Evidence map›Paper›PMID 40217393›Full record

ArticleJournal of activity, sedentary and sleep behaviors2023

Associations between app usage and behaviour change in a m-health intervention to improve physical activity and sleep health in adults: secondary analyses from two randomised controlled trials.

Leah L Murphy, Ben J Dascombe, Beatrice Murawski, Anna T Rayward, Wendy J Brown, Ronald C Plotnikoff, Corneel Vandelanotte, Elizabeth G Holliday, Mitch J Duncan

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In one paragraph

Article in Journal of activity, sedentary and sleep behaviors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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

9 authors.

Leah L MurphySchool of Medicine and Public Health, Faculty of Health and Medicine, College of Health, Medicine, and Wellbeing, University of Newcastle, University Drive, Callaghan, 2308, NSW, Australia.
Ben J DascombeApplied Sport Science and Exercise Testing Laboratory, School of Environmental and Life Sciences, University of Newcastle, Ourimbah, NSW, 2258, Australia.
Beatrice MurawskiSchool of Medicine and Public Health, Faculty of Health and Medicine, College of Health, Medicine, and Wellbeing, University of Newcastle, University Drive, Callaghan, 2308, NSW, Australia.
Anna T RaywardSchool of Medicine and Public Health, Faculty of Health and Medicine, College of Health, Medicine, and Wellbeing, University of Newcastle, University Drive, Callaghan, 2308, NSW, Australia.
Wendy J BrownSchool of Human Movement and Nutrition Studies, The University of Queensland, Brisbane, QLD, 4072, Australia.
Ronald C PlotnikoffSchool of Medicine and Public Health, Faculty of Health and Medicine, College of Health, Medicine, and Wellbeing, University of Newcastle, University Drive, Callaghan, 2308, NSW, Australia.
Corneel VandelanotteSchool of Health, Medical and Applied Sciences, Appleton Institute, Physical Activity Research Group, Central Queensland University, Rockhampton, QLD, 4701, Australia.
Elizabeth G HollidaySchool of Medicine and Public Health, Faculty of Health and Medicine, College of Health, Medicine, and Wellbeing, University of Newcastle, University Drive, Callaghan, 2308, NSW, Australia.
Mitch J DuncanSchool of Medicine and Public Health, Faculty of Health and Medicine, College of Health, Medicine, and Wellbeing, University of Newcastle, University Drive, Callaghan, 2308, NSW, Australia. Mitch.Duncan@newcastle.edu.au.

Funding

Australian Research Council FT210100234National Health and Medical Research Council APP1141606National Heart Foundation of Australia 100029
6 · The paper itself

Abstract

backgroundTo examine associations between user engagement and activity-sleep patterns in a 12-week m-health behavioural intervention targeting physical activity and sleep.

methodsThis secondary analysis used data pooled from two Randomised Control Trials (RCT, [Synergy and Refresh]) that aimed to improve physical activity and sleep (PAS) among physically inactive adults with poor sleep. Both RCTs include a PAS intervention group (n = 190 [Synergy n = 80; Refresh n = 110]) and a wait list Control (CON n = 135 [Synergy n = 80; Refresh n = 55]). The PAS groups received a pedometer and accessed a smartphone/tablet "app" with behaviour change strategies, and email/SMS support. Activity-sleep patterns were quantified using the activity-sleep behaviour index (ASI) based on self-report measures. Intervention usage was quantified as a composite score of the frequency, intensity and duration of app usage during intervention (range: 0-30). Assessments were conducted at baseline, 3 and 6 months. Relationships between usage and ASI were examined using generalised linear models. Differences in ASI between the control group and intervention usage groups (Low [0-10.0], Mid [10.1-20.0], High [20.1-30.0]) were examined using generalised linear mixed models adjusted for baseline values of the outcome.

trial registrationACTRN12617000376347; ACTRN12617000680369.

resultsDuring the 3-month intervention, the mean (± sd) usage score was 18.9 ± 9.5. At 3 months (regression coefficient [95%CI]: 0.45 [0.22, 0.68]) and 6 months (0.48 [0.22, 0.74]) there was a weak association between usage score and ASI in the intervention group. At 3 months, ASI scores in the Mid (Mean [95%CI] = 57.51 [53.99, 61.04]) and High (60.09 [57.52, 62.67]) usage groups were significantly higher (better) than the control group (51.91 [49.58, 54.24]), but not the Low usage group (47.49 [41.87, 53.12]). Only differences between the high usage and control group remained at 6 months.

conclusionThese findings suggests that while higher intervention usage is associated with improvements in behaviour, the weak magnitude of this association suggests that other factors are also likely to influence behaviour change in m-health interventions. TRIAL REGISTRATION NUMBER: ACTRN12617000376347; ACTRN12617000680369.

Indexed as

AttritionDose-responseeHealthEngagementUsage

Identifiers

PMID40217393
PMCPMC11960321

What Socratic 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 Socratic graph.