Literature DB >> 33530949

Association of "hypertriglyceridemic waist" with increased 5-year risk of subclinical atherosclerosis in a multi-ethnic population: a prospective cohort study.

Peyman Namdarimoghaddam1, Adeleke Fowokan2, Karin H Humphries3,4, G B John Mancini4, Scott Lear5,2,6.   

Abstract

BACKGROUND: Hypertriglyceridemic waist (HTGW), which incorporates measures of waist circumference and levels of triglyceride in blood, could act as an early-stage predictor to identify the individuals at high-risk for subclinical atherosclerosis. Previous studies have explored the cross-sectional association between HTGW and atherosclerosis; however, understanding how this association might change over time is necessary. This study will assess the association between HTGW with 5-year subclinical carotid atherosclerosis.
METHODS: 517 participants of Aboriginal, Chinese, European, and South Asian ethnicities were examined for baseline HTGW and 5-year indices of subclinical atherosclerosis (intima media thickness (mm), total area (mm2), and plaque presence). Family history of cardiovascular disease, sociodemographic measures (age, sex, ethnicity, income level, maximum education), and traditional risk factors (systolic blood pressure, smoking status, total cholesterol, high-density lipoprotein cholesterol, body mass index) were incorporated into the models of association. These models used multiple linear regression and logistic regression.
RESULTS: Baseline HTGW phenotype is a statistically significant and clinically meaningful predictor of 5-year intima media thickness (β = 0.08 [0.04, 0.11], p < 0.001), total area (β = 0.20 [0.07, 0.33], p = 0.002), and plaque presence (OR = 2.17 [1.13, 4.19], p = 0.02) compared to the non-HTGW group independent of sociodemographic factors and family history. However, this association is no longer significant after adjusting for the traditional risk factors of atherosclerosis (p = 0.27, p = 0.45, p = 0.66, respectively). Moreover, change in status of HTGW phenotype does not correlate with change in indices of atherosclerosis over 5 years.
CONCLUSIONS: Our results suggest that when the traditional risk factors of atherosclerosis are known, HTGW may not offer additional value as a predictor of subclinical atherosclerosis progression over 5 years.

Entities:  

Keywords:  Atherosclerotic plaque; Ethnicity; Hypertriglyceridemic waist; Intima-media thickness; Longitudinal; Multi-ethnic; Sub-clinical atherosclerosis; Total area

Year:  2021        PMID: 33530949      PMCID: PMC7851930          DOI: 10.1186/s12872-021-01882-1

Source DB:  PubMed          Journal:  BMC Cardiovasc Disord        ISSN: 1471-2261            Impact factor:   2.298


  43 in total

1.  The hypertriglyceridemic-waist phenotype and the risk of coronary artery disease: results from the EPIC-Norfolk prospective population study.

Authors:  Benoit J Arsenault; Isabelle Lemieux; Jean-Pierre Després; Nicholas J Wareham; John J P Kastelein; Kay-Tee Khaw; S Matthijs Boekholdt
Journal:  CMAJ       Date:  2010-07-19       Impact factor: 8.262

Review 2.  Genetics of coronary artery disease: discovery, biology and clinical translation.

Authors:  Amit V Khera; Sekar Kathiresan
Journal:  Nat Rev Genet       Date:  2017-03-13       Impact factor: 53.242

3.  Hypertriglyceridemic waist: A marker of the atherogenic metabolic triad (hyperinsulinemia; hyperapolipoprotein B; small, dense LDL) in men?

Authors:  I Lemieux; A Pascot; C Couillard; B Lamarche; A Tchernof; N Alméras; J Bergeron; D Gaudet; G Tremblay; D Prud'homme; A Nadeau; J P Després
Journal:  Circulation       Date:  2000-07-11       Impact factor: 29.690

4.  Increased association of coronary artery calcification in apparently healthy Korean adults with hypertriglyceridemic waist phenotype: The Kangbuk Samsung Health Study.

Authors:  Byung Sub Moon; Hye-Jeong Park; Min-Kyung Lee; Won Seon Jeon; Se Eun Park; Cheol-Young Park; Won-Yong Lee; Ki-Won Oh; Sung-Woo Park; Eun-Jung Rhee
Journal:  Int J Cardiol       Date:  2015-05-19       Impact factor: 4.164

5.  Utility of the hypertriglyceridemic waist phenotype in the cardiometabolic risk assessment of youth stratified by body mass index.

Authors:  D S Buchan; L M Boddy; J-P Despres; F M Grace; N Sculthorpe; C Mahoney; J S Baker
Journal:  Pediatr Obes       Date:  2015-08-07       Impact factor: 4.000

6.  Hypertriglyceridemic waist phenotype is associated with decreased insulin sensitivity and incident diabetes in elderly men.

Authors:  Axel C Carlsson; Ulf Risérus; Johan Ärnlöv
Journal:  Obesity (Silver Spring)       Date:  2013-06-13       Impact factor: 5.002

Review 7.  Hypertriglyceridemic waist: a useful screening phenotype in preventive cardiology?

Authors:  Isabelle Lemieux; Paul Poirier; Jean Bergeron; Natalie Alméras; Benoît Lamarche; Bernard Cantin; Gilles R Dagenais; Jean-Pierre Després
Journal:  Can J Cardiol       Date:  2007-10       Impact factor: 5.223

8.  Increased risk of diabetes development in subjects with the hypertriglyceridemic waist phenotype: a 4-year longitudinal study.

Authors:  Ki Joong Han; Shin Yeoung Lee; Nam Hee Kim; Hyun Beom Chae; Tae Hoon Lee; Choel Min Jang; Kyung Mo Yoo; Hae Jung Park; Min Kyung Lee; Won Seon Jeon; Se Eun Park; Cheol Young Park; Won Young Lee; Ki Won Oh; Sung Woo Park; Eun Jung Rhee
Journal:  Endocrinol Metab (Seoul)       Date:  2014-07-02

9.  Hypertriglyceridemic waist might be an alternative to metabolic syndrome for predicting future diabetes mellitus.

Authors:  Sen He; Yi Zheng; Yan Shu; Jiyun He; Yong Wang; Xiaoping Chen
Journal:  PLoS One       Date:  2013-09-05       Impact factor: 3.240

10.  Utility of hypertriglyceridemic waist phenotype for predicting incident type 2 diabetes: The Isfahan Diabetes Prevention Study.

Authors:  Mohsen Janghorbani; Masoud Amini
Journal:  J Diabetes Investig       Date:  2016-04-20       Impact factor: 4.232

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  1 in total

1.  The hypertriglyceridemic waist phenotype is associated with fatty liver and glycometabolic profiles in overweight and obese adults: a cross-sectional study.

Authors:  Meiling Zhou; Feifei Li; Haokai Tang; Si Wu; Li Meng; Yanhui Dong; Fei Wang; Binh Quach; Yide Yang; Jun Ma; Julien Steven Baker
Journal:  Sci Rep       Date:  2022-02-14       Impact factor: 4.379

  1 in total

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