A Body Shape Index (ABSI) and Hip Index (HI) Adjust Waist and Hip Circumferences for Body Mass Index, But Only ABSI Predicts High Cardiovascular Risk in the Spanish Caucasian Population

被引:8
作者
Corbaton-Anchuelo, Arturo [1 ,2 ]
Krakauer, Jesse C. [3 ]
Serrano-Garcia, Irene [2 ,4 ]
Krakauer, Nir Y. [5 ]
Martinez-Larrad, Maria Teresa [1 ]
Serrano-Rios, Manuel [1 ,6 ]
机构
[1] Spanish Biomed Res Ctr Diabet & Associated Metab, CB07 08 0030 Grp, Madrid, Spain
[2] Inst Invest Sanitaria Hosp Clin San Carlos IdISSC, Madrid, Spain
[3] Associated Phys Endocrinol, Berkley, MI USA
[4] Hosp Clin San Carlos, UGC Med Prevent, Madrid, Spain
[5] CUNY City Coll, Dept Civil Engn, New York, NY 10031 USA
[6] Real Acad Nacl Med, Madrid, Spain
关键词
a body shape index; hip index; waist-to-height ratio; cardiovascular risk; standardized analysis;
D O I
10.1089/met.2020.0129
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Background: Our aim in this study was to investigate if Hip index (HI) improves the identification of cardiovascular risk (CVR) beyond that achieved with either the waist-to-height ratio (WHtR) or body mass index (BMI)-adjusted waist circumference (A body shape index [ABSI]) in the Spanish Caucasian population. Methods: Three thousand eight hundred forty-four subjects (1754 males, response rate 75.8%) were included. Anthropometric indices (AIs) included were HI, ABSI, and WHtR. CVR was estimated using the Framingham, Systematic COronary Risk Evaluation (SCORE), and American College of Cardiology/American Heart Association (ACC/AHA) charts. Areas under the receiver operating characteristic curve (AUC) were obtained to evaluate the performance of AIs in detecting CVR. We also estimated the AIs' standardized Z-scores and compared them against the CVR. Results: AUC demonstrated that the best AI in males to estimate higher CVR according to Framingham and ACC/AHA charts was WHtR. In females, WHtR also achieved good performance and showed higher prediction capacity than the other AIs. After transforming to Z-scores, ABSI was the best linear predictor for CVR according to SCORE and ACC/AHA, although WHtR also proved to be good. HI did not associate with the measures of CVR. Conclusions: HI does not predict high CVR in the Spanish Caucasian Population. However, ABSI is directly and linearly related to high CVR, with a higher performance than WHtR when standardized and evaluated as a linear predictor.
引用
收藏
页码:352 / 357
页数:6
相关论文
共 21 条
[1]  
[Anonymous], 2013, EUR J PUBLIC HEALTH
[2]   Adipose Tissue Distribution, Inflammation and Its Metabolic Consequences, Including Diabetes and Cardiovascular Disease [J].
Chait, Alan ;
den Hartigh, Laura J. .
FRONTIERS IN CARDIOVASCULAR MEDICINE, 2020, 7
[3]   Estimation of ten-year risk of fatal cardiovascular disease in Europe:: the SCORE project [J].
Conroy, RM ;
Pyörälä, K ;
Fitzgerald, AP ;
Sans, S ;
Menotti, A ;
De Backer, G ;
De Bacquer, D ;
Ducimetière, P ;
Jousilahti, P ;
Keil, U ;
Njolstad, I ;
Oganov, RG ;
Thomsen, T ;
Tunstall-Pedoe, H ;
Tverdal, A ;
Wedel, H ;
Whincup, P ;
Wilhelmsen, L ;
Graham, IM .
EUROPEAN HEART JOURNAL, 2003, 24 (11) :987-1003
[4]   Body fat anthropometric indexes: Which of those identify better high cardiovascular risk subjects? A comparative study in Spanish population [J].
Corbaton Anchuelo, Arturo ;
Teresa Martinez-Larrad, Maria ;
Serrano-Garcia, Irene ;
Fernandez Perez, Cristina ;
Serrano-Rios, Manuel .
PLOS ONE, 2019, 14 (05)
[5]   General cardiovascular risk profile for use in primary care - The Framingham Heart Study [J].
D'Agostino, Ralph B. ;
Vasan, Ramachandran S. ;
Pencina, Michael J. ;
Wolf, Philip A. ;
Cobain, Mark ;
Massaro, Joseph M. ;
Kannel, William B. .
CIRCULATION, 2008, 117 (06) :743-753
[6]   Body shape index in comparison with other anthropometric measures in prediction of total and cause-specific mortality [J].
Dhana, Klodian ;
Kavousi, Maryam ;
Ikram, M. Arfan ;
Tiemeier, Henning W. ;
Hofman, Albert ;
Franco, Oscar H. .
JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, 2016, 70 (01) :90-96
[7]   Anthropometric measures in cardiovascular disease prediction: comparison of laboratory-based versus non-laboratory-based model [J].
Dhana, Klodian ;
Ikram, M. Arfan ;
Hofman, Albert ;
Franco, Oscar H. ;
Kavousi, Maryam .
HEART, 2015, 101 (05) :377-383
[8]   The association between A Body Shape Index and mortality: Results from an Australian cohort [J].
Grant, Janet F. ;
Chittleborough, Catherine R. ;
Shi, Zumin ;
Taylor, Anne W. .
PLOS ONE, 2017, 12 (07)
[9]   Assessing a new hip index as a risk predictor for diabetes mellitus [J].
He, Sen ;
Zheng, Yi ;
Chen, Xiaoping .
JOURNAL OF DIABETES INVESTIGATION, 2018, 9 (04) :799-805
[10]   Body circumferences: clinical implications emerging from a new geometric model [J].
Heymsfield, Steven B. ;
Martin-Nguyen, Allison ;
Fong, Tung M. ;
Gallagher, Dympna ;
Pietrobelli, Angelo .
NUTRITION & METABOLISM, 2008, 5 (1)