Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review
- PMID: 27927218
- PMCID: PMC5142356
- DOI: 10.1186/s12966-016-0454-y
Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review
Abstract
Background: Health 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.
Methods: Systematic 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.
Results: Twenty-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.
Conclusions: This 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.
Keywords: Efficacy; Exercise; Health behaviour; Healthy eating; Literature searches; Programs; Sitting; Smartphone applications; Systematic review.
Similar articles
-
Interventions for promoting habitual exercise in people living with and beyond cancer.Cochrane Database Syst Rev. 2018 Sep 19;9(9):CD010192. doi: 10.1002/14651858.CD010192.pub3. Cochrane Database Syst Rev. 2018. PMID: 30229557 Free PMC article.
-
Strategies for enhancing the implementation of school-based policies or practices targeting risk factors for chronic disease.Cochrane Database Syst Rev. 2017 Nov 29;11(11):CD011677. doi: 10.1002/14651858.CD011677.pub2. Cochrane Database Syst Rev. 2017. Update in: Cochrane Database Syst Rev. 2022 Aug 29;8:CD011677. doi: 10.1002/14651858.CD011677.pub3. PMID: 29185627 Free PMC article. Updated.
-
Physical exercise training interventions for children and young adults during and after treatment for childhood cancer.Cochrane Database Syst Rev. 2016 Mar 31;3(3):CD008796. doi: 10.1002/14651858.CD008796.pub3. Cochrane Database Syst Rev. 2016. PMID: 27030386 Free PMC article.
-
Computer and mobile technology interventions for self-management in chronic obstructive pulmonary disease.Cochrane Database Syst Rev. 2017 May 23;5(5):CD011425. doi: 10.1002/14651858.CD011425.pub2. Cochrane Database Syst Rev. 2017. PMID: 28535331 Free PMC article.
-
Nutritional interventions for survivors of childhood cancer.Cochrane Database Syst Rev. 2016 Aug 22;2016(8):CD009678. doi: 10.1002/14651858.CD009678.pub2. Cochrane Database Syst Rev. 2016. PMID: 27545902 Free PMC article.
Cited by
-
Evaluation of Exercise Mobile Applications for Adults with Cardiovascular Disease Risk Factors.J Cardiovasc Dev Dis. 2023 Nov 28;10(12):477. doi: 10.3390/jcdd10120477. J Cardiovasc Dev Dis. 2023. PMID: 38132645 Free PMC article. Review.
-
Perceptions of self-monitoring dietary intake according to a plate-based approach: A qualitative study.PLoS One. 2023 Nov 28;18(11):e0294652. doi: 10.1371/journal.pone.0294652. eCollection 2023. PLoS One. 2023. PMID: 38015899 Free PMC article.
-
Effectiveness of Digital Interventions for Reducing Behavioral Risks of Cardiovascular Disease in Nonclinical Adult Populations: Systematic Review of Reviews.J Med Internet Res. 2021 May 14;23(5):e19688. doi: 10.2196/19688. J Med Internet Res. 2021. PMID: 33988126 Free PMC article.
-
Association Between Mobile Health App Engagement and Weight Loss and Glycemic Control in Adults With Type 2 Diabetes and Prediabetes (D'LITE Study): Prospective Cohort Study.JMIR Diabetes. 2022 Sep 30;7(3):e35039. doi: 10.2196/35039. JMIR Diabetes. 2022. PMID: 36178718 Free PMC article.
-
Smartphone Applications for Period Tracking: Rating and Behavioral Change among Women Users.Obstet Gynecol Int. 2020 Sep 1;2020:2192387. doi: 10.1155/2020/2192387. eCollection 2020. Obstet Gynecol Int. 2020. PMID: 32952563 Free PMC article.
References
-
- World Health Organization. Global status report on noncommunicable diseases. World Health Organization. 2014. http://www.who.int/nmh/publications/ncd-status-report-2014/en/. Accessed 5 Jul 2016.
-
- Statistica. Number of smartphone users worldwide from 2014 to 2019. Statistica. 2016. http://www.statista.com/statistics/330695/number-of-smartphone-users-wor.... Accessed 5 Jul 2016.
-
- Australian Communications and Media Authority . Communications report 2014–15. Australian communications and media authority. 2015.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical