Evidence map›Paper›PMID 29941835›Full record

Trial reportSensors (Basel, Switzerland)2018

Complexity of Daily Physical Activity Is More Sensitive Than Conventional Metrics to Assess Functional Change in Younger Older Adults.

Wei Zhang, Michael Schwenk, Sabato Mellone, Anisoara Paraschiv-Ionescu, Beatrix Vereijken, Mirjam Pijnappels, A Stefanie Mikolaizak, Elisabeth Boulton, Nini H Jonkman, Andrea B Maier and 4 more

Abstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. The work Lifestyle-integrated Functional Exercise program for preventing functional decline in employees aged 55 years and older: development and initial evaluation.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2024
    Article
  6. Article
  7. Article
  8. Physical activity monitoring-based interventions in geriatric patients: a scoping review on intervention components and clinical applicability.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

14 authors.

Wei ZhangLaboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, 1015 Lausanne, Switzerland. w.zhang@epfl.ch.ORCID 0000-0003-1692-9511
Michael SchwenkRobert Bosch Foundation for Medical Research, 70376 Stuttgart, Germany. michael.schwenk@rbk.de.
Sabato MelloneDepartment of Electrical, Electronic and Information Engineering, University of Bologna, 40136 Bologna, Italy. sabato.mellone@unibo.it.ORCID 0000-0001-7688-0188
Anisoara Paraschiv-IonescuLaboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, 1015 Lausanne, Switzerland. anisoara.ionescu@epfl.ch.
Beatrix VereijkenDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology, 7491 Trondheim, Norway. beatrix.vereijken@ntnu.no.ORCID 0000-0002-2231-8138
Mirjam PijnappelsDepartment of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, 1081BT Amsterdam, The Netherlands. m.pijnappels@vu.nl.
A Stefanie MikolaizakRobert Bosch Foundation for Medical Research, 70376 Stuttgart, Germany. stefanie.mikolaizak@rbk.de.
Elisabeth BoultonSchool of Health Sciences, Faculty of Medicine, Biology and Health, University of Manchester, and Manchester Academic Health Science Centre, Manchester M13 9PL, UK. elisabeth.boulton@manchester.ac.uk.
Nini H JonkmanDepartment of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, 1081BT Amsterdam, The Netherlands. n.h.jonkman@vu.nl.
Andrea B MaierDepartment of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, 1081BT Amsterdam, The Netherlands. andrea.maier@mh.org.au.ORCID 0000-0001-7206-1724
Jochen KlenkRobert Bosch Foundation for Medical Research, 70376 Stuttgart, Germany. jochen.klenk@rbk.de.ORCID 0000-0002-5987-447X
Jorunn HelbostadDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology, 7491 Trondheim, Norway. jorunn.helbostad@ntnu.no.ORCID 0000-0003-0214-9290
Kristin TaraldsenDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology, 7491 Trondheim, Norway. kristin.taraldsen@ntnu.no.
Kamiar AminianLaboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, 1015 Lausanne, Switzerland. kamiar.aminian@epfl.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emerging mHealth applications, incorporating wearable sensors, enables continuous monitoring of physical activity (PA). This study aimed at analyzing the relevance of a multivariate complexity metric in assessment of functional change in younger older adults. Thirty individuals (60⁻70 years old) participated in a 4-week home-based exercise intervention. The Community Balance and Mobility Scale (CBMS) was used for clinical assessment of the participants’ functional balance and mobility performance pre- and post- intervention. Accelerometers worn on the low back were used to register PA of one week before and in the third week of the intervention. Changes in conventional univariate PA metrics (percentage of walking and sedentary time, step counts, mean cadence) and complexity were compared to the change as measured by the CBMS. Statistical analyses (21 participants) showed significant rank correlation between the change as measured by complexity and CBMS (ρ = 0.47,

Indexed as

Activities of Daily LivingMonitoring, AmbulatoryAgedExerciseGaitHumansLongitudinal StudiesMiddle AgedMultivariate AnalysisPilot ProjectsSedentary BehaviorTelemedicineWearable Electronic Devicesexercise interventionfunctional declinelongitudinal studymultivariate analysiswearable sensors

Identifiers

PMID29941835
PMCPMC6069067

What OpenQuestion holds

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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 OpenQuestion graph.