• 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

世界卫生组织的体重指数系统对意大利北部普通人群中成年人的体重状况分类错误:一项基于双能X线吸收法的评估研究(18 - 98岁)

The WHO BMI System Misclassifies Weight Status in Adults from the General Population in North Italy: A DXA-Based Assessment Study (18-98 Years).

作者信息

Milanese Chiara, Itani Leila, Cavedon Valentina, El Ghoch Marwan

机构信息

Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37129 Verona, Italy.

Department of Nutrition and Dietetics, Faculty of Health Sciences, Beirut Arab University, Riad El Solh, Beirut P.O. Box 11-5020, Lebanon.

出版信息

Nutrients. 2025 Jun 29;17(13):2162. doi: 10.3390/nu17132162.

DOI:10.3390/nu17132162
PMID:40647267
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12252079/
Abstract

: The body mass index (BMI) is considered a key method for the classification of individuals' weight status, according to cut-off points proposed by the World Health Organization (WHO); however, the use of this classification is still the subject of debate and criticism. We aimed to evaluate the accuracy of the WHO BMI classification in reflecting true adiposity in the Italian general population. : This cross-sectional study included 1351 adults of mixed gender aged between 18 and 98 years, comprising 19 (1.4%) underweight individuals, 787 (58.3%) normal weight, 354 (26.2%) overweight, and 191 (14.1%) with obesity according to the WHO BMI. After that they were re-categorized according to adiposity based on body fat percentage (BF%) measured by dual-energy X-ray absorptiometry (DXA). The agreement between the two classification systems was tested using the kappa statistic (κ), with the system based on BF% being considered the gold standard. : According to the BMI classification, 78.1% of the individuals who were in the normal weight range were correctly classified. However, 53.4% of the overweight group and 68.4% of the underweight group were misclassified according to the BMI, as the majority of those misclassified fell within the normal weight range according to their BF%. Finally, regarding the obesity group, 34% who were classified as having obesity according to the BMI were misclassified, since they were revealed to be only affected by overweight according to adiposity status. : Despite the fact that the BMI seems to be reliable in determining body weight status in the normal weight range, over a third of the general population was misclassified, as the current BMI classification appears to inflate the prevalence of underweight, overweight, and obesity among the general population. Accordingly, this may warrant consideration of revising the National Guidelines in Italy related to weight status classification. Healthcare practitioners should be advised not to rely solely on the BMI, and should integrate its use with adiposity measures (i.e., BF%) or alternative surrogate indicators (i.e., waist-based) in routine evaluations, especially in those with a BMI below or above 18.5 kg/m or 25 kg/m.

摘要

根据世界卫生组织(WHO)提出的切点,体重指数(BMI)被视为对个体体重状况进行分类的关键方法;然而,这种分类方法的使用仍然存在争议和批评。我们旨在评估WHO的BMI分类在反映意大利普通人群真实肥胖程度方面的准确性。

这项横断面研究纳入了1351名年龄在18至98岁之间的成年男女,根据WHO的BMI标准,其中19人(1.4%)体重过轻,787人(58.3%)体重正常,354人(26.2%)超重,191人(14.1%)肥胖。之后,根据通过双能X线吸收法(DXA)测量的体脂百分比(BF%)对他们进行肥胖程度重新分类。使用kappa统计量(κ)检验两种分类系统之间的一致性,以基于BF%的系统作为金标准。

根据BMI分类,体重正常范围内的个体中有78.1%被正确分类。然而,根据BMI标准,超重组中有53.4%以及体重过轻组中有68.4%被错误分类,因为大多数被错误分类的人根据其BF%属于体重正常范围。最后,关于肥胖组,根据BMI被分类为肥胖的人中有34%被错误分类,因为根据肥胖状况显示他们仅受超重影响。

尽管BMI在确定体重正常范围内的体重状况时似乎是可靠的,但超过三分之一的普通人群被错误分类,因为目前的BMI分类似乎高估了普通人群中体重过轻、超重和肥胖的患病率。因此,这可能需要考虑修订意大利与体重状况分类相关的国家指南。应建议医疗从业者不要仅依赖BMI,并且在常规评估中应将其与肥胖程度测量(即BF%)或替代指标(即基于腰围的指标)结合使用,特别是对于BMI低于或高于18.5kg/m²或25kg/m²的人群。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a88/12252079/e8b368e772d7/nutrients-17-02162-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a88/12252079/a5afeab5a169/nutrients-17-02162-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a88/12252079/e8b368e772d7/nutrients-17-02162-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a88/12252079/a5afeab5a169/nutrients-17-02162-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a88/12252079/e8b368e772d7/nutrients-17-02162-g002.jpg

相似文献

1
The WHO BMI System Misclassifies Weight Status in Adults from the General Population in North Italy: A DXA-Based Assessment Study (18-98 Years).世界卫生组织的体重指数系统对意大利北部普通人群中成年人的体重状况分类错误:一项基于双能X线吸收法的评估研究(18 - 98岁)
Nutrients. 2025 Jun 29;17(13):2162. doi: 10.3390/nu17132162.
2
Gut microbiome-based interventions for the management of obesity in children and adolescents aged up to 19 years.基于肠道微生物群的干预措施用于管理19岁及以下儿童和青少年的肥胖问题。
Cochrane Database Syst Rev. 2025 Jul 10;7(7):CD015875. doi: 10.1002/14651858.CD015875.
3
Sexual Harassment and Prevention Training性骚扰与预防培训
4
Hormonal contraceptives for contraception in overweight or obese women.超重或肥胖女性避孕用激素避孕药
Cochrane Database Syst Rev. 2016 Aug 18;2016(8):CD008452. doi: 10.1002/14651858.CD008452.pub4.
5
Association Between Body Mass Index Changes and All-Cause Mortality in Parkinson's Disease.体重指数变化与帕金森病全因死亡率的关系。
J Parkinsons Dis. 2024;14(7):1441-1450. doi: 10.3233/JPD-240181.
6
[Volume and health outcomes: evidence from systematic reviews and from evaluation of Italian hospital data].[容量与健康结果:来自系统评价和意大利医院数据评估的证据]
Epidemiol Prev. 2013 Mar-Jun;37(2-3 Suppl 2):1-100.
7
Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity.移动健康(m-health)智能手机干预措施用于超重或肥胖的青少年和成年人。
Cochrane Database Syst Rev. 2024 Feb 20;2(2):CD013591. doi: 10.1002/14651858.CD013591.pub2.
8
Hormonal contraceptives for contraception in overweight or obese women.超重或肥胖女性避孕用激素避孕药。
Cochrane Database Syst Rev. 2013 Apr 30(4):CD008452. doi: 10.1002/14651858.CD008452.pub3.
9
Gestational weight gain below instead of within the guidelines per class of maternal obesity: a systematic review and meta-analysis of obstetrical and neonatal outcomes.按孕妇肥胖类别划分,孕期体重增加未达而非处于指南范围:产科和新生儿结局的系统评价与荟萃分析
Am J Obstet Gynecol MFM. 2022 Sep;4(5):100682. doi: 10.1016/j.ajogmf.2022.100682. Epub 2022 Jun 18.
10
Association between markers of female adiposity and live birth among patients undergoing fertility treatment or attempting unassisted conception.接受生育治疗或尝试自然受孕的患者中女性肥胖标志物与活产之间的关联。
Hum Reprod. 2025 Jul 2. doi: 10.1093/humrep/deaf124.

本文引用的文献

1
Which adiposity index is best? Comparison of five indicators and their ability to identify type 2 diabetes risk in a population study.哪种肥胖指数最佳?一项人群研究中五种指标的比较及其识别2型糖尿病风险的能力。
Diabetes Res Clin Pract. 2025 Jul;225:112268. doi: 10.1016/j.diabres.2025.112268. Epub 2025 May 20.
2
BMI or not to BMI? debating the value of body mass index as a measure of health in adults.是采用体重指数还是不采用?关于成人体重指数作为健康衡量指标的价值之争。
Int J Behav Nutr Phys Act. 2025 Feb 25;22(1):23. doi: 10.1186/s12966-025-01719-6.
3
Waist-to-Height Ratio Cut-Off Points for Central Obesity in Individuals with Overweight Across Different Ethnic Groups in NHANES 2011-2018.
2011-2018 年 NHANES 中不同族裔超重人群中心型肥胖的腰围身高比切点。
Nutrients. 2024 Nov 8;16(22):3838. doi: 10.3390/nu16223838.
4
Smartphone three-dimensional imaging for body composition assessment using non-rigid avatar reconstruction.使用非刚性虚拟人重建技术的智能手机三维成像用于身体成分评估
Front Med (Lausanne). 2024 Oct 7;11:1485450. doi: 10.3389/fmed.2024.1485450. eCollection 2024.
5
On understanding reliability for diagnostic tests.关于理解诊断试验的可靠性。
Interv Pain Med. 2022 Aug 15;1(Suppl 2):100124. doi: 10.1016/j.inpm.2022.100124. eCollection 2022.
6
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.
7
Advantages and Limitations of the Body Mass Index (BMI) to Assess Adult Obesity.体重指数 (BMI) 评估成人肥胖的优缺点。
Int J Environ Res Public Health. 2024 Jun 10;21(6):757. doi: 10.3390/ijerph21060757.
8
Defining Overweight and Obesity by Percent Body Fat Instead of Body Mass Index.通过体脂百分比而非体重指数来定义超重和肥胖。
J Clin Endocrinol Metab. 2025 Mar 17;110(4):e1103-e1107. doi: 10.1210/clinem/dgae341.
9
Effect of changes in sleeping behavior on skeletal muscle and fat mass: a retrospective cohort study.睡眠行为改变对骨骼肌和脂肪量的影响:一项回顾性队列研究。
BMC Public Health. 2023 Sep 28;23(1):1879. doi: 10.1186/s12889-023-16765-7.
10
The paradox of obesity with normal weight; a cross-sectional study.体重正常的肥胖悖论:一项横断面研究。
Front Nutr. 2023 Jun 9;10:1173488. doi: 10.3389/fnut.2023.1173488. eCollection 2023.