乌尔米亚老年人退休满意度的预测因素：一项横断面研究。
Predictors of retirement satisfaction in the older adults of Urmia: a cross-sectional study.
机构信息
Social Determinants of Health Research Center, Clinical Research Institute, Urmia University of Medical Sciences, Urmia, Iran.
Department of Public Health, School of Public Health, Urmia University of Medical Sciences, Urmia, Iran.
出版信息
BMC Geriatr. 2022 Jul 5;22(1):557. doi: 10.1186/s12877-022-03259-1.
BACKGROUND
Retirement is a challenge that, as a process, influences the individual's role, status, life patterns, expectations, and available resources. Therefore, the present study aims at determining the predictors of retirement satisfaction among men in the city of Urmia.
METHODS
In this descriptive-analytical study, 140 retired men living in Urmia were selected by multi-stage sampling method. The instruments used are the Retirement Satisfaction Scale, life satisfaction, and quality of life questionnaires. Data were analyzed in SPSS v.21 using descriptive statistics, one-way ANOVA, and regression at a significance level of p ≤ 0.05.
RESULTS
Based on the results of this study, the mean score of retirement satisfaction was 115.37 + 10.13 and there was no significant difference (p = .068) in retirement satisfaction of the retired men based on level of education. Also, the retrospective multiple linear regression model indicated that 44.4% of the variance of retirement satisfaction score is predicted by two subscales of life satisfaction and quality of life.
CONCLUSION
According to the results, it seems that life satisfaction and quality of life are inseparable, effective factors in retirement satisfaction, so, to promote retirement satisfaction in all of its scales and subscales, it is recommended to improve these two factors.
背景
退休是一个过程，会影响个人的角色、地位、生活模式、期望和可用资源。因此，本研究旨在确定乌尔米亚市男性退休满意度的预测因素。
方法
在这项描述性分析研究中，采用多阶段抽样法选择了 140 名居住在乌尔米亚的退休男性。使用的工具是退休满意度量表、生活满意度和生活质量问卷。使用 SPSS v.21 进行数据分析，采用描述性统计、单因素方差分析和回归分析，显著性水平为 p≤0.05。
结果
根据这项研究的结果，退休满意度的平均得分为 115.37+10.13，且根据教育程度，退休男性的退休满意度无显著差异（p=0.068）。此外，回顾性多元线性回归模型表明，生活满意度和生活质量两个分量表可以预测退休满意度评分的 44.4%。
结论
根据研究结果，生活满意度和生活质量似乎是不可分割的、影响退休满意度的有效因素，因此，为了提高所有退休满意度的规模和分量表，建议提高这两个因素。
Zotero 插件