印度查谟和克什米尔克什米尔省社会支持对艾滋病患者生活质量的影响

M. A. Wani, R. Sankar
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引用次数: 4

摘要

自1981年以来,艾滋病仍然是公共卫生中令人担忧的问题之一。它在全球造成3900多万人死亡。在这种无声的致命疾病中,患者不仅在生理和经济上遭受痛苦,而且在心理上也遭受痛苦。他们的心理健康、心理健康和生活质量也受到影响。本研究的主要目的是调查社会支持对艾滋病患者生活质量的影响。此外,该研究努力了解男性和女性的社会支持水平和生活质量;已婚和未婚艾滋病患者。本研究以60名艾滋病患者为样本,通过有目的的抽样技术选择男女人数相等的患者。通过生活质量量表测量生活质量,并应用丰富的社会支持量表评估患者的社会支持。统计分析采用SPSS 16.0软件包进行均值、t检验、Pearson相关分析和单因素方差分析。研究结果表明,男性和已婚艾滋病患者的生活质量水平高于女性和未婚艾滋病患者;她们也比女性和未婚患者获得更多的社会支持。研究结果还表明,两个人口学变量——性别和婚姻状况——与社会支持和生活质量呈显著负相关。同时,社会支持与生活质量呈正相关。根据本研究的结果,我们可以得出结论,性别、婚姻状况以及社会支持是影响生活质量的变量。所有这三个变量都会对生活质量产生影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of Social Support on Quality of Life among AIDS Patients in Kashmir Province of Jammu and Kashmir, India
Since 1981, AIDS remains one of the alarming issues in public health. It kills more than 39 million people globally. In this silent killer disease, patients not only suffer physiologically and economically but psychologically too. Their psychological well-being, mental health and quality of life also affected. The cardinal objective behind the present research was to investigate the effect of social support on quality of life of AIDS patients. Further, the study strived to find the level of social support and quality of life among male and female; married and unmarried AIDS patients. This study consisted sample of 60 AIDS patients with equal number of male and female patients selected through purposive sampling technique. Quality of Life was measured by Quality of Life Scale and for assessment of Social Support among patients Enriched Social Support Inventory was applied. For statistical analysis Mean, t-Test, Pearson Correlation and One Way ANOVA was applied by using SPSS 16.0 version. The findings show that male and married AIDS patients have a better level of quality of life than female and unmarried AIDS patients; they also receive more social support than female and unmarried patients. The results also revealed that two demographical variables gender and marital status are negatively significant correlated with Social Support and Quality of Life. Concurrently Social Support was found positively significant correlated with quality of life. On the basis of the findings in the present study we may conclude that gender, marital status as well as Social support are influential variables in quality of life. All these three variables have their impact on quality of life.
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