Optimal waist circumference cutoff points for the determination of abdominal obesity and detection of cardiovascular risk factors among adult Egyptian population

Assaad-Khalil, S.; Mikhail, Mary M.; Aati, Talaat Abdel; Zaki, Adel; Helmy, Mona; Megallaa, Magdy Helmy; Hassanien, Rehab; Rohoma, Kamel Hemida

doi:10.4103/2230-8210.167556

Cited by 26 publications

(17 citation statements)

References 26 publications

(37 reference statements)

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“…e WC cutoff of 96.25 cm has been suggested for Egyptian women [18], while in Turkey, the WC and WHR cutoff values of 95 cm and 0.93 have been proposed [19]. Our data are concordant with the BMI cutoff value of 23 kg/m 2 , WC 80 cm, and WHR 0.81 described among Indian females [1].…”

Section: Discussionsupporting

confidence: 88%

Optimal Cutoff Values for Anthropometric Adiposity Measures of Sri Lankan Adult Women

et al. 2020

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Anthropometric adiposity measures (AAMs) such as body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) are used to evaluate obesity status. Country-specific cutoff values of AAMs would provide more accurate estimation of obesity prevalence. This cross-sectional study was designed to determine the optimal cutoff values for AAMs, BMI, WC, hip circumference (HC), and WHR, of Sri Lankan adult women. The study was conducted in Galle, Sri Lanka, with 350 healthy community-dwelling middle-aged women aged 30–60 years, divided into two groups (Group A, n = 175 and Group B, n = 175). Total body fat percentage (TBFP) (kg) was measured with DXA. Body weight (kg), height (m), and WC and HC (cm) were measured. BMI (kg/m2) and WHR were calculated. Optimal cutoff values were determined by area under curve (AUC) in Receiver-Operating Characteristic (ROC) curve analysis using TBFP as the criterion at the TBFP level of 33% and 35% using the women in Group A. Then, the prevalence of obesity was determined in Group B while comparing the prevalence based on the cutoff values recommended by the World Health Organization (WHO) for Asians and the newly developed cutoff values for Sri Lankan women. Optimal cutoff values of AAMs which correspond to TBFP 33% are BMI, 24.5 kg/m2; WC, 80 cm; HC, 95 cm; and WHR, 0.83. TBFP 35% corresponds to the optimal cutoff values of BMI, 25.0 kg/m2; WC, 85 cm; HC, 100 cm; and WHR, 0.83. Prevalence of obesity (number, %) according to the WHO and newly defined cutoff values that correspond to TBFP 33% and 35% were as follows: BMI = 83 (47.4%), 98 (56.0%), 83 (47.4%); WC = 106 (60.6%), 106 (60.6%), 72 (41.1%); and WHR = 140 (80.0%), 106 (60.6%), 106 (60.6%). The observed cutoff values of BMI and WC in this study were within the ranges of those described by the WHO for Asian populations which correspond to the 33% and 35% TBFP levels, respectively. However, the WHR cutoff value of WHO (Asians) is lower when compared to the newly determined value for Sri Lankan females while overestimating the prevalence. More studies are needed to confirm these values before clinical use.

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Section: Discussionsupporting

confidence: 88%

Optimal Cutoff Values for Anthropometric Adiposity Measures of Sri Lankan Adult Women

et al. 2020

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“…Optimal waist circumference cut-offs for diagnosing abdominal obesity were also higher for women (especially) in Egypt, compared with standard definitions. 54…”

Section: Overweight and Obesitymentioning

confidence: 99%

Prediabetes management in the Middle East, Africa and Russia: Current status and call for action

Khalil

Abdelaziz

Shammary

et al. 2019

Diabetes and Vascular Disease Research

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Most data on the burden of diabetes and prediabetes are from countries where local infrastructure can support reliable estimates of the burden of non-communicable diseases. Countries in the Middle East and Africa, together with Russia, have a total population of almost 2 billion, but have been relatively overlooked by authors in this field. We reviewed the prevalence and drivers of prediabetes and diabetes across this large region. A large, and variable, burden of dysglycaemia exists, especially in Middle Eastern and North African countries, associated with high levels of obesity and sedentariness, with a generally lower prevalence in most other parts of Africa. The design and size of studies are highly variable, and more research to quantify the scale of the problem is needed. Local barriers to care relating to issues concerned with gender, consanguinity, lack of understanding of diabetes, lack of understanding of obesity as a health issue, and limited resource at a national level for tracking and intervention for diabetes and other non-communicable diseases. Lifestyle interventions with proven local cost-effectiveness, enhanced access to pharmacologic intervention, and societal interventions to promote better diet and more activity will be an important element in strategies to combat these adverse trends.

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“…7 In Egypt, the burden was as high as 60.0% among the apparently healthy general adult population. 8…”

Section: Introductionmentioning

confidence: 99%

Adapting a Prediction Rule for Metabolic Syndrome Risk Assessment Suitable for Developing Countries

El‐Wahab

Shatat

Charl

2019

J Prim Care Community Health

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Background: Metabolic syndrome (MetS) is a cluster of cardiometabolic disturbances that increases the risk of cardiovascular diseases (CVD) and type 2 diabetes mellitus (DM). The early identification of high-risk individuals is the key for halting these conditions. The world is facing a growing epidemic MetS although the magnitude in Egypt is unknown. Objectives: To describe MetS and its determinants among apparently healthy individuals residing in urban and rural communities in Egypt and to establish a model for MetS prediction. Methods: A cross-sectional study was conducted with 270 adults from rural and urban districts in Alexandria, Egypt. Participants were clinically evaluated and interviewed for sociodemographic and lifestyle factors and dietary habits. MetS was defined according to the harmonized criteria set by the AHA/NHLBI. The risk of ischemic heart diseases (IHDs), DM and fatty liver were assessed using validated risk prediction charts. A multiple risk model for predicting MetS was developed, and its performance was compared. Results: In total, 57.8% of the study population met the criteria for MetS and were at high risk for developing IHD, DM, and fatty liver. Silent CVD risk factors were identified in 20.4% of the participants. In our proposed multivariate logistic regression model, the predictors of MetS were obesity [OR (95% CI) = 16.3 (6.03-44.0)], morbid obesity [OR (95% CI) = 21.7 (5.3-88.0)], not working [OR (95% CI) = 2.05 (1.1-3.8)], and having a family history of chronic diseases [OR (95% CI) = 4.38 (2.23-8.61)]. Consumption of caffeine once per week protected against MetS by 27.8-fold. The derived prediction rule was accurate in predicting MetS, fatty liver, high risk of DM, and, to a lesser extent, a 10-year lifetime risk of IHD. Conclusion: Central obesity and sedentary lifestyles are accountable for the rising rates of MetS in our society. Interventions are needed to minimize the potential predisposition of the Egyptian population to cardiometabolic diseases.

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Optimal waist circumference cutoff points for the determination of abdominal obesity and detection of cardiovascular risk factors among adult Egyptian population

Cited by 26 publications

References 26 publications

Optimal Cutoff Values for Anthropometric Adiposity Measures of Sri Lankan Adult Women

Optimal Cutoff Values for Anthropometric Adiposity Measures of Sri Lankan Adult Women

Prediabetes management in the Middle East, Africa and Russia: Current status and call for action

Adapting a Prediction Rule for Metabolic Syndrome Risk Assessment Suitable for Developing Countries

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