Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Institute for Global Health and Development, Peking University, Beijing, China.
Psychiatry Clin Neurosci. 2024 Mar;78(3):169-175. doi: 10.1111/pcn.13620. Epub 2023 Dec 7.
This study aims to assess the association between trajectories of depressive symptoms and the risk of dementia, and to compare the predictive ability of trajectories using multiple data points with depressive symptoms at a single data point.
We included 5306 older adults from the Health and Retirement Study. We assessed depressive symptoms using the Center for Epidemiology Depression Scale (CES-D), and identified its 8- year trajectories (2002-2010) using latent class trajectory modeling. We calculated hazard ratios (HR) using Cox proportional hazards models. The concordance index (C-index) was used to compare the discriminative power of the models.
We identified two trajectories of depressive symptoms, characterized by maintaining low CES-D scores, and moderate starting scores that steadily increased throughout the follow-up period. During 40,199 person-years, compared to the low trajectory, the increasing trajectory of depressive symptoms was associated with a higher risk of dementia (HR = 1.35; 95% CI: 1.09-1.67) (C-index = 0.759). For every point increase in the degree of depressive symptoms (CES-D scores) in 2010, the risk of dementia increased by 7% (95% CI: 1.03-1.12) (C-index = 0.760). The presence of depressive symptoms (CES-D scores ≥3) in 2010 was not associated with an increased risk of dementia (HR = 1.18; 95% CI: 0.98-1.43) (C-index = 0.759). The C-index values of cox models showed similar discriminative power.
The increasing trajectory of depressive symptoms at multiple data points and the degree of depressive symptoms at a single data point were associated with an increased risk of subsequent dementia among older adults.
本研究旨在评估抑郁症状轨迹与痴呆风险之间的关联,并比较使用多个数据点的轨迹与单一数据点的抑郁症状预测能力。
我们纳入了来自健康与退休研究的 5306 名老年人。我们使用中心流行病学抑郁量表(CES-D)评估抑郁症状,并使用潜在类别轨迹建模确定其 8 年轨迹(2002-2010 年)。我们使用 Cox 比例风险模型计算风险比(HR)。一致性指数(C 指数)用于比较模型的区分能力。
我们确定了两种抑郁症状轨迹,特征为保持 CES-D 评分低,以及起始评分中等,在整个随访期间稳步增加。在 40199 人年期间,与低轨迹相比,抑郁症状增加轨迹与痴呆风险增加相关(HR=1.35;95%CI:1.09-1.67)(C 指数=0.759)。2010 年抑郁症状程度(CES-D 评分)每增加一个点,痴呆风险增加 7%(95%CI:1.03-1.12)(C 指数=0.760)。2010 年存在抑郁症状(CES-D 评分≥3)与痴呆风险增加无关(HR=1.18;95%CI:0.98-1.43)(C 指数=0.759)。Cox 模型的 C 指数值显示出相似的区分能力。
多个数据点的抑郁症状增加轨迹和单一数据点的抑郁症状程度与老年人随后发生痴呆的风险增加相关。