• 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

检测老年人体重过轻状况的适宜体重指数阈值:意大利纵向衰老研究(ILSA)

An adequate threshold for body mass index to detect underweight condition in elderly persons: the Italian Longitudinal Study on Aging (ILSA).

作者信息

Sergi Giuseppe, Perissinotto Egle, Pisent Claudia, Buja Alessandra, Maggi Stefania, Coin Alessandra, Grigoletto Francesco, Enzi Giuliano

机构信息

Department of Medical and Surgical Sciences, Division of Geriatrics, University of Padua, Italy.

出版信息

J Gerontol A Biol Sci Med Sci. 2005 Jul;60(7):866-71. doi: 10.1093/gerona/60.7.866.

DOI:10.1093/gerona/60.7.866
PMID:16079209
Abstract

BACKGROUND

The present study aims at defining a body mass index (BMI) threshold for risk of being underweight in elderly persons on the basis of the BMI distribution in a large Italian population-based sample and on its ability to predict short-term mortality.

METHODS

At baseline (1992), BMI was obtained for 3110 (1663 males and 1447 females) persons aged 65-84 participating in the Italian Longitudinal Study on Aging (ILSA). BMI and risk factors (age, sex, education, smoking status, disability, and disease status) have been considered for their potential association with 4-year all-cause mortality. Information on vital status at 1995 was obtained for 2551 participants.

RESULTS

The fifth centile of BMI was well approximated by a value of 20 for both sexes. Also in both sexes, at a BMI value of 24 the a posteriori probability of death started to increase, doubling at a value of 22 for men and 20 for women. Crude mortality was 14.6% for men and 9.8% for women. The hazard ratios and confidence intervals (CIs) comparing mortality for each BMI two-unit class to the 26-28 class, after adjusting for confounding variables, showed significantly higher rates only for BMI values below 20 (2.9; 95% CI, 1.2-7.0), although a consistent increase in hazard ratio (1.6; 95% CI, 0.9-3.0) already appeared for the 20-22 BMI group.

CONCLUSIONS

Our study confirms that low BMI is an independent predictive factor of short-term mortality in elderly persons. A BMI value of 20 kg/m2 seems to be a reliable threshold for defining underweight elderly persons at high risk. Nevertheless, more careful clinical and nutritional management should also be applied to elderly persons with higher BMI values.

摘要

背景

本研究旨在根据意大利一个大型基于人群的样本中的体重指数(BMI)分布及其预测短期死亡率的能力,确定老年人体重过轻风险的BMI阈值。

方法

在基线期(1992年),对参与意大利衰老纵向研究(ILSA)的3110名65 - 84岁的人群(1663名男性和1447名女性)测量了BMI。考虑了BMI及风险因素(年龄、性别、教育程度、吸烟状况、残疾和疾病状况)与4年全因死亡率的潜在关联。获得了2551名参与者1995年的生命状态信息。

结果

两性的BMI第五百分位数均很好地近似于20。同样在两性中,BMI值为24时死亡的后验概率开始增加,男性在BMI值为22、女性在BMI值为20时死亡概率翻倍。男性的粗死亡率为14.6%,女性为9.8%。在调整混杂变量后,将每个BMI两个单位类别与26 - 28类别进行死亡率比较时,危险比和置信区间(CI)显示仅BMI值低于20时死亡率显著更高(2.9;95% CI,1.2 - 7.0),尽管BMI为20 - 22组的危险比已经持续增加(1.6;95% CI,0.9 - 3.0)。

结论

我们的研究证实低BMI是老年人短期死亡率的独立预测因素。BMI值20 kg/m²似乎是定义高危体重过轻老年人的可靠阈值。然而,对于BMI值较高的老年人也应进行更仔细的临床和营养管理。

相似文献

1
An adequate threshold for body mass index to detect underweight condition in elderly persons: the Italian Longitudinal Study on Aging (ILSA).检测老年人体重过轻状况的适宜体重指数阈值:意大利纵向衰老研究(ILSA)
J Gerontol A Biol Sci Med Sci. 2005 Jul;60(7):866-71. doi: 10.1093/gerona/60.7.866.
2
Underweight, Markers of Cachexia, and Mortality in Acute Myocardial Infarction: A Prospective Cohort Study of Elderly Medicare Beneficiaries.体重过轻、恶病质标志物与急性心肌梗死患者的死亡率:老年医疗保险受益人的前瞻性队列研究
PLoS Med. 2016 Apr 19;13(4):e1001998. doi: 10.1371/journal.pmed.1001998. eCollection 2016 Apr.
3
Sex-specific associations between adolescent categories of BMI with cardiovascular and non-cardiovascular mortality in midlife.青少年时期 BMI 类别与中年心血管和非心血管死亡率的性别特异性关联。
Cardiovasc Diabetol. 2018 Jun 5;17(1):80. doi: 10.1186/s12933-018-0727-7.
4
Age-dependent relationships between body mass index and mortality: Singapore longitudinal ageing study.体重指数与死亡率之间的年龄依赖性关系:新加坡纵向老龄化研究。
PLoS One. 2017 Jul 24;12(7):e0180818. doi: 10.1371/journal.pone.0180818. eCollection 2017.
5
Obesity can benefit survival-a 9-year prospective study in 1614 Chinese nursing home residents.肥胖可获益于生存:1614 名中国养老院居民 9 年的前瞻性研究。
J Am Med Dir Assoc. 2014 May;15(5):342-8. doi: 10.1016/j.jamda.2013.12.081. Epub 2014 Feb 16.
6
Ischemic Stroke Mortality Is More Strongly Associated with Anemia on Admission Than with Underweight Status.缺血性卒中死亡率与入院时贫血的关联比与体重不足状态的关联更强。
J Stroke Cerebrovasc Dis. 2017 Jun;26(6):1369-1374. doi: 10.1016/j.jstrokecerebrovasdis.2017.02.016. Epub 2017 Feb 28.
7
Body mass index, disability, and 13-year mortality in older French adults.体质指数、残疾与法国老年成年人 13 年死亡率。
J Aging Health. 2010 Feb;22(1):68-83. doi: 10.1177/0898264309349422. Epub 2009 Nov 17.
8
Predictive Value of Underweight Status for Patients With Peripheral Artery Disease With Claudication.体重过轻状态对间歇性跛行外周动脉疾病患者的预测价值。
Angiology. 2018 Jul;69(6):513-522. doi: 10.1177/0003319717736627. Epub 2017 Oct 31.
9
The association between BMI value and long-term mortality.BMI 值与长期死亡率之间的关联。
Int J Obes (Lond). 2009 May;33(5):577-82. doi: 10.1038/ijo.2009.36. Epub 2009 Feb 24.
10
Frailty and body mass index as predictors of 3-year mortality in older adults living in the community.衰弱和体重指数作为社区老年人群3年死亡率的预测因素
Gerontology. 2014;60(6):475-82. doi: 10.1159/000362330. Epub 2014 Jul 1.

引用本文的文献

1
Associations Between Mid- to Late-Life Body Mass Index and Chronic Disease-Free Survival: A Nationwide Twin Study.中年至晚年体重指数与无慢性病生存时间的关联:一项全国性双胞胎研究。
J Gerontol A Biol Sci Med Sci. 2024 Jan 1;79(1). doi: 10.1093/gerona/glad111.
2
Association Between Late-Life Weight Change and Dementia: A Population-based Cohort Study.晚年体重变化与痴呆症的关系:基于人群的队列研究。
J Gerontol A Biol Sci Med Sci. 2023 Jan 26;78(1):143-150. doi: 10.1093/gerona/glac157.
3
Assessment of dietary habits, nutritional status and common health complications of older people living in rural areas of Bangladesh.
孟加拉国农村地区老年人饮食习惯、营养状况及常见健康并发症的评估
Heliyon. 2022 Feb 11;8(2):e08947. doi: 10.1016/j.heliyon.2022.e08947. eCollection 2022 Feb.
4
Cardiovascular risk profiles and 20-year mortality in older people: gender differences in the Pro.V.A. study.老年人的心血管风险概况与20年死亡率:普罗瓦研究中的性别差异
Eur J Ageing. 2021 Apr 12;19(1):37-47. doi: 10.1007/s10433-021-00620-y. eCollection 2022 Mar.
5
Mortality risks of body mass index and energy intake trajectories in institutionalized elderly people: a retrospective cohort study.机构化老年人的体重指数和能量摄入轨迹的死亡率风险:一项回顾性队列研究。
BMC Geriatr. 2022 Jan 31;22(1):85. doi: 10.1186/s12877-022-02778-1.
6
U-shaped association between body mass index and health-related quality of life impairment in Korean cancer survivors: a nationwide representative cross-sectional survey.韩国癌症幸存者的体质指数与健康相关生活质量受损之间呈 U 型关联:一项全国代表性的横断面调查。
J Cancer Surviv. 2023 Oct;17(5):1522-1532. doi: 10.1007/s11764-022-01174-3. Epub 2022 Jan 28.
7
Proposed cut-off points for anthropometric and bioelectrical measures based on overweight and obesity criteria in Spanish institutionalised elderly people.基于超重和肥胖标准的西班牙机构老年人人体测量和生物电阻抗测量的截断点建议。
PLoS One. 2021 Mar 8;16(3):e0248028. doi: 10.1371/journal.pone.0248028. eCollection 2021.
8
Changes in micronutrient intake and factors associated with this change among older Australian men: the Concord Health and Ageing in Men Project.中老年人微量营养素摄入的变化及其相关因素:康科德男性健康与衰老研究。
Public Health Nutr. 2021 Oct;24(14):4454-4465. doi: 10.1017/S1368980020003249. Epub 2020 Sep 8.
9
DXA-Derived Visceral Adipose Tissue (VAT) in Elderly: Percentiles of Reference for Gender and Association with Metabolic Outcomes.老年人中双能X线吸收法测定的内脏脂肪组织(VAT):性别参考百分位数及其与代谢结局的关联
Life (Basel). 2020 Aug 24;10(9):163. doi: 10.3390/life10090163.
10
Changes in Body Mass Index, Energy Intake, and Fluid Intake over 60 Months Premortem as Prognostic Factors in Frail Elderly: A Post-Death Longitudinal Study.60 个月内体质量指数、能量摄入和液体摄入的变化作为衰弱老年人预后因素的前瞻性研究:一项死后纵向研究。
Int J Environ Res Public Health. 2020 Mar 11;17(6):1823. doi: 10.3390/ijerph17061823.