Decrease in Gait Speed Over Time Is Associated With Increase in Number of Depression Symptoms in Older Adults With Type 2 Diabetes

老人忧郁量表 萧条(经济学) 握力 步态 认知 物理医学与康复 医学 纵向研究 最佳步行速度 物理疗法 睡眠剥夺对认知功能的影响 心理学 精神科 抑郁症状 病理 经济 宏观经济学
作者
Inbar Lavie,Michal Schnaider Beeri,Yonathan Schwartz,Laili Soleimani,Anthony Heymann,Joseph Azuri,Ramit Ravona‐Springer
出处
期刊:The Journals of Gerontology [Oxford University Press]
卷期号:78 (8): 1504-1512 被引量:2
标识
DOI:10.1093/gerona/glad008
摘要

Abstract Background We examined the cross-sectional and longitudinal relationships of motor functions with depression in older adults with type 2 diabetes (T2D). Methods Participants (n = 984) were from the longitudinal Israel Diabetes and Cognitive Decline (IDCD) study. They were initially cognitively normal and underwent evaluations of motor functions (grip strength and gait speed) and of depression (using the 15-item version of the Geriatric Depression Scale [GDS]) approximately every 18 months. We applied Hierarchical Linear Mixed Models (HLMM) to investigate the associations between motor functions and depression adjusting for sociodemographic, cardiovascular factors, overall cognitive score, and subjective report of exhaustion. Results Participants’ baseline characteristics were 72 (±5) years of age (59.6% males), 13 (±4) years of education, Mini-Mental Status Exam (MMSE) score of 28.01 (±1.78), and a GDS score of (2 ± 2.00), consistent with normal cognitive status and lack of major affective symptomatology. Slower gait speed at baseline was associated with higher GDS scores (p = .001) and with their increase over time (p = .049). A decrease in walking speed from baseline was associated with an increase in GDS scores (p = .015). Lower grip strength at baseline was associated with higher GDS scores (p = .002), but not with trajectories in GDS scores over time. A faster decrease in grip strength from baseline was associated with a faster increase in GDS scores (p = .022). Conclusions Both gait speed and grip strength are cross-sectionally associated with depression. However, only gait speed and its decrease over time can potentially be used to predict incident depression symptoms, thus facilitating the introduction of depression prevention strategies.
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