特征、物理环境和心理对 II 型糖尿病患者生活质量的影响

Fivit Febriani Malik, Ridwan Amiruddin, Wahiduddin Wahiduddin, I. L. Maria, Nurzakiah Hasan, Fridawaty Rivai, Haerani Haerani
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引用次数: 0

摘要

背景:糖尿病是印度尼西亚非传染性疾病中排名较高的疾病之一。影响生活质量的因素包括物理环境和心理因素。研究目的本研究旨在探讨 Makkasar 市 Barombong 公共卫生中心 II 型糖尿病患者的特征、物理环境和心理对其生活质量的影响。研究方法:本研究是一项定量研究,采用横断面设计的分析观察法。本研究的人口规模为 578 人,根据世界卫生组织的公式计算得出样本规模为 385 人,并预先确定了排除和纳入标准。采用的抽样技术是简单随机抽样(SRS),假设检验方法是卡方检验(chi-square)。结果双变量统计分析显示,生活质量与年龄(p=0,000)、病程(p=0,000)、温度(p=0,000)、噪音(p=0,000)、积极情绪(p=0,000)、思维、学习和注意力(p=0,000)、自尊(p=0,000)之间存在关系,而与生活质量无关的变量有性别(p=0,111)、婚姻状况(p=0,228)和社会支持(p=0,645)。根据逻辑回归分析,发现对生活质量影响最大的因素是病程(p=0,000)和积极情绪(p=0,000)。结论病程长短和积极情绪是与生活质量相关的最主要变量,概率水平为 99.8%。
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Support of Characteristics, Physical Environmental and Psychological On Quality Of Life Of Patients With DM Type II
Background: Diabetes mellitus is one of the diseases that ranks high in the list of non-communicable diseases in Indonesia. Factors that can affect quality of life such as physical environment and psychological. Objective: This study aims to examine the relationship between characteristic, physical environment and psychological on quality of life of type II diabetes mellitus patients at the Barombong Public Health Center, Makkasar City. Methodology: This study is a quantitative research with an analytical observational approach using a cross-sectional design. The population size in this study is 578 individuals, sample calculation using the WHO formula yielded a sample size of 385 individuals with predefined exclusion an inclusion criteria. The sampling technique employed is simple random sampling (SRS), and the hypothesis test used is chi-square. Results: Bivariate statistical analysis shows that there is a relationship between quality of life and age (p=0,000), duration of illness (p=0,000), temperature (p=0,000), noise (p=0,000), positive feelings (p=0,000), thinking, learning, and concentration (p=0,000), self-esteem (p=0,000), while variables that are not associated with quality of life are gender (p=0,111), marital status (p=0,228) and social support (p=0,645). Based on logistic regression analysis, it was found that the factors that most influence quality of life are duration of illness (p=0,000) and positive feelings (p=0,000). Conclusion: Length of suffering and positive feelings are the most dominant variables associated with quality of life with a probability level of 99.8%.
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