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Metabolic Syndrome During Pregnancy: Prevalence and Determinants Among Pregnant Women Followed-Up at the Dschang District Hospital, West Region of Cameroon

PURPOSE: Metabolic syndrome (MS) during pregnancy constitutes a serious threat to the mother and child health that will shortly become a major public health issue, especially in developing countries. However, in Cameroon, epidemiological data on MS during pregnancy are still scarce. The aim of this...

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Autores principales: Dabou, Solange, Ongbayokolak, Nadine Sylvie, Fonkeng Sama, Leonard, Matene Foking, Emerveline, Kamdom, Nadine Mélaine, Telefo, Phélix Bruno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8906707/
https://www.ncbi.nlm.nih.gov/pubmed/35280500
http://dx.doi.org/10.2147/DMSO.S348040
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author Dabou, Solange
Ongbayokolak, Nadine Sylvie
Fonkeng Sama, Leonard
Matene Foking, Emerveline
Kamdom, Nadine Mélaine
Telefo, Phélix Bruno
author_facet Dabou, Solange
Ongbayokolak, Nadine Sylvie
Fonkeng Sama, Leonard
Matene Foking, Emerveline
Kamdom, Nadine Mélaine
Telefo, Phélix Bruno
author_sort Dabou, Solange
collection PubMed
description PURPOSE: Metabolic syndrome (MS) during pregnancy constitutes a serious threat to the mother and child health that will shortly become a major public health issue, especially in developing countries. However, in Cameroon, epidemiological data on MS during pregnancy are still scarce. The aim of this study was to determine the prevalence and determinants of MS among pregnant women followed-up at the Dschang District Hospital (DDH), in the west region of Cameroon. PATIENTS AND METHODS: This study was a hospital based cross-sectional study, carried out among pregnant women followed-up at the antenatal care unit of the DDH, from September 2019 to June 2020. Participants were assessed on sociodemographic, lifestyle parameters, and dietary habits using standardized and structured questionnaires. Anthropometric parameters, blood pressure, and biochemical markers were measured using standard procedures. Metabolic syndrome was diagnosed using the HNLBI/AHA definition, modified for pregnant women by Chatzi et al. A participant was recorded as having MS if presenting at least three of the following criteria: Pre-gestational BMI >30 kg/m2; triglycerides ≥150 mg/dl; HDL cholesterol <50 mg/dl; SBP ≥130/DBP ≥85 mm/Hg; and fasting blood glucose ≥100 mg/dl. RESULTS: Six hundred and four (604) pregnant women were included in the study. The prevalence of MS was 17.88% (95% CI: 15.03–21.14) and its most frequent individual components were low levels of HDL-cholesterol (66.23% (95% CI: 62.36–69.88)) and hypertriglyceridemia (28% (95% CI: 54.31–62.15)). Grand multiparous shows a higher risk of presenting MS (OR:3.06, 95% CI: 1.24–7.12; p = 0.011) compared to nulliparous. Pregestational BMI appears to be the best predictor of MS during pregnancy even after adjustment on age, parity, lifestyle and dietary habits (OR: 46.46, 95% CI: 15.58–138.49; p ˂ 0.0001). CONCLUSION: The prevalence of MS on pregnant women in the Dschang health district is 17.88% (95% CI: 15.03–21.14) and its major determinant is pre-gestational obesity. This work provides quality preliminary data for the design and improvement of prevention strategies.
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spelling pubmed-89067072022-03-10 Metabolic Syndrome During Pregnancy: Prevalence and Determinants Among Pregnant Women Followed-Up at the Dschang District Hospital, West Region of Cameroon Dabou, Solange Ongbayokolak, Nadine Sylvie Fonkeng Sama, Leonard Matene Foking, Emerveline Kamdom, Nadine Mélaine Telefo, Phélix Bruno Diabetes Metab Syndr Obes Original Research PURPOSE: Metabolic syndrome (MS) during pregnancy constitutes a serious threat to the mother and child health that will shortly become a major public health issue, especially in developing countries. However, in Cameroon, epidemiological data on MS during pregnancy are still scarce. The aim of this study was to determine the prevalence and determinants of MS among pregnant women followed-up at the Dschang District Hospital (DDH), in the west region of Cameroon. PATIENTS AND METHODS: This study was a hospital based cross-sectional study, carried out among pregnant women followed-up at the antenatal care unit of the DDH, from September 2019 to June 2020. Participants were assessed on sociodemographic, lifestyle parameters, and dietary habits using standardized and structured questionnaires. Anthropometric parameters, blood pressure, and biochemical markers were measured using standard procedures. Metabolic syndrome was diagnosed using the HNLBI/AHA definition, modified for pregnant women by Chatzi et al. A participant was recorded as having MS if presenting at least three of the following criteria: Pre-gestational BMI >30 kg/m2; triglycerides ≥150 mg/dl; HDL cholesterol <50 mg/dl; SBP ≥130/DBP ≥85 mm/Hg; and fasting blood glucose ≥100 mg/dl. RESULTS: Six hundred and four (604) pregnant women were included in the study. The prevalence of MS was 17.88% (95% CI: 15.03–21.14) and its most frequent individual components were low levels of HDL-cholesterol (66.23% (95% CI: 62.36–69.88)) and hypertriglyceridemia (28% (95% CI: 54.31–62.15)). Grand multiparous shows a higher risk of presenting MS (OR:3.06, 95% CI: 1.24–7.12; p = 0.011) compared to nulliparous. Pregestational BMI appears to be the best predictor of MS during pregnancy even after adjustment on age, parity, lifestyle and dietary habits (OR: 46.46, 95% CI: 15.58–138.49; p ˂ 0.0001). CONCLUSION: The prevalence of MS on pregnant women in the Dschang health district is 17.88% (95% CI: 15.03–21.14) and its major determinant is pre-gestational obesity. This work provides quality preliminary data for the design and improvement of prevention strategies. Dove 2022-03-05 /pmc/articles/PMC8906707/ /pubmed/35280500 http://dx.doi.org/10.2147/DMSO.S348040 Text en © 2022 Dabou et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Dabou, Solange
Ongbayokolak, Nadine Sylvie
Fonkeng Sama, Leonard
Matene Foking, Emerveline
Kamdom, Nadine Mélaine
Telefo, Phélix Bruno
Metabolic Syndrome During Pregnancy: Prevalence and Determinants Among Pregnant Women Followed-Up at the Dschang District Hospital, West Region of Cameroon
title Metabolic Syndrome During Pregnancy: Prevalence and Determinants Among Pregnant Women Followed-Up at the Dschang District Hospital, West Region of Cameroon
title_full Metabolic Syndrome During Pregnancy: Prevalence and Determinants Among Pregnant Women Followed-Up at the Dschang District Hospital, West Region of Cameroon
title_fullStr Metabolic Syndrome During Pregnancy: Prevalence and Determinants Among Pregnant Women Followed-Up at the Dschang District Hospital, West Region of Cameroon
title_full_unstemmed Metabolic Syndrome During Pregnancy: Prevalence and Determinants Among Pregnant Women Followed-Up at the Dschang District Hospital, West Region of Cameroon
title_short Metabolic Syndrome During Pregnancy: Prevalence and Determinants Among Pregnant Women Followed-Up at the Dschang District Hospital, West Region of Cameroon
title_sort metabolic syndrome during pregnancy: prevalence and determinants among pregnant women followed-up at the dschang district hospital, west region of cameroon
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8906707/
https://www.ncbi.nlm.nih.gov/pubmed/35280500
http://dx.doi.org/10.2147/DMSO.S348040
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