Evidence map›Paper›PMID 26844124›Full record

ArticlePreventive medicine reports2015

A novel approach to the issue of physical inactivity in older age.

Anne Tiedemann, Leanne Hassett, Catherine Sherrington

Abstract read
In one paragraph

Article in Preventive medicine reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

8 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Efficacy, feasibility, and acceptability of a novel technology-based intervention to support physical activity in cancer survivors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2017
    Article
  6. Article
  7. Article
  8. 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

3 authors.

Anne TiedemannThe George Institute for Global Health, Sydney, Australia.
Leanne HassettThe George Institute for Global Health, Sydney, Australia.
Catherine SherringtonThe George Institute for Global Health, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWell-designed exercise can prevent falls in older people but previous research indicates that promoting general physical activity may increase falls. This study aimed to evaluate uptake and adherence to a physical activity promotion and fall prevention intervention among community-dwelling people aged 60 + years.

methodsThis was a process evaluation of intervention group data from an ongoing randomised controlled trial. Participants were 38 Australian community-dwelling older people assigned to intervention group who had completed 3 months of a physical activity and fall prevention intervention. Study measures included baseline daily step count assessed by Actigraph accelerometers, 12 week follow-up step count assessed by Fitbit pedometers and rating of participant engagement with the health coaching intervention.

results35 participants remained in the study at week 12 and were analysed. Mean daily steps significantly increased in week 12 compared with steps at baseline (change in mean = 1101 steps, 95% CI: 285-1917, p = 0.01). Health coaching engagement was rated as high for 19 people (54%), medium for 12 (34%) and low for 4 people (12%). All participants used the Fitbit to provide feedback about daily activity.

conclusionThe excellent intervention compliance and promising physical activity results demonstrate the acceptability and feasibility of this novel intervention.

Indexed as

ExerciseFallsPhysical activitySuccessful ageing

Identifiers

PMID26844124
PMCPMC4721478

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.