Significance and agreement between obesity anthropometric measurements and indices in adults: a population-based study from the United Arab Emirates

BMC Public Health

Ibrahim Mahmoud¹  Nabil Sulaiman² 

[1] College of Medicine, University of Sharjah, Sharjah, United Arab Emirates;College of Medicine, University of Sharjah, Sharjah, United Arab Emirates;Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia;

关键词: Agreement;    Anthropometric measurements;    Cardiometabolic;    Obesity;    Overweight;   

DOI  :  10.1186/s12889-021-11650-7

来源: Springer

【 摘 要 】

BackgroundThe rates of overweight and obese adults in the United Arab Emirates (UAE) have increased dramatically in recent decades. Several anthropometric measurements are used to assess body weight status. Some anthropometric measurements might not be convenient to use in certain communities and settings. The objective of this study was to assess the agreement of four anthropometric measurements and indices of weight status and to investigate their associations with cardiometabolic risks.MethodsThe study design was a cross-section population-based study. Adults living in the Northern Emirates were surveyed. Fasting blood samples, blood pressure readings and anthropometric measurements were also collected.ResultsA total of 3531 subjects were included in this study. The prevalence of obesity/overweight was 66.4% based on body mass index (BMI), 61.7% based on waist circumference (WC), 64.6% based on waist–hip ratio (WHR) and 71% based on neck circumference (NC). There were moderate agreements between BMI and WC and between WC and WHR, with kappa (k) ranging from 0.41 to 0.60. NC showed poor agreement with BMI, WC and WHR, with k ranging from 0 to 0.2. Overweight and obesity based on BMI, WC and WHR were significantly associated with cardiometabolic risks.ConclusionOverall, there was a moderate to a poor agreement between BMI, WC, WHR and NC. Particularly, NC showed poor agreement with BMI, WC and WHR. BMI and WC showed better performance for identifying cardiometabolic risks than WHR and NC.

【 授权许可】

CC BY