2017
DOI: 10.1080/01616412.2017.1364514
|View full text |Cite
|
Sign up to set email alerts
|

Post-stroke depression: different characteristics based on follow-up stage and gender–a cohort perspective study from Mainland China

Abstract: PSD is common in stroke survivors, and female patients have higher prevalence of PSD. Risk factors for PSD in the acute phase are different from that in the chronic phase of stroke. Female gender is an independent risk factor for PSD in the acute stage of stroke. Smoking, frontal lobe lesion, and living alone are predictive factors for PSD in the chronic stage of stroke. NIHSS score is a risk factor for PSD both in the acute and in the chronic stage of stroke. Further studies are needed to understand the mecha… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

5
27
3

Year Published

2018
2018
2022
2022

Publication Types

Select...
6
2
2

Relationship

0
10

Authors

Journals

citations
Cited by 44 publications
(35 citation statements)
references
References 43 publications
5
27
3
Order By: Relevance
“…Other causes, such as genetic and social factors, age, cognitive impairment, and access to rehabilitation programs, may also play a role in the higher prevalence of PSD in women. 37 It should also be noted that the prevalence of PSD in many studies is based on a single type of stroke; therefore, more precise studies are needed on the relationship between gender and PSD prevalence in different types of stroke.…”
Section: Discussionmentioning
confidence: 99%
“…Other causes, such as genetic and social factors, age, cognitive impairment, and access to rehabilitation programs, may also play a role in the higher prevalence of PSD in women. 37 It should also be noted that the prevalence of PSD in many studies is based on a single type of stroke; therefore, more precise studies are needed on the relationship between gender and PSD prevalence in different types of stroke.…”
Section: Discussionmentioning
confidence: 99%
“…The results of our study are in line with several other investigations that have reported a good discriminatory power for the PHQ-9, with an AUC of > 0.8. 13,17,[34][35][36] As to its validity, the PHQ-9 score can be used in 2 ways to diagnose depression. The first is an algorithmbased diagnosis for major depression, with a cut-off score of 10.…”
Section: Discussionmentioning
confidence: 99%
“…The result of this study was in line with other studies that reported a good discriminatory power of the PHQ-9, with AUC > 0.8. 15,19,[36][37][38] As to its validity, PHQ-9 score can be used in 2 ways to diagnose depression. The first way is an algorithm-based diagnosis with cut-off score of 10 to diagnose major depression.…”
Section: Discussionmentioning
confidence: 99%