Literature DB >> 31294347

Response: Association of Z-Score of the Log-Transformed A Body Shape Index with Cardiovascular Disease in People Who Are Obese but Metabolically Healthy: The Korea National Health and Nutrition Examination Survey 2007-2010 (J Obes Metab Syndr 2018;27:158-65).

Wankyo Chung1, Jung Hwan Park2, Ohk-Hyun Ryu3, Jae Myung Yu3, Hyung Joon Yoo3,4, Shinje Moon3.   

Abstract

Entities:  

Year:  2019        PMID: 31294347      PMCID: PMC6604848          DOI: 10.7570/jomes.2019.28.2.141

Source DB:  PubMed          Journal:  J Obes Metab Syndr        ISSN: 2508-6235


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Clinical outcomes of metabolically healthy obesity (MHO) remain controversial in the previous studies using body mass index (BMI) for defining obesity.1 This might be due to the limitations of BMI, such as an inability to discriminate between muscle and fat or to identify fat location.2 Recent studies reported that A Body Shape Index (ABSI) has an inverse relationship with fat-free mass and can be used for screening sarcopenic obesity.3,4 Therefore, ABSI can be a useful screening tool for identifying high risk individuals with poor clinical outcomes in the MHO group. In this study, we used Z-score of the log-transformed A Body Shape Index (LBSIZ) and found a positive association with the risk of cardiovascular disease (CVD; 1st vs. 3rd tertile: odds ratio, 1.478; 95% confidence interval, 1.192–1.831). In the MHO group, only the subjects in the highest tertile of LBSIZ showed a significantly higher risk of CVD compared to the reference group with metabolically healthy and no obesity with the first tertile of LBSIZ. In addition, LBSIZ had a linear relationship with CVD risks in all obesity phenotypes. LBSIZ is a measure of abdominal obesity based on waist circumference for a given weight and height. It is a modified version of ABSI that can be used regardless of sex and ethnicity. Furthermore, considering its normal distribution of values, LBSIZ can improve clinical usefulness in actual practice by providing appropriate cutoff values to identify individuals with high risk of CVD. LBSIZ has a limitation in the complicated calculation process, but we provided a template for calculating with waist circumference, weight and height, derived from a representative sample of the Korea National Health and Nutrition Examination Survey.5 Additional template for other races and ethnicities in the United States will be available soon. In order to establish the superiority and clinical usefulness of LBSIZ, further prospective studies are needed for other ethnic groups. Further studies of the association between LBSIZ and body composition will also be required to understand the underlying pathophysiological rationale of LBSIZ and to assess CVD risk with LBSIZ.
  5 in total

1.  Association of anthropometric measures with fat and fat-free mass in the elderly: The Rotterdam study.

Authors:  Klodian Dhana; Chantal M Koolhaas; Josje D Schoufour; Fernando Rivadeneira; Albert Hofman; Maryam Kavousi; Oscar H Franco
Journal:  Maturitas       Date:  2016-04-01       Impact factor: 4.342

2.  Inverse relationship between "a body shape index" (ABSI) and fat-free mass in women and men: Insights into mechanisms of sarcopenic obesity.

Authors:  Gianni Biolo; Filippo Giorgio Di Girolamo; Andrea Breglia; Massimiliano Chiuc; Valeria Baglio; Pierandrea Vinci; Gabriele Toigo; Lucio Lucchin; Mihaela Jurdana; Zala J Pražnikar; Ana Petelin; Sara Mazzucco; Roberta Situlin
Journal:  Clin Nutr       Date:  2014-04-13       Impact factor: 7.324

3.  Association of Z-Score of the Log-Transformed A Body Shape Index with Cardiovascular Disease in People Who Are Obese but Metabolically Healthy: The Korea National Health and Nutrition Examination Survey 2007-2010.

Authors:  Wankyo Chung; Jung Hwan Park; Ohk-Hyun Ryu; Jae Myung Yu; Hyung Joon Yoo; Shinje Moon
Journal:  J Obes Metab Syndr       Date:  2018-09-30

4.  Body mass index as a phenotypic expression of adiposity: quantitative contribution of muscularity in a population-based sample.

Authors:  S B Heymsfield; R Scherzer; A Pietrobelli; C E Lewis; C Grunfeld
Journal:  Int J Obes (Lond)       Date:  2009-12       Impact factor: 5.095

5.  Effectiveness of Z-score of log-transformed A Body Shape Index (LBSIZ) in predicting cardiovascular disease in Korea: the Korean Genome and Epidemiology Study.

Authors:  Shinje Moon; Jung Hwan Park; Ohk-Hyun Ryu; Wankyo Chung
Journal:  Sci Rep       Date:  2018-08-14       Impact factor: 4.379

  5 in total

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