Jia Zhang1, Lizheng Fang1, Lifeng Qiu1, Lijuan Huang1, Wenhua Zhu1, Yunsong Yu2. 1. Department of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China. 2. Department of Infectious Disease and Hepatopathy, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China. Electronic address: yvys119@163.com.
Abstract
BACKGROUND AND AIMS: The association between anthropometric indices of body composition and arterial stiffness is inconclusive. The objective of this study was to examine the predictive ability of two new obesity indices: a body shape index (ABSI), and a body roundness index (BRI), for the identification of arterial stiffness among Chinese adults, as well as to compare the relative strength of association between the anthropometric indices and arterial stiffness. METHODS: A total of 10,197 subjects were recruited in this cross-sectional study. We tested the association between anthropometric indices (body mass index [BMI], waist circumference [WC], waist-height-ratio [WHtR], ABSI and BRI) and brachial-ankle pulse wave velocity (PWV). Receiver operating characteristic curve and area under curve (AUC) were employed to evaluate the predictive value of the anthropometric indices for identification of arterial stiffness. RESULTS: After adjusting for confounding variables, BRI (linear regression: 0.112; AUC: 0.726; OR: 1.228 for female and linear regression: 0.047; AUC: 0.631; OR: 1.173 for male) exhibited a more powerful predictive ability of arterial stiffness than ABSI (linear regression: 0.110; AUC: 0.674; OR: 1.315 for female and linear regression: 0.058; AUC: 0.610; OR: 1.150 for male) and WC (linear regression: 0.078; AUC: 0.699; logistic regression: negative for female and linear regression: negative; AUC: 0.593; logistic regression: negative for male) while having a similar predictive value to that of WHtR (linear regression: 0.113; AUC: 0.726; OR: 1.228 for female and linear regression: 0.047; AUC: 0.631; OR: 1.185 for male) among both sexes. BMI (linear and logistic regression: negative; AUC: 0.660 for female and 0.568 for male) had the lowest predictive power in both sex categories. The optimal cut-off of WHtR for detecting arterial stiffness was 0.49 in females and 0.53 in males, that of BRI was 3.19 in females and 3.89 in males. CONCLUSIONS: WHtR, ABSI and BRI were significantly associated with arterial stiffness. BRI and WHtR, rather than ABSI, showed superior predictive abilities for arterial stiffness in both sexes.
BACKGROUND AND AIMS: The association between anthropometric indices of body composition and arterial stiffness is inconclusive. The objective of this study was to examine the predictive ability of two new obesity indices: a body shape index (ABSI), and a body roundness index (BRI), for the identification of arterial stiffness among Chinese adults, as well as to compare the relative strength of association between the anthropometric indices and arterial stiffness. METHODS: A total of 10,197 subjects were recruited in this cross-sectional study. We tested the association between anthropometric indices (body mass index [BMI], waist circumference [WC], waist-height-ratio [WHtR], ABSI and BRI) and brachial-ankle pulse wave velocity (PWV). Receiver operating characteristic curve and area under curve (AUC) were employed to evaluate the predictive value of the anthropometric indices for identification of arterial stiffness. RESULTS: After adjusting for confounding variables, BRI (linear regression: 0.112; AUC: 0.726; OR: 1.228 for female and linear regression: 0.047; AUC: 0.631; OR: 1.173 for male) exhibited a more powerful predictive ability of arterial stiffness than ABSI (linear regression: 0.110; AUC: 0.674; OR: 1.315 for female and linear regression: 0.058; AUC: 0.610; OR: 1.150 for male) and WC (linear regression: 0.078; AUC: 0.699; logistic regression: negative for female and linear regression: negative; AUC: 0.593; logistic regression: negative for male) while having a similar predictive value to that of WHtR (linear regression: 0.113; AUC: 0.726; OR: 1.228 for female and linear regression: 0.047; AUC: 0.631; OR: 1.185 for male) among both sexes. BMI (linear and logistic regression: negative; AUC: 0.660 for female and 0.568 for male) had the lowest predictive power in both sex categories. The optimal cut-off of WHtR for detecting arterial stiffness was 0.49 in females and 0.53 in males, that of BRI was 3.19 in females and 3.89 in males. CONCLUSIONS: WHtR, ABSI and BRI were significantly associated with arterial stiffness. BRI and WHtR, rather than ABSI, showed superior predictive abilities for arterial stiffness in both sexes.
Authors: Manuel A Gomez-Marcos; Leticia Gomez-Sanchez; Maria Carmen Patino-Alonso; Jose I Recio-Rodriguez; Marta Gomez-Sanchez; Fernando Rigo; Ruth Marti; Cristina Agudo-Conde; Rafel Ramos; Emiliano Rodriguez-Sanchez; Jose A Maderuelo-Fernandez; Luis Garcia-Ortiz Journal: Medicine (Baltimore) Date: 2018-11 Impact factor: 1.889
Authors: Hee Seon Choi; Young Hye Cho; Sang Yeoup Lee; Eun Ju Park; Yun Jin Kim; Jeong Gyu Lee; Yu Hyeon Yi; Young Jin Tak; Hye Rim Hwang; Seung Hun Lee Journal: Diabetes Metab Syndr Obes Date: 2019-09-03 Impact factor: 3.168