An Anthropometric Risk Index Based on Combining Height, Weight, Waist, and Hip Measurements
Body mass index (BMI) can be considered an application of a power law model to express body weight independently of height. Based on the same power law principle, we previously introduced a body shape index (ABSI) to be independent of BMI and height. Here, we develop a new hip index (HI) whose norma...
Saved in:
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2016-01-01
|
Series: | Journal of Obesity |
Online Access: | http://dx.doi.org/10.1155/2016/8094275 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832559282503024640 |
---|---|
author | Nir Y. Krakauer Jesse C. Krakauer |
author_facet | Nir Y. Krakauer Jesse C. Krakauer |
author_sort | Nir Y. Krakauer |
collection | DOAJ |
description | Body mass index (BMI) can be considered an application of a power law model to express body weight independently of height. Based on the same power law principle, we previously introduced a body shape index (ABSI) to be independent of BMI and height. Here, we develop a new hip index (HI) whose normalized value is independent of height, BMI, and ABSI. Similar to BMI, HI demonstrates a U-shaped relationship to mortality in the Third National Health and Nutrition Examination Survey (NHANES III) population. We further develop a new anthropometric risk index (ARI) by adding log hazard ratios from separate nonlinear regressions of the four indicators, height, BMI, ABSI, and HI, against NHANES III mortality hazard. ARI far outperforms any of the individual indicators as a linear mortality predictor in NHANES III. The superior performance of ARI also holds for predicting mortality hazard in the independent Atherosclerosis Risk in Communities (ARIC) cohort. Thus, HI, along with BMI and ABSI, can capture the risk profile associated with body size and shape. These can be combined in a risk indicator that utilizes complementary information from height, weight, and waist and hip circumference. The combined ARI is promising for further research and clinical applications. |
format | Article |
id | doaj-art-6ac214fbfef6474caf5d39fe2cb04a4f |
institution | Kabale University |
issn | 2090-0708 2090-0716 |
language | English |
publishDate | 2016-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Obesity |
spelling | doaj-art-6ac214fbfef6474caf5d39fe2cb04a4f2025-02-03T01:30:29ZengWileyJournal of Obesity2090-07082090-07162016-01-01201610.1155/2016/80942758094275An Anthropometric Risk Index Based on Combining Height, Weight, Waist, and Hip MeasurementsNir Y. Krakauer0Jesse C. Krakauer1Department of Civil Engineering, The City College of New York, New York, NY, USAMetro Detroit Diabetes and Endocrinology, Southfield, MI, USABody mass index (BMI) can be considered an application of a power law model to express body weight independently of height. Based on the same power law principle, we previously introduced a body shape index (ABSI) to be independent of BMI and height. Here, we develop a new hip index (HI) whose normalized value is independent of height, BMI, and ABSI. Similar to BMI, HI demonstrates a U-shaped relationship to mortality in the Third National Health and Nutrition Examination Survey (NHANES III) population. We further develop a new anthropometric risk index (ARI) by adding log hazard ratios from separate nonlinear regressions of the four indicators, height, BMI, ABSI, and HI, against NHANES III mortality hazard. ARI far outperforms any of the individual indicators as a linear mortality predictor in NHANES III. The superior performance of ARI also holds for predicting mortality hazard in the independent Atherosclerosis Risk in Communities (ARIC) cohort. Thus, HI, along with BMI and ABSI, can capture the risk profile associated with body size and shape. These can be combined in a risk indicator that utilizes complementary information from height, weight, and waist and hip circumference. The combined ARI is promising for further research and clinical applications.http://dx.doi.org/10.1155/2016/8094275 |
spellingShingle | Nir Y. Krakauer Jesse C. Krakauer An Anthropometric Risk Index Based on Combining Height, Weight, Waist, and Hip Measurements Journal of Obesity |
title | An Anthropometric Risk Index Based on Combining Height, Weight, Waist, and Hip Measurements |
title_full | An Anthropometric Risk Index Based on Combining Height, Weight, Waist, and Hip Measurements |
title_fullStr | An Anthropometric Risk Index Based on Combining Height, Weight, Waist, and Hip Measurements |
title_full_unstemmed | An Anthropometric Risk Index Based on Combining Height, Weight, Waist, and Hip Measurements |
title_short | An Anthropometric Risk Index Based on Combining Height, Weight, Waist, and Hip Measurements |
title_sort | anthropometric risk index based on combining height weight waist and hip measurements |
url | http://dx.doi.org/10.1155/2016/8094275 |
work_keys_str_mv | AT nirykrakauer ananthropometricriskindexbasedoncombiningheightweightwaistandhipmeasurements AT jesseckrakauer ananthropometricriskindexbasedoncombiningheightweightwaistandhipmeasurements AT nirykrakauer anthropometricriskindexbasedoncombiningheightweightwaistandhipmeasurements AT jesseckrakauer anthropometricriskindexbasedoncombiningheightweightwaistandhipmeasurements |