Prostate-specific antigen and its derivatives in young adults occupationally exposed to quarry pollutants in southeastern Nigeria.

To evaluate the level of total prostate-specific antigen (PSA) and effect of duration of exposure to pollutants in quarry workers, 5 mls of blood sample was collected from participants: 72 male quarry workers exposed to quarry pollutants and 72 unexposed controls. PSA estimations were done using the principle of ELISA. Mean total PSA, free PSA, and free-total PSA ratio levels of quarry workers did not differ from those of controls and was below the cutoff for the risk of prostate diseases. Higher mean total PSA and free PSA were observed in workers exposed for > 3 years compared to the unexposed control and workers exposed for ≤ 3 years. Age-adjusted linear regression indicated significant association (R = 0.515; p < .001) between the duration of exposure and total PSA level in quarry workers. This study suggests that longer duration of exposure to the quarry pollutants may elevate PSA level if precautions are not taken to minimize dose of exposure.

Maximum accuracy obesity indices for screening metabolic syndrome in Nigeria: A consolidated analysis of four cross-sectional studies.

BACKGROUND: In sub-Saharan Africa, there is no precise use of metabolic syndrome (MetS) definitions and risk factors screening indices in many clinical and public health services. Methods proposed and used in Western populations are adopted without validation within the local settings. The aim of the study is to assess obesity indices and cut-off values that maximise screening of MetS and risk factors in the Nigerian population. METHOD: A consolidated analysis of 2809 samples from four population-based cross-sectional study of apparently healthy persons≥18 years was carried out. Optimal waist circumference (WC) and waist-to-height ratio (WHtR) cut points for diagnosing MetS and risk factors were determined using Optimal Data Analysis (ODA) model. The stability of the predictions of the models was also assessed. RESULTS: Overall mean values of BMI, WC and WHtR were 24.8±6.0kgm(-2), 84.0±11.3cm and 0.52±0.1 respectively. Optimal WC cut-off for discriminating MetS and diabetes was 83cm in females and 85cm in males, and 82cm in females and 89cm in males, respectively. WC was stable in discriminating diabetes than did WHtR and BMI, while WHtR showed better stability in predicting MetS than WC and BMI. CONCLUSION: The study shows that the optimal WC that maximises classification accuracy of MetS differs from that currently used for sub-Saharan ethnicity. The proposed global WHtR of 0.50 may misclassify MetS, diabetes and hypertension. Finally, the WC is a better predictor of diabetes, while WHtR is a better predictor of MetS in this sample population.