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.
