Evidence map›Paper›PMID 31228029›Full record

ArticleAging clinical and experimental research2020

Ageing-friendly cities for assessing older adults' decline: IoT-based system for continuous monitoring of frailty risks using smart city infrastructure.

Patricia Abril-Jiménez, Javier Rojo Lacal, Silvia de Los Ríos Pérez, Miguel Páramo, Juan Bautista Montalvá Colomer, María Teresa Arredondo Waldmeyer

Abstract read
In one paragraph

Article in Aging clinical and experimental research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. A Sensor-Based mHealth Platform for Remote Monitoring and Intervention of Frailty Patients at Home.International journal of environmental research and public health · 2021
    Article
  6. Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Patricia Abril-JiménezEscuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, 108, Avenida Complutense 30, 28040, Madrid, Spain. pabril@lst.tfo.upm.es.ORCID http://orcid.org/0000-0001-8984-1364
Javier Rojo LacalEscuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, 108, Avenida Complutense 30, 28040, Madrid, Spain.
Silvia de Los Ríos PérezEscuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, 108, Avenida Complutense 30, 28040, Madrid, Spain.
Miguel PáramoEscuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, 108, Avenida Complutense 30, 28040, Madrid, Spain.
Juan Bautista Montalvá ColomerEscuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, 108, Avenida Complutense 30, 28040, Madrid, Spain.
María Teresa Arredondo WaldmeyerEscuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, 108, Avenida Complutense 30, 28040, Madrid, Spain.

Funding

H2020 Societal Challenges 689731H2020 Societal Challenges 732679
6 · The paper itself

Abstract

BACKGROUND AND

aimsPopulation ageing is a typical phenomenon of developed countries with a great influence in their economy and society, with an increment on age-related expenditures. Disruptive solutions are needed to deploy new cost-effective and sustainable solutions for aging well and independent living of our seniors. In this sense, new technological paradigms as IoT technologies and smart cities have the potential to become main drivers for innovation uptake. The purpose of this study is to describe a longitudinal cohort study in smart cities for assessing early frailty symptoms deploying an unobtrusive IoT-based system in the Madrid city.

methodsA system was deployed in the Madrid city with the participation of 45 elderly users for an average of 71 weeks. Metrics were assessed by the available sensors in combination with the open data infrastructure of Madrid. Metrics include activity of the user, weekly visits pattern and transport daily usage pattern. System engagement was also monitored. Participants are assessed bimonthly with health and functional questionnaires.

results45 older adults with a mean age of 79.1 years. Participants activity patterns monitor detected changes during potentially risky situations that usually were not reported by traditional assessment tools. Analysis of data collected enabled to identify absence of frailty (robust or post-robust status) DISCUSSION AND

conclusionsThe results demonstrate the feasibility of engaging older adults with an IoT-based system and the successful collection of their activity metrics. Variation in the activity patterns may be a first sign of functional decline and enables to identify potential areas of early intervention.

Indexed as

AgingFrailtyAgedCitiesCohort StudiesHumansIndependent LivingLongitudinal StudiesMonitoring, PhysiologicSurveys and QuestionnairesActivity patternAgingData analysisEarly detection

Identifiers

PMID31228029
PMCPMC7170813

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.