Abstract
BACKGROUND: In pregnancy, women experience physiological changes which could increase the risk of insulin resistance, and metabolic syndrome later in life. This study assessed the risk of future metabolic syndrome among pregnant women with either glycosuria or proteinuria at different gestational ages. METHODS: Eight-Six participants were recruited from health facilities in South-west, Nigeria and they were in three categories: those with glycosuria (n = 32), proteinuria (n = 27), and control (n = 27), based on urinalysis result. Data were analyzed using IBM SPSS Statistics for Windows version 25.0 (IBM Corp, Armonk, NY, USA). Groups were compared using one way ANOVA. Association between the variables was determined using Pearson correlation. Linear regression analysis was performed to predict the risk of future metabolic syndrome. RESULTS: Participants with glycosuria, proteinuria and control were 29.19 (SD 6.04), 27.15 (SD 4.37) and 25.74 (SD 4.67) years respectively. Glycosuria group had higher (P = 0.01) triglycerides, HOMA-IR, and a-positive association (P = 0.001) between, FBG and HBA1C. Linear regression analysis predicted future risk of metabolic syndrome (P< 0.05) for those with glycosuria and proteinuria respectively with their plasma insulin values. CONCLUSION: Healthy volunteers with glycosuria and proteinuria are at greater risk of developing metabolic syndrome.