4.6 Article

Longitudinal Association Between Cognition and Depression in Patients With Late-Life Depression: A Cross-Lagged Design Study

期刊

FRONTIERS IN PSYCHIATRY
卷 12, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fpsyt.2021.577058

关键词

elderly; depression; cognition; longitudinal; cross-lagged analysis

资金

  1. National Natural Science Foundation of China [82171533]
  2. Key Laboratory for Innovation Platform Plan
  3. Science and Technology Program of Guangzhou, China
  4. Science and Technology Plan Project of Guangdong Province [2019B030316001]

向作者/读者索取更多资源

This study found that depressive symptoms may lead to a decline in executive function, but not vice versa. Additionally, a decrease in scores of working memory test is predicted by depressive symptoms. The relationships between the two factors are not bidirectional.
Objectives: Although previous studies have extensively confirmed the cross-sectional relationship between cognitive impairment and depression in depressed elderly patients, the findings of their longitudinal associations are still mixed. The purpose of this study was to explore the two-way causal relationship between depression symptoms and cognition in patients with late-life depression (LLD). Methods: A total of 90 patients with LLD were assessed across two time points (baseline and 1-year follow up) on measures of 3 aspects of cognition and depressive symptoms. The data were then fitted to a structural equation model to examine two cross-lagged effects. Results: Depressive symptoms predicted a decline in executive function (beta = 0.864, p = 0.049) but not vice versa. Moreover, depressive symptoms were predicted by a decline in scores of working memory test (beta = -0.406, p = 0.023), respectively. None of the relationships between the two factors was bidirectional. Conclusion: These results provide robust evidence that the relationship between cognition and depressive symptoms is unidirectional. Depressive symptoms may be a risk factor for cognitive decline. The decrease of information processing speed predicts depressive symptoms.

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