Exploring Expectations Regarding Aging and Related Influencing Factors in Older People with Type 2 Diabetes Mellitus: A Cross-Sectional Study

探讨2型糖尿病老年患者对衰老的期望及其相关影响因素:一项横断面研究

阅读:1

Abstract

PURPOSE: Improving the health behaviors of older type 2 diabetes mellitus (T2DM) patients is crucial for promoting healthy aging worldwide. Given the significant role of expectations regarding aging (ERA) in fostering healthy behaviors and improving disease outcomes, understanding its status and influencing factors in this population is essential. PATIENTS AND METHODS: The cross-sectional study was conducted from December 2023 to February 2024 at a tertiary hospital in China, where 289 elderly T2DM patients were surveyed. Self-reported questionnaires were used to assess sociodemographic and clinical data, ERA, depression, social support, diabetes self-efficacy. Data were analyzed using SPSS 26.0 software, employing Pearson correlation analysis, univariate analysis, and multiple stepwise linear regression. RESULTS: The ERA score in older T2DM patients was 39.72 ± 9.53, which was at a medium-low level. The level of ERA is negatively correlated with depression (r = -0.549, p < 0.01) and positively correlated with social support (r = 0.625, p < 0.01) and diabetes self-efficacy (r = 0.514, p < 0.01). Age, family monthly income, type of daily medication, number of sources for diabetes-related knowledge, as well as depression, social support, and diabetes self-efficacy are factors that influence ERA and can explain 59.2% of the total variance. CONCLUSION: Efforts should be made to promote ERA in older patients with T2DM. Healthcare providers should develop intervention strategies based on identifying the factors that influence the ERA in elderly T2DM patients to improve their health outcomes and enhance their health management awareness, thereby improving the quality of their later years.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。