Objective: This study used the National Health and Nutrition Examination Survey(NHANES)database and the population who completed the bone mineral density examination at the First People’s Hospital of Changde as the research objects.To explore the specific relationship between obesity and bone mineral density,and to evaluate the relationship and difference between obesity indicators and bone density.Method: In this study,NHANES(2017-2018)database and the population who completed the bone mineral density examination at the First People’s Hospital of Changde(2019-2020)were selected,and 2271,682 people were selected as the research objects through the inclusion and exclusion criteria.1.Use descriptive research methods to analyze the basic characteristics of the two data populations;2.Use Monofactor Analysis to select variables related to lumbar spine BMD;3.Use Multivarate Linear Regression to analyze the relationship between obesity indicators and lumbar spine BMD under different adjustment models;4.Observe the relationship between obesity indexes and lumbar spine BMD under different adjustment models through Spline Smoothing.SPSS18.0 software and R software used for data analysis.Result: 1、Age,race,education level,weight,height,hip circumference,TOLE,TOPF,BAI,WHR,WHt R in the NHANES(2017-2018)database are related to lumbar spine BMD(p<0.05).The results of multiple linear regression analysis in the adjustment model 4 are TOPF(β=-6.8,95%CI:-8.1,-5.6),WHt R*10(β=-10.4,95%CI:-17.6,-3.2),WHR*10(β=-54.0,95%CI:-65.9,-42.1),BAI(β=-7.2,95%CI:-8.7,-5.7)were negatively correlated with lumbar spine BMD.The Spline Smoothing under the adjustment model 3 shows that TOPF,WHR and lumbar spine BMD are linearly negatively correlated;only in the adjustment model 4(model 3 + lean body mass)curve fitting shows that BAI,WHt R and lumbar spine BMD are linearly negatively correlated.In the adjustment model 4,BMI and lumbar spine BMD are nonlinear,and there is a threshold effect.When BMI<21.3,BMI and lumbar spine BMD are linearly positively correlated,and when BMI is >21.3,BMI and lumbar spine BMD are linearly negatively correlated.2、A total of 682 subjects were included in the study in the Changde area in China,including 131 men and 551 women.There were no significant differences in age and BMI between male and female groups(P>0.05);there were statistical differences in weight,height,lumbar spine BMD,T/Z value,and prevalence of osteoporosis(P<0.05).The female group was lower in height,weight,bone density and T value than the male group,and the prevalence of osteoporosis in the female group was significantly higher than that in the male group.In univariate analysis,age,weight,BMI are correlated with T/Z value and lumbar spine BMD,and compared with men,women’s T/Z value and lumbar spine BMD are lower than men.In multiple linear regression analysis,after adjusting the covariates,BMI and bone mineral density are still positively correlated.Conclusion: 1、Among the western population,Total Percent Fat(TOPF)is linearly negatively correlated with lumbar spine BMD,and this relationship does not differ by age,gender or race.In the relationship between obesity indicators and lumbar spine BMD,WHR is closer to TOPF than BMI,WHt R,and BAI.After adjusting the positive effect of lean body mass,WHt R,BAI and lumbar spine BMD were linearly negatively correlated.BMI is only positively correlated with lumbar spine BMD in people with low BMI.2、Among the population in Changde,BMI is positively correlated with lumbar spine BMD. |