Evidence map›Paper›PMID 38394113›Full record

ArticlePloS one2024

Technology and physical activity for preventing cognitive and physical decline in older adults: Protocol of a pilot RCT.

Savannah Kiah Hui Siew, Junhong Yu, Tat Lee Teo, Kuang Chua Chua, Rathi Mahendran, Iris Rawtaer

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04692974 (Cognitive Frailty in Older Adults), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 22% of its field
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.

NCT04692974 naunknown statusnot on this map

Cognitive Frailty in Older Adults: Protocol of a Pilot RCT of the Role of Technology in Physical Activity Enhancement

TypeinterventionalSponsorNational University of SingaporeRan2020 to 2021Enrolled60ConditionsMild Cognitive Impairment, FrailtyArmsMobile phone application and smart watch
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
  2. Differential impacts of job-relatedWorld journal of psychiatry · 2026
    Article
  3. Article
  4. 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 at 4 institutions in 1 country.

Savannah Kiah Hui SiewPsychology, School of Social Sciences, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0003-1927-3845
Junhong YuPsychology, School of Social Sciences, Nanyang Technological University, Singapore, Singapore.
Tat Lee TeoSchool of Engineering, Ngee Ann Polytechnic, Singapore, Singapore.
Kuang Chua ChuaSchool of Engineering, Ngee Ann Polytechnic, Singapore, Singapore.
Rathi MahendranYeo Boon Khim Mind Science Centre, National University of Singapore, Singapore, Singapore.ORCID 0000-0003-4213-7163
Iris RawtaerDepartment of Psychiatry, Sengkang General Hospital, Singapore, Singapore.
Nanyang Technological University · SGNgee Ann Polytechnic · SGNational University of Singapore · SGSengkang General Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCognitive frailty, defined as having both physical frailty and cognitive impairment that does not satisfy the criteria for Major Neurocognitive Disorder, represents an elevated risk for morbidity. Hence, it is crucial to mitigate such risks. Physical activity interventions have been found effective in protecting against physical frailty and cognitive deterioration. This pilot RCT examines if smartwatches and mobile phone applications can help to increase physical activity, thereby improving physical and cognitive outcomes.

methodsOlder individuals (n = 60) aged 60 to 85 years old will have their physical activity tracked using a smartwatch. The subjects will be randomized into two arms: one group will receive daily notification prompts if they did not reach the recommended levels of PA; the control group will not receive prompts. Outcome variables of physical activity level, neurocognitive scores, and physical frailty scores will be measured at baseline, T1 (3 months), and T2 (6 months). Sleep quality, levels of motivation, anxiety, and depression will be controlled for in our analyses. We hypothesize that the intervention group will have higher levels of physical activity resulting in improved cognitive and physical outcomes at follow-up. This study was approved by the National University of Singapore's Institutional Review Board on 17 August 2020 (NUS-IRB Ref. No.: H-20-038). DISCUSSION: Wearable sensors technology could prove useful by facilitating self-management in physical activity interventions. The findings of this study can justify the use of technology in physical activity as a preventive measure against cognitive frailty in older adults. This intervention also complements the rapidly rising use of technology, such as smartphones and wearable health devices, in our lives today. REGISTRATION DETAILS: This study has been retrospectively registered on clinicaltrials.gov on 5th January 2021 (NCT Identifier: NCT04692974), after the first participant was recruited.

Indexed as

Cognitive DysfunctionFrailtyAgedAged, 80 and overCognitionExerciseHumansMiddle AgedRandomized Controlled Trials as TopicTechnology

Identifiers

PMID38394113
PMCPMC10889650
OpenAlexW4392122717

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.