Literature DB >> 33355160

Do smartphone applications and activity trackers increase physical activity in adults? Systematic review, meta-analysis and metaregression.

Ding Ding1, Bruno Heleno2, Liliana Laranjo3,4, Baki Kocaballi4,5, Juan C Quiroz4,6, Huong Ly Tong4, Bahia Chahwan4, Ana Luisa Neves7, Elia Gabarron8, Kim Phuong Dao4, David Rodrigues9, Gisela Costa Neves9, Maria L Antunes10, Enrico Coiera4, David W Bates11.   

Abstract

OBJECTIVE: To determine the effectiveness of physical activity interventions involving mobile applications (apps) or trackers with automated and continuous self-monitoring and feedback.
DESIGN: Systematic review and meta-analysis. DATA SOURCES: PubMed and seven additional databases, from 2007 to 2020. STUDY SELECTION: Randomised controlled trials in adults (18-65 years old) without chronic illness, testing a mobile app or an activity tracker, with any comparison, where the main outcome was a physical activity measure. Independent screening was conducted. DATA EXTRACTION AND SYNTHESIS: We conducted random effects meta-analysis and all effect sizes were transformed into standardised difference in means (SDM). We conducted exploratory metaregression with continuous and discrete moderators identified as statistically significant in subgroup analyses. MAIN OUTCOME MEASURES: Physical activity: daily step counts, min/week of moderate-to-vigorous physical activity, weekly days exercised, min/week of total physical activity, metabolic equivalents.
RESULTS: Thirty-five studies met inclusion criteria and 28 were included in the meta-analysis (n=7454 participants, 28% women). The meta-analysis showed a small-to-moderate positive effect on physical activity measures (SDM 0.350, 95% CI 0.236 to 0.465, I2=69%, T 2=0.051) corresponding to 1850 steps per day (95% CI 1247 to 2457). Interventions including text-messaging and personalisation features were significantly more effective in subgroup analyses and metaregression.
CONCLUSION: Interventions using apps or trackers seem to be effective in promoting physical activity. Longer studies are needed to assess the impact of different intervention components on long-term engagement and effectiveness. © Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  accelerometer; app; behaviour; effectiveness; physical activity

Mesh:

Year:  2020        PMID: 33355160     DOI: 10.1136/bjsports-2020-102892

Source DB:  PubMed          Journal:  Br J Sports Med        ISSN: 0306-3674            Impact factor:   13.800


  31 in total

Review 1.  Behaviour change techniques in cardiovascular disease smartphone apps to improve physical activity and sedentary behaviour: Systematic review and meta-regression.

Authors:  Kacie Patterson; Rachel Davey; Richard Keegan; Brea Kunstler; Andrew Woodward; Nicole Freene
Journal:  Int J Behav Nutr Phys Act       Date:  2022-07-07       Impact factor: 8.915

2.  Regular and App-enhanced Maintenance of Physical Activity among Latinas: A Feasibility Study.

Authors:  Andrea S Mendoza-Vasconez; Esther Solis Becerra; Nathaniel Badii; Noe Crespo; Samantha Hurst; Britta Larsen; Bess H Marcus; Elva M Arredondo
Journal:  Transl J Am Coll Sports Med       Date:  2022

3.  The Effect of Commercial Activity Tracker Based Physical Activity Intervention on Body Composition and Cardiometabolic Health Among Recent Retirees.

Authors:  Tuija Leskinen; Kristin Suorsa; Ilkka Ha Heinonen; Eliisa Löyttyniemi; Jaana Pentti; Jussi Vahtera; Sari Stenholm
Journal:  Front Aging       Date:  2021-10-29

Review 4.  The Impact of the COVID-19 Pandemic on Physical Activity, Function, and Quality of Life.

Authors:  Catherine M Said; Frances Batchelor; Gustavo Duque
Journal:  Clin Geriatr Med       Date:  2022-04-22       Impact factor: 3.529

5.  Person-specific dose-finding for a digital messaging intervention to promote physical activity.

Authors:  Sarah Hojjatinia; Sahar Hojjatinia; Constantino M Lagoa; Deborah Brunke-Reese; David E Conroy
Journal:  Health Psychol       Date:  2021-08       Impact factor: 5.556

Review 6.  Effectiveness of Smartphone-Based Physical Activity Interventions on Individuals' Health Outcomes: A Systematic Review.

Authors:  Mia A Emberson; Anna Lalande; Danielle Wang; Daniel J McDonough; Wenxi Liu; Zan Gao
Journal:  Biomed Res Int       Date:  2021-08-06       Impact factor: 3.411

7.  Impact of COVID-19 lockdown on physical activity and sedentary behaviour in Dutch cardiovascular disease patients.

Authors:  B M A van Bakel; E A Bakker; F de Vries; D H J Thijssen; T M H Eijsvogels
Journal:  Neth Heart J       Date:  2021-02-25       Impact factor: 2.380

Review 8.  The Evolution of Technology and Physical Inactivity: The Good, the Bad, and the Way Forward.

Authors:  Mary N Woessner; Alexander Tacey; Ariella Levinger-Limor; Alexandra G Parker; Pazit Levinger; Itamar Levinger
Journal:  Front Public Health       Date:  2021-05-28

9.  Large-Scale Fandom-based Gamification Intervention to Increase Physical Activity: A Quasi-experimental Study.

Authors:  Masamitsu Kamada; Hana Hayashi; Koichiro Shiba; Masataka Taguri; Naoki Kondo; I-Min Lee; Ichiro Kawachi
Journal:  Med Sci Sports Exerc       Date:  2022-01-01       Impact factor: 5.411

10.  Multidisciplinary collaborative consensus guidance statement on the assessment and treatment of fatigue in postacute sequelae of SARS-CoV-2 infection (PASC) patients.

Authors:  Joseph E Herrera; William N Niehaus; Jonathan Whiteson; Alba Azola; John M Baratta; Talya K Fleming; Soo Yeon Kim; Huma Naqvi; Sarah Sampsel; Julie K Silver; Monica Verduzco Gutierrez; Jason Maley; Eric Herman; Benjamin Abramoff
Journal:  PM R       Date:  2021-08-24       Impact factor: 2.298

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