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Do smartphone applications and activity trackers increase physical activity in adults? Systematic review, meta-analysis and metaregression
by
Gabarron, Elia
, Antunes, Maria L
, Coiera, Enrico
, Bates, David W
, Kocaballi, Baki
, Tong, Huong Ly
, Heleno, Bruno
, Rodrigues, David
, Dao, Kim Phuong
, Neves, Gisela Costa
, Neves, Ana Luisa
, Chahwan, Bahia
, Laranjo, Liliana
, Ding, Ding
, Quiroz, Juan C
in
accelerometer
/ app
/ Automation
/ behaviour
/ Bias
/ Chronic illnesses
/ Customization
/ Disease
/ effectiveness
/ Exercise
/ Feedback
/ Gamification
/ Intervention
/ Meta-analysis
/ physical activity
/ Retention
/ Review
/ Smartphones
/ Systematic review
2021
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Do smartphone applications and activity trackers increase physical activity in adults? Systematic review, meta-analysis and metaregression
by
Gabarron, Elia
, Antunes, Maria L
, Coiera, Enrico
, Bates, David W
, Kocaballi, Baki
, Tong, Huong Ly
, Heleno, Bruno
, Rodrigues, David
, Dao, Kim Phuong
, Neves, Gisela Costa
, Neves, Ana Luisa
, Chahwan, Bahia
, Laranjo, Liliana
, Ding, Ding
, Quiroz, Juan C
in
accelerometer
/ app
/ Automation
/ behaviour
/ Bias
/ Chronic illnesses
/ Customization
/ Disease
/ effectiveness
/ Exercise
/ Feedback
/ Gamification
/ Intervention
/ Meta-analysis
/ physical activity
/ Retention
/ Review
/ Smartphones
/ Systematic review
2021
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Do smartphone applications and activity trackers increase physical activity in adults? Systematic review, meta-analysis and metaregression
by
Gabarron, Elia
, Antunes, Maria L
, Coiera, Enrico
, Bates, David W
, Kocaballi, Baki
, Tong, Huong Ly
, Heleno, Bruno
, Rodrigues, David
, Dao, Kim Phuong
, Neves, Gisela Costa
, Neves, Ana Luisa
, Chahwan, Bahia
, Laranjo, Liliana
, Ding, Ding
, Quiroz, Juan C
in
accelerometer
/ app
/ Automation
/ behaviour
/ Bias
/ Chronic illnesses
/ Customization
/ Disease
/ effectiveness
/ Exercise
/ Feedback
/ Gamification
/ Intervention
/ Meta-analysis
/ physical activity
/ Retention
/ Review
/ Smartphones
/ Systematic review
2021
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Do smartphone applications and activity trackers increase physical activity in adults? Systematic review, meta-analysis and metaregression
Journal Article
Do smartphone applications and activity trackers increase physical activity in adults? Systematic review, meta-analysis and metaregression
2021
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Overview
ObjectiveTo determine the effectiveness of physical activity interventions involving mobile applications (apps) or trackers with automated and continuous self-monitoring and feedback.DesignSystematic review and meta-analysis.Data sourcesPubMed and seven additional databases, from 2007 to 2020.Study selectionRandomised 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 synthesisWe 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 measuresPhysical activity: daily step counts, min/week of moderate-to-vigorous physical activity, weekly days exercised, min/week of total physical activity, metabolic equivalents.ResultsThirty-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.ConclusionInterventions 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.
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