Kang Christiana
Basis International School Guangzhou, Guangzhou, China.
Front Psychol. 2021 Jul 26;12:717817. doi: 10.3389/fpsyg.2021.717817. eCollection 2021.
Stroke is a prevalent disease among geriatric population, which tends to deteriorate cognitive ability and mental health. In such context, cognitive impairment and geriatric depression generate mutually deteriorating impacts on each other. Using the Health and Retirement Study, this study examined depression and cognition before, immediately after, and 2 years after the onset of stroke. Through latent growth mixture modeling, four different trajectories of depression were identified: resilience, recovery, emergent depression, and chronicity. We used demographics including gender, age, race, and ethnicity, activity of daily life, baseline cognition, and trajectories of depression to predict cognitive ability 2 years after the stroke. Both aforementioned demographic factors and pre-stroke cognition were predictive of post-stroke cognition, but the inclusion of depression trajectories further improved the predictive ability. Emergent depression and chronicity were two significant predictors of worse post-stroke cognition. This study showed the importance of considering a more specific trajectotrial interrelationship between depression and cognition in geriatric stroke patients.
中风是老年人群中的一种常见疾病,它往往会导致认知能力和心理健康恶化。在这种情况下,认知障碍和老年抑郁症会相互产生恶化影响。本研究利用健康与退休研究,对中风发作前、发作后即刻以及发作后2年的抑郁和认知情况进行了调查。通过潜在增长混合模型,确定了四种不同的抑郁轨迹:恢复力型、恢复型、新发抑郁型和慢性型。我们使用包括性别、年龄、种族和族裔在内的人口统计学数据、日常生活活动、基线认知以及抑郁轨迹来预测中风后2年的认知能力。上述人口统计学因素和中风前认知均能预测中风后认知,但纳入抑郁轨迹进一步提高了预测能力。新发抑郁型和慢性型是中风后认知较差的两个重要预测因素。本研究表明,在老年中风患者中考虑抑郁与认知之间更具体的轨迹相互关系具有重要意义。