Evidence map›Paper›PMID 39070893›Full record

ArticleDigital health

Exploratory analysis of swallowing behaviour in community-dwelling older adults using a wearable device: Differences by age and ingestant under different task loads.

Masashi Tsujimoto, Tomoko Hisajima, Saho Matsuda, Seiya Tanaka, Keisuke Suzuki, Tomoya Shimokakimoto, Yoshio Toyama

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Review
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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

7 authors.

Masashi TsujimotoNational Center for Geriatrics and Gerontology, Innovation Center for Translational Research, Obu, Japan.ORCID https://orcid.org/0000-0002-4205-2808
Tomoko HisajimaMeiji Co., Ltd (R&D Division), Hachioji, Japan.
Saho MatsudaPLIMES Inc., Tsukuba, Japan.
Seiya TanakaNational Center for Geriatrics and Gerontology, Innovation Center for Translational Research, Obu, Japan.
Keisuke SuzukiNational Center for Geriatrics and Gerontology, Innovation Center for Translational Research, Obu, Japan.
Tomoya ShimokakimotoPLIMES Inc., Tsukuba, Japan.
Yoshio ToyamaMeiji Co., Ltd (R&D Division), Hachioji, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To develop a new method of evaluating swallowing behaviour. Methods: Sixty-nine healthy participants were divided into a younger (16 males and 16 females, mean age 39.09 ± 12.16 years) and older (18 males and 19 females, mean age 71.43 ± 5.50 years) group. The participants ingested water and yoghurt twice (directed and free swallowing) at rest and after performing simple daily life tasks (calculation and exercise). To measure swallowing frequency, we employed a smartphone-based, portable and neck-worn swallowing-sound-monitoring device. This device monitors swallowing behaviour continuously by collecting biological sounds from the neck without imposing behavioural restrictions. A neural network model of swallowing sound identification by deep learning was used for the subsequent evaluation. This device was used to obtain two types of saliva-swallowing sounds associated with different ingestants, at rest and after performing a stimulating task. Furthermore, we assessed the associated subjective psychological states. Results: The younger group showed a higher directed swallowing frequency (for both water and yoghurt) than the older group did. Regarding the type of ingestant, the swallowing frequency for yoghurt was higher during free swallowing in both the young and the older groups. 'Feeling calm' was reported significantly more often in the older group after swallowing yoghurt following exercise. Conclusions: Swallowing status in daily life was measured non-invasively using a wearable mobile device. It is important to consider the type of ingestant, daily living activities, and age when assessing swallowing.

Indexed as

activity of daily livingaudio data microphonesbiomedical monitoringdeglutitionfrailtymHealtholder adultsreal-time monitoring methodWearableyoghurt

Identifiers

PMID39070893
PMCPMC11282566

What OpenQuestion holds

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LicenceCC BY-NC
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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.