Sociodemographic profile and social support for post-stroke depression in Kinshasa: A rehabilitation based cross-sectional study


The World Health Organization has highlighted the emergence of non-communicable chronic diseases, including stroke, in developing countries. As a cause of death, stroke ranks first in Africa. Stroke is the foremost cause of neuropsychiatric disease, including post-stroke depression (PSD) which is a very common disease. Surveys of this condition in Congolese pa tients are virtually non-existent. The objectives of this study were to assess the prevalence of PSD in Congolese patients and identify associated sociodemographic factors. Age, sex, address, province of origin, social and professional status, education, religion and consumption habits were chosen as indicators or parameters of interest to be examined in this study. The results of descriptive analyses are presented as frequencies for categorical variables and as mean ± standard deviation for quantitative variables. The association between different variables was assessed using tables of comparisons of proportions and the Chi-square test. Logistic regression was performed to predict the occurrence of PSD. There were more male than female patients. The mean age was 54.67 ± 12.51 years. Nearly 3 fourths of the patients were aged less than 65. The family was the primary source of social support. The majority was satisfied by the social support received from the family. Just over half the study patients (53.6%) had mild to severe depression as assessed by the PHQ9. Univariate analysis and logistic regression indicated a statistically significant association between low educational level and the occurrence of PSD. However, there was no relationship between age, sex or drinking habits and the onset of PSD. The majority of the subjects were satisfied by the social support from their families. Depression was common after stroke with the occurrence of 53.6%. These results highlight the need to investigate, diagnose and treat PSD, which is a risk factor for morbidity and mortality after stroke.

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Mpembi, M. , Miezi, S. , Peeters, A. , de Partz, M. , Henrard, S. , Massamba, V. , Nsam, R. , Nzuzi, T. , Macq, J. , Dubois, V. and Constant, E. (2013) Sociodemographic profile and social support for post-stroke depression in Kinshasa: A rehabilitation based cross-sectional study. Open Journal of Epidemiology, 3, 111-117. doi: 10.4236/ojepi.2013.3318.

Conflicts of Interest

The authors declare no conflicts of interest.


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