• 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

身体成分、双能X线吸收测定法与肥胖:脂肪(再)分布范例

Body composition, dual-energy X-ray absorptiometry and obesity: the paradigm of fat (re)distribution.

作者信息

Ponti Federico, Plazzi Andrea, Guglielmi Giuseppe, Marchesini Giulio, Bazzocchi Alberto

机构信息

Diagnostic and Interventional Radiology, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.

Unit of Metabolic Diseases & Clinical Dietetics, University of Bologna. Sant'Orsola - Malpighi Hospital, Via G. Massarenti 9, Bologna, Italy.

出版信息

BJR Case Rep. 2019 Mar 14;5(3):20170078. doi: 10.1259/bjrcr.20170078. eCollection 2019 Sep.

DOI:10.1259/bjrcr.20170078
PMID:31555464
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6750624/
Abstract

OBJECTIVE

The amount of lean and fat tissues in different body compartments is likely to drive the cardiovascular risk. The longitudinal effects of changes of lean and fat mass, particularly following weight loss programs, cannot be reliably identified by the sole measurement of anthropometry. We discuss this problem on the basis of data collected in obese females with the use of dual-energy X-ray absorptiometry (DXA), anthropometry and laboratory.

METHODS

We present longitudinal data in six obese females (three pairs-weight stable, weight loss, weight increase) assigned to a medical treatment. All patients underwent whole-body scan (Lunar iDXA, GE Healthcare, WI) and laboratory analysis (blood fasting glucose, total low-density lipoprotein and high-density lipoprotein cholesterol, triglycerides) before treatment and after 12 months. Fat mass and non-bone lean mass were assessed at whole-body and regional levels. Android visceral adipose tissue was estimated by a recently validated software.

RESULTS

The most common anthropometric measures (body mass index, waist circumference) were totally ineffective in documenting the changes in body composition in 12 month follow-up, whereas DXA could detect regional changes, which were paralleled in part by changes in biochemical indices.

CONCLUSION

Serial DXA measurements could provide a comprehensive assessment of body compartments, independent of changes in classic anthropometry (body mass index and waist circumference), identifying a significant redistribution of lean and fat mass and providing clues to explain changes in cardiovascular risk profile.

摘要

目的

不同身体部位的瘦组织和脂肪组织数量可能会影响心血管风险。仅通过人体测量法无法可靠地确定瘦体重和脂肪量变化的纵向影响,尤其是在减肥计划之后。我们基于使用双能X线吸收法(DXA)、人体测量法和实验室检测收集的肥胖女性数据来讨论这个问题。

方法

我们展示了六名接受医学治疗的肥胖女性(三对——体重稳定、体重减轻、体重增加)的纵向数据。所有患者在治疗前和12个月后均接受了全身扫描(Lunar iDXA,GE医疗保健公司,威斯康星州)和实验室分析(空腹血糖、总低密度脂蛋白和高密度脂蛋白胆固醇、甘油三酯)。在全身和区域水平评估脂肪量和非骨瘦体重。通过最近验证的软件估计腹部内脏脂肪组织。

结果

在12个月的随访中,最常用的人体测量指标(体重指数、腰围)在记录身体成分变化方面完全无效,而DXA可以检测到区域变化,部分变化与生化指标的变化平行。

结论

连续的DXA测量可以提供对身体各部位的全面评估,独立于经典人体测量指标(体重指数和腰围)的变化,识别瘦体重和脂肪量的显著重新分布,并为解释心血管风险状况的变化提供线索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f388/6750624/d77576048eb3/bjrcr.20170078.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f388/6750624/d77576048eb3/bjrcr.20170078.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f388/6750624/d77576048eb3/bjrcr.20170078.g001.jpg

相似文献

1
Body composition, dual-energy X-ray absorptiometry and obesity: the paradigm of fat (re)distribution.身体成分、双能X线吸收测定法与肥胖:脂肪(再)分布范例
BJR Case Rep. 2019 Mar 14;5(3):20170078. doi: 10.1259/bjrcr.20170078. eCollection 2019 Sep.
2
Correlation between DXA and laboratory parameters in normal weight, overweight, and obese patients.正常体重、超重和肥胖患者的 DXA 与实验室参数的相关性。
Nutrition. 2019 May;61:143-150. doi: 10.1016/j.nut.2018.10.023. Epub 2018 Oct 24.
3
An Investigation Into the Differences in Bone Density and Body Composition Measurements Between 2 GE Lunar Densitometers and Their Comparison to a 4-Component Model.两种通用电气骨密度仪之间骨密度和身体成分测量差异的调查及其与四成分模型的比较。
J Clin Densitom. 2017 Oct-Dec;20(4):498-506. doi: 10.1016/j.jocd.2017.06.029. Epub 2017 Jul 27.
4
Upper and lower limbs composition: a comparison between anthropometry and dual-energy X-ray absorptiometry in healthy people.上肢和下肢组成:健康人群人体测量学与双能X线吸收法的比较
Arch Osteoporos. 2017 Sep 18;12(1):78. doi: 10.1007/s11657-017-0374-8.
5
DXA-assessed changes in body composition in obese women following two different weight loss programs.两种不同减肥方案对肥胖女性身体成分的 DXA 评估变化。
Nutrition. 2018 Feb;46:13-19. doi: 10.1016/j.nut.2017.07.016. Epub 2017 Aug 3.
6
Comparison of a Bioelectrical Impedance Device against the Reference Method Dual Energy X-Ray Absorptiometry and Anthropometry for the Evaluation of Body Composition in Adults.生物电阻抗设备与双能 X 射线吸收法和人体测量法评估成人身体成分的比较。
Nutrients. 2018 Oct 10;10(10):1469. doi: 10.3390/nu10101469.
7
Relationships between total and regional adiposity and epicardial fat in obese women: how can dual-energy X-ray absorptiometry be associated with echocardiographic epicardial fat measurements?肥胖女性总体和局部肥胖与心外膜脂肪的关系:双能X线吸收法如何与超声心动图测量的心外膜脂肪相关联?
Clin Obes. 2013 Oct;3(5):132-40. doi: 10.1111/cob.12027. Epub 2013 Aug 19.
8
DXA Measured Visceral Adipose Tissue, Total Fat, Anthropometric Indices and its Association With Cardiometabolic Risk Factors in Mother-Daughter Pairs From India.双能X线吸收法测量印度母女对的内脏脂肪组织、总脂肪、人体测量指标及其与心血管代谢危险因素的关联。
J Clin Densitom. 2021 Jan-Mar;24(1):146-155. doi: 10.1016/j.jocd.2020.06.001. Epub 2020 Jun 12.
9
Development and validation of anthropometric prediction equations for lean body mass, fat mass and percent fat in adults using the National Health and Nutrition Examination Survey (NHANES) 1999-2006.利用1999 - 2006年美国国家健康与营养检查调查(NHANES)开发并验证成年人瘦体重、脂肪量和体脂百分比的人体测量预测方程。
Br J Nutr. 2017 Nov;118(10):858-866. doi: 10.1017/S0007114517002665. Epub 2017 Nov 7.
10
Precision of Lunar Dual-energy X-ray Absorptiometry (iDXA) in measuring body composition among colorectal cancer patients and healthy subjects.月球双能 X 射线吸收法(iDXA)测量结直肠癌患者和健康受试者身体成分的精度。
Clin Nutr ESPEN. 2021 Aug;44:316-323. doi: 10.1016/j.clnesp.2021.05.025. Epub 2021 Jun 6.

引用本文的文献

1
Novel Strategies to Conquer Residual Adiposity Risk in Cardiovascular Disease.攻克心血管疾病中残余肥胖风险的新策略
Curr Atheroscler Rep. 2025 Sep 10;27(1):90. doi: 10.1007/s11883-025-01331-w.
2
Mapping the Fat: How Childhood Obesity and Body Composition Shape Obstructive Sleep Apnoea.脂肪分布剖析:儿童肥胖与身体成分如何影响阻塞性睡眠呼吸暂停
Children (Basel). 2025 Jul 10;12(7):912. doi: 10.3390/children12070912.
3
Childhood Obesity: A Narrative Review.儿童肥胖症:一篇叙述性综述。

本文引用的文献

1
DXA-assessed changes in body composition in obese women following two different weight loss programs.两种不同减肥方案对肥胖女性身体成分的 DXA 评估变化。
Nutrition. 2018 Feb;46:13-19. doi: 10.1016/j.nut.2017.07.016. Epub 2017 Aug 3.
2
The role of DXA in sarcopenia.双能X线吸收法在肌肉减少症中的作用。
Aging Clin Exp Res. 2016 Dec;28(6):1047-1060. doi: 10.1007/s40520-016-0589-3. Epub 2016 Jun 2.
3
DXA: Technical aspects and application.双能X线吸收测定法:技术方面与应用
Cureus. 2025 Apr 14;17(4):e82233. doi: 10.7759/cureus.82233. eCollection 2025 Apr.
4
Assessing Fat Grafting in Breast Surgery: A Narrative Review of Evaluation Techniques.评估乳腺手术中的脂肪移植:评估技术的叙述性综述
J Clin Med. 2024 Nov 27;13(23):7209. doi: 10.3390/jcm13237209.
5
Difference in Body Composition Patterns between Age Groups in Italian Individuals with Overweight and Obesity: When BMI Becomes a Misleading Tool in Nutritional Settings.意大利超重和肥胖人群中不同年龄组的身体成分模式差异:当 BMI 在营养环境中成为误导性工具时。
Nutrients. 2024 Jul 25;16(15):2415. doi: 10.3390/nu16152415.
6
The Effect of the BEPC22 and BELP53 Combination (BN-202M) on Body Fat Percentage Loss in Overweight Individuals: A Randomized, Double-Blind, Placebo-Controlled Study.BEPC22 和 BELP53 联合(BN-202M)对超重个体体脂百分比损失的影响:一项随机、双盲、安慰剂对照研究。
Nutrients. 2024 Jun 23;16(13):1993. doi: 10.3390/nu16131993.
7
Comparative effectiveness of glucagon-like peptide-1 receptor agonists on body composition and anthropometric indices: A protocol for a systematic review and network meta-analysis of randomized controlled trials.胰高血糖素样肽-1 受体激动剂对人体成分和人体测量学指标的影响比较:一项系统评价和网络荟萃分析的随机对照试验方案。
PLoS One. 2024 Feb 26;19(2):e0297488. doi: 10.1371/journal.pone.0297488. eCollection 2024.
8
Advances in Understanding the Interplay between Dietary Practices, Body Composition, and Sports Performance in Athletes.了解运动员饮食实践、身体成分和运动表现之间相互作用的进展。
Nutrients. 2024 Feb 19;16(4):571. doi: 10.3390/nu16040571.
9
Body Composition in Anti-Obesity Medication Trials-Beyond Scales.抗肥胖药物试验中的身体成分——超越体重秤测量
JAMA Intern Med. 2024 Apr 1;184(4):341-342. doi: 10.1001/jamainternmed.2023.7733.
10
Assessment of obesity.肥胖评估。
Clin Med (Lond). 2023 Jul;23(4):299-303. doi: 10.7861/clinmed.2023-0148.
Eur J Radiol. 2016 Aug;85(8):1481-92. doi: 10.1016/j.ejrad.2016.04.004. Epub 2016 Apr 14.
4
Visceral fat and body composition changes in a female population after RYGBP: a two-year follow-up by DXA.女性群体接受胃旁路术后内脏脂肪及身体成分变化:双能X线吸收法两年随访研究
Obes Surg. 2015 Mar;25(3):443-51. doi: 10.1007/s11695-014-1422-8.
5
Sarcopenia and sarcopenic obesity among men aged 80 years and older in Beijing: prevalence and its association with functional performance.北京80岁及以上男性的肌肉减少症和肌肉减少性肥胖:患病率及其与功能表现的关联
Geriatr Gerontol Int. 2014 Feb;14 Suppl 1:29-35. doi: 10.1111/ggi.12211.
6
Ectopic fat and cardiometabolic and vascular risk.异位脂肪与心脏代谢和血管风险。
Int J Cardiol. 2013 Nov 5;169(3):166-76. doi: 10.1016/j.ijcard.2013.08.077. Epub 2013 Sep 7.
7
The clinical obesity maintenance model: an integration of psychological constructs including mood, emotional regulation, disordered overeating, habitual cluster behaviours, health literacy and cognitive function.临床肥胖维持模型:一种整合了包括情绪、情绪调节、暴饮暴食、习惯性集群行为、健康素养和认知功能等心理结构的模型。
J Obes. 2013;2013:240128. doi: 10.1155/2013/240128. Epub 2013 Feb 14.
8
Sarcopenic obesity and endocrinal adaptation with age.骨骼肌减少性肥胖与年龄相关的内分泌适应。
Int J Endocrinol. 2013;2013:204164. doi: 10.1155/2013/204164. Epub 2013 Apr 11.
9
It is time to define metabolically obese but normal-weight (MONW) individuals.是时候定义代谢性肥胖但体重正常(MONW)个体了。
Clin Endocrinol (Oxf). 2013 Sep;79(3):314-5. doi: 10.1111/cen.12181. Epub 2013 Apr 9.
10
Does body mass index adequately convey a patient's mortality risk?体重指数能否充分反映患者的死亡风险?
JAMA. 2013 Jan 2;309(1):87-8. doi: 10.1001/jama.2012.185445.