• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

在健康印度人群中,双能X线吸收法(DEXA)得出的体脂测量结果与两个针对特定种族的生物电阻抗方程的比较。

Comparison of DEXA-derived body fat measurement to two race-specific bioelectrical impedance equations in healthy Indians.

作者信息

Nigam Priyanka, Misra Anoop, Colles Susan L

机构信息

Diabetes Foundation India, SDA, New Delhi 110016, India.

出版信息

Diabetes Metab Syndr. 2013 Apr-Jun;7(2):72-7. doi: 10.1016/j.dsx.2013.02.031. Epub 2013 Mar 14.

DOI:10.1016/j.dsx.2013.02.031
PMID:23680244
Abstract

AIM

Prevalence of obesity is increasing in Asian Indians. Reliable, precise and convenient methods to estimate body composition are required. This study aimed to test the accuracy of bioelectrical impedance analysis (BIA) estimates of body composition among Asian Indians according to two BIA equations--one developed for Asians, the other for Caucasians.

METHODS

Two hundred apparently healthy Asian Indians (100 males, 100 females; mean age 36.6 ± 7.6 years; mean BMI 16.6-46.7 kg/m(2)) underwent BIA assessment of fat mass (FM), fat free mass (FFM) and percentage body fat (%BF) using Tanita Multi-Frequency Body Composition Analyzer MC-180MA (Tanita Corporation, Tokyo, Japan). One set of BIA values was automatically calculated by the analyzer (Caucasian figures), the other set by Tanita (Japanese Asian figures). Results were compared to dual X-ray absorptiometry (DEXA) as the standard measure.

RESULTS

A moderate level of relative agreement was found between the DEXA-derived measurement of %BF and the estimate from both the Caucasian (r(2)=0.75; p<0.001) and Asian equation (r(2)=0.7; p<0.001). Despite this, the level of absolute agreement was poor, with large bias and wide limits of agreement. According to the Caucasian equation the mean difference between methods was -8.3 ± 3.9 (95% limits of agreement -20.10 to 9.40), for the Asian equations mean difference was -5.4 ± 4.3 (95% limits of agreement -20.63 to 11.41).

INTERPRETATION AND CONCLUSIONS

When compared to DEXA, the current Asian and Caucasian Tanita formulae significantly under-estimate the %BF of Asian Indians.

摘要

目的

亚洲印度人的肥胖患病率正在上升。需要可靠、精确且便捷的方法来估计身体成分。本研究旨在根据两个生物电阻抗分析(BIA)方程——一个是为亚洲人开发的,另一个是为高加索人开发的,来测试BIA对亚洲印度人身体成分估计的准确性。

方法

200名表面健康的亚洲印度人(100名男性,100名女性;平均年龄36.6±7.6岁;平均BMI 16.6 - 46.7kg/m²)使用日本东京Tanita公司的MC - 180MA多频身体成分分析仪接受了BIA对脂肪量(FM)、去脂体重(FFM)和体脂百分比(%BF)的评估。分析仪自动计算出一组BIA值(高加索人数据),另一组由Tanita计算(日本亚洲人数据)。结果与作为标准测量方法的双能X线吸收法(DEXA)进行比较。

结果

在DEXA得出的%BF测量值与来自高加索人方程(r² = 0.75;p < 0.001)和亚洲人方程(r² = 0.7;p < 0.001)的估计值之间发现了中等程度的相对一致性。尽管如此,绝对一致性水平较差,偏差较大且一致性界限较宽。根据高加索人方程两方法之间的平均差异为 - 8.3±3.9(95%一致性界限 - 20.10至9.40),对于亚洲人方程平均差异为 - 5.4±4.3(95%一致性界限 - 20.63至11.41)。

解读与结论

与DEXA相比,当前的亚洲人和高加索人Tanita公式显著低估了亚洲印度人的%BF。

相似文献

1
Comparison of DEXA-derived body fat measurement to two race-specific bioelectrical impedance equations in healthy Indians.在健康印度人群中,双能X线吸收法(DEXA)得出的体脂测量结果与两个针对特定种族的生物电阻抗方程的比较。
Diabetes Metab Syndr. 2013 Apr-Jun;7(2):72-7. doi: 10.1016/j.dsx.2013.02.031. Epub 2013 Mar 14.
2
Comparison of three bioelectrical impedance methods with DXA in overweight and obese men.超重和肥胖男性中三种生物电阻抗方法与双能X线吸收法的比较
Obesity (Silver Spring). 2006 Nov;14(11):2064-70. doi: 10.1038/oby.2006.241.
3
Good agreement between bioelectrical impedance and dual-energy X-ray absorptiometry for estimating changes in body composition during weight loss in overweight young women.生物电阻抗法与双能X线吸收法在评估超重年轻女性体重减轻期间身体成分变化方面具有良好的一致性。
Clin Nutr. 2007 Dec;26(6):771-7. doi: 10.1016/j.clnu.2007.08.003. Epub 2007 Oct 23.
4
Criterion Validity and Sensitivity to Change of a Pediatric Bioelectrical Impedance Analysis Scale in Adolescents.青少年儿童生物电阻抗分析量表的效标效度及对变化的敏感性
Child Obes. 2019 Feb/Mar;15(2):142-148. doi: 10.1089/chi.2018.0183. Epub 2018 Oct 23.
5
Comparison of body composition with bioelectric impedance (BIA) and dual energy X-ray absorptiometry (DEXA) among Singapore Chinese.新加坡华人身体成分的生物电阻抗(BIA)与双能 X 射线吸收法(DEXA)比较。
J Sci Med Sport. 2011 Jan;14(1):33-5. doi: 10.1016/j.jsams.2010.04.005. Epub 2010 Jul 8.
6
Bioelectrical impedance analysis to estimate body composition, and change in adiposity, in overweight and obese adolescents: comparison with dual-energy x-ray absorptiometry.生物电阻抗分析用于评估超重和肥胖青少年的身体成分及肥胖程度变化:与双能X线吸收法的比较
BMC Pediatr. 2014 Oct 3;14:249. doi: 10.1186/1471-2431-14-249.
7
Validation of ultrasound techniques applied to body fat measurement. A comparison between ultrasound techniques, air displacement plethysmography and bioelectrical impedance vs. dual-energy X-ray absorptiometry.应用于身体脂肪测量的超声技术的验证。超声技术、空气置换体积描记法和生物电阻抗与双能X线吸收法的比较。
Ann Nutr Metab. 2007;51(5):421-7. doi: 10.1159/000111161. Epub 2007 Nov 20.
8
Agreement of skinfold measurement and bioelectrical impedance analysis (BIA) methods with dual energy X-ray absorptiometry (DEXA) in estimating total body fat in Anglo-Celtic Australians.在估计英裔凯尔特澳大利亚人的全身脂肪方面,皮褶测量法和生物电阻抗分析法(BIA)与双能X线吸收法(DEXA)的一致性。
Int J Obes Relat Metab Disord. 1998 Sep;22(9):854-60. doi: 10.1038/sj.ijo.0800672.
9
Comparison of two bioelectrical impedance devices and dual-energy X-ray absorptiometry to evaluate body composition in heart failure.比较两种生物电阻抗设备与双能X线吸收法评估心力衰竭患者的身体成分
J Hum Nutr Diet. 2014 Dec;27(6):632-8. doi: 10.1111/jhn.12218. Epub 2014 Mar 29.
10
Body fat assessment in youth with overweight or obesity by an automated bioelectrical impedance analysis device, in comparison with the dual-energy x-ray absorptiometry: a cross sectional study.利用自动化生物电阻抗分析设备评估超重或肥胖青少年的体脂,与双能 X 射线吸收法比较:一项横断面研究。
BMC Endocr Disord. 2022 Aug 2;22(1):195. doi: 10.1186/s12902-022-01111-6.

引用本文的文献

1
Machine learning-based equations for improved body composition estimation in Indian adults.基于机器学习的方程用于改进印度成年人身体成分估计
PLOS Digit Health. 2025 Jun 23;4(6):e0000671. doi: 10.1371/journal.pdig.0000671. eCollection 2025 Jun.
2
Comparison of Bioelectrical Impedance Analyser (BIA) with Dual-Energy X-ray Absorptiometry (DXA) Scan in Assessing the Body Composition of Adult Individuals with Type 2 Diabetes Mellitus.生物电阻抗分析仪(BIA)与双能X线吸收法(DXA)扫描在评估2型糖尿病成年个体身体成分中的比较
Indian J Endocrinol Metab. 2024 Sep-Oct;28(5):510-516. doi: 10.4103/ijem.ijem_350_23. Epub 2024 Jun 6.
3
The bioelectrical impedance analysis (BIA) international database: aims, scope, and call for data.
生物电阻抗分析(BIA)国际数据库:目标、范围和数据征集。
Eur J Clin Nutr. 2023 Dec;77(12):1143-1150. doi: 10.1038/s41430-023-01310-x. Epub 2023 Aug 2.
4
Validity of Body-Composition Methods across Racial and Ethnic Populations.体质成分测定方法在不同种族和民族人群中的适用性。
Adv Nutr. 2021 Oct 1;12(5):1854-1862. doi: 10.1093/advances/nmab016.
5
Excess serum uric acid is associated with metabolic syndrome in obese adolescent patients.血清尿酸过多与肥胖青少年患者的代谢综合征有关。
J Diabetes Metab Disord. 2020 May 16;19(1):535-543. doi: 10.1007/s40200-020-00507-2. eCollection 2020 Jun.
6
Developing an Impedance Based Equation for Fat-Free Mass of Black Preadolescent South African Children.建立南非黑人青少年去脂体重的阻抗方程。
Nutrients. 2019 Aug 28;11(9):2021. doi: 10.3390/nu11092021.
7
Diabetes in the Kokan region of India.印度科坎地区的糖尿病。
World J Diabetes. 2019 Jan 15;10(1):37-46. doi: 10.4239/wjd.v10.i1.37.
8
Anthropometric Indicators of Adiposity Related to Body Weight and Body Shape as Cardiometabolic Risk Predictors in British Young Adults: Superiority of Waist-to-Height Ratio.作为英国年轻成人心血管代谢风险预测指标的与体重和体型相关的肥胖人体测量指标:腰高比的优越性
J Obes. 2018 Nov 1;2018:8370304. doi: 10.1155/2018/8370304. eCollection 2018.
9
Comparisons of predictive values of sarcopenia with different muscle mass indices in Korean rural older adults: a longitudinal analysis of the Aging Study of PyeongChang Rural Area.不同肌肉质量指数对韩国农村老年人肌少症预测价值的比较:平昌农村地区老龄化研究的纵向分析。
Clin Interv Aging. 2018 Jan 12;13:91-99. doi: 10.2147/CIA.S155619. eCollection 2018.
10
Energy Cost of Standing in a Multi-Ethnic Cohort: Are Energy-Savers a Minority or the Majority?多民族队列中站立的能量消耗:节能者是少数还是多数?
PLoS One. 2017 Jan 5;12(1):e0169478. doi: 10.1371/journal.pone.0169478. eCollection 2017.