Literature DB >> 27457430

Relation of Body Circumferences to Cardiometabolic Disease in Overweight-Obese Subjects.

Ernesto Maddaloni1, Ilaria Cavallari2, Mariangela De Pascalis3, Hillary Keenan4, Kyoungmin Park4, Silvia Manfrini3, Raffaella Buzzetti5, Giuseppe Patti6, Germano Di Sciascio6, Paolo Pozzilli3.   

Abstract

Body circumferences have been proposed as potential anthropometric measures for the assessment of cardiometabolic risk as they are independently associated with insulin resistance and diabetes. The aim of this study was to validate neck and wrist circumference and waist-to-hip ratio as practical markers of metabolic dysfunction and atherosclerosis; 120 subjects who underwent coronary angiography and carotid Doppler ultrasound were enrolled in this cross-sectional study. Exclusion criteria were history of diabetes, acute myocardial infarction, body mass index (BMI) <18.5 or ≥45.0 kg/m(2). Metabolic dysfunction was ascertained by the calculation of visceral adiposity index (VAI) and by diagnosis of metabolic syndrome (MS). Advanced atherosclerotic disease was defined as ≥70% coronary lumen and/or ≥50% carotid lumen stenosis. No association between body circumferences and VAI or MS was found in subjects with BMI <25 kg/m(2). VAI was significantly related to waist-to-hip ratio (R(2) = 0.09, p = 0.008), neck (R(2) = 0.09, p = 0.007), and wrist circumferences (R(2) = 0.05, p = 0.041) in subjects with BMI ≥25 kg/m(2). In overweight subjects, higher gender-specific tertiles of wrist circumference were independently associated with an increased risk of MS (odds ratio 2.57, 95% confidence interval 1.11 to 5.96, p = 0.028). VAI was independently associated with carotid intima-media thickness: β = 0.104, R(2) = 0.118, p = 0.003. Carotid intima-media thickness and MS, but not body circumferences, were associated with advanced atherosclerosis. In conclusion, these data indicate that anthropometric measurements, in particular wrist circumference, can be used as practical tools for assessment of metabolic risk in overweight-obese subjects but not as markers of advanced atherosclerosis.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27457430     DOI: 10.1016/j.amjcard.2016.06.044

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  15 in total

1.  Neck circumference as an effective measure for identifying cardio-metabolic syndrome: a comparison with waist circumference.

Authors:  Yuqi Luo; Xiaojing Ma; Yun Shen; Yiting Xu; Qin Xiong; Xueli Zhang; Yunfeng Xiao; Yuqian Bao; Weiping Jia
Journal:  Endocrine       Date:  2016-10-31       Impact factor: 3.633

2.  Wrist circumference is a biomarker of adipose tissue dysfunction and cardiovascular risk in children with obesity.

Authors:  C Luordi; E Maddaloni; C Bizzarri; S Pedicelli; S Zampetti; L D'Onofrio; C Moretti; M Cappa; R Buzzetti
Journal:  J Endocrinol Invest       Date:  2019-07-25       Impact factor: 4.256

3.  Association of wrist circumference with cardio-metabolic risk factors: a systematic review and meta-analysis.

Authors:  Nazli Namazi; Shirin Djalalinia; Armita Mahdavi-Gorabi; Hamid Asayesh; Morteza Mansourian; Mehdi Noroozi; Mostafa Qorbani
Journal:  Eat Weight Disord       Date:  2018-07-03       Impact factor: 4.652

4.  Visceral adiposity index levels in overweight and/or obese, and non-obese patients with polycystic ovary syndrome and its relationship with metabolic and inflammatory parameters.

Authors:  U Durmus; C Duran; S Ecirli
Journal:  J Endocrinol Invest       Date:  2016-11-12       Impact factor: 4.256

5.  Small Nerve Fiber Damage and Langerhans Cells in Type 1 and Type 2 Diabetes and LADA Measured by Corneal Confocal Microscopy.

Authors:  Luca D'Onofrio; Alise Kalteniece; Maryam Ferdousi; Shazli Azmi; Ioannis N Petropoulos; Georgios Ponirakis; Uazman Alam; Omar Asghar; Andrew Marshall; Andrew J M Boulton; Nathan Efron; Raffaella Buzzetti; Handrean Soran; Rayaz A Malik
Journal:  Invest Ophthalmol Vis Sci       Date:  2021-05-03       Impact factor: 4.799

6.  Predictive Validity of the Body Adiposity Index in Overweight and Obese Adults Using Dual-Energy X-ray Absorptiometry.

Authors:  Robinson Ramírez-Vélez; Jorge Enrique Correa-Bautista; Katherine González-Ruíz; Andrés Vivas; Antonio García-Hermoso; Hector Reynaldo Triana-Reina
Journal:  Nutrients       Date:  2016-11-30       Impact factor: 5.717

7.  The Role of Body Adiposity Index in Determining Body Fat Percentage in Colombian Adults with Overweight or Obesity.

Authors:  Robinson Ramírez-Vélez; Jorge Enrique Correa-Bautista; Katherine González-Ruíz; Alejandra Tordecilla-Sanders; Antonio García-Hermoso; Jacqueline Schmidt-RioValle; Emilio González-Jiménez
Journal:  Int J Environ Res Public Health       Date:  2017-09-21       Impact factor: 3.390

8.  The association between various indices of obesity and severity of atherosclerosis in adults in the north of Iran.

Authors:  Arsalan Salari; Maryam Shakiba; Marjan Mahdavi-Roshan; Mahboobeh Gholipour; Moona Naghshbandi; Ramin Rajabi
Journal:  Medicine (Baltimore)       Date:  2016-12       Impact factor: 1.889

9.  Neck circumference as an independent indicator of visceral obesity in a Chinese population.

Authors:  Li Zhao; Guolan Huang; Fangzhen Xia; Qin Li; Bing Han; Yi Chen; Chi Chen; Dongping Lin; Ningjian Wang; Yingli Lu
Journal:  Lipids Health Dis       Date:  2018-04-17       Impact factor: 3.876

10.  Are Obesity Indices Useful for Detecting Subclinical Atheromatosis in a Middle-Aged Population?

Authors:  Enric Sánchez; Marta Sánchez; Àngels Betriu; Ferran Rius; Gerard Torres; Francesc Purroy; Reinald Pamplona; Marta Ortega; Carolina López-Cano; Marta Hernández; Marta Bueno; Elvira Fernández; Javier Salvador; Albert Lecube
Journal:  Obes Facts       Date:  2020-01-22       Impact factor: 4.807

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