| Purpose: Obesity has become one of the important public health issues,seriously threatening the physical and mental health of residents and inducing other chronic diseases.Currently,many body measurement indicators used to define obesity have certain limitations.This study analyzed the relationship between Body Mass Index(BMI),Waist Circumference(WC),and Body Fat Rate(BFR),a commonly used measurement of obesity,to explore the value of BFR in the assessment of population obesity.Methods: This study utilized data from 1,087 rural residents aged 35 years and older in the Lanzhou Rural Cardiovascular Disease and Risk Factors Survey.Based on Bayesian regression,the study constructed the location submodel and precision submodel of BFR,respectively,to explore the relationship between general obesity and central obesity with BFR,and to evaluate their impact on the variance of BFR.Additionally,a Bayesian beta regression model was fitted to explore the additive interactive relationship between general obesity and central obesity with BFR.Results: The average value of BFR in the study population was 0.28 with a standard deviation of 0.07.The results of the Bayesian regression positional submodel showed that compared to individuals with low body weight or normal BMI,the average BFR value of overweight individuals increased by 0.042,and that of individuals with systemic obesity increased by 0.076.Compared to individuals with non-central obesity,the average BFR value of individuals with central obesity increased by 0.029.The Bayesian regression interaction indicated that compared to individuals with low body weight or normal BMI and non-central obesity,those with low body weight or normal BMI and central obesity had an average increase of 0.030 in BFR value,overweight individuals with non-central obesity had an average increase of 0.051,overweight individuals with central obesity had an average increase of 0.070,and the magnitude of BFR increase was highest in individuals with systemic and central obesity,at 0.107.There were also some differences in the effects among different genders.The accuracy submodel results also showed that the accuracy of BFR prediction increased to varying degrees with changes in obesity type measured by BMI and WC.The additive interaction results(2×3 table of BFR classifications)of BMI and WC on BFR obesity showed that the relative risk of BFR obesity in overweight individuals with central obesity was 0.13 lower than when there was no interaction between BMI and WC.However,when central obesity and general obesity coexisted,the relative risk was 3.63 lower than when neither existed.The results of the additive interaction effect of general and central obesity on BFR(Bayesian logistic regression model for continuous BFR)showed that the excess relative risk of BFR in overweight individuals with central obesity was 0.505 higher than when both existed separately.For individuals with both general and central obesity,the excess relative risk of BFR was 0.930 higher than when both existed separately.Conclusion: The impact of the general obesity index BMI on BFR is greater than that of the central obesity index WC,and the impact on BFR is most significant when general and central obesity coexist.Therefore,BFR is a body measurement index that combines effective information from general and central obesity and has the potential to accurately measure obesity. |