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

被引:5
作者
Mahmoud, Ibrahim [1 ]
Sulaiman, Nabil [1 ,2 ]
机构
[1] Univ Sharjah, Coll Med, Sharjah, U Arab Emirates
[2] Baker Heart & Diabet Inst, Melbourne, Vic, Australia
关键词
Agreement; Anthropometric measurements; Cardiometabolic; Obesity; Overweight; BODY-MASS INDEX; NECK CIRCUMFERENCE; WAIST CIRCUMFERENCE; CARDIOMETABOLIC RISK; VISCERAL ADIPOSITY; OVERWEIGHT; MARKER;
D O I
10.1186/s12889-021-11650-7
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background The 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. Methods The 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. Results A 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. Conclusion Overall, 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.
引用
收藏
页数:10
相关论文
共 31 条
[1]   The magnitude of association between overweight and obesity and the risk of diabetes: A meta-analysis of prospective cohort studies [J].
Abdullah, Asnawi ;
Peeters, Anna ;
de Courten, Maximilian ;
Stoelwinder, Johannes .
DIABETES RESEARCH AND CLINICAL PRACTICE, 2010, 89 (03) :309-319
[2]   Neck circumference as a marker of obesity and a predictor of cardiometabolic risk among Saudi subjects [J].
Alfadhli, Eman M. ;
Sandokji, Alaa A. ;
Zahid, Basma N. ;
Makkawi, Mohammed A. ;
Alshenaifi, Reem F. ;
Thani, Tafani S. ;
Habeeb, Hanan A. .
SAUDI MEDICAL JOURNAL, 2017, 38 (12) :1219-1223
[3]  
Altman DG., 2018, PRACTICAL STAT MED R
[4]  
Ang NS., 2011, J ASEAN FED ENDOCR S, V26, P150, DOI DOI 10.15605/JAFES.026.02
[6]   A comparison of the clinical usefulness of neck circumference and waist circumference in individuals with severe obesity [J].
Assyov, Yavor ;
Gateva, Antoaneta ;
Tsakova, Adelina ;
Kamenov, Zdravko .
ENDOCRINE RESEARCH, 2017, 42 (01) :6-14
[7]  
Babu Rajan P., 2018, Academicus Int Sci J, V18, P106, DOI [10.7336/academicus.2018.18.10, DOI 10.7336/ACADEMICUS.2018.18.10]
[8]   Waist, neck circumferences, waist-to-hip ratio: Which is the best cardiometabolic risk marker in women with severe obesity? The SOON cohort [J].
Borel, Anne-Laure ;
Coumes, Sandrine ;
Reche, Fabian ;
Ruckly, Stephane ;
Pepin, Jean-Louis ;
Tamisier, Renaud ;
Wion, Nelly ;
Arvieux, Catherine .
PLOS ONE, 2018, 13 (11)
[9]  
Ezzati M, 2017, LANCET, V390, P2627, DOI [10.1016/S0140-6736(17)32129-3, 10.1016/s0140-6736(17)32129-3]
[10]  
Grundy SM, 2019, J AM COLL CARDIOL, V73, P3168, DOI [10.1016/j.jacc.2018.11.002, 10.1161/CIR.0000000000000625, 10.1016/j.jacc.2018.11.003]