George Mita1, Cliona Ni Mhurchu2, Andrew Jull2. 1. G. Mita is with the School of Population Health, University of Auckland, New Zealand. C. Ni Mhurchu is with the National Institute for Health Innovation, University of Auckland, New Zealand. A Jull is with the School of Nursing and National Institute for Health Innovation, University of Auckland, New Zealand. gmit015@aucklanduni.ac.nz. 2. G. Mita is with the School of Population Health, University of Auckland, New Zealand. C. Ni Mhurchu is with the National Institute for Health Innovation, University of Auckland, New Zealand. A Jull is with the School of Nursing and National Institute for Health Innovation, University of Auckland, New Zealand.
Abstract
OBJECTIVE: The primary aim of the current study was to synthesize evidence of the effect of social media use compared with no social media use as part of interventions to reduce risk factors for noncommunicable diseases. DATA SOURCES: Databases were searched up to June 10, 2014, using medical subject headings. A secondary aim of this study was to assess the effectiveness of social media use compared with no social media use in reducing the risk factors for noncommunicable diseases, stratifying the results by the extent of bias on outcomes, by social media use alone, and by the levels of social presence and media richness. STUDY SELECTION: Sixteen trials (n=10,711 participants) met the inclusion criteria, but interventions mostly used social media with low levels of media richness and presence (e.g., discussion boards, bulletin boards). DATA SYNTHESIS: Meta-analysis of all trials showed no significant differences (standardized mean difference [SMD] -0.14; 95%CI -0.28 to 0.01), with similar findings for physical activity (SMD 0.07; 95%CI -0.25 to 0.38), body weight (SMD 0.07; 95%CI -0.17 to 0.20), and fruit and vegetable intake (SMD 0.39; 95%CI -0.11 to 0.89). Trials assessing social media interventions aimed at modifying risk factors for noncommunicable diseases showed that social media use improved the primary outcomes, but the overall quality of the included studies limits the generalizability of these findings. CONCLUSION: Further trials are warranted, especially to isolate the effect of social media use and to fully evaluate the effect of the social presence and media richness of social media platforms.
OBJECTIVE: The primary aim of the current study was to synthesize evidence of the effect of social media use compared with no social media use as part of interventions to reduce risk factors for noncommunicable diseases. DATA SOURCES: Databases were searched up to June 10, 2014, using medical subject headings. A secondary aim of this study was to assess the effectiveness of social media use compared with no social media use in reducing the risk factors for noncommunicable diseases, stratifying the results by the extent of bias on outcomes, by social media use alone, and by the levels of social presence and media richness. STUDY SELECTION: Sixteen trials (n=10,711 participants) met the inclusion criteria, but interventions mostly used social media with low levels of media richness and presence (e.g., discussion boards, bulletin boards). DATA SYNTHESIS: Meta-analysis of all trials showed no significant differences (standardized mean difference [SMD] -0.14; 95%CI -0.28 to 0.01), with similar findings for physical activity (SMD 0.07; 95%CI -0.25 to 0.38), body weight (SMD 0.07; 95%CI -0.17 to 0.20), and fruit and vegetable intake (SMD 0.39; 95%CI -0.11 to 0.89). Trials assessing social media interventions aimed at modifying risk factors for noncommunicable diseases showed that social media use improved the primary outcomes, but the overall quality of the included studies limits the generalizability of these findings. CONCLUSION: Further trials are warranted, especially to isolate the effect of social media use and to fully evaluate the effect of the social presence and media richness of social media platforms.
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