Literature DB >> 12723016

Hypertriglyceridemic waist as a screening tool for CVD risk in indigenous Australian women.

Yumiko Hiura1, Fay Acklin, Jennifer Newman, Kate Steinbeck, Ian D Caterson, Deepika Mahajan, Kaye Brock, Margaret A Bermingham.   

Abstract

Research has demonstrated that the simultaneous determination of waist circumference and fasting plasma triglyceride (TG) concentrations can identify men characterized by a metabolic triad of unconventional risk variables: increased levels of fasting insulin, apolipoprotein (apo) B, and a predominance of small, dense, low density lipoprotein (LDL) particles. The aim of this study was to assess the efficacy of using "hypertriglyceridemic waist" to identify individuals at high risk of CVD in a sample of indigenous Australian women, for whom 2 of the 3 non-traditional risk factors were measured (apo B and insulin). Subjects (N=80) were divided into subgroups on the basis of waist girth and TG levels. The TG/HDL ratio increased in women with both elevated waist (above 95 cm) and TG levels (above 2.0 mmol/L), who were also characterized by lower HDL and elevated LDL concentrations. Although there was no trend toward an increase in apo B with increasing waist girth and TG levels, apo B concentration was highest among subgroups with elevated waist and TG levels. Fasting insulin levels were higher with increasing waist girth, but not with increasing TG levels. Utilizing hypertriglyceridemic waist as a marker of high plasma insulin and apo B can be an important factor in assessing cardiovascular risk in indigenous Australian women, despite an unexpected apo B distribution.

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Year:  2003        PMID: 12723016

Source DB:  PubMed          Journal:  Ethn Dis        ISSN: 1049-510X            Impact factor:   1.847


  3 in total

Review 1.  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

2.  Risk Score Model for Predicting Sonographic Non-alcoholic Fatty Liver Disease in Children and Adolescents.

Authors:  Sayed-Mohsen Hosseini; Saeid Mousavi; Parinaz Poursafa; Roya Kelishadi
Journal:  Iran J Pediatr       Date:  2011-06       Impact factor: 0.364

3.  Predictors of metabolic abnormalities in phenotypes that combined anthropometric indices and triglycerides.

Authors:  Bum Ju Lee; Jiho Nam; Jong Yeol Kim
Journal:  BMC Complement Altern Med       Date:  2016-02-10       Impact factor: 3.659

  3 in total

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