The value of combining the simple anthropometric obesity parameters, Body Mass Index (BMI) and a Body Shape Index (ABSI), to assess the risk of non-alcoholic fatty liver disease

被引:18
作者
Kuang, Maobin [1 ,2 ]
Sheng, Guotai [2 ]
Hu, Chong [3 ]
Lu, Song [1 ,2 ]
Peng, Nan [1 ,2 ]
Zou, Yang [4 ]
机构
[1] Nanchang Univ, Med Coll, Nanchang 330006, Jiangxi, Peoples R China
[2] Jiangxi Prov Peoples Hosp, Dept Cardiol, Nanchang 330006, Jiangxi, Peoples R China
[3] Jiangxi Prov Peoples Hosp, Dept Gastroenterol, Nanchang 330006, Jiangxi, Peoples R China
[4] Jiangxi Prov Peoples Hosp, Jiangxi Cardiovasc Res Inst, Nanchang 330006, Jiangxi, Peoples R China
关键词
Body mass index; Waist circumference; ABSI; ARI; Receiver operating characteristic analysis; Non-alcoholic fatty liver disease; WAIST CIRCUMFERENCE; INSULIN-RESISTANCE; ABDOMINAL FAT; MORTALITY; EPIDEMIOLOGY; COMBINATION; PREDICTION;
D O I
10.1186/s12944-022-01717-8
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Background Body mass index (BMI) and A Body Shape Index (ABSI) are current independent risk factors for non-alcoholic fatty liver disease (NAFLD). The aim of this study was to explore the value of combining these two most common obesity indexes in identifying NAFLD. Methods The subjects in this study were 14,251 individuals from the NAfld in the Gifu Area, Longitudinal Analysis (NAGALA) cohort who underwent routine health examination. We integrated BMI with WC and with ABSI to construct 6 combined obesity indicators-obesity phenotypes, the combined anthropometric risk index (ARI) for BMI and ABSI, optimal proportional combination OBMI+WC and OBMI+ABSI, and multiplicative combination BMI*WC and BMI*ABSI. Several multivariable logistic regression models were established to evaluate the relationship between BMI, WC, ABSI, and the above six combined indicators and NAFLD; receiver operating characteristic (ROC) curves were drawn to compare the ability of each obesity indicator to identify NAFLD. Results A total of 2,507 (17.59%) subjects were diagnosed with NAFLD. BMI, WC, ABSI, and all other combined obesity indicators were significantly and positively associated with NAFLD in the current study, with BMI*WC having the strongest correlation with NAFLD in female subjects (OR per SD increase: 3.13) and BMI*ABSI having the strongest correlation in male subjects (OR per SD increase: 2.97). ROC analysis showed that ARI and OBMI+ABSI had the best diagnostic performance in both sexes, followed by BMI*WC (area under the curve: female 0.8912; male 0.8270). After further age stratification, it was found that ARI and multiplicative indicators (BMI*WC, BMI*ABSI) and optimal proportional combination indicators (OBMI+WC, OBMI+ABSI) significantly improved the NAFLD risk identification ability of the basic anthropometric parameters in middle-aged females and young and middle-aged males. Conclusion In the general population, BMI combined with ABSI best identified obesity-related NAFLD risk and was significantly better than BMI or WC, or ABSI. We find that ARI and the multiplicative combined indicators BMI*WC and BMI*ABSI further improved risk prediction and may be proposed for possible use in clinical practice.
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页数:15
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共 51 条
[1]   Poor Awareness of Liver Disease Among Adults With NAFLD in the United States [J].
Alqahtani, Saleh A. ;
Paik, James M. ;
Biswas, Rakesh ;
Arshad, Tamoore ;
Henry, Linda ;
Younossi, Zobair M. .
HEPATOLOGY COMMUNICATIONS, 2021, 5 (11) :1833-1847
[2]   Development of health-related waist circumference thresholds within BMI categories [J].
Ardern, CI ;
Janssen, I ;
Ross, R ;
Katzmarzyk, PT .
OBESITY RESEARCH, 2004, 12 (07) :1094-1103
[3]   Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies [J].
Barba, C ;
Cavalli-Sforza, T ;
Cutter, J ;
Darnton-Hill, I ;
Deurenberg, P ;
Deurenberg-Yap, M ;
Gill, T ;
James, P ;
Ko, G ;
Miu, AH ;
Kosulwat, V ;
Kumanyika, S ;
Kurpad, A ;
Mascie-Taylor, N ;
Moon, HK ;
Nishida, C ;
Noor, MI ;
Reddy, KS ;
Rush, E ;
Schultz, JT ;
Seidell, J ;
Stevens, J ;
Swinburn, B ;
Tan, K ;
Weisell, R ;
Wu, ZS ;
Yajnik, CS ;
Yoshiike, N ;
Zimmet, P .
LANCET, 2004, 363 (9403) :157-163
[4]   Nonalcoholic fatty liver disease and aging: Epidemiology to management [J].
Bertolotti, Marco ;
Lonardo, Amedeo ;
Mussi, Chiara ;
Baldelli, Enrica ;
Pellegrini, Elisa ;
Ballestri, Stefano ;
Romagnoli, Dante ;
Loria, Paola .
WORLD JOURNAL OF GASTROENTEROLOGY, 2014, 20 (39) :14185-14204
[5]   Estrogen Signals Through Peroxisome Proliferator-Activated Receptor - γ Coactivator 1α to Reduce Oxidative Damage Associated With Diet-Induced Fatty Liver Disease [J].
Besse-Patin, Aurele ;
Leveille, Melissa ;
Oropeza, Daniel ;
Nguyen, Bich N. ;
Prat, Annik ;
Estall, Jennifer L. .
GASTROENTEROLOGY, 2017, 152 (01) :243-256
[6]   Beyond BMI - Phenotyping the Obesities [J].
Blundell, John E. ;
Dulloo, Abdul G. ;
Salvador, Javier ;
Fruehbeck, Gema .
OBESITY FACTS, 2014, 7 (05) :322-328
[7]   Ectopic fat, insulin resistance and non-alcoholic fatty liver disease [J].
Byrne, Christopher D. .
PROCEEDINGS OF THE NUTRITION SOCIETY, 2013, 72 (04) :412-419
[8]   General and abdominal obesity parameters and their combination in relation to mortality: a systematic review and meta-regression analysis [J].
Carmienke, S. ;
Freitag, M. H. ;
Pischon, T. ;
Schlattmann, P. ;
Fankhaenel, T. ;
Goebel, H. ;
Gensichen, J. .
EUROPEAN JOURNAL OF CLINICAL NUTRITION, 2013, 67 (06) :573-585
[9]   Comparison of Body Mass Index and Fat Indices in Predicting the Severity of Nonalcoholic Fatty Liver Disease Among Children Who Are Overweight and Obese [J].
Chao, Hsun-Chin ;
Lin, Hsin-Yeh .
FRONTIERS IN PEDIATRICS, 2021, 9
[10]   Effect of Sarcopenia and Body Shape on Cardiovascular Disease According to Obesity Phenotypes [J].
Cho, Hyun-Woong ;
Chung, Wankyo ;
Moon, Shinje ;
Ryu, Ohk-Hyun ;
Kim, Min Kyung ;
Kang, Jun Goo .
DIABETES & METABOLISM JOURNAL, 2021, 45 (02) :209-+