Literature DB >> 30993939

Simply the Best: Anthropometric Indices for Predicting Cardiovascular Disease.

Jie Eun Lee1.   

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Year:  2019        PMID: 30993939      PMCID: PMC6470105          DOI: 10.4093/dmj.2019.0057

Source DB:  PubMed          Journal:  Diabetes Metab J        ISSN: 2233-6079            Impact factor:   5.376


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As the prevalence of obesity increases, so does the burden of its associated comorbidities, such as myocardial infarction (MI) and ischemic stroke (IS). According to the Fact Sheet from the Korean Society for the Study of Obesity, medical expenses increase proportionally with body mass index (BMI) and waist circumference (WC) in both men and women [1]. Therefore, it is important to identify people at highrisk of obesity and its related comorbidities. BMI is one of the most frequently used surrogate indicators ofobesity that reflects total body fat. However, both total body fat and fat distribution pattern are important when predicting the risk of cardiovascular diseases (CVD). The fat distribution pattern is determined by anthropometric measures, such as the WC, waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), and sagittal abdominal diameter [23]. These anthropometric indices areassociated with, and may be predictors of, CVD [456], but these associations remain controversial. At any given WC, Asian people have greater visceral fat compared with Europeans, and a tighter threshold of WC might be needed to determine the risk [789]. However, combining various ethnic groups under asingle “Asian” category might obscure important differences in groups. One study of about 15,000 Korean patients found no significant difference between WC and BMI in predicting the incidence of CVD [10], but a later study of 5,500 Koreans in 2009 found that WC and WHtR were superior to BMI [11]. The results of a recent study have important clinical significance for the Korean population. Using the data of more than 20 million Koreans from the National Health Insurance Service (NHIS), Cho et al. [12] confirmed that WC is a better marker for predicting the incidence of MI or IS than BMI. They also reported the appropriate WC cutoffs for predicting the risk of CVD; the optimal cutoffs were 84/85 cm for men (MI/IS, respectively) and 78 cm for women (both), which are lower than the current recommended cutoffs. In addition, the WC cutoff in the study by Cho et al. [12] is 10 cm lower than the global standard set by the World Health Organization for men [13]. These new values suggest that closer attention should be given to earlier identification and management of overweight/obesity for better CVD prevention. The study by Cho et al. [12] found smaller differences in the optimal cutoffs from the current recommendation in women. However, the authors noted that the incidence rates of MI or IS increases more steeply as WC increases [12]. Therefore, clinicians should be more alert to elevated abdominal circumference in both men and women. Despite the possible differences from the actual incidence of CVD associated with the use of NHIS data and the relatively short follow-up period in the study by Cho et al. [12], this study included the largest number of Koreans to date, and its findings are of high clinical significance. Although BMI is still used as a standard to diagnose obesity, clinicians should be aware that a person with a ‘high’ WC, even when the BMI is in the ‘healthy’ range, may still have a higher risk of CVD. WC is a non-invasive, easily measurable anthropometric index, but it is prone to technical error of measurement from inter-measurer error. Therefore, it would be clinically useful to compare WC alone with other anthropometric indices reflecting central obesity such as WHR or WHtR in predicting the incidence of CVD.
  11 in total

1.  The predictive value of different measures of obesity for incident cardiovascular events and mortality.

Authors:  Harald J Schneider; Nele Friedrich; Jens Klotsche; Lars Pieper; Matthias Nauck; Ulrich John; Marcus Dörr; Stephan Felix; Hendrik Lehnert; David Pittrow; Sigmund Silber; Henry Völzke; Günter K Stalla; Henri Wallaschofski; Hans-Ulrich Wittchen
Journal:  J Clin Endocrinol Metab       Date:  2010-02-03       Impact factor: 5.958

2.  The discriminative ability of waist circumference, body mass index and waist-to-hip ratio in identifying metabolic syndrome: Variations by age, sex and race.

Authors:  Kee C Cheong; Sumarni M Ghazali; Lim K Hock; Soobitha Subenthiran; Teh C Huey; Lim K Kuay; Feisul I Mustapha; Ahmad F Yusoff; Amal N Mustafa
Journal:  Diabetes Metab Syndr       Date:  2015-03-06

3.  Relationship between obesity and several cardiovascular disease risk factors in apparently healthy Korean individuals: comparison of body mass index and waist circumference.

Authors:  Ki Chul Sung; Seungho Ryu; Gerald M Reaven
Journal:  Metabolism       Date:  2007-03       Impact factor: 8.694

4.  The impact of using sagittal abdominal diameter to predict major cardiovascular events in European patients with type 2 diabetes.

Authors:  K Rådholm; A Tengblad; E Dahlén; T Länne; J Engvall; F H Nystrom; C J Östgren
Journal:  Nutr Metab Cardiovasc Dis       Date:  2017-02-16       Impact factor: 4.222

5.  Sagittal abdominal diameter predicts cardiovascular events.

Authors:  H S Kahn
Journal:  Nutr Metab Cardiovasc Dis       Date:  2017-07-08       Impact factor: 4.222

6.  Waist circumference and waist-to-height ratio as predictors of cardiovascular disease risk in Korean adults.

Authors:  Sung-Hee Park; Soon-Ja Choi; Kwang-Soo Lee; Hyun-Young Park
Journal:  Circ J       Date:  2009-07-29       Impact factor: 2.993

7.  Anatomical patterning of visceral adipose tissue: race, sex, and age variation.

Authors:  Ellen W Demerath; Shumei S Sun; Nikki Rogers; Miryoung Lee; Derek Reed; Audrey C Choh; William Couch; Stefan A Czerwinski; W Cameron Chumlea; Roger M Siervogel; Bradford Towne
Journal:  Obesity (Silver Spring)       Date:  2007-12       Impact factor: 5.002

8.  Visceral adipose tissue accumulation differs according to ethnic background: results of the Multicultural Community Health Assessment Trial (M-CHAT).

Authors:  Scott A Lear; Karin H Humphries; Simi Kohli; Arun Chockalingam; Jiri J Frohlich; C Laird Birmingham
Journal:  Am J Clin Nutr       Date:  2007-08       Impact factor: 7.045

9.  Waist-to-height ratio and cardiovascular risk factors in elderly individuals at high cardiovascular risk.

Authors:  Marta Guasch-Ferré; Mònica Bulló; Miguel Ángel Martínez-González; Dolores Corella; Ramon Estruch; María-Isabel Covas; Fernando Arós; Julia Wärnberg; Miquel Fiol; José Lapetra; Miguel Ángel Muñoz; Lluís Serra-Majem; Xavier Pintó; Nancy Babio; Andrés Díaz-López; Jordi Salas-Salvadó
Journal:  PLoS One       Date:  2012-08-14       Impact factor: 3.240

10.  The Risk of Myocardial Infarction and Ischemic Stroke According to Waist Circumference in 21,749,261 Korean Adults: A Nationwide Population-Based Study.

Authors:  Jung Hwan Cho; Eun Jung Rhee; Se Eun Park; Hyemi Kwon; Jin Hyung Jung; Kyung Do Han; Yong Gyu Park; Hye Soon Park; Yang Hyun Kim; Soon Jib Yoo; Won Young Lee
Journal:  Diabetes Metab J       Date:  2018-11-21       Impact factor: 5.376

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1.  Physical performance and glycemic control under SGLT-2-inhibitors in patients with type 2 diabetes and established atherosclerotic cardiovascular diseases or high cardiovascular risk (PUSH): Design of a 4-week prospective observational study.

Authors:  Devine S Frundi; Eva Kettig; Lena Luise Popp; Melanie Hoffman; Marine Dumartin; Magali Hughes; Edgar Lamy; Yvonne Joko Walburga Fru; Arjola Bano; Taulant Muka; Matthias Wilhelm
Journal:  Front Cardiovasc Med       Date:  2022-07-22

2.  External validation of the relative fat mass (RFM) index in adults from north-west Mexico using different reference methods.

Authors:  Alan E Guzmán-León; Ana G Velarde; Milca Vidal-Salas; Lucía G Urquijo-Ruiz; Luz A Caraveo-Gutiérrez; Mauro E Valencia
Journal:  PLoS One       Date:  2019-12-31       Impact factor: 3.240

  2 in total

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