Post-stroke Depression in Jordan: Prevalence Correlates and Predictors

What is it about?

Background and aims: Post-stroke depression (PSD) is among the most frequent neuropsychiatric complications of stroke, and its associated with poor prognosis and outcomes. This study aimed to assess the prevalence of depression; its correlates and predictors among stroke patients in Jordan. Methods: A cross-sectional prospective design was utilized among a convenience sample of 198 stroke patients admitted to nine hospitals all over Jordan between April and June 2017. Face-to-face interview, using a structured questionnaire was used to collect data. Depression was assessed using depression subscale (HDS) of Hospital Anxiety and Depression scale. Predictors of depression were analyzed using ordinal logistic regression. Results: The prevalence of depression was 76%; of these, 51.6 % had were categorized as a case (HDS= 11- 21). Factors that correspondingly predicted higher depression categories (a case level of depression) were with low level of education (OR= 3.347, 95% CI= 2.920 to 23.949 , p < 0.001), having a preparatory level of education (OR= 8.363, 95% CI = 1.24 to 9.034, p = 0.017), those having comorbid diseases like diabetes and hypertension (OR= 0.401, 95% CI = 0.190 to 0.847), smoker participants (OR= 2.488, 95% CI = 1.105 to 5.604, p = 0.028), those cannot perform daily activities by themselves (OR= 3.688, 95% CI = 1.746 to 7.790, p = 0.001, and those with comorbid dysphasia (OR= 12.884, 95% CI = 4.846 to 34.25, p < 0.001). Conclusion: Post stroke depression is a significant health problem among Jordanian stroke patients. Clinicians need to consider these important predictors and intervene to assess and manage depression among patients at risk.

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Why is it important?

Background and aims: Post-stroke depression (PSD) is among the most frequent neuropsychiatric complications of stroke, and its associated with poor prognosis and outcomes. This study aimed to assess the prevalence of depression; its correlates and predictors among stroke patients in Jordan. Methods: A cross-sectional prospective design was utilized among a convenience sample of 198 stroke patients admitted to nine hospitals all over Jordan between April and June 2017. Face-to-face interview, using a structured questionnaire was used to collect data. Depression was assessed using depression subscale (HDS) of Hospital Anxiety and Depression scale. Predictors of depression were analyzed using ordinal logistic regression. Results: The prevalence of depression was 76%; of these, 51.6 % had were categorized as a case (HDS= 11- 21). Factors that correspondingly predicted higher depression categories (a case level of depression) were with low level of education (OR= 3.347, 95% CI= 2.920 to 23.949 , p < 0.001), having a preparatory level of education (OR= 8.363, 95% CI = 1.24 to 9.034, p = 0.017), those having comorbid diseases like diabetes and hypertension (OR= 0.401, 95% CI = 0.190 to 0.847), smoker participants (OR= 2.488, 95% CI = 1.105 to 5.604, p = 0.028), those cannot perform daily activities by themselves (OR= 3.688, 95% CI = 1.746 to 7.790, p = 0.001, and those with comorbid dysphasia (OR= 12.884, 95% CI = 4.846 to 34.25, p < 0.001). Conclusion: Post stroke depression is a significant health problem among Jordanian stroke patients. Clinicians need to consider these important predictors and intervene to assess and manage depression among patients at risk.

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