Biopsychosocial Determinants of Polycystic Ovary Syndrome (PCOS): A Case Control Study

Abstract

The current study explores selected biopsychosocial factors and investigates their relationship and influence on the diagnosis of Polycystic Ovary Syndrome (PCOS). Quantitative methodology was employed to gather data from the Outpatient Department (OPD) of a tertiary care hospital. Utilizing convenience sampling, data were collected from both cases (n=69) and controls (n=138). Biological and psychosocial variables were measured. Subsequent analysis was conducted through binary logistic regression. Selective Biopsychosocial factors including metabolic syndrome, BMI, Depression, Anxiety, Low self-esteem, and lack of perceived social support seem associated with the diagnosis of PCOS. The presence of sampling bias and use of self-reported measures may limit the results of the study. The findings underscore the need for comprehensive screening and management strategies for metabolic comorbidities and weight management in PCOS. Integrating mental health screening and social support interventions is crucial for holistic PCOS management.