Rush Institute for Healthy Aging, Rush University Medical Center, Chicago, Illinois, USA.
School of Medicine, Georgetown University, Washington, District of Columbia, USA.
J Gerontol A Biol Sci Med Sci. 2024 Feb 1;79(2). doi: 10.1093/gerona/glad129.
Little is known about how depressive symptoms and glial fibrillary acid protein (GFAP) concentrations taken together may influence cognitive functioning. Understanding this relationship may inform strategies for screening and early intervention to decrease the rate of cognitive decline.
This study sample includes 1 169 participants from the Chicago Health and Aging Project (CHAP), consisting of 60% Black participants and 40% White participants, and 63% female participants and 37% male participants. CHAP is a population-based cohort study of older adults with a mean age of 77 years. Linear mixed-effects regression models tested the main effects of depressive symptoms and GFAP concentrations and their interactions on baseline cognitive function and cognitive decline over time. Models included adjustments for age, race, sex, education, chronic medical conditions, body mass index, smoking status, alcohol use, and their interactions with time.
The interaction of depressive symptomology and GFAP (β = -0.105 [standard error = 0.038], p = .006) on global cognitive function was statistically significant. Participants with depressive symptoms including and above the cutoff and high log of GFAP concentrations had more cognitive decline over time, followed by participants with depressive symptoms below the cutoff and high log of GFAP concentrations, depressive symptom scores including and above the cutoff and low log of GFAP concentrations, and depressive symptom scores below the cutoff and low log of GFAP concentrations.
Depressive symptoms have an additive effect on the association between the log of GFAP and baseline global cognitive function.
对于抑郁症状和神经胶质纤维酸性蛋白 (GFAP) 浓度共同如何影响认知功能，我们知之甚少。了解这种关系可能有助于制定筛查和早期干预策略，以降低认知能力下降的速度。
本研究样本包括来自芝加哥健康与老龄化项目 (CHAP) 的 1169 名参与者，其中 60%为黑人参与者，40%为白人参与者，63%为女性参与者，37%为男性参与者。CHAP 是一项针对老年人群的基于人群的队列研究，平均年龄为 77 岁。线性混合效应回归模型测试了抑郁症状和 GFAP 浓度及其与时间的相互作用对基线认知功能和随时间的认知衰退的主要影响。模型包括年龄、种族、性别、教育程度、慢性疾病、体重指数、吸烟状况、饮酒状况及其与时间的相互作用的调整。
抑郁症状和 GFAP（β=-0.105[标准误差=0.038]，p=0.006）对整体认知功能的交互作用具有统计学意义。具有抑郁症状且包括和高于临界值和高 GFAP 浓度对数的参与者随时间推移认知衰退更多，其次是具有抑郁症状低于临界值和高 GFAP 浓度对数、抑郁症状评分包括和高于临界值和低 GFAP 浓度对数以及抑郁症状评分低于临界值和低 GFAP 浓度对数的参与者。
抑郁症状对 GFAP 对数与基线整体认知功能之间的关联具有附加效应。
