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Background: Sex verification using electrocardiogram (ECG) is a new application of the biological signal. Objective: This study aimed to determine the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of an electrocardiographic score in sex verification. Methods: A total of 2442 apparently healthy fresh undergraduates who presented for health screening in a tertiary institution were recruited for the study. The technical team documented the sex of the participants and had their resting 12-lead ECG recorded according to standard protocol. Two physicians who were blinded to the participants and the recorded sex utilized Ogunlade Sex Determination Electrocardiographic Score (OSDES) to determine the sex. The validity of OSDES was estimated using sex recorded by the technical team as the standard while the accuracy of scoring system was determined using receiver operating characteristic curve. Results: The mean (± standard deviation) of age of the participants was 20.71 ± 3.62 years. Among the male population, true positives (TPs), false positives (FPs), false negatives (FNs), and true negatives (TN) were 1131, 49, 90, and 1172, respectively. Among the females TP, FP, FN, and TN were 1172, 90, 49, and 1131, respectively. Among males, the sensitivity, specificity, PPV, and NPV were 92.63% (95% confidence interval [CI]: 91.02-94.03%), 95.99% (95% CI: 94.73-97.02%), 95.85% (95% CI: 94.55-96.91%), and 92.87% (CI: 91.31-94.23%) respectively while among the females, the sensitivity, specificity, PPV, and NPV were 95.99% (95% CI: 94.73-97.02%), 92.63% (95% CI: 91.02-94.03%), 92.87% (95% CI: 91.31-94.23%), and 95.85% (95% CI: 91.02-94.03%) respectively. The area under curve was 0.943. Conclusion: This study concluded that ECG has a reasonable level of sensitivity and specificity with excellent accuracy in verification of sex among fresh Nigerian undergraduates.

Background: Anthropometric parameters are useful for indexing cardiovascular variables. Objectives: This study aimed at determining the association between anthropometric parameters and autonomic cardiovascular indices (ACIs) among young adults. Materials and Methods: It was a cross-sectional descriptive study involving 204 healthy young adults who were residents of Ile-Ife. The weight (kg) and height (m) were measured with health scale while body mass index and body surface area were calculated using Quetelet index and Mosteller formula, respectively. Each participant was evaluated through a battery of procedures; systolic blood pressure (SBP) response to standing, diastolic blood pressure (DBP) response to sustained handgrip (SH), resting heart rate (RHR), heart rate (HR) variability during Valsalva maneuver, deep breathing, and change of posture while the ACIs were derived as outcome of the procedures. The relationship between the anthropometry and ACI was determined by correlation. Results: Height positively correlated with SBP response to posture (r = 0.107, P = 0.128), DBP response to SH (r = 0.143, P = 0.041), and heart rate response to deep breathing (HDB) (r = 0.043, P = 0.540). Height negatively correlated with Valsalva ratio (r = −0.022, P = 0.759), 30:15 ratio (r = −0.009, P = 0.902), and RHR (−0.152, P = 0.030). Weight correlated positively with postural change in SBP (r = 0.096, P = 0.172), DBP response to SH (r = 0.091, P = 0.197), and 30:15 ratio (r = 0.005, P = 0.948). Weight negatively correlated with HR response to deep breathing (r = −0.114, P = 0.105) and RHR (r = −0.153, P = 0.029). Conclusion: Anthropometric parameters correlated weakly with most indices of cardiac autonomic function except RHR.