当前位置: 首页 > 详情页

[Optimum body fat percentage cut-off in evaluation of overweight and obesity among adult people].

| 认领 | 导出 |

文献详情

资源类型:

收录情况: ◇ 统计源期刊 ◇ 北大核心 ◇ CSCD-C

机构: [1]Donghuayuan Research & Design Center, Beijing 102200, China. [2]Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China. [3]Beijing Tiantan Community Service Center, Beijing 100050, China.
出处:
ISSN:

摘要:
To discuss the optimum cut-off of body fat percentage among Chinese adult people according to current BMI cut-off, and compare with WHO standard of body fat percentage. A cross-sectional survey included plenty of hospitals throughout the country from September to December 2017, a total of 46618 residents' body composition data. BMI and BF% were measured by biological impedance analysis, took BMI established by WGOC as reference standard, and ROC curve analysis was used to determine the optimum BF% cut-off. Comparison between optimum cut-off and WHO standard was made by relevance rate, sensitivity, specificity and kappa index. Partial correlation, curve estimation and regression model were used to discuss the relationship between BMI and BF%. The average BMI and BF% was(24. 07±3. 16) and(21. 57±9. 16)% in males, and(23. 76±3. 38) and(27. 65±9. 94)% in females. The optimum BF% cut-off to evaluate obesity were 27. 4% in males, and 34. 3% in females. Compared with WHO standard, the optimum BF% cut-off above had a lower relevance rate and sensitivity, and a higher specificity and consistency. There was a statistical difference between BMI and BF% method when diagnosing obesity(P<0. 05). The partial correlation index r=0. 637, and curvilinear model was much suitable than linear model. Compared with BMI, BF% had poor accuracy and consistency to predict obesity. BMI method may cause more people to escape diagnosis, especially in aging males.

语种:
PubmedID:
第一作者:
第一作者机构: [1]Donghuayuan Research &amp; Design Center, Beijing 102200, China.
推荐引用方式(GB/T 7714):

资源点击量:16461 今日访问量:0 总访问量:871 更新日期:2025-01-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 首都医科大学宣武医院 技术支持:重庆聚合科技有限公司 地址:北京市西城区长椿街45号宣武医院