Based on the recent study, the statistical measures used for assessing the correlations between lipid parameters, anthropometric indices, blood pressure, and biochemical risk factors include:

1. Pearson's Correlation Coefficient (r): Pearson's correlation coefficient is likely used to quantify the strength and direction of the linear relationships between various lipid parameters, anthropometric indices, blood pressure, and biochemical risk factors. This measure provides insight into the degree of linear association between these variables.

2. Spearman's Rank Correlation Coefficient (ρ): Spearman's rank correlation coefficient may be utilized to assess the strength and direction of the monotonic relationships between these variables. This measure evaluates the consistency of the relationship's direction when the linear relationship assumptions may not hold true.

These statistical measures help researchers quantify and interpret the relationships between the variables studied. By providing numerical values for the associations, these measures enable a more detailed understanding of the interplay between lipid parameters, anthropometric indices, blood pressure, and biochemical risk factors in the context of cardiovascular health and associated risk factors.