Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder affecting women's metabolic health, with significant implications for obesity and related complications. This study examines the relationship between dietary patterns and anthropometric indicators, specifically body mass index (BMI) and waist-hip ratio (WHR), in women diagnosed with PCOS. Using a cross-sectional design, dietary intake data were collected through validated food frequency questionnaires from 100 women with PCOS. The analysis focused on three dietary patterns: high-protein, high-carbohydrate, and mixed diets. The findings reveal that high-protein diets are significantly associated with lower BMI and WHR, indicating better weight management and reduced central obesity. In contrast, high carbohydrate intake is linked to increased BMI and WHR, highlighting a higher risk of obesity-related metabolic complications. Mixed diets showed negligible effects on these anthropometric measures. These results underscore the importance of macronutrient composition in dietary interventions for PCOS. Despite the limitations of self-reported dietary data and the cross-sectional nature of the study, the findings advocate for personalized dietary recommendations emphasizing increased protein and reduced carbohydrate intake to manage PCOS effectively. The study calls for longitudinal research to further elucidate the impact of dietary patterns on metabolic health in PCOS and to develop precise dietary guidelines. This research enhances the understanding of nutritional therapy's role in managing obesity and improving metabolic outcomes in women with PCOS.