A novel adiposity index as an integrated predictor of cardiometabolic disease morbidity and mortality

Yousung Park; Nam Hoon Kim; Tae Yeon Kwon; Sin Gon Kim

doi:10.1038/s41598-018-35073-4

A novel adiposity index as an integrated predictor of cardiometabolic disease morbidity and mortality

Yousung Park, Nam Hoon Kim, Tae Yeon Kwon, Sin Gon Kim

Research output: Contribution to journal › Article › peer-review

175 Citations (Scopus)

Abstract

We propose a new anthropometric index, weight-adjusted-waist index (WWI), to assess adiposity by standardizing waist circumference (WC) for weight. WWI, calculated as WC (cm) divided by the square root of weight (kg) (cm/√kg), was measured from 465,629 subjects in the Korean nationwide cohort (2008–2013). Cox regression analysis was used to compare WWI with BMI, WC, waist-to-height ratio (WHtR), and a body shape index (ABSI) for cardiometabolic morbidity and mortality risk in diagnostic and prognostic prediction models. For incident hypertension, type 2 diabetes and cardiovascular disease (CVD), BMI had the strongest predictive power, followed by WWI and WC. However, WWI showed the best predictive performance for CVD mortality. Also, a linear positive association between adiposity indices and cardiovascular and all-cause mortality was only shown in WWI and ABSI, not BMI, WC and WHtR which showed inverse J-shaped patterns. In the test of joint effects of each index, WWI combined with BMI was the strongest in both diagnostic and prognostic models. WWI is a unique adiposity index that shows linear positive association with both cardiometabolic morbidity and mortality. It also predicts incident cardiometabolic disease, cardiovascular and all-cause mortality risk with excellence in predictive power, especially when combined with BMI.

Original language	English
Article number	16753
Journal	Scientific reports
Volume	8
Issue number	1
DOIs	https://doi.org/10.1038/s41598-018-35073-4
Publication status	Published - 2018 Dec 1

Bibliographical note

Funding Information:
We thank all participants in the Korean Health Insurance Cohort study, as well as the National Health Insurance Service who developed the NHIS-NSC (2002–2013) database (NHIS-2014-2-006). The views expressed in this article are those of the authors and do not necessarily represent the official position of the department of Korean National Health Insurance Service. This study was partly supported by a grant of the Korean Health Technology R&D Project (HI14C2750), Ministry of Health & Welfare, Republic of Korea.

Publisher Copyright:
© 2018, The Author(s).

ASJC Scopus subject areas

General

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1038/s41598-018-35073-4

Cite this

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abstract = "We propose a new anthropometric index, weight-adjusted-waist index (WWI), to assess adiposity by standardizing waist circumference (WC) for weight. WWI, calculated as WC (cm) divided by the square root of weight (kg) (cm/√kg), was measured from 465,629 subjects in the Korean nationwide cohort (2008–2013). Cox regression analysis was used to compare WWI with BMI, WC, waist-to-height ratio (WHtR), and a body shape index (ABSI) for cardiometabolic morbidity and mortality risk in diagnostic and prognostic prediction models. For incident hypertension, type 2 diabetes and cardiovascular disease (CVD), BMI had the strongest predictive power, followed by WWI and WC. However, WWI showed the best predictive performance for CVD mortality. Also, a linear positive association between adiposity indices and cardiovascular and all-cause mortality was only shown in WWI and ABSI, not BMI, WC and WHtR which showed inverse J-shaped patterns. In the test of joint effects of each index, WWI combined with BMI was the strongest in both diagnostic and prognostic models. WWI is a unique adiposity index that shows linear positive association with both cardiometabolic morbidity and mortality. It also predicts incident cardiometabolic disease, cardiovascular and all-cause mortality risk with excellence in predictive power, especially when combined with BMI.",

author = "Yousung Park and Kim, {Nam Hoon} and Kwon, {Tae Yeon} and Kim, {Sin Gon}",

note = "Funding Information: We thank all participants in the Korean Health Insurance Cohort study, as well as the National Health Insurance Service who developed the NHIS-NSC (2002–2013) database (NHIS-2014-2-006). The views expressed in this article are those of the authors and do not necessarily represent the official position of the department of Korean National Health Insurance Service. This study was partly supported by a grant of the Korean Health Technology R&D Project (HI14C2750), Ministry of Health & Welfare, Republic of Korea. Publisher Copyright: {\textcopyright} 2018, The Author(s).",

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A novel adiposity index as an integrated predictor of cardiometabolic disease morbidity and mortality

Abstract

Bibliographical note

ASJC Scopus subject areas

UN SDGs

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