Body composition analysis of different age and genders population in a community in Hangzhou
Abstract:Objective:To understand the status quo and existing problems of body composition distribution in community population in Hangzhou and to provide theoretical references for prevention and control of obesity and other potential diseases in community residents.Methods:A body composition analyzer was used to test body composition of volunteers in a community in Hangzhou from April 2016 to June and the results were ana lyzed.Results:A total of 286 community residents took part in the test,including 100 men and 186 women,the male BMI(24.62±2.50)kg/m2 in the middle-age group which had reachedthe overweight level,the BMI of the middle-aged and elderly women was(23.66±3.15)kg/m2 and(23.14±2.86)kg/m2,which were close to the overweight level.Overweight and obese men accounted for 39.0%,overweight and obese women accounted for 31.7%,overweight and obesity detection rate of men were higher than those of women.The differences of body water,protein,muscle mass,body fat,bone mass and body mass index among different age groups of residents were statistically significant(P<0.05).The differences of body water,protein,muscle mass,bone mass,body fat rate,body mass index,waist hip ratio and health score between different genders of residents were sta tistically significant(P<0.05).A regression model was established based on gender,age,weight,body fat content,bone mass,body fat rate,body mass index and visceral fat to explain 62.9% of the total variation in residents' health score.Conclusions:Bioelectrical impedance analysis could be used to measure various tissue components in human body,overweight and obesity rate in men were higher than that of women.It suggested that residents must pay attention to balance nutrition diet,regular physical exercise,maintain normal body mass index and prevent obesity and other related diseases.
Keywords:community populationbioelectrical impedance analysisbody compositionbody mass indexdisease prevention
Publication Date:2017-01-01
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:4( 3812-3815 )
Chinese Nursing Research

Chinese Nursing Research

PKUISTIC
ISSN:1009-6493
Year, Vol.(Issue):2017,31(30)