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Independent screening was conducted.<\/jats:p><\/jats:sec><jats:sec><jats:title>Data extraction and synthesis<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Main outcome measures<\/jats:title><jats:p>Physical activity: daily step counts, min\/week of moderate-to-vigorous physical activity, weekly days exercised, min\/week of total physical activity, metabolic equivalents.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>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%\u2009CI 0.236 to 0.465, I<jats:sup>2<\/jats:sup>=69%,<jats:italic>T<\/jats:italic><jats:sup>2<\/jats:sup>=0.051) corresponding to 1850 steps per day (95%\u2009CI 1247 to 2457). Interventions including text-messaging and personalisation features were significantly more effective in subgroup analyses and metaregression.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec>","DOI":"10.1136\/bjsports-2020-102892","type":"journal-article","created":{"date-parts":[[2020,12,22]],"date-time":"2020-12-22T23:17:25Z","timestamp":1608679045000},"page":"422-432","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":319,"title":["Do smartphone applications and activity trackers increase physical activity in adults? 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