Depression and Associated Factors Among Older Adults in a North Indian State: A Cross-Sectional Study

Decomposing rural-urban differences in depression prevalence: a cross-sectional analysis of two community-based southern Indian cohorts

Introduction

Depression is a growing public health concern in India but its prevalence is uneven across the country, possibly influenced by several sociodemographic factors. We aimed to assess the rural-urban disparity in the prevalence of depression and their associated sociodemographic and lifestyle-related factors.

Methods

Participants were middle-aged and older adults (≥45 years) from two parallel, prospective cohorts from rural (CBR-SANSCOG, n=4493) and urban (CBR-TLSA, n=972) southern India. We used cross-sectional data from the baseline clinical and biochemical assessments of the above two cohorts. The Geriatric Depression Scale (GDS-30) was used to screen for depression (cut-off ≥10). Logistic regression was used to assess the relationship between place of residence (rural vs urban) and prevalence of depression, adjusting for age, sex, education, income, marital status, Body Mass Index (BMI), alcohol use, tobacco use and number of comorbidities. The Fairlie decomposition analysis was used to decompose the rural-urban disparity.

Results

We found that the prevalence of depression was significantly higher in rural than in urban participants (14.49% vs 8.23%, p<0.001). The fully adjusted binary logistic regression model showed that rural-dwelling individuals were 1.57 times more likely to have depression than urban residents (AOR: 1.57, 95% CI: 1.03, 2.39). In the decomposition analysis, the variables included in this model (age, sex, education, income, marital status, BMI, alcohol use, tobacco use and number of comorbidities) explained 35.21% of the rural-urban disparity in the prevalence of depression, with sex and marital status being the significant contributors.

Conclusion

Participants in our rural cohort had significantly higher odds for depression as compared to their urban counterparts, with sociodemographic factors playing a key role in this disparity. This underscores the need for scaling up mental health services in the rural communities of India including training primary healthcare providers to promptly identify and manage depression.

The Validation of Beck's Depression Inventory in Patients With Systemic Diseases: A Psychometric Study at a Dental Institute

Background Depression seriously threatens the world's public health, manifesting symptoms like loss of interest, fatigue, guilt, and impaired focus. Major depressive disorder is a common problem for those with chronic systemic illnesses. Since this illness has an impact on psychosocial well-being and interacts with anxiety and stress, it is crucial to assess psychological functioning. Depression-related issue has a negative impact on oral health and can cause cognitive dysfunction, social interaction problems, and low self-esteem. For the purpose of identifying and effectively managing depression in patients with systemic illnesses undergoing dental procedures, screening tools like the Beck's Depression Inventory (BDI) were used. The BDI's benefits include its strong internal consistency, sensitivity to change, broad concept validity, adaptable criteria validity for separating depressed and nondepressed people, and global dissemination. Materials and methods A cross-sectional prospective study was carried out after receiving the necessary institutional ethical approvals, and the participant's agreement was also obtained. The questionnaire was explained to the patients. The entire participation was voluntary. Results In the current study patient's ages ranged from 34 years to maximum age of 83 years with a mean age of 59.70±13.16 years, with 40% of the population falling into the 51-65 years age group. According to the results, participants who had multiple systemic disorders were more likely to experience depression than people who had one systemic illness. The chi-square test showed no statistically significant results between the depression scores and the number of systemic diseases (p-0.574). Seventy-five per cent of individuals with depression required tooth extractions. Conclusion Those with systemic disorders who were receiving dental care in the current study showed elevated levels of depression. An important finding was the correlation between depression and tooth extraction, highlighting the need for proactive mental health assessments in dental care. Tailored interventions can mitigate the impact, enhancing the holistic well-being of patients suffering from systemic diseases and depression.