Depression affects millions worldwide and is a major public health concern. Its prevalence is influenced by multiple factors, including sociodemographic elements such as age, gender, and income. In the Philippines, depression affects a significant portion of the population, particularly in rural areas. The Region 2 Trauma Medical Center (R2TMC) in Nueva Vizcaya plays a critical role in addressing mental health issues in the Cagayan Valley Region, with a notable rise in depression cases during the COVID-19 pandemic. This study aimed to explore the correlation between sociodemographic factors and depression in patients at R2TMC.

This study aimed to assess the relationship between depression and various sociodemographic factors (age, sex, marital status, income, education, etc.) among patients seeking mental health services at R2TMC. The goal is to identify the prevalence of depression within these subgroups and evaluate how sociodemographic characteristics correlate with depression.

A retrospective correlational study was conducted from June 2022 to June 2024, analyzing patient records from R2TMC’s Mental Health Outpatient Department. The sample included patients diagnosed with depression based on DSM-V criteria. Descriptive statistics and multiple logistic regression were employed to analyze the data, with ethical approval obtained from the Institutional Review Board. There were 432 participants and data were analyzed using IBM SPSS.

Findings showed varying depression prevalence across sociodemographic categories. The 19-59 age group exhibited the highest depression rates, particularly among females, single individuals, and those in lower-income classes. Unemployed respondents and those with lower educational attainment had higher depression prevalence. These patterns highlight the need for targeted mental health interventions.

The study suggests that depression interventions should be tailored to address the unique vulnerabilities of different sociodemographic groups. Policymakers and healthcare providers should consider these factors to improve mental health care accessibility and effectiveness.