65 岁以上老年人的生活满意度对其幸福感的影响

Sermin AĞRALI ERMİŞ, Ebru Dereceli̇
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摘要

我们的研究旨在根据一些人口统计学变量,研究 65 岁以上老年人的生活满意度对幸福感的影响。410 名 65 岁以上的女性和 399 名男性参与了研究。研究中使用的测量工具是通过 "谷歌表格 "提供给参与者的,并注意他们的自愿参与。共对 834 人进行了测量,809 份量表被认为适合进行分析。本研究使用了由 Diener 等人(15)编制、由 Dagli 和 Baysal(10)改编为土耳其语的生活满意度量表,以及由 Demirci, İ.and Ekşi, H. (12)改编的幸福感量表作为数据收集工具。数据分析采用了描述性统计、信度分析、二元变量的独立样本 t 检验、方差分析检验和两个以上变量的本非龙尼分析。结果显示,根据参与者的统计结果,他们的幸福感水平(x̄=19.90)和生活满意度水平较高(x̄=15.72)。经确定,参与者的生活满意度与其幸福感之间存在高度正相关(r=0.723)。生活满意度和幸福感水平与运动和久坐生活变量之间的方差分析结果表明,两者之间存在显著的统计学差异(P<0.05)。
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The Effect of the Life Satisfaction of Individuals Over 65 Years on Their Happiness
In our study, it was aimed to examine the effect of life satisfaction of individuals over 65 years of age on the happiness according to some demographic variables. 410 women and 399 men over 65 years of age participated in the study. The measurement tool to be used in the study was delivered to the participants via ' Google Form' and it was paid attention that they participated voluntarily. It was administered to 834 people in total and 809 scales were deemed suitable for analysis. The life satisfaction scale, which was developed by Diener et al. (15) and adapted into Turkish by Dagli and Baysal (10), and the happiness scale which was adapted by Demirci, İ.and Ekşi, H. (12), were used as data collection tools in the study. Descriptive statistics, reliability analysis, independent sample t test for binary variables, ANOVA test and Benferonni analysis for more than two variables were applied in the analysis of the data. As a result, according to the statistical results of the participants, it is seen that their happiness levels (x̄=19.90) and life satisfaction levels are high (x̄=15.72). It was determined that there was a high level of positive correlation between the life satisfaction of the participants and their happiness levels (r=0.723). As a result of the ANOVA analysis performed between life satisfaction and happiness levels and the variables of doing sports and sedentary life, it is seen that there are statistically significant differences (p<0.05).
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