Match!

The association between A Body Shape Index and mortality: Results from an Australian cohort

Published on Jul 31, 2017in PLOS ONE2.776
· DOI :10.1371/journal.pone.0181244
Janet F. Grant17
Estimated H-index: 17
,
Catherine R. Chittleborough23
Estimated H-index: 23
+ 1 AuthorsAnne W. Taylor49
Estimated H-index: 49
Abstract
  • References (39)
  • Citations (6)
📖 Papers frequently viewed together
232 Citations
2018
2009
5 Authors (Yee-Chun Chen, ..., Chi-Yin Hu)
78% of Scinapse members use related papers. After signing in, all features are FREE.
References39
Newest
#1Mahsa Sardarinia (Shahid Beheshti University of Medical Sciences and Health Services)H-Index: 4
#2Roya Ansari (Shahid Beheshti University of Medical Sciences and Health Services)H-Index: 1
Last. Mohammadreza Bozorgmanesh (Shahid Beheshti University of Medical Sciences and Health Services)H-Index: 15
view all 5 authors...
Abstract Objectives A body shape index (ABSI) based on waist circumference (WC) adjusted for height and weight has been shown to be a risk factor for premature mortality. The aim of this study was to demonstrate that ABSI predicts mortality hazard better than other anthropometric measures in an Iranian population. Methods The study population included 9242 Iranian participants in Tehran, aged ≥30 y, followed for a median 10 y. The risk for mortality was estimated by incorporating ABSI, body mass...
7 CitationsSource
23 CitationsSource
#1Klodian Dhana (EUR: Erasmus University Rotterdam)H-Index: 17
#2Maryam Kavousi (EUR: Erasmus University Rotterdam)H-Index: 39
Last. Oscar H. Franco (EUR: Erasmus University Rotterdam)H-Index: 80
view all 6 authors...
Background The association of body mass index (BMI) with mortality remains controversial among the middle-aged and elderly. Moreover, the contribution of other anthropometric measures to predict mortality is unclear. Methods We assessed the association of BMI, waist circumference (WC), waist-to-height ratio (WHtR), waist-to-hip ratio (WHR) and a body shape index (ABSI=WC/(BMI 2/3 ×height 1/2 )) with total, cardiovascular and cancer mortality by using Cox proportion hazard models among 2626 men a...
44 CitationsSource
#1Karine R. Sahakyan (Mayo Clinic)H-Index: 7
#2Virend K. SomersH-Index: 93
Last. Francisco Lopez-JimenezH-Index: 48
view all 11 authors...
Background The relation between central obesity and survival in community-dwelling adults with a normal body mass index (BMI) is not well known.
131 CitationsSource
122 CitationsSource
Last. GevaH-Index: 1
view all 10 authors...
Background Obesity represents an important health problem and its association with cardiovascular risk factors is well-known. The aim of this work was to assess the correlation between obesity and mortality (both, all-cause mortality and the combined variable of all-cause mortality plus the appearance of a non-fatal first cardiovascular event) in a general population sample from the south-east of Spain.
17 CitationsSource
In a wide variety of disease states, obese persons have been shown to experience lower mortality and better survival than that shown by the nonobese. These states include diabetes,1–3 coronary artery disease,4,5 heart failure,6 peripheral arterial disease,5 hypertension,7 chronic obstructive pulmonary disease,8 lung cancer,9 and esophageal adenocarcinoma.10 Superior survival among the obese patients has also been demonstrated after myocardial infarction,11 coronary revascularization,12 and angio...
80 CitationsSource
Objectives. We examined the association of body mass index with all-cause and cardiovascular disease (CVD)–specific mortality risks among US adults and calculated the rate advancement period by which death is advanced among the exposed groups.Methods. We used data from the Third National Health and Nutrition Examination Survey (1988–1994) linked to the National Death Index mortality file with follow-up to 2006 (n = 16 868). We used Cox proportional hazards regression to estimate the rate of dyin...
85 CitationsSource
#1Nir Y. Krakauer (CCNY: City College of New York)H-Index: 21
#2Jesse C. KrakauerH-Index: 10
Background A Body Shape Index (ABSI) had been derived from a study of the United States National Health and Nutrition Examination Survey (NHANES) 1999–2004 mortality data to quantify the risk associated with abdominal obesity (as indicated by a wide waist relative to height and body mass index). A national survey with longer follow-up, the British Health and Lifestyle Survey (HALS), provides another opportunity to assess the predictive power for mortality of ABSI. HALS also includes repeat obser...
59 CitationsSource
#1Lara Roberson (Baptist Health)H-Index: 8
#2Ehimen Aneni (Baptist Health)H-Index: 11
Last. Khurram Nasir (FIU: Florida International University)H-Index: 55
view all 14 authors...
Background A subgroup has emerged within the obese that do not display the typical metabolic disorders associated with obesity and are hypothesized to have lower risk of complications. The purpose of this review was to analyze the literature which has examined the burden of cardiovascular disease (CVD) and all-cause mortality in the metabolically healthy obese (MHO) population.
159 CitationsSource
Cited By6
Newest
#1Joel Tate (UWA: University of Western Australia)
#2Matthew Knuiman (UWA: University of Western Australia)H-Index: 60
Last. David G. Bruce (Fremantle Hospital)H-Index: 39
view all 5 authors...
Aims/hypothesis This prospective association study aimed to compare the relationship between each of four obesity indices and mortality risk in people with type 2 diabetes.
Source
#1R. Jayawardana (UoC: University of Colombo)H-Index: 19
#2Priyanga Ranasinghe (UoC: University of Colombo)H-Index: 19
Last. Andrew P Hills (UoC: University of Colombo)H-Index: 1
view all 6 authors...
CONTEXT: Obesity is defined as an abnormal or excessive accumulation of body fat. Traditionally, it has been assessed using a wide range of anthropometric, biochemical, and radiological measurements, with each having its advantages and disadvantages. OBJECTIVE: A systematic review of the literature was conducted to identify novel anthropometric measurements of obesity in adults. DATA SOURCES: Using a combination of MeSH terms, the PubMed database was searched. DATA EXTRACTION: The current system...
1 CitationsSource
#1Thaís da Silva Ferreira (UERJ: Rio de Janeiro State University)H-Index: 4
#2Maria Inês Barreto Silva (UERJ: Rio de Janeiro State University)H-Index: 8
Last. Márcia Regina Simas Torres Klein (UERJ: Rio de Janeiro State University)H-Index: 6
view all 10 authors...
Source
#1Sae-Kyun Jang (Ajou University)
#2Jae-Hyun Kim (DU: Dankook University)
Abstract Objective The objective of this study was to evaluate the association between obesity-related indicators such as Body Mass Index (BMI) and A Body Shape Index (ABSI) and chronic diseases in Korean adults. Methods Data from the Sixth Korea National Health and Nutrition Examination Survey (KNHANES 6th) from 2013 to 2015 were analyzed. The total of 13,155 participants were selected for this analysis. The primary analysis was based on Chi-square test and multivariate logistic regression anal...
Source
#1Wang Guang Li (Soochow University (Suzhou))
#2Zhang Rui (Soochow University (Suzhou))
Last. Zhang Yong Hong (Soochow University (Suzhou))H-Index: 1
view all 8 authors...
Abstract Objective We aimed to evaluate the combined effects of a high body shape index (ABSI) and a high serum C-reactive protein (CRP) level on the incidence of ischemic stroke in a Mongolian population in China. Methods A prospective cohort study was conducted among 2,589 participants from June 2002 to July 2012 in Inner Mongolia, China. The participants were categorized into 4 groups according to their level of ABSI and CRP. Cox proportional hazards models were used to assess the hazard rati...
Source
#1Nir Y. Krakauer (CCNY: City College of New York)H-Index: 21
#2Jesse C. KrakauerH-Index: 10
Independent indices (height, body mass index, a body shape index, and hip index) derived from basic anthropometrics have been found to be powerful predictors of mortality hazard, especially when the attributable risks are summed over these indices to give an anthropometric risk index (ARI). The metabolic syndrome (MS) is defined based on the co-occurrence of anthropometric, clinical, and laboratory criteria and is also widely employed for evaluating disease risk. Here, we investigate correlation...
1 CitationsSource
#1M. Ji (UIUC: University of Illinois at Urbana–Champaign)H-Index: 3
#2S. Zhang (SUS: Shanghai University of Sport)H-Index: 3
Last. Ruopeng An (UIUC: University of Illinois at Urbana–Champaign)H-Index: 20
view all 3 authors...
10 CitationsSource
Background Obesity is known to be related to the development of type 2 diabetes mellitus (T2D). The most commonly used anthropometric indicator (body mass index [BMI]) presents several limitations such as the lack of possibility to distinguish adipose tissue distribution. Thus, this study examines the suitability of a body shape index (ABSI) for prediction of body composition and sarcopenic obesity in obese or overweight T2D subjects.
4 CitationsSource