Evidence map›Paper›PMID 40568643›Full record

ArticleRwanda journal of medicine and health sciences2023

Assessment of the Risk of Future Metabolic Syndrome among Non-Hypertensive and Non-Diabetic Nigerian Pregnant Women Presenting with either Glycosuria or Proteinuria at Different Trimesters.

Oloruntoba Ayodele Ekun, Franklin Kayode Ayenogun, Nkeiruka Ogo Ogidi, Esther Ngozi Adejumo

Abstract read
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Article in Rwanda journal of medicine and health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Oloruntoba Ayodele EkunMedical Laboratory Science, College of Medicine, University of Lagos, Lagos, Nigeria.
Franklin Kayode AyenogunMedical Laboratory Science, College of Medicine, University of Lagos, Lagos, Nigeria.
Nkeiruka Ogo OgidiMedical Laboratory Science, College of Medicine, University of Lagos, Lagos, Nigeria.
Esther Ngozi AdejumoMedical Laboratory Science, Babcock University, Ilishan-Remo, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

CardiovascularGestational Diabetes MellitusGlycosuriaHyperinsulinemiaHypertension and ObesityInsulin ResistanceMetabolic SyndromeTriglycerides

Identifiers

PMID40568643
PMCPMC12110505

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.