Abstract
BACKGROUND: Rational dietary patterns and adequate nutritional status support athlete health and performance, while unhealthy habits may impair these outcomes. This study aimed to identify dietary patterns among Polish professional athletes using a food frequency questionnaire and assess their correlations with nutritional status indicators. METHODS: Participants included 226 elite Polish athletes (aged 16-39 years; 87 women, 139 men) from various sports disciplines. Dietary intake was assessed using a food frequency questionnaire, and dietary patterns were identified through principal component factor analysis. Nutritional status was evaluated using anthropometry, bioelectrical impedance, and selected blood biochemical markers. Spearman's rho correlations were applied to explore associations between dietary patterns and nutritional status. RESULTS: Eight dietary patterns were identified: 'High-fat', 'Sweets and beverages', 'Potentially rational', 'Vegetables and fruits', 'Meat and flour', 'Low-fat', 'Dairy', and 'Juices'. Of the two patterns considered unhealthy, 'High-fat' was associated with anthropometric indices-positively with the slenderness index and negatively with body mass index, particularly among men. Positive correlations with favorable nutritional indicators were observed for the 'Vegetables and fruits' pattern (arm muscle circumference, BMI, serum uric acid, hydration status), 'Low-fat' (body fat percentage), 'Dairy' (serum creatinine), and 'Juices' (serum creatinine, total protein, chlorine, uric acid). CONCLUSIONS: Our findings suggest that the identified dietary patterns are original and specific to Polish professional athletes. Determining the relationships between nutritional factors and anthropometric and biochemical indices may inform dietary modifications among athletes to ensure optimal nutritional status.