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2 results on '"Nabil Sulaiman"'

1. Dyslipidaemia prevalence and associated risk factors in the United Arab Emirates: a population-based study

Author

Nabil Sulaiman and Ibrahim Mahmoud

Subjects
Medicine
Abstract

Objectives To determine and describe the prevalence and pattern of dyslipidaemia and its associated risk factors among an adult Emirati population.Design Population-based, cross-sectional study.Setting Adults living in the Northern Emirates.Participants 824 adult participants (51.8% men, 48.2% women, mean age 42.8±13.4 years old).Primary outcome measures Fasting blood samples were collected, blood pressure and waist circumference were measured.Results The overall dyslipidaemia prevalence was 72.5%, with 42.8% of the participants showing high total cholesterol (TC) level, 29% showing high triglyceride (TG) level, 42.5% showing low high-density lipoprotein cholesterol (HDL-C) level, 38.6% showing high low-density lipoprotein cholesterol (LDL-C) level and 72.3% showing high cholesterol ratio. The regression models showed that gender was a significant predictor of a high TG level, low LDL-C level and high cholesterol ratio. Middle-aged individuals (30–59 years old) had a significantly higher risk of having high TC, TG and LDL-C levels than young (

Published
2019
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2. Diabetes risk score in the United Arab Emirates: a screening tool for the early detection of type 2 diabetes mellitus

Author

Paul Zimmet, Jonathan E. Shaw, Amal Hussein, Nabil Sulaiman, Ibrahim Mahmoud, Salah Elbadawi, and Salah Abusnana

Subjects
Risk analysis, Diabetes risk, risk analysis, Endocrinology, Diabetes and Metabolism, Population, 030209 endocrinology & metabolism, 03 medical and health sciences, 0302 clinical medicine, prevention, Diabetes mellitus, Environmental health, medicine, 030212 general & internal medicine, Family history, Epidemiology/Health Services Research, education, education.field_of_study, Framingham Risk Score, business.industry, Type 2 Diabetes Mellitus, medicine.disease, epidemiology, business, Body mass index
Abstract

ObjectiveThe objective of this study was to develop a simple non-invasive risk score, specific to the United Arab Emirates (UAE) citizens, to identify individuals at increased risk of having undiagnosed type 2 diabetes mellitus.Research design and methodsA retrospective analysis of the UAE National Diabetes and Lifestyle data was conducted. The data included demographic and anthropometric measurements, and fasting blood glucose. Univariate analyses were used to identify the risk factors for diabetes. The risk score was developed for UAE citizens using a stepwise forward regression model.ResultsA total of 872 UAE citizens were studied. The overall prevalence of diabetes in the UAE adult citizens in the Northern Emirates was 25.1%. The significant risk factors identified for diabetes were age (≥35 years), a family history of diabetes mellitus, hypertension, body mass index ≥30.0 and waist-to-hip ratio ≥0.90 for males and ≥0.85 for females. The performance of the model was moderate in terms of sensitivity (75.4%, 95% CI 68.3 to 81.7) and specificity (70%, 95% CI 65.8 to 73.9). The area under the receiver-operator characteristic curve was 0.82 (95% CI 0.78 to 0.86).ConclusionsA simple, non-invasive risk score model was developed to help to identify those at high risk of having diabetes among UAE citizens. This score could contribute to the efficient and less expensive earlier detection of diabetes in this high-risk population.

Published
2018

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