Predictors of Depression Among Cancer Patients Attending Lagos State University Teaching Hospital Ikeja, Lagos State, Nigeria (Published)
This study aims to identify the predictors of depression among cancer patients attending Lagos State University Teaching Hospital, Ikeja, Lagos. The specific objectives include examining the sociodemographic characteristics and clinical factors (cancer stage, treatment modalities, physical symptoms) associated with depression. A descriptive, cross-sectional design was adopted, targeting cancer patients above 18 years of age attending the oncology clinic for chemotherapy and follow-up appointments. The sample size was calculated to be 213 participants, selected using a non-probability convenient sampling technique. Data was collected using a self-administered questionnaire comprising sociodemographic data, the Patient Health Questionnaire-9 (PHQ-9), and the Distress Thermometer. The results revealed that age is a significant sociodemographic predictor of depression among cancer patients, with older age groups experiencing higher levels of depressive symptoms. Clinical factors, particularly cancer treatments like chemotherapy and radiotherapy, were significantly associated with increased depression levels. Emotional problems such as nervousness, sadness, and worry were prevalent, highlighting the need for comprehensive care addressing both physical and psychological aspects. The study’s hypotheses testing confirmed a strong positive relationship between cancer treatments and higher depression levels, as well as between age and depression experience. These findings emphasize the importance of integrating psychological support with cancer treatment, especially for older patients and those undergoing intensive treatments. Tailored interventions focusing on emotional well-being and managing treatment side effects could improve the overall quality of life for cancer patients. Future research should explore specific psychosocial interventions to mitigate depression among this vulnerable population.
Keywords: Cancer, Depression, cancer patients, predictors