执行功能预测老年糖尿病患者的生活质量和负性情绪：一项纵向研究。
Executive function predict the quality of life and negative emotion in older adults with diabetes: A longitudinal study.
机构信息
Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, 1 University Road, East District, Tainan City 701, Taiwan.
Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, 1 University Road, East District, Tainan City 701, Taiwan; Department of Physical Therapy, College of Medicine, National Cheng Kung University, 1 University Road, East District, Tainan City 701, Taiwan.
出版信息
Prim Care Diabetes. 2022 Aug;16(4):537-542. doi: 10.1016/j.pcd.2022.05.002. Epub 2022 May 31.
AIMS
To investigate the influence of executive function (EF) on current and future quality of life (QoL) and negative emotion (NE) in older adults with diabetes.
METHODS
A total of 128 older adults with diabetes were recruited. Independent variables (demographic information, health and medical conditions, cognitive function, life function) were collected in the first year. Dependent variables (QoL and NE) were collected for 3 years. Pearson's correlation coefficient analysis and stepwise multiple linear regression analysis were performed to identify the predictors of QoL and NE.
RESULTS
EF was the strongest predictor for overall QoL and NE in all 3 years, and accounted for 23.0-36.2% and 11.1-17.1% of the variance, respectively. The second strongest predictor for overall QoL in all 3 years was pain interference, which accounted for 3.2-5.8% of the variance. Pain interference was also the second strongest predictor for NE in the second year, accounting for 5.5% of the variance.
CONCLUSIONS
The present study revealed that EF is more predictive than pain for current and future QoL and NE in older adults with diabetes. We recommend that EF be included as an indicator for diabetes surveillance, and that prevention of EF decline be a part of diabetes management plans.
目的
调查执行功能（EF）对老年糖尿病患者当前和未来生活质量（QoL）和负面情绪（NE）的影响。
方法
共招募了 128 名老年糖尿病患者。在第一年收集了自变量（人口统计学信息、健康和医疗状况、认知功能、生活功能）。在三年内收集了因变量（QoL 和 NE）。采用 Pearson 相关系数分析和逐步多元线性回归分析，确定 QoL 和 NE 的预测因素。
结果
EF 是所有 3 年整体 QoL 和 NE 的最强预测因素，分别占方差的 23.0-36.2%和 11.1-17.1%。所有 3 年整体 QoL 的第二强预测因素是疼痛干扰，占方差的 3.2-5.8%。疼痛干扰也是第二年 NE 的第二强预测因素，占方差的 5.5%。
结论
本研究表明，在老年糖尿病患者中，EF 比疼痛对当前和未来的 QoL 和 NE 更具预测性。我们建议将 EF 作为糖尿病监测的指标，并将 EF 下降的预防纳入糖尿病管理计划。
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