Evidence map›Paper›PMID 42225838›Full record

ArticleNPJ digital medicine2026

Adherence trajectories and predictors of digital balance exercise for fall prevention in community-living older people.

Kimberley S van Schooten, Meghan Ambrens, Mei Ling Lim, Rachael Sung, Michele L Callisaya, Jacqueline C T Close, Kaarin J Anstey, Stephen R Lord, Kim Delbaere

Abstract read
In one paragraph

Article in NPJ digital medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Kimberley S van SchootenFalls, Balance and Injury Research Centre, Neuroscience Research Australia, Randwick, NSW, Australia. k.vanschooten@neura.edu.au.
Meghan AmbrensFalls, Balance and Injury Research Centre, Neuroscience Research Australia, Randwick, NSW, Australia.
Mei Ling LimFalls, Balance and Injury Research Centre, Neuroscience Research Australia, Randwick, NSW, Australia.
Rachael SungFalls, Balance and Injury Research Centre, Neuroscience Research Australia, Randwick, NSW, Australia.
Michele L CallisayaMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
Jacqueline C T CloseFalls, Balance and Injury Research Centre, Neuroscience Research Australia, Randwick, NSW, Australia.
Kaarin J AnsteyFalls, Balance and Injury Research Centre, Neuroscience Research Australia, Randwick, NSW, Australia.
Stephen R LordFalls, Balance and Injury Research Centre, Neuroscience Research Australia, Randwick, NSW, Australia.
Kim DelbaereFalls, Balance and Injury Research Centre, Neuroscience Research Australia, Randwick, NSW, Australia.

Funding

Australian Research Council FL190100011National Health and Medical Research Council APP1117171National Health and Medical Research Council APP1193766
6 · The paper itself

Abstract

Long-term adherence to exercise delivered through digital health interventions is critical but remains a major challenge, particularly among older people. We pooled intervention-arm data from two randomised controlled trials in 511 community-living older people who participated in a home-based digital balance exercise programme for 52 weeks. Weekly adherence was automatically recorded and expressed as percentage of prescribed dose. Group-based trajectory modelling identified distinct trajectories of adherence and multinomial adaptive lasso regression examined cognitive, physical, demographic and psychological predictors of trajectory group membership. Eight adherence trajectories emerged: overachievers (3.9%), consistent adherers (8.2%), fluctuating adherers (23.1%), intermittent adherers (15.9%), late attrition (11.4%), steady decliners (18.4%), early attrition (14.9%), and non-adherers (4.3%). On average, participants achieved 56% of their prescribed dose. Executive function and standing balance predicted adherence trajectory group membership. Poor executive function was associated with high initial adherence followed by a steep decline, while poorer balance was associated with more sustained adherence. Demographic or general health variables did not significantly predict adherence trajectories. Adherence to digital exercise is a dynamic behaviour, shaped by behavioural capability rather than by age or comorbidities. These findings inform the design of adaptive digital interventions to promote long-term adherence to digital programmes among older people.

Identifiers

PMID42225838
PMCPMC13522597

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.