Evidence map›Paper›PMID 38753692›Full record

ArticlePloS one2024

Mapping sedentary behaviour (MAPS-B) in winter and spring using wearable sensors, indoor positioning systems, and diaries in older adults who are pre-frail and frail: A feasibility longitudinal study.

Isabel B Rodrigues, Suleman Tariq, Alexa Kouroukis, Rachel Swance, Jonathan Adachi, Steven Bray, Qiyin Fang, George Ioannidis, Dylan Kobsar, Alexander Rabinovich and 2 more

Abstract read
PubMed Full text at PMC Publisher
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. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  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

12 authors.

Isabel B RodriguesFaculty of Health Sciences, Department of Medicine, McMaster University, Hamilton, ON, Canada.ORCID 0000-0002-3158-813X
Suleman TariqFaculty of Medicine, University of Toronto, Toronto, ON, Canada.
Alexa KouroukisFaculty of Medicine, University of Toronto, Toronto, ON, Canada.
Rachel SwanceFaculty of Science, Department of Life Sciences, McMaster University, Hamilton, ON, Canada.
Jonathan AdachiFaculty of Health Sciences, Department of Medicine, McMaster University, Hamilton, ON, Canada.
Steven BrayFaculty of Science, Department of Kinesiology, McMaster University, Hamilton, ON, Canada.
Qiyin FangFaculty of Engineering, Department of Engineering Physics, McMaster University, Hamilton, ON, Canada.
George IoannidisFaculty of Health Sciences, Department of Medicine, McMaster University, Hamilton, ON, Canada.
Dylan KobsarFaculty of Science, Department of Kinesiology, McMaster University, Hamilton, ON, Canada.ORCID 0000-0002-4268-3618
Alexander RabinovichDepartment of Surgery, Division of Orthopaedic Surgery, McMaster University, Hamilton, ON, Canada.
Alexandra PapaioannouFaculty of Health Sciences, Department of Medicine, McMaster University, Hamilton, ON, Canada.
Rong ZhengFaculty of Engineering, Department of Computing and Software, McMaster University, Hamilton, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Older adults who are frail are likely to be sedentary. Prior interventions to reduce sedentary time in older adults have not been effective as there is little research about the context of sedentary behaviour (posture, location, purpose, social environment). Moreover, there is limited evidence on feasible measures to assess context of sedentary behaviour in older adults. The aim of our study was to determine the feasibility of measuring context of sedentary behaviour in older adults with pre-frailty or frailty using a combination of objective and self-report measures. We defined "feasibility process" using recruitment (20 participants within two-months), retention (85%), and refusal (20%) rates and "feasibility resource" if the measures capture context and can be linked (e.g., sitting-kitchen-eating-alone) and are all participants willing to use the measures. Context was assessed using a wearable sensor to assess posture, a smart home monitoring system for location, and an electronic or hard-copy diary for purpose and social context over three days in winter and spring. We approached 80 potential individuals, and 58 expressed interest; of the 58 individuals, 37 did not enroll due to lack of interest or medical mistrust (64% refusal). We recruited 21 older adults (72±7.3 years, 13 females, 13 frail) within two months and experienced two dropouts due to medical mistrust or worsening health (90% retention). The wearable sensor, indoor positioning system, and electronic diary accurately captured one domain of context, but the hard copy was often not completed with enough detail, so it was challenging to link it to the other devices. Although not all participants were willing to use the wearable sensor, indoor positioning system, or electronic diary, we were able to triage the measures of those who did. The use of wearable sensors and electronic diaries may be a feasible method to assess context of sedentary behaviour, but more research is needed with device-based measures in diverse groups.

Indexed as

Feasibility StudiesSeasonsSedentary BehaviorWearable Electronic DevicesAgedAged, 80 and overFemaleFrail ElderlyGeographic Information SystemsHumansLongitudinal StudiesMaleSelf Report

Identifiers

PMID38753692
PMCPMC11098368

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.