Evidence map›Paper›PMID 28335475›Full record

ReviewSensors (Basel, Switzerland)2017

Mobile Health Applications to Promote Active and Healthy Ageing.

Jorunn L Helbostad, Beatrix Vereijken, Clemens Becker, Chris Todd, Kristin Taraldsen, Mirjam Pijnappels, Kamiar Aminian, Sabato Mellone

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 2 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

64 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  12. Staying engaged: a scoping review of psychological and motivational drivers of adherence to technology-supported physical activity in older adults.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2025
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4 more citing papers are in PubMed but not listed here.

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

8 authors.

Jorunn L HelbostadDepartment of Neuroscience, Faculty of Medicine, Norwegian University of Science and Technology, 7491 Trondheim, Norway. jorunn.helbostad@ntnu.no.
Beatrix VereijkenDepartment of Neuroscience, Faculty of Medicine, Norwegian University of Science and Technology, 7491 Trondheim, Norway. beatrix.vereijken@ntnu.no.
Clemens BeckerRobert Bosch Foundation for Medical Research, 70184 Stuttgart, Germany. Clemens.Becker@rbk.de.
Chris ToddSchool of Health Sciences, University of Manchester, and South Manchester University Hospital NHS Trust, and Manchester Academic Health Sciences Centre, Manchester M13 9PL, UK. chris.todd@manchester.ac.uk.
Kristin TaraldsenDepartment of Neuroscience, Faculty of Medicine, Norwegian University of Science and Technology, 7491 Trondheim, Norway. kristin.taraldsen@ntnu.no.
Mirjam PijnappelsDepartment of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, 1081BT Amsterdam, The Netherlands. m.pijnappels@vu.nl.
Kamiar AminianLaboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, 1015 Lausanne, Switzerland. kamiar.aminian@epfl.ch.
Sabato MelloneDepartment of Electrical, Electronic and Information Engineering, University of Bologna, 40126 Bologna, Italy. sabato.mellone@unibo.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The European population is ageing, and there is a need for health solutions that keep older adults independent longer. With increasing access to mobile technology, such as smartphones and smartwatches, the development and use of mobile health applications is rapidly growing. To meet the societal challenge of changing demography, mobile health solutions are warranted that support older adults to stay healthy and active and that can prevent or delay functional decline. This paper reviews the literature on mobile technology, in particular wearable technology, such as smartphones, smartwatches, and wristbands, presenting new ideas on how this technology can be used to encourage an active lifestyle, and discusses the way forward in order further to advance development and practice in the field of mobile technology for active, healthy ageing.

Indexed as

Mobile ApplicationsHealthy AgingHumansSmartphoneTelemedicineactivity monitoringhealthy ageingmobile health applicationsmobile technologysmartphonessmartwatcheswristbands

Identifiers

PMID28335475
PMCPMC5375908

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.