Is Cognitive Impairment a Risk Factor for Post-Stroke Depression? A Meta-Analysis Study

Authors

  • Dinda Ika Pratiwi Masters Program in Public Health, Universitas Sebelas Maret
  • Didik Tamtomo Faculty of Medicine, Universitas Sebelas Maret
  • Bhisma Murti Masters Program in Public Health, Universitas Sebelas Maret

Abstract

Background: Depression is a psychiatric complication of stroke that often occurs and had a negative impact. Every year, 15 million people who experience strokes globally are at risk of developing post-stroke depression. Cognitive disorders are often associated with the presence of post-stroke depression. Understanding of risk factors for post-stroke depression can help in clinical identification and provide early intervention to improve stroke rehabilitation better. Therefore, it is very important to identify patients at risk for depression. This study aims to analyze cognitive impairment factors in the incidence of post-stroke depression.

Subjects and Method: The meta-analysis was conducted from Pubmed, Science Direct, and Springer Link databases using "stroke", "depression", "post-stroke depression AND risk factor" keywords. The article chosen was an article published from January 1, 2009 to September 30, 2018. The data were analyzed using RevMan 5 program.

Results: 6 studies consisting of 3140 patients were selected for this study. The results of a meta-analysis showed that cognitive impairment was a risk factor for post-stroke depression. Cognitive disorder was positively and significantly associated with post-stroke depression (OR = 1.24; 95% CI= 1.03 to 1.49; p = 0.02).

Conclusion: Cognitive disorder is a risk factor for post-stroke depression.

Keywords: depression, post-stroke, cognitive impairment, risk factor, meta-analysis

Correspondence:

References

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Published
2019-04-01

Issue
Vol. 4 No. 2 (2019)

Section
flow-chart-line Articles

How to Cite
Pratiwi, D. I., Tamtomo, D., & Murti, B. (2019). Is Cognitive Impairment a Risk Factor for Post-Stroke Depression? A Meta-Analysis Study. Journal of Epidemiology and Public Health, 4(2), 81–87. Retrieved from https://jepublichealth.com/index.php/jepublichealth/article/view/128

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