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本文引用的文献

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Frailty as the Future Core Business of Public Health: Report of the Activities of the A3 Action Group of the European Innovation Partnership on Active and Healthy Ageing (EIP on AHA).衰弱作为公共卫生的未来核心业务:欧洲积极健康老龄化创新伙伴关系(EIP-AHA)A3 行动小组活动报告。
Int J Environ Res Public Health. 2018 Dec 13;15(12):2843. doi: 10.3390/ijerph15122843.
2
A realist review to understand the efficacy and outcomes of interventions designed to minimise, reverse or prevent the progression of frailty.一项旨在了解旨在最小化、逆转或预防虚弱进展的干预措施的疗效和结果的现实主义综述。
Health Psychol Rev. 2018 Dec;12(4):382-404. doi: 10.1080/17437199.2018.1488601. Epub 2018 Jun 25.
3
One small step in frailty research, a giant leap in evidence based practice.脆弱性研究的一小步,循证实践的一大步。
JBI Database System Rev Implement Rep. 2018 Jan;16(1):1-3. doi: 10.11124/JBISRIR-2017-003672.
4
Adaptation and validation into Portuguese language of the six-item cognitive impairment test (6CIT).六项目认知障碍测试(6CIT)的葡萄牙语适应性和验证。
Aging Ment Health. 2018 Sep;22(9):1184-1189. doi: 10.1080/13607863.2017.1348473. Epub 2017 Jul 25.
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Frailty measurement in research and clinical practice: A review.衰弱的研究与临床实践中的测量:综述。
Eur J Intern Med. 2016 Jun;31:3-10. doi: 10.1016/j.ejim.2016.03.007. Epub 2016 Mar 31.
6
The geriatric management of frailty as paradigm of "The end of the disease era".衰弱的老年医学管理:“疾病时代的终结”范例。
Eur J Intern Med. 2016 Jun;31:11-4. doi: 10.1016/j.ejim.2016.03.005. Epub 2016 Mar 18.
7
Developing Biomarker Arrays Predicting Sleep and Circadian-Coupled Risks to Health.开发预测睡眠及昼夜节律相关健康风险的生物标志物阵列。
Sleep. 2016 Apr 1;39(4):727-36. doi: 10.5665/sleep.5616.
8
Frailty: An Emerging Public Health Priority.衰弱:一个新兴的公共卫生重点。
J Am Med Dir Assoc. 2016 Mar 1;17(3):188-92. doi: 10.1016/j.jamda.2015.12.016. Epub 2016 Jan 21.
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Frailty in elderly people.老年人虚弱。
Lancet. 2013 Mar 2;381(9868):752-62. doi: 10.1016/S0140-6736(12)62167-9. Epub 2013 Feb 8.
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Prevalence of frailty in community-dwelling older persons: a systematic review.社区居住老年人虚弱的流行情况:系统综述。
J Am Geriatr Soc. 2012 Aug;60(8):1487-92. doi: 10.1111/j.1532-5415.2012.04054.x. Epub 2012 Aug 6.

衰弱临床预测模型(ModulEn)的开发与验证研究方案:欧洲应对衰弱的新承诺。

A Study Protocol for Development and Validation of a Clinical Prediction Model for Frailty (ModulEn): a new European Commitment to Tackling Frailty.

作者信息

Apóstolo J, Bobrowicz-Campos E, Moreno-Casbas T, Teixeira-Santos L, Sánchez de Madariaga R, Casado-Ramírez E, Couto F, Coelho A, Parola V, Gil I, Pascual-Carrasco M, Almeida M de L

机构信息

Nursing School of Coimbra, Coimbra, Portugal.

The Health Sciences Research Unit: Nursing, Nursing School of Coimbra, Coimbra, Portugal.

出版信息

Transl Med UniSa. 2019 Jan 6;19:36-41. eCollection 2019 Jan-Jun.

PMID:31360665
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6581487/
Abstract

There is a growing need to implement and evaluate the technological solutions that allow the early detection of age-related frailty and enable assessment of the predictive values of frailty components. The broad use of these solutions may ensure an efficient and sustainable response of health and social care systems to the challenges related to demographic aging. In this paper, we present the protocol of the ModulEn study that aims to develop and validate a predictive model for frailty. For this purpose, the sample composed by older adults aged 65-80 years and recruited from the community will be invited to use an electronic device ACM Kronowise® 2.0. This device allows proactive and continuous monitoring of circadian health, physical activity, and sleep and eating habits. It will be used during a period of seven to ten days. The participants will also be given the questionnaires evaluating the variables of interest, including frailty level, as well as their experience and satisfaction with the device use. Data provided from these two sources will be combined and the relevant associations will be identified. In our view, the implications of this study' findings for clinical practice include the possibility to develop and validate tools for timely prevention of frailty progress. In the long term, the ModulEn may contribute to the critical reduction of frailty burden in Europe.

摘要

实施和评估能够实现与年龄相关的衰弱早期检测并能够评估衰弱组成部分预测价值的技术解决方案的需求日益增长。广泛使用这些解决方案可确保卫生和社会护理系统对与人口老龄化相关的挑战做出高效且可持续的应对。在本文中,我们展示了ModulEn研究的方案,该研究旨在开发并验证一个衰弱预测模型。为此,将邀请从社区招募的65至80岁老年人组成的样本使用电子设备ACM Kronowise® 2.0。该设备可对昼夜节律健康、身体活动以及睡眠和饮食习惯进行主动且持续的监测。监测将持续七至十天。参与者还将收到评估感兴趣变量(包括衰弱水平)以及他们使用该设备的体验和满意度的问卷。将结合这两个来源提供的数据并确定相关关联。我们认为,这项研究结果对临床实践的影响包括有可能开发并验证及时预防衰弱进展的工具。从长远来看,ModulEn可能有助于大幅减轻欧洲的衰弱负担。