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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Qiu, Xiuli Wang, He Lan, Yan Miao, Jinfeng Pan, Chensheng Sun, Wenzhe Li, Guo Wang, Yanyan Zhao, Xin Zhu, Zhou Zhu, Suiqiang |
| Abstract | Background Post-stroke depression (PSD) is one of the most common neuropsychiatric complications after stroke. The occurrence, development and prognosis of PSD have long been different between males and females. The main purpose of this study was to explore the influencing factors of PSD at 3 months in males and females, and construct random forest (RF) models to rank the influencing factors. Methods This is a prospective multicenter cohort study (Registration number: ChiCTR-ROC-17013993). Stroke patients hospitalized in the department of Neurology of three hospitals in Wuhan were enrolled from May 2018 to August 2019. Scale assessments were performed 24 hours after admission and 3 months after stroke onset. Binary logistic regression analysis was used for univariate and multivariate (stepwise backward method) analysis, when p was less than 0.05, the difference between groups was considered statistically significant. Lastly, the RF models were constructed according to the results of multivariate regression analysis. Results This study found that several baseline variables were associated with PSD at 3 months in males and females. RF model ranked them as stroke severity (OR [odds ratio] =1.17, p < 0.001, 95%CI [confidence interval]:1.11–1.24), neuroticism dimension (OR = 1.06, p = 0.002, 95%CI:1.02–1.10), physical exercise (OR = 0.62, p = 0.007, 95%CI:0.44–0.88), sleeping time < 5 h (OR = 1.91, p = 0.006, 95% CI:1.20–3.04) and atrial fibrillation (OR = 4.18, p = 0.012, 95%CI:1.38–12.68) in males. In females, RF model ranked them as psychological resilience (OR = 0.98, p = 0.015, 95%CI:0.96–1.00), ability of daily living (OR = 0.98, p = 0.001, 95%CI:0.97–0.99), neuroticism dimension (OR = 1.11, p = 0.002, 95%CI:1.04–1.18) and subjective support (OR = 1.11, p < 0.001, 95%CI:1.05–1.78). Conclusion The study found influencing factors of PSD at 3 months were different in males and females, and construct RF models to rank them according to their importance. This suggests that clinicians should focus their interventions on sex-specific influencing factors in order to improve the prognosis of PSD patients. Trial registration ChiCTR-ROC-17013993. |
| Related Links | https://bmcpsychiatry.biomedcentral.com/counter/pdf/10.1186/s12888-022-04467-0.pdf |
| Ending Page | 9 |
| Page Count | 9 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| DOI | 10.1186/s12888-022-04467-0 |
| Journal | BMC Psychiatry |
| Issue Number | 1 |
| Volume Number | 22 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2022-12-20 |
| Access Restriction | Open |
| Subject Keyword | Psychiatry Psychotherapy Post-stroke depression Random forest model Sex difference |
| Content Type | Text |
| Resource Type | Article |
| Subject | Psychiatry and Mental Health |
| Journal Impact Factor | 3.4/2023 |
| 5-Year Journal Impact Factor | 4.2/2023 |
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