Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Previously submitted to: JMIR mHealth and uHealth (no longer under consideration since Nov 10, 2021)

Date Submitted: Apr 8, 2021
Open Peer Review Period: Mar 31, 2021 - May 26, 2021
(closed for review but you can still tweet)

NOTE: This is an unreviewed Preprint

Warning: This is a unreviewed preprint (What is a preprint?). Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn (a note "no longer under consideration" will appear above).

Peer review me: Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period (in this case, a "Peer Review Me" button to sign up as reviewer is displayed above). All preprints currently open for review are listed here. Outside of the formal open peer-review period we encourage you to tweet about the preprint.

Citation: Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author).

Final version: If our system detects a final peer-reviewed "version of record" (VoR) published in any journal, a link to that VoR will appear below. Readers are then encourage to cite the VoR instead of this preprint.

Settings: If you are the author, you can login and change the preprint display settings, but the preprint URL/DOI is supposed to be stable and citable, so it should not be removed once posted.

Submit: To post your own preprint, simply submit to any JMIR journal, and choose the appropriate settings to expose your submitted version as preprint.

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Evaluation and intervention in the risk of falls in institutionalized elderly using smartphone sensors

  • María Pilar Molés Julio; 
  • José Francisco Pedrero-Sánchez; 
  • María Viecenta Lucas-Miralles; 
  • Irene Carmona-Fortuño; 
  • David Garrido-Jaén; 
  • Alfonso Oltra-Pastor; 
  • Aurora Esteve-Clavero

ABSTRACT

Background:

Aging produces a deterioration in the older person and this affects the neuromuscular system among others, reducing muscle mass, strength and muscle power and this generates a decrease in functional capacity in the elderly, can cause falls and disability.

Objective:

The aim of this study is to analyze the ability to know the functional capacity and fall risk of elderly people in nursing homes through a novel short-test using a single inertial sensor embedded in an Android device.

Methods:

Study participants included 47 older people (over 55 years old) resided in two nursing homes. Functional assessment with FallSkip® which includes static balance, gait analysis, lower limb power when sit to stand, test execution time and reaction time. The patients were randomly divided into two study groups, control and experimental group. The experimental group underwent individualized rehabilitation therapy based on the results obtained by the modified Timed Up and Go falls risk test. Subsequently, the results obtained between the two residences and between the experimental groups were compared.

Results:

70% of people in nursing homes are over 75 years old, which the female participants were mostly found in the older age groups, unlike their male counterparts, who were concentrated in the younger age groups. When comparing the anthropometric variables and clinical scales for the two nursing homes no statistically significant differences appeared (p > 0.05) only on the fall risk score (p < 0.05) and the sit to stand power (p < 0.05).

Conclusions:

The comfort of evaluating the functional status of the elderly in the nursing homes by an objective and simple functional test has allowed us to carry out individualized rehabilitation interventions for each participant; as well as to know the functional level of the people in the nursing homes.


 Citation

Please cite as:

Molés Julio MP, Pedrero-Sánchez JF, Lucas-Miralles MV, Carmona-Fortuño I, Garrido-Jaén D, Oltra-Pastor A, Esteve-Clavero A

Evaluation and intervention in the risk of falls in institutionalized elderly using smartphone sensors

JMIR Preprints. 08/04/2021:29265

DOI: 10.2196/preprints.29265

URL: https://preprints.jmir.org/preprint/29265

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.