did not (P < .01). The lowest Short Form 36 scores were in housewives and farmers (P < .001). Comparisons between patients who went home after hemodialysis versus those who went to work showed better Short Form 36 scores in working patients (P < .001). Patients with private insurance and family support had better Short Form 36 scores (P < .001). Patients who did not comply with their doctor and dietician showed the lowest health quality (P < .05). Regular or irregular drug use did not affect scores.

Conclusions: Familial, social, economic, and marital statuses, in addition to the influence of disease adaptation, independently affected the well-being of patients with end-stage renal disease.

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