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老年糖尿病患者纵向认知功能的变化是否受抑郁症状轨迹类别的影响?

Is the change in longitudinal cognitive function in older adults with diabetes affected by trajectory classes of depressive symptoms?

机构信息

College of Nursing, Seoul National University, Seoul, South Korea.

Center for Human-Caring Nurse Leaders for the Future by Brain Korea 21 (BK 21) four project, College of Nursing, Seoul National University, Seoul, South Korea.

出版信息

Public Health Nurs. 2024 Sep-Oct;41(5):1006-1015. doi: 10.1111/phn.13372. Epub 2024 Jul 25.

DOI:10.1111/phn.13372
PMID:39054273
Abstract

OBJECTIVE

This study aims to identify classes based on the trajectory of depressive symptoms and to examine the impact of trajectory classes of depressive symptoms on longitudinal changes in cognitive function in older adults with diabetes.

METHODS

This is a secondary data analysis of 572 older adults with diabetes using data from the 5th (2014) to 8th (2020) wave of the Korean longitudinal study of aging. Analysis of latent class growth and the effect of trajectories of depressive symptoms on cognitive function was examined using a latent growth curve model. This analysis has been found to be functional in change trajectories and in describing the direction of the trajectory.

RESULTS

The trajectory of depressive symptoms was classified into four classes: low-stable (36.89%), high-decreasing (20.28%), low-increasing (18.71%), and high-persistent (24.13%). Compared with the high-persistent class, higher initial levels of cognitive function were observed in the high-decreasing and low-stable classes. Compared with the high-persistent class, a slower rate of cognitive decline was observed in the low-stable class (B = 0.410, p = .021).

CONCLUSIONS

Continuous monitoring of depressive symptoms and early management of depressive symptoms for community-dwelling older adults with diabetes can help prevent the cognitive decline and delay the deterioration of cognitive function.

摘要

目的

本研究旨在基于抑郁症状轨迹对患者进行分类,并探讨抑郁症状轨迹类别对糖尿病老年患者认知功能纵向变化的影响。

方法

本研究对使用韩国老龄化纵向研究第 5 波(2014 年)至第 8 波(2020 年)数据的 572 名糖尿病老年患者进行了二次数据分析。采用潜在类别增长模型分析抑郁症状轨迹对认知功能的影响。该分析已被证明在变化轨迹和描述轨迹方向方面具有功能。

结果

抑郁症状轨迹可分为四类:低稳定型(36.89%)、高下降型(20.28%)、低增长型(18.71%)和高持续型(24.13%)。与高持续型相比,高下降型和低稳定型的认知功能初始水平更高。与高持续型相比,低稳定型的认知衰退速度较慢(B=0.410,p=.021)。

结论

对社区居住的糖尿病老年患者进行持续的抑郁症状监测和早期抑郁症状管理,有助于预防认知能力下降,延缓认知功能恶化。

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