Background and Aim: Obesity, particularly abdominal obesity, is a major risk factor for metabolic disorders such as dysglycemia, dyslipidemia, and hypertension. Sagittal abdominal diameter (SAD) is a promising indicator of abdominal fat and is considered more accurate than traditional measures like BMI and waist circumference in predicting metabolic risk. This study aims to assess the utility of SAD as a screening tool for dysglycemia, dyslipidemia, and pre-hypertension in adults with a family history of cardiovascular risk factors. Material and Methods: A total of 100 participants (67 males, 33 females) with a family history of cardiovascular risk factors were enrolled in the study. Various anthropometric measurements, including BMI, waist circumference (WC), and SAD, were recorded. Blood samples were collected for fasting blood sugar (FBS), lipid profile, and HbA1c analysis. Blood pressure measurements were also recorded. Statistical analyses included descriptive statistics, correlation analysis, and receiver operating characteristic (ROC) curve analysis to evaluate the diagnostic performance of SAD. Results: Significant correlations were found between SAD and biochemical parameters such as FBS (r = 0.37), total cholesterol (r = 0.41), and systolic blood pressure (r = 0.39). ROC curve analysis demonstrated that SAD had higher area under the curve (AUC) values than BMI and WC in predicting dysglycemia, dyslipidemia, and pre-hypertension. The sensitivity of SAD in detecting dysglycemia was 72%, dyslipidemia 76%, and pre-hypertension 69%. Conclusion: SAD is a more accurate predictor of metabolic disorders than traditional anthropometric indices like BMI and WC. This study supports the use of SAD as a screening tool for early detection of metabolic risks, especially in individuals with a family history of cardiovascular diseases.