Analysis and Comparison of Different Obesity Evaluation Indices and Their Effects on Hypertension, Diabetes, and Dyslipidaemia
Year: 2020
Type: preprint
Study design: Observational Study
Abstract: Background: Standard measures that define obesity and related disorders varies widely, this study investigated the relationship between different anthropometric indices of obesity criteria and their correlation to hypertension, diabetes, and dyslipidaemia in a local adult population in China.Methods: The study participants underwent the same questionnaire survey, bio-impedance body composition analysis, and blood laboratory test. The t-test and chi-square test were used to compare the characteristics of different groups, and the receiver operating characteristic curve was used to analyse the correlation of different indicators and explore their cut-off values.Results: The study comprised 14,926 participants, of whom 39.80% (5948/14,926) were male, and the mean age of the study population was 56.75±9.74 years. The waist circumference had the greatest influence on all factors, and BMI, AVI, and BRI were similarly correlated. WHtR had the largest AUC for predicting obesity in both sexes, and in addition, we provided a recommended cut-off value of BMI, WHR, WHtR, BAI, OBD, CI, AVI, ABSI and BRI. WHtR had the largest AUC for predicting diabetes, hypertension, and dyslipidaemia, while BMI also served as a good predictive indicator (all P<0.001).Conclusions: Among the samples in this study, WHtR may be the best indicator for predicting obesity, hypertension, and dyslipidaemia, and AVI is a good indicator in Chinese adults specifically.
Institution: Ningxia Medical University
Language: English
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4213165743