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Assessing metabolic syndrome prediction quality using seven anthropometric indices among Jordanian adults: a cross-sectional study

Metabolic syndrome (MSyn) is a considerable health concern in developing and developed countries, and it is a critical predictor of all-cause mortality. Obesity, specifically central obesity, is highly associated with MSyn incidence and development. In this study, seven anthropometric indices (Body...

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Autores principales: Al-Shami, Islam, Alkhalidy, Hana, Alnaser, Khadeejah, Mukattash, Tareq L., Al Hourani, Huda, Alzboun, Tamara, Orabi, Aliaa, Liu, Dongmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727133/
https://www.ncbi.nlm.nih.gov/pubmed/36473903
http://dx.doi.org/10.1038/s41598-022-25005-8
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author Al-Shami, Islam
Alkhalidy, Hana
Alnaser, Khadeejah
Mukattash, Tareq L.
Al Hourani, Huda
Alzboun, Tamara
Orabi, Aliaa
Liu, Dongmin
author_facet Al-Shami, Islam
Alkhalidy, Hana
Alnaser, Khadeejah
Mukattash, Tareq L.
Al Hourani, Huda
Alzboun, Tamara
Orabi, Aliaa
Liu, Dongmin
author_sort Al-Shami, Islam
collection PubMed
description Metabolic syndrome (MSyn) is a considerable health concern in developing and developed countries, and it is a critical predictor of all-cause mortality. Obesity, specifically central obesity, is highly associated with MSyn incidence and development. In this study, seven anthropometric indices (Body Mass Index (BMI), Waist circumference (WC), Waist-to-Height Ratio (WHtR), A Body Shape Index (ABSI), Body Roundness Index (BRI), conicity index (CI), and the Visceral Adiposity Index (VAI)) were used to identify individuals with MSyn among the Jordanian population. These indices were assessed to identify their superiority in predicting the risk of MSyn. A total of 756 subjects (410 were male and 346 were female) were met between May 2018 and September 2019 and enrolled in this study. Height, weight, and waist circumferences were measured and BMI, WHtR, ABSI, BRI, CI, and VAI were calculated. Fasting plasma glucose level, lipid profile, and blood pressure were measured. Receiver-operating characteristic (ROC) curve was used to determine the discriminatory power of the anthropometric indices as classifiers for MSyn presence using the Third Adult Treatment Panel III (ATP III) definition. MSyn prevalence was 42.5%, and obese women and men have a significantly higher prevalence. BRI and WHtR showed the highest ability to predict MSyn (AUC = 0.83 for both indices). The optimal cutoff point for an early diagnosis of MSyn was > 28.4 kg/m(2) for BMI, > 98.5 cm for WC, > 5.13 for BRI, > 0.09 m(11/6) kg(−2/3) for ABSI, > 5.55 cm(2) for AVI, > 1.33 m(3/2) kg(−1/2) for CI, and > 0.59 for WHtR with males having higher cutoff points for MSyn early detection than females. In conclusion, we found that WHtR and BRI may be the best-suggested indices for MSyn prediction among Jordanian adults. These indices are affordable and might result in better early detection for MSyn and thereby may be helpful in the prevention of MSyn and its complications.
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spelling pubmed-97271332022-12-08 Assessing metabolic syndrome prediction quality using seven anthropometric indices among Jordanian adults: a cross-sectional study Al-Shami, Islam Alkhalidy, Hana Alnaser, Khadeejah Mukattash, Tareq L. Al Hourani, Huda Alzboun, Tamara Orabi, Aliaa Liu, Dongmin Sci Rep Article Metabolic syndrome (MSyn) is a considerable health concern in developing and developed countries, and it is a critical predictor of all-cause mortality. Obesity, specifically central obesity, is highly associated with MSyn incidence and development. In this study, seven anthropometric indices (Body Mass Index (BMI), Waist circumference (WC), Waist-to-Height Ratio (WHtR), A Body Shape Index (ABSI), Body Roundness Index (BRI), conicity index (CI), and the Visceral Adiposity Index (VAI)) were used to identify individuals with MSyn among the Jordanian population. These indices were assessed to identify their superiority in predicting the risk of MSyn. A total of 756 subjects (410 were male and 346 were female) were met between May 2018 and September 2019 and enrolled in this study. Height, weight, and waist circumferences were measured and BMI, WHtR, ABSI, BRI, CI, and VAI were calculated. Fasting plasma glucose level, lipid profile, and blood pressure were measured. Receiver-operating characteristic (ROC) curve was used to determine the discriminatory power of the anthropometric indices as classifiers for MSyn presence using the Third Adult Treatment Panel III (ATP III) definition. MSyn prevalence was 42.5%, and obese women and men have a significantly higher prevalence. BRI and WHtR showed the highest ability to predict MSyn (AUC = 0.83 for both indices). The optimal cutoff point for an early diagnosis of MSyn was > 28.4 kg/m(2) for BMI, > 98.5 cm for WC, > 5.13 for BRI, > 0.09 m(11/6) kg(−2/3) for ABSI, > 5.55 cm(2) for AVI, > 1.33 m(3/2) kg(−1/2) for CI, and > 0.59 for WHtR with males having higher cutoff points for MSyn early detection than females. In conclusion, we found that WHtR and BRI may be the best-suggested indices for MSyn prediction among Jordanian adults. These indices are affordable and might result in better early detection for MSyn and thereby may be helpful in the prevention of MSyn and its complications. Nature Publishing Group UK 2022-12-06 /pmc/articles/PMC9727133/ /pubmed/36473903 http://dx.doi.org/10.1038/s41598-022-25005-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Al-Shami, Islam
Alkhalidy, Hana
Alnaser, Khadeejah
Mukattash, Tareq L.
Al Hourani, Huda
Alzboun, Tamara
Orabi, Aliaa
Liu, Dongmin
Assessing metabolic syndrome prediction quality using seven anthropometric indices among Jordanian adults: a cross-sectional study
title Assessing metabolic syndrome prediction quality using seven anthropometric indices among Jordanian adults: a cross-sectional study
title_full Assessing metabolic syndrome prediction quality using seven anthropometric indices among Jordanian adults: a cross-sectional study
title_fullStr Assessing metabolic syndrome prediction quality using seven anthropometric indices among Jordanian adults: a cross-sectional study
title_full_unstemmed Assessing metabolic syndrome prediction quality using seven anthropometric indices among Jordanian adults: a cross-sectional study
title_short Assessing metabolic syndrome prediction quality using seven anthropometric indices among Jordanian adults: a cross-sectional study
title_sort assessing metabolic syndrome prediction quality using seven anthropometric indices among jordanian adults: a cross-sectional study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727133/
https://www.ncbi.nlm.nih.gov/pubmed/36473903
http://dx.doi.org/10.1038/s41598-022-25005-8
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