Association Between Body Composition And Metabolic Diseases Of The Elderly In Lu’an City

Objective:The aim of this study was to investigate the prevalence of diabetes mellitus,hypertension,dyslipidemia and Metabolic Syndrome(MS)among elderly people in Lu’an and to analyze the relevance between the elderly body composition and metabolic diseases.This study provided a control strategy for the prevention of metabolic diseases in the future.Methods:From June to September in 2016,we choosed elderly≥60 years old in two communities of Lu’an City.We contacted 1217 elderly by phone and surveyed 1080elderly.A questionnaire survey was conducted by qualified trained investigators.The questionnaires included general social demography(age,gender,region,educational level,etc.)and lifestyles such as physical activity and dietary habits.After that,the corresponding physical examinations were taken and the data of body mass index(BMI),percentage of body fat(PBF),waist-to-hip ratio(WHR)and waist-to-height Ratio(WHt R)were computed.Due to waist circumference measured in different standards three times there will be three WHR,WHtR.Using chi-square test,regression analysis to explore the relationship between elderly body composition and metabolic diseases.Results:The study included 1080 people,of whom 493 were men(45.6%).The survey subjects were elderly people over the age of 60 with an age range of 60-94 years and an average age of 71.86±6.49 years,of whom only 35 had higher education.Smoking population accounted for 19.4%of the total number of respondents.Drinking people accounted for 37.4%of the total number of respondents.386 people(35.7%)had a monthly income of more than 2000 yuan,and 808 people(74.8%)sleeped less than 8hours per night.Studies had shown that the prevalence rates of overweight/obesity,diabetes,hypertension,dyslipidemia and MS in the elderly population are 47.2%,38.1%,67.1%,48.7%and 28.4%,respectively.After adjustment for age,area,educational level,economic income,sleeping time,smoking status,drinking status,exercise status,eating habits and other confounding factors,for every 1 kg/m~2increase in BMI,for every 5%increase in PBF,WHR1,WHR2,WHR3,WHtR1,WHtR2 and WHtR3,these increases are positively correlated with the increase in the risk of hypertension and MS in the elderly population,especially with MS.In addition,an increase in BMI,PBF,WHR1,WHR2,WHR3,WHtR1,WHtR2,and WHtR3 in the male population were positively associated with increased risk of diabetes.Increased PBF,WHR1,WHR2,WHR3,WHtR1 and WHtR2 were positively associated with increased risk of the risk of dyslipidemia.Increased BMI,PBF,WHR2,WHR3,WHt R1,WHtR2,and WHtR3 in the elderly female population were positively associated with increased risk of diabetes.Only increased WHR1,WHR2,and WHR3 were positively associated with increased risk of dyslipidemia.The best indicators for the elderly to predict whether they have diabetes were WHR2 in males and WHR3 in females,with cut-off values of 0.88 and 0.84,respectively.The best indicators for the elderly to predict whether they have hypertension were WHR1 in males and WHtR3 in females,with cut-off values of 0.91 and 0.56,respectively.The best indicators for the elderly to predict whether they have dyslipidemia were WHR2 in males and WHR2 in females,with cut-off values of 0.94 and 0.87,respectively.The best indicators for the elderly to predict whether they have MS were BMI in males and BMI in females,with cut-off values of 24.98 kg/m~2and 25.94 kg/m~2,respectively.Conclusions:The prevalence of diabetes mellitus,hypertension,dyslipidemia and MS in this population is high.The increase of BMI,PBF,WHR(three types)and WHtR(three types)after adjusting for confounding factors such as age,area,educational attainment,economic income,sleeping time,smoking situation,drinking situation,exercise situation and eating habits was positively correlated with the increase of the risk of hypertension and MS in the elderly population,especially the correlation with MS.In addition,the increase in BMI,PBF,WHR(three types)and WHt R(three types)in the elderly male population was positively correlated with the increased risk of diabetes.Increases in PBF,WHR(three types),WHtR1,and WHtR2 were positively associated with increased risk of dyslipidemia.The increase of BMI,PBF,WHR2,WHR3,and WHtR in the elderly female population was positively correlated with the increase in the risk of diabetes.Only the increase of WHR(three types)was positively correlated with the increased risk of dyslipidemia.The best indicators for the elderly to predict whether they have diabetes were WHR2(male)and WHR3(female).The best indicators for the elderly to predict whether they have hypertension were WHR1(male)and WHtR3(female).Regardless of gender,the best indicators for the elderly to predict whether they have dyslipidemia were WHR2 and the best indicators for the elderly to predict whether they have MS were BMI.