[Analysis of influence factors of post-stroke depression].
OBJECTIVE
To explore the influence factors of post-stroke depression by using Hamilton's depression scale (HAMD).


METHODS
One hundred and eighty stroke survivors were involved in this study. Data were collected on age, sex, education, location of brain lesion, diagnostic stroke subtype and so on. We used multiple regressions analyzing to determine those factors that could predict Hamilton's depression scale (HAMD) scores of stroke patients.


RESULTS
The multiple regression analysis of mean scores revealed that whether receiving rehabilitation therapy or not, personality, supports of family, age, complications and economical status were predictors of the result of the patient's global post-stroke depression assessment.


CONCLUSIONS
The results of the present study call for more individually tailored. The prevalence of post-stroke depression can be influenced by multifaceted rehabilitative approaches including rehabilitation therapy, personality, supports of family, age, controlling complications and economical status.
Lan
Yue
Y
Department of Rehabilitation Medicine, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China. bluemooning@163.com
Xu
Guang-qing
GQ
Hu
Xi-quan
XQ
Li
Kui
K
Chen
Xiao-mei
XM
D000328:Adult; D000368:Aged; D003866:Depressive Disorder / Q000209:etiology / Q000523:psychology* / Q000534:rehabilitation; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D012044:Regression Analysis; D012307:Risk Factors; D020521:Stroke / Q000150:complications / Q000523:psychology*; D017741:Survivors