School of Health Science and Education, Harokopio University, Athens, Greece.
Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Sant Boi de Llobregat, Spain.
Appl Neuropsychol Adult. 2023 Jan-Feb;30(1):110-119. doi: 10.1080/23279095.2021.1913739. Epub 2021 May 8.
Prevalence of dementia and cognitive impairment increase creating the need for identifying modifiable risk factors to reduce their burden. The aim of this study was to identify latent groups following similar trajectories in cognitive performance assessed with the verbal fluency test, as well as their determinants.
Data from English Longitudinal Study of Aging (ELSA) were studied. Latent groups of similar course through a 6-year period in the outcome variable (verbal fluency) were investigated, along with their determinants, using Group Based Trajectory Modeling (GBTM).
Four latent groups of verbal fluency trajectories were revealed. Education was the strongest predictor for a favorable trajectory, while cardiovascular disease and depression symptoms were associated with lower within each trajectory.
Cardiovascular diseases and depressive symptoms are associated with a worse course of verbal fluency through aging, implying that they might serve as targets for interventions to prevent cognitive decline in the aging population. Contrarily, higher level of education is associated with a more favorable course through aging.
痴呆和认知障碍的患病率不断增加,这就需要确定可改变的风险因素来降低其负担。本研究的目的是识别在使用语言流畅性测试评估认知表现时具有相似轨迹的潜在群组,以及它们的决定因素。
研究了英国老龄化纵向研究(ELSA)的数据。使用基于群组的轨迹建模(GBTM)研究了在 6 年期间结局变量(语言流畅性)相似的潜在群组及其决定因素。
揭示了语言流畅性轨迹的四个潜在群组。教育是有利轨迹的最强预测因素,而心血管疾病和抑郁症状在每个轨迹内都与较低的水平相关。
心血管疾病和抑郁症状与语言流畅性随年龄增长的恶化轨迹有关,这意味着它们可能成为预防老年人群认知能力下降的干预目标。相反,较高的教育水平与随年龄增长的更有利轨迹相关。