Background: Older adults have a high prevalence of chronic conditions like arthritis with morbidities, especially depression ranging up to 40% - 70%. Therefore, it is important to explore depression in older adults with arthritis.
Aim: This study aimed to determine if any demographic and clinical factors are associated with depression in older adults aged ≥ 60 years with arthritis attending a rheumatology clinic.
Setting: This is a cross-sectional study conducted over 6 months among 127 older adults on follow-up care in a university teaching hospital in the North-Eastern region of Nigeria.
Methods: A clinical proforma with information about the type of arthritis, duration of illness, hospitalisation, use of medications, co-morbidity was utilised for the data collection. The Geriatric Depression Scale (GDS-30), sociodemographic questionnaire and clinical proforma were administered. Data were analysed using Statistical Product and Service Solutions (SPSS) version 26.0 with the level of significance set as 0.05.
Results: The mean age (± standard deviation [s.d.]) was 66.6 (± 5.5) years, with males constituting 57.5%. The prevalence of depression was 57.8%. Osteoarthritis 30.2%, while 69.8% had rheumatoid arthritis. Sociodemographic factors associated with depression include age (p = 0.049), marital status (p = 0.001), and level of education (p = 0.001). Duration of illness (p = 0.02), hospitalisation (p = 0.03), and number of medications (p = 0.01) were clinical factors associated with depression score.
Conclusion: The prevalence of depression in older people with arthritis is high and was associated with females, the widowed, no formal education; and those with long duration of illness, those using multiple medications, and those with repeated hospitalisation.
Contribution: This finding can enhance the suspicion index for depression to establish standard operating procedures, which will help to improve therapeutic practice for caring for the older adult age group.
Background: Chronic mental illnesses such as schizophrenia affect patients' functioning, making caregiving necessary although burdensome.
Aim: This study aimed to determine caregiver burden and its sociodemographic determinants in family caregivers of patients with schizophrenia attending a Psychiatric Outpatient Department (POD).
Setting: Tertiary hospital in Northern Pretoria, South Africa.
Methods: In this cross-sectional study conducted over 3 months, 300 consecutive family caregivers who attended the POD were administered a 22-item Zarit Burden Interview (ZBI-22), which has a score of 0-88, with higher values indicating more burden. Their sociodemographic characteristics were ascertained. Linear and ordinal logistic regression analyses were performed to identify determinants or predictors of total and severe burdens, respectively.
Results: Most caregivers were aged 46.0 ± 14 years, females (62%), parents (39%), of low-income status (93.7%), had secondary education (70%), resided with the patient (87%), and helped with all troublesome activities (95.3%). The median ZBI-22 score was 19.0 (interquartile range: 13.0-30.5). The determinants of both total and severe burdens were: caregiver age ≥ 50 years adjusted odds ratio (aOR): 2.55, confidence interval (CI): 1.49-4.36; residential area farther away from the hospital aOR: 1.76, CI: 1.3-2.99; increasing months of caregiving aOR: 1.0, CI: 1.001-1.009, p = 0.006; and not having another family member that needs care aOR: 0.43, CI: 0.24-0.78.
Conclusion: Having mental healthcare facilities close to residential areas and assisting caregivers aged ≥ 50 years who have multiple family members who need care may alleviate the burden.
Contribution: Predicting total and severe caregiver burdens contemporaneously is effective for identifying potential burden interventions.