影响肾移植后患者健康相关生活质量的社会人口因素

Q4 Medicine
H. Adeeb, I. Ullah, R. Amin
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引用次数: 0

摘要

目的:本研究的目的是确定影响肾移植受者健康相关生活质量的社会人口学因素。材料和方法:于2018年10月1日至2019年1月31日对所有登记的肾移植后患者进行普查。数据收集在肾脏疾病生活质量问卷(SF-1.3)上,并通过社会科学统计软件包(SPSS)进行分析。计算了三个主要领域的得分,即物理成分汇总(PCS)、心理成分汇总(MCS)和肾脏疾病成分汇总。通过非配对t检验比较性别、供体类型和就业的平均得分,而通过方差分析比较年龄、教育水平和移植持续时间的平均得分。结果:315例患者中,277例(87.9%)为男性,38例(12.1%)为女性。平均年龄37.26(±10.14)岁。与活体无关的移植为58.41%,而与活体相关的移植为41.58%。男性的PCS平均得分显著较高(p值=0.001),但女性的MCS平均得分显著高于(p值<0.05)。不同年龄组的PCS(p值=0.031)和MCS(p值0.001)评分存在差异。教育组在MCS方面有显著差异(p值=0.05)。无亲缘关系的活体移植受者的平均PCS评分显著较低。结论:女性、活体捐献者和年龄差异与PCS评分较低有关,而男性、年龄差异和教育程度与MCS评分较低相关。本研究表明,肾脏疾病生活质量短期-1.3(KDQOL SF-1.3)是揭示肾移植受者HRQOL评分差异的良好工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Socio-demographic Factors Affecting Health-related-quality of Life in Post-renal-transplant Patients
Objective: The objective of this study was to identify the socio-demographic factors affecting health related quality of life in renal transplant recipients. Material and Methods: A census of all registered post-renal-transplant patients was conducted from October 1, 2018, to January 31, 2019. Data were collected on a Kidney Disease Quality of Life questionnaire (SF-1.3) and analysed by Statistical Package for the Social Science (SPSS). Scores in the three main domains, physical component summary (PCS), mental component summary (MCS), and kidney disease component summary, were calculated. Mean scores for gender, type of donor, and employment were compared by unpaired t-test, while mean scores for age, level of education, and duration of transplant were compared by analysis of variance. Results: Out of 315 patients, 277 (87.9%) were males and 38 (12.1%) were females. The mean age was 37.26 (±10.14) years. Live unrelated transplants were 58.41% while live related transplants were 41.58%. Males had a significantly higher average (p-value=0.001) PCS score, but females had significantly higher average (p-value=0.05) MCS score. There was variation with respect to the PCS (p-value=0.031) and MCS (p-value=0.001) scores in the different age categories. The education groups varied significantly with respect to MCS (p-value=0.05). The recipients of live unrelated transplants had significantly lower average PCS score. Conclusion: The female gender, live related donor and variations in ages were associated with lower PCS scores, while male gender, variations in ages, and education were associated with lower MCS scores. This study demonstrates that the Kidney Disease Quality of Life Short Form-1.3 (KDQOL SF-1.3) is a good tool to reveal differences in HRQOL scores in renal transplant recipients.
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来源期刊
CiteScore
0.60
自引率
0.00%
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审稿时长
14 weeks
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