» Articles » PMID: 28800736

Using Computer, Mobile and Wearable Technology Enhanced Interventions to Reduce Sedentary Behaviour: a Systematic Review and Meta-analysis

Overview
Publisher Biomed Central
Date 2017 Aug 13
PMID 28800736
Citations 105
Authors
Affiliations
Soon will be listed here.
Abstract

Background: High levels of sedentary behaviour (SB) are associated with negative health consequences. Technology enhanced solutions such as mobile applications, activity monitors, prompting software, texts, emails and websites are being harnessed to reduce SB. The aim of this paper is to evaluate the effectiveness of such technology enhanced interventions aimed at reducing SB in healthy adults and to examine the behaviour change techniques (BCTs) used.

Methods: Five electronic databases were searched to identify randomised-controlled trials (RCTs), published up to June 2016. Interventions using computer, mobile or wearable technologies to facilitate a reduction in SB, using a measure of sedentary time as an outcome, were eligible for inclusion. Risk of bias was assessed using the Cochrane Collaboration's tool and interventions were coded using the BCT Taxonomy (v1).

Results: Meta-analysis of 15/17 RCTs suggested that computer, mobile and wearable technology tools resulted in a mean reduction of -41.28 min per day (min/day) of sitting time (95% CI -60.99, -21.58, I2 = 77%, n = 1402), in favour of the intervention group at end point follow-up. The pooled effects showed mean reductions at short (≤ 3 months), medium (>3 to 6 months), and long-term follow-up (>6 months) of -42.42 min/day, -37.23 min/day and -1.65 min/day, respectively. Overall, 16/17 studies were deemed as having a high or unclear risk of bias, and 1/17 was judged to be at a low risk of bias. A total of 46 BCTs (14 unique) were coded for the computer, mobile and wearable components of the interventions. The most frequently coded were "prompts and cues", "self-monitoring of behaviour", "social support (unspecified)" and "goal setting (behaviour)".

Conclusion: Interventions using computer, mobile and wearable technologies can be effective in reducing SB. Effectiveness appeared most prominent in the short-term and lessened over time. A range of BCTs have been implemented in these interventions. Future studies need to improve reporting of BCTs within interventions and address the methodological flaws identified within the review through the use of more rigorously controlled study designs with longer-term follow-ups, objective measures of SB and the incorporation of strategies to reduce attrition.

Trial Registration: The review protocol was registered with PROSPERO: CRD42016038187.

Citing Articles

Southeast Asian, African, and Middle East Expert Consensus on Structured Physical Activity-Dance, Exercise, and Sports.

Bajaj S, Verma M, Sharma H, Ramaiya K, Bahendeka S, Kalra S Adv Ther. 2025; .

PMID: 40019660 DOI: 10.1007/s12325-025-03148-0.


A systematic realist synthesis of digital interventions for enhancing mental health at work: contexts, mechanisms, and outcomes.

Pelaez Zuberbuhler J, Pietrantoni L, Mazzetti G, De Angelis M, Giusino D, San Roman-Niaves M Int J Ment Health Syst. 2025; 19(1):3.

PMID: 39780192 PMC: 11715839. DOI: 10.1186/s13033-024-00655-5.


Prevalence of piriformis syndrome and its associated risk factors among university students in Pakistan: a cross-sectional study.

Batool N, Azam N, Moafa H, Hafeez A, Mehmood H, Imtiaz N BMJ Open. 2025; 15(1):e092383.

PMID: 39773790 PMC: 11749530. DOI: 10.1136/bmjopen-2024-092383.


Physical activity promotion through digital technology among older adults with type 2 diabetes mellitus: A scoping review.

Agnes T, U Nayak U, Kulakarni M, Maiya G J Taibah Univ Med Sci. 2024; 19(5):1024-1034.

PMID: 39497752 PMC: 11534181. DOI: 10.1016/j.jtumed.2024.10.001.


mHealth Physical Activity and Patient-Reported Outcomes in Patients With Inflammatory Bowel Diseases: Cluster Analysis.

Griffin A, Mentch L, Lin F, Chung A J Med Internet Res. 2024; 26:e48020.

PMID: 39316795 PMC: 11462094. DOI: 10.2196/48020.


References
1.
Commissaris D, Huysmans M, Mathiassen S, Srinivasan D, Koppes L, Hendriksen I . Interventions to reduce sedentary behavior and increase physical activity during productive work: a systematic review. Scand J Work Environ Health. 2015; 42(3):181-191. DOI: 10.5271/sjweh.3544. View

2.
Martin A, Fitzsimons C, Jepson R, Saunders D, van der Ploeg H, Teixeira P . Interventions with potential to reduce sedentary time in adults: systematic review and meta-analysis. Br J Sports Med. 2015; 49(16):1056-63. DOI: 10.1136/bjsports-2014-094524. View

3.
Matthews C, Chen K, Freedson P, Buchowski M, Beech B, Pate R . Amount of time spent in sedentary behaviors in the United States, 2003-2004. Am J Epidemiol. 2008; 167(7):875-81. PMC: 3527832. DOI: 10.1093/aje/kwm390. View

4.
Biddle S, Edwardson C, Wilmot E, Yates T, Gorely T, Bodicoat D . A Randomised Controlled Trial to Reduce Sedentary Time in Young Adults at Risk of Type 2 Diabetes Mellitus: Project STAND (Sedentary Time ANd Diabetes). PLoS One. 2015; 10(12):e0143398. PMC: 4666612. DOI: 10.1371/journal.pone.0143398. View

5.
Thomas J, Bond D . Review of innovations in digital health technology to promote weight control. Curr Diab Rep. 2014; 14(5):485. DOI: 10.1007/s11892-014-0485-1. View