Evidence map›Paper›PMID 27927218›Full record

SynthesisThe international journal of behavioral nutrition and physical activity2016

Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review.

Stephanie Schoeppe, Stephanie Alley, Wendy Van Lippevelde, Nicola A Bray, Susan L Williams, Mitch J Duncan, Corneel Vandelanotte

2 registry-linked trialsAbstract readSystematic Review
In one paragraph

Synthesis in The international journal of behavioral nutrition and physical activity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 466 papers, 30 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
466citing papers in PubMed, 30 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.

NCT04461184 nacompletednot on this mapstarted 2021, after this paper: background citation

The Great Plains Internet Wellness Study for Aging: The GP I-WAS Project

TypeinterventionalSponsorNorth Dakota State UniversityRan2021 to 2021Enrolled14ConditionsInternet Based Wellness Program, Obesity, Adult PopulationArmsInternet Wellness Intervention for Aging
NCT04875780 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Effects of a Smartphone-based Weight Loss Programme Targeting Chinese Overweight Adults With Pre-diabetes: A Randomized Controlled Trial

TypeinterventionalSponsorThe University of Hong KongRan2021 to 2024Enrolled282ConditionsPre-diabetesArmsDigital diabetes prevention app intervention, Digital weight loss tracking app intervention, Wait-list control (usual care)
3 · Its place in the literature

Who cites it

466 citing papers in PubMed, 30 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. Pooled it
  13. Pooled it
  14. Pooled it
  15. Pooled it
  16. Pooled it
  17. Pooled it
  18. Pooled it
  19. Pooled it
  20. Pooled it

406 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

7 authors.

Stephanie SchoeppeCentral Queensland University, School of Health, Medical and Applied Sciences, Physical Activity Research Group, Building 77, Bruce Highway, Rockhampton, QLD 4702, Australia. s.schoeppe@cqu.edu.au.
Stephanie AlleyCentral Queensland University, School of Health, Medical and Applied Sciences, Physical Activity Research Group, Building 77, Bruce Highway, Rockhampton, QLD 4702, Australia.
Wendy Van LippeveldeGhent University, Department of Public Health, De Pintelaan 185-4 K3 room 036, 9000, Ghent, Belgium.
Nicola A BrayCentral Queensland University, School of Health, Medical and Applied Sciences, Physical Activity Research Group, Building 77, Bruce Highway, Rockhampton, QLD 4702, Australia.
Susan L WilliamsCentral Queensland University, School of Health, Medical and Applied Sciences, Building 6, Bruce Highway, Rockhampton, QLD 4702, Australia.
Mitch J DuncanThe University of Newcastle, School of Medicine & Public Health, Priority Research Centre for Physical Activity and Nutrition, University Drive, Callaghan, NSW 2308, Australia.
Corneel VandelanotteCentral Queensland University, School of Health, Medical and Applied Sciences, Physical Activity Research Group, Building 77, Bruce Highway, Rockhampton, QLD 4702, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth and fitness applications (apps) have gained popularity in interventions to improve diet, physical activity and sedentary behaviours but their efficacy is unclear. This systematic review examined the efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour in children and adults.

methodsSystematic literature searches were conducted in five databases to identify papers published between 2006 and 2016. Studies were included if they used a smartphone app in an intervention to improve diet, physical activity and/or sedentary behaviour for prevention. Interventions could be stand-alone interventions using an app only, or multi-component interventions including an app as one of several intervention components. Outcomes measured were changes in the health behaviours and related health outcomes (i.e., fitness, body weight, blood pressure, glucose, cholesterol, quality of life). Study inclusion and methodological quality were independently assessed by two reviewers.

resultsTwenty-seven studies were included, most were randomised controlled trials (n = 19; 70%). Twenty-three studies targeted adults (17 showed significant health improvements) and four studies targeted children (two demonstrated significant health improvements). Twenty-one studies targeted physical activity (14 showed significant health improvements), 13 studies targeted diet (seven showed significant health improvements) and five studies targeted sedentary behaviour (two showed significant health improvements). More studies (n = 12; 63%) of those reporting significant effects detected between-group improvements in the health behaviour or related health outcomes, whilst fewer studies (n = 8; 42%) reported significant within-group improvements. A larger proportion of multi-component interventions (8 out of 13; 62%) showed significant between-group improvements compared to stand-alone app interventions (5 out of 14; 36%). Eleven studies reported app usage statistics, and three of them demonstrated that higher app usage was associated with improved health outcomes.

conclusionsThis review provided modest evidence that app-based interventions to improve diet, physical activity and sedentary behaviours can be effective. Multi-component interventions appear to be more effective than stand-alone app interventions, however, this remains to be confirmed in controlled trials. Future research is needed on the optimal number and combination of app features, behaviour change techniques, and level of participant contact needed to maximise user engagement and intervention efficacy.

Indexed as

DietExerciseHealth BehaviorMobile ApplicationsSedentary BehaviorSmartphoneAdultChildHealth PromotionHumansEfficacyExerciseHealth behaviourHealthy eatingLiterature searchesProgramsSittingSmartphone applicationsSystematic review

Identifiers

PMID27927218
PMCPMC5142356

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.