Predictive Factors of Depressive Symptoms in COVID-19 Patients at Srinagarind Hospital and Field Hospital Khonkean University
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Abstract
Object: To create a predictive model of depression in COVID-19 patients.
Method: A cross-sectional analysis of infected COVID-19 patients who were quarantined at Srinagarind hospital and field hospital Khonkean university. Data were collected from 1st April to 31st September 2021 with a total of 959 cases. Patients were assessed by the questionnaire containing 9 depression items (9Q), 8 suicidal risk items (8Q), 5 stress items (ST-5), and hospital anxiety and depression scale (Thai HADS). Data were analyzed using stepwise multiple linear regression.
Results: Anxiety (β=0.39, p-value=0.00) and depression (β=0.78, p-value=0.00) can predict 64% of depression (R2=0.64, F=855.34, p-value=0.00). The predictive model of depression by using raw score was 9Q = -0.09 + (0.39)HADS anxiety + (0.78)ST5.
Conclusion: Predicting factors of depression are anxiety and stress.
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