Cargando…

Diagnostic Accuracy of Body Mass Index (BMI) When Diagnosing Obesity in a Saudi Adult Population in a Primary Care Setting, Cross Sectional, Retrospective Study

BACKGROUND: Obesity is a risk factor that leads to many chronic diseases and, unfortunately, its prevalence in Saudi Arabia is on the rise. To successfully manage obesity and its complications, patient must be accurately diagnosed. This study aims to investigate the diagnostic accuracy of body mass...

Descripción completa

Detalles Bibliográficos
Autores principales: Alammar, Muath, Alsoghayer, Suad, El-Abd, Kossay, Alkhenizan, Abdullah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368559/
https://www.ncbi.nlm.nih.gov/pubmed/32765030
http://dx.doi.org/10.2147/DMSO.S263063
_version_ 1783560619817959424
author Alammar, Muath
Alsoghayer, Suad
El-Abd, Kossay
Alkhenizan, Abdullah
author_facet Alammar, Muath
Alsoghayer, Suad
El-Abd, Kossay
Alkhenizan, Abdullah
author_sort Alammar, Muath
collection PubMed
description BACKGROUND: Obesity is a risk factor that leads to many chronic diseases and, unfortunately, its prevalence in Saudi Arabia is on the rise. To successfully manage obesity and its complications, patient must be accurately diagnosed. This study aims to investigate the diagnostic accuracy of body mass index (BMI) when diagnosing obesity within the Saudi population using body fat percentage (BF%) as the gold standard. MATERIALS AND METHODS: This is a cross-sectional study that includes a calculated sample size of 942 subjects. Subjects were recruited from family medicine clinics that were linked to King Faisal Specialist Hospital and Research Centre (KFSH&RC) in Riyadh, Saudi Arabia from January 2005 to March 2016. BF% was estimated using DEXA scan. The diagnostic accuracy of BMI was assessed by using the WHO and the American Association of Clinical Endocrinologists and American College of Endocrinology (AACE/ACE) reference standard for obesity of BF% >25% in men and >35% for women. RESULTS: Findings indicate, out of the study population, 29% of men and 53% of women are obese using BMI-defined obesity cut-off point 30 kg/m(2). The prevalence of obesity was 83.9% and 97.3% in men and women, respectively, using BF%-defined obesity, which corresponds to BMI cut-off of 24 kg/m(2). Even when considering the highest acceptable BF% based on the mean age of our participants (33% for men and 43% for women), the BMI cut-off to diagnose obesity should not exceed 27 kg/m(2) among men and women in Saudi Arabia. CONCLUSION: The accuracy of BMI 30 kg/m(2) to diagnose obesity among the Saudi population is limited. We have to lower the BMI cut-off point to improve its sensitivity as a screening tool for obesity. Our study suggests that the BMI cut-off point among Saudis and possibly the Arab population should not exceed 27 kg/m(2) for both sexes.
format Online
Article
Text
id pubmed-7368559
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Dove
record_format MEDLINE/PubMed
spelling pubmed-73685592020-08-05 Diagnostic Accuracy of Body Mass Index (BMI) When Diagnosing Obesity in a Saudi Adult Population in a Primary Care Setting, Cross Sectional, Retrospective Study Alammar, Muath Alsoghayer, Suad El-Abd, Kossay Alkhenizan, Abdullah Diabetes Metab Syndr Obes Original Research BACKGROUND: Obesity is a risk factor that leads to many chronic diseases and, unfortunately, its prevalence in Saudi Arabia is on the rise. To successfully manage obesity and its complications, patient must be accurately diagnosed. This study aims to investigate the diagnostic accuracy of body mass index (BMI) when diagnosing obesity within the Saudi population using body fat percentage (BF%) as the gold standard. MATERIALS AND METHODS: This is a cross-sectional study that includes a calculated sample size of 942 subjects. Subjects were recruited from family medicine clinics that were linked to King Faisal Specialist Hospital and Research Centre (KFSH&RC) in Riyadh, Saudi Arabia from January 2005 to March 2016. BF% was estimated using DEXA scan. The diagnostic accuracy of BMI was assessed by using the WHO and the American Association of Clinical Endocrinologists and American College of Endocrinology (AACE/ACE) reference standard for obesity of BF% >25% in men and >35% for women. RESULTS: Findings indicate, out of the study population, 29% of men and 53% of women are obese using BMI-defined obesity cut-off point 30 kg/m(2). The prevalence of obesity was 83.9% and 97.3% in men and women, respectively, using BF%-defined obesity, which corresponds to BMI cut-off of 24 kg/m(2). Even when considering the highest acceptable BF% based on the mean age of our participants (33% for men and 43% for women), the BMI cut-off to diagnose obesity should not exceed 27 kg/m(2) among men and women in Saudi Arabia. CONCLUSION: The accuracy of BMI 30 kg/m(2) to diagnose obesity among the Saudi population is limited. We have to lower the BMI cut-off point to improve its sensitivity as a screening tool for obesity. Our study suggests that the BMI cut-off point among Saudis and possibly the Arab population should not exceed 27 kg/m(2) for both sexes. Dove 2020-07-14 /pmc/articles/PMC7368559/ /pubmed/32765030 http://dx.doi.org/10.2147/DMSO.S263063 Text en © 2020 Alammar et al. http://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/). 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
Alammar, Muath
Alsoghayer, Suad
El-Abd, Kossay
Alkhenizan, Abdullah
Diagnostic Accuracy of Body Mass Index (BMI) When Diagnosing Obesity in a Saudi Adult Population in a Primary Care Setting, Cross Sectional, Retrospective Study
title Diagnostic Accuracy of Body Mass Index (BMI) When Diagnosing Obesity in a Saudi Adult Population in a Primary Care Setting, Cross Sectional, Retrospective Study
title_full Diagnostic Accuracy of Body Mass Index (BMI) When Diagnosing Obesity in a Saudi Adult Population in a Primary Care Setting, Cross Sectional, Retrospective Study
title_fullStr Diagnostic Accuracy of Body Mass Index (BMI) When Diagnosing Obesity in a Saudi Adult Population in a Primary Care Setting, Cross Sectional, Retrospective Study
title_full_unstemmed Diagnostic Accuracy of Body Mass Index (BMI) When Diagnosing Obesity in a Saudi Adult Population in a Primary Care Setting, Cross Sectional, Retrospective Study
title_short Diagnostic Accuracy of Body Mass Index (BMI) When Diagnosing Obesity in a Saudi Adult Population in a Primary Care Setting, Cross Sectional, Retrospective Study
title_sort diagnostic accuracy of body mass index (bmi) when diagnosing obesity in a saudi adult population in a primary care setting, cross sectional, retrospective study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368559/
https://www.ncbi.nlm.nih.gov/pubmed/32765030
http://dx.doi.org/10.2147/DMSO.S263063
work_keys_str_mv AT alammarmuath diagnosticaccuracyofbodymassindexbmiwhendiagnosingobesityinasaudiadultpopulationinaprimarycaresettingcrosssectionalretrospectivestudy
AT alsoghayersuad diagnosticaccuracyofbodymassindexbmiwhendiagnosingobesityinasaudiadultpopulationinaprimarycaresettingcrosssectionalretrospectivestudy
AT elabdkossay diagnosticaccuracyofbodymassindexbmiwhendiagnosingobesityinasaudiadultpopulationinaprimarycaresettingcrosssectionalretrospectivestudy
AT alkhenizanabdullah diagnosticaccuracyofbodymassindexbmiwhendiagnosingobesityinasaudiadultpopulationinaprimarycaresettingcrosssectionalretrospectivestudy