Xin Huang

Dr. Xin Huang

Hunan Normal University, Changsha, Guangdong, China
orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
7 March 2008 in Natural Hazards
Verified
Journal Article
Closed access
PDF file
XHXin Huang
Xin Huang
HTHongzhuan Tan
Hongzhuan Tan
JZJia Zhou
Jia Zhou
TYTubao Yang
Tubao Yang
ABAbuaku Benjamin
Abuaku Benjamin
XLXinli Li
Xinli Li

10 March 2022 in Frontiers in Nutrition
Verified
Journal Article
Open access
YLYing Li
Ying Li
YHYongmei He
Yongmei He
LYLin Yang
Lin Yang
QLQingqi Liu
Qingqi Liu
CLChao Li
Chao Li
XHXin Huang
Xin Huang
Background: The appropriate optimal anthropometric indices and their thresholds within each BMI category for predicting those at a high risk of cardiovascular disease risk factors (CVDRFs) among the Chinese are still under dispute.Objectives: We aimed to identify the best indicators of CVDRFs and the optimal threshold within each BMI category among the Chinese.Methods: Between 2012 and 2020, a total of 500,090 participants were surveyed in Hunan, China. Six anthropometric indices including waist circumference (WC), a body shape index (ABSI), body roundness index (BRI), waist–hip ratio (WHR), hip circumference (HC), and waist–height ratio (WHtR) were evaluated in the present study. Considered CVDRFs included dyslipidaemia, hypertension, diabetes mellitus (DM), and chronic kidney disease (CKD). The associations of anthropometrics with CVDRFs within each BMI category were evaluated through logistic regression models. The area under the receiver operating characteristic curve (AUROC) was used to assess the predictive abilities.Results: For the presence of at least one CVDRFs, the WHR had the highest AUROC in overweight [0.641 (95%CI:0.638, 0.644)] and obese [0.616 (95%CI:0.609, 0.623)] men. BRI had the highest AUROC in underweight [0.649 (95%CI:0.629, 0.670)] and normal weight [0.686 (95%CI:0.683, 0.690)] men. However, the BRI had the highest discrimination ability among women in all the BMI categories, with AUROC ranging from 0.641 to 0.727. In most cases, the discriminatory ability of WHtR was similar to BRI and was easier to calculate; therefore, thresholds of BRI, WHR, and WHtR for CVDRFs identification were all calculated. In men, BRI thresholds of 1.8, 3.0, 3.9, and 5.0, WHtR thresholds of 0.41, 0.48, 0.53, and 0.58, and WHR thresholds of 0.81, 0.88, 0.92, and 0.95 were identified as optimal thresholds across underweight, normal weight, overweight, and obese populations, respectively. The corresponding BRI values in women were 1.9, 2.9, 4.0, and 5.2, respectively, and WHtR were 0.41, 0.48, 0.54, and 0.59, while the WHR values were 0.77, 0.83, 0.88, and 0.90. The recommended BRI, WHtR, or WHR cut-offs could not statistically differentiate high-risk CKD or hypercholesterolemia populations.Conclusions: We found that BRI and WHR were superior to other indices for predicting CVD risk factors, except CKD or hypercholesterolemia, among the Chinese.


1 January 2021 in World Neurosurgery
Verified
Journal Article
Closed access
YYyujie Yang
yujie Yang
XHXin Huang
Xin Huang
XGXiao-Ning Gao
Xiao-Ning Gao
BXBing Xia
Bing Xia
JGJian-Bo Gao
Jian-Bo Gao
JHJinghui Huang
Jinghui Huang

1 October 2011 in European Journal of Obstetrics & Gynecology and Reproductive Biology
Verified
Journal Article
Closed access
XHXin Huang
Xin Huang
JLJun Lei
Jun Lei
HTHongzhuan Tan
Hongzhuan Tan
MWMark Walker
Mark Walker
JZJia Zhou
Jia Zhou
SWShi Wu Wen
Shi Wu Wen

1 January 2020 in Journal of Affective Disorders
Verified
Journal Article
Closed access
RHRuirui Huang
Ruirui Huang
DYDongqi Yang
Dongqi Yang
BLBeimei Lei
Beimei Lei
CYChunli Yan
Chunli Yan
YTYumei Tian
Yumei Tian
JLJun Lei
Jun Lei