Effectiveness of A Body Shape Index (ABSI) in predicting chronic diseases and mortality: a systematic review and meta-analysis

M. Ji, S. Zhang, Ruopeng An

Research output: Contribution to journalReview article

Abstract

Anthropometric measures are simple, inexpensive, noninvasive tools to assess the risk of morbidity and mortality. This systematic review assessed the performance of A Body Shape Index (ABSI) in predicting hypertension, cardiovascular disease, type 2 diabetes and all-cause mortality and compared the differential predictability between ABSI and two other common anthropometric measures – body mass index and waist circumference. A keyword and reference search were conducted in the PubMed and Web of Science for articles published until 1 November 2017. Thirty-eight studies were included in the review, including 24 retrospective cohort studies and 14 cross-sectional studies conducted in 15 countries. Meta-analysis found that a standard deviation increase in ABSI was associated with an increase in the odds of hypertension by 13% and type 2 diabetes by 35% and an increase in cardiovascular disease risk by 21% and all-cause mortality risk by 55%. ABSI outperformed body mass index and waist circumference in predicting all-cause mortality but underperformed in predicting chronic diseases. ABSI is highly clustered around the mean with a rather small variance, making it difficult to define a clinical cutoff for clinical practice. Future studies are warranted to assess ABSI's potential usefulness as an anthropometric measure in population-level health surveillance.

Original languageEnglish (US)
Pages (from-to)737-759
Number of pages23
JournalObesity Reviews
Volume19
Issue number5
DOIs
StatePublished - May 2018

Fingerprint

Meta-Analysis
Chronic Disease
Mortality
Waist Circumference
Type 2 Diabetes Mellitus
Body Mass Index
Cardiovascular Diseases
Hypertension
PubMed
Health Status
Cohort Studies
Retrospective Studies
Cross-Sectional Studies
Morbidity
Population

Keywords

  • A body shape index
  • chronic disease
  • mortality
  • review

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Public Health, Environmental and Occupational Health

Cite this

Effectiveness of A Body Shape Index (ABSI) in predicting chronic diseases and mortality : a systematic review and meta-analysis. / Ji, M.; Zhang, S.; An, Ruopeng.

In: Obesity Reviews, Vol. 19, No. 5, 05.2018, p. 737-759.

Research output: Contribution to journalReview article

@article{a0ce66dc89324a17bd0bbda8358a2c0a,
title = "Effectiveness of A Body Shape Index (ABSI) in predicting chronic diseases and mortality: a systematic review and meta-analysis",
abstract = "Anthropometric measures are simple, inexpensive, noninvasive tools to assess the risk of morbidity and mortality. This systematic review assessed the performance of A Body Shape Index (ABSI) in predicting hypertension, cardiovascular disease, type 2 diabetes and all-cause mortality and compared the differential predictability between ABSI and two other common anthropometric measures – body mass index and waist circumference. A keyword and reference search were conducted in the PubMed and Web of Science for articles published until 1 November 2017. Thirty-eight studies were included in the review, including 24 retrospective cohort studies and 14 cross-sectional studies conducted in 15 countries. Meta-analysis found that a standard deviation increase in ABSI was associated with an increase in the odds of hypertension by 13{\%} and type 2 diabetes by 35{\%} and an increase in cardiovascular disease risk by 21{\%} and all-cause mortality risk by 55{\%}. ABSI outperformed body mass index and waist circumference in predicting all-cause mortality but underperformed in predicting chronic diseases. ABSI is highly clustered around the mean with a rather small variance, making it difficult to define a clinical cutoff for clinical practice. Future studies are warranted to assess ABSI's potential usefulness as an anthropometric measure in population-level health surveillance.",
keywords = "A body shape index, chronic disease, mortality, review",
author = "M. Ji and S. Zhang and Ruopeng An",
year = "2018",
month = "5",
doi = "10.1111/obr.12666",
language = "English (US)",
volume = "19",
pages = "737--759",
journal = "Obesity Reviews",
issn = "1467-7881",
publisher = "Wiley-Blackwell",
number = "5",

}

TY - JOUR

T1 - Effectiveness of A Body Shape Index (ABSI) in predicting chronic diseases and mortality

T2 - a systematic review and meta-analysis

AU - Ji, M.

AU - Zhang, S.

AU - An, Ruopeng

PY - 2018/5

Y1 - 2018/5

N2 - Anthropometric measures are simple, inexpensive, noninvasive tools to assess the risk of morbidity and mortality. This systematic review assessed the performance of A Body Shape Index (ABSI) in predicting hypertension, cardiovascular disease, type 2 diabetes and all-cause mortality and compared the differential predictability between ABSI and two other common anthropometric measures – body mass index and waist circumference. A keyword and reference search were conducted in the PubMed and Web of Science for articles published until 1 November 2017. Thirty-eight studies were included in the review, including 24 retrospective cohort studies and 14 cross-sectional studies conducted in 15 countries. Meta-analysis found that a standard deviation increase in ABSI was associated with an increase in the odds of hypertension by 13% and type 2 diabetes by 35% and an increase in cardiovascular disease risk by 21% and all-cause mortality risk by 55%. ABSI outperformed body mass index and waist circumference in predicting all-cause mortality but underperformed in predicting chronic diseases. ABSI is highly clustered around the mean with a rather small variance, making it difficult to define a clinical cutoff for clinical practice. Future studies are warranted to assess ABSI's potential usefulness as an anthropometric measure in population-level health surveillance.

AB - Anthropometric measures are simple, inexpensive, noninvasive tools to assess the risk of morbidity and mortality. This systematic review assessed the performance of A Body Shape Index (ABSI) in predicting hypertension, cardiovascular disease, type 2 diabetes and all-cause mortality and compared the differential predictability between ABSI and two other common anthropometric measures – body mass index and waist circumference. A keyword and reference search were conducted in the PubMed and Web of Science for articles published until 1 November 2017. Thirty-eight studies were included in the review, including 24 retrospective cohort studies and 14 cross-sectional studies conducted in 15 countries. Meta-analysis found that a standard deviation increase in ABSI was associated with an increase in the odds of hypertension by 13% and type 2 diabetes by 35% and an increase in cardiovascular disease risk by 21% and all-cause mortality risk by 55%. ABSI outperformed body mass index and waist circumference in predicting all-cause mortality but underperformed in predicting chronic diseases. ABSI is highly clustered around the mean with a rather small variance, making it difficult to define a clinical cutoff for clinical practice. Future studies are warranted to assess ABSI's potential usefulness as an anthropometric measure in population-level health surveillance.

KW - A body shape index

KW - chronic disease

KW - mortality

KW - review

UR - http://www.scopus.com/inward/record.url?scp=85045378604&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85045378604&partnerID=8YFLogxK

U2 - 10.1111/obr.12666

DO - 10.1111/obr.12666

M3 - Review article

C2 - 29349876

AN - SCOPUS:85045378604

VL - 19

SP - 737

EP - 759

JO - Obesity Reviews

JF - Obesity Reviews

SN - 1467-7881

IS - 5

ER -