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      Behavior Change Techniques Included in Reports of Social Media Interventions for Promoting Health Behaviors in Adults: Content Analysis Within a Systematic Review

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          Abstract

          Background

          Social media are an increasingly commonly used platform for delivering health promotion interventions. Although recent research has focused on the effectiveness of social media interventions for health promotion, very little is known about the optimal content within such interventions, and the active ingredients to promote health behavior change using social media are not clear. Identifying which behavior change techniques (BCTs) are reported may help to clarify the content of interventions using a generalizable terminology that may facilitate future intervention development.

          Objective

          This study aimed to identify which BCTs are reported in social media interventions for promoting health behavior change in adults.

          Methods

          We included 71 studies conducted with adult participants (aged ≥18 years) and for which social media intervention was considered interactive in a Cochrane review of the effectiveness of such interventions. We developed a coding manual informed by the Behavior Change Technique Taxonomy version 1 (BCTTv1) to identify BCTs in the included studies. We identified BCTs in all study arms (including control) and described BCTs in the group and self-directed components of studies. We characterized the dose of delivery for each BCT by low and high intensity. We used descriptive analyses to characterize the reported BCTs.

          Results

          Our data consisted of 71 studies published from 2001 to 2017, mainly conducted in high-income countries (n=65). Most studies (n=31) used tailored, interactive websites to deliver the intervention; Facebook was the most used mainstream platform. In developing our coding manual, we adapted some BCTTv1 instructions to better capture unique nuances of how BCTs were operationalized in social media with respect to likes, retweets, smiles, congratulations, and badges. Social support (unspecified), instruction on how to perform the behavior, and credible source were most frequently identified BCTs in intervention arms of studies and group-delivery settings, whereas instruction on how to perform the behavior was most commonly applied in self-directed components of studies, control arms, and individual participant settings. Instruction on how to perform the behavior was also the most frequently reported BCT in both intervention and control arms simultaneously. Instruction on how to perform the behavior, social support (unspecified), self-monitoring of behavior, information about health consequences, and credible source were identified in the top 5 BCTs delivered with the highest intensity.

          Conclusions

          This study within a review provides a detailed description of the BCTs and their dose to promote behavior change in web-based, interactive social media interventions. Clarifying active ingredients in social media interventions and the intensity of their delivery may help to develop future interventions that can more clearly build upon the existing evidence.

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          Most cited references79

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          Social media-delivered sexual health intervention: a cluster randomized controlled trial.

          Youth are using social media regularly and represent a group facing substantial risk for sexually transmitted infection (STI). Although there is evidence that the Internet can be used effectively in supporting healthy sexual behavior, this has not yet extended to social networking sites. To determine whether STI prevention messages delivered via Facebook are efficacious in preventing increases in sexual risk behavior at 2 and 6 months. Cluster RCT, October 2010-May 2011. Individuals (seeds) recruited in multiple settings (online, via newspaper ads and face-to-face) were asked to recruit three friends, who in turn recruited additional friends, extending three waves from the seed. Seeds and waves of friends were considered networks and exposed to either the intervention or control condition. Exposure to Just/Us, a Facebook page developed with youth input, or to control content on 18-24 News, a Facebook page with current events for 2 months. Condom use at last sex and proportion of sex acts protected by condoms. Repeated measures of nested data were used to model main effects of exposure to Just/Us and time by treatment interaction. A total of 1578 participants enrolled, with 14% Latino and 35% African-American; 75% of participants completed at least one study follow-up. Time by treatment effects were observed at 2 months for condom use (intervention 68% vs control 56%, p=0.04) and proportion of sex acts protected by condoms (intervention 63% vs control 57%, p=0.03) where intervention participation reduced the tendency for condom use to decrease over time. No effects were seen at 6 months. Social networking sites may be venues for efficacious health education interventions. More work is needed to understand what elements of social media are compelling, how network membership influences effects, and whether linking social media to clinical and social services can be beneficial. This study is registered at www.clinicaltrials.govNCT00725959. Copyright © 2012 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
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            A social media-based physical activity intervention: a randomized controlled trial.

            Online social networks, such as Facebook™, have extensive reach, and they use technology that could enhance social support, an established determinant of physical activity. This combination of reach and functionality makes online social networks a promising intervention platform for increasing physical activity. To test the efficacy of a physical activity intervention that combined education, physical activity monitoring, and online social networking to increase social support for physical activity compared to an education-only control. RCT. Students (n=134) were randomized to two groups: education-only controls receiving access to a physical activity-focused website (n=67) and intervention participants receiving access to the same website with physical activity self-monitoring and enrollment in a Facebook group (n=67). Recruitment and data collection occurred in 2010 and 2011; data analyses were performed in 2011. Female undergraduate students at a large southeastern public university. Intervention participants were encouraged through e-mails, website instructions, and moderator communications to solicit and provide social support related to increasing physical activity through a physical activity-themed Facebook group. Participants received access to a dedicated website with educational materials and a physical activity self-monitoring tool. The primary outcome was perceived social support for physical activity; secondary outcomes included self-reported physical activity. Participants experienced increases in social support and physical activity over time but there were no differences in perceived social support or physical activity between groups over time. Facebook participants posted 259 times to the group. Two thirds (66%) of intervention participants completing a post-study survey indicated that they would recommend the program to friends. Use of an online social networking group plus self-monitoring did not produce greater perceptions of social support or physical activity as compared to education-only controls. Given their promising features and potential reach, efforts to further understand how online social networks can be used in health promotion should be pursued. This study is registered at clinicaltrials.govNCT01421758. Copyright © 2012 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
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              Using Facebook and text messaging to deliver a weight loss program to college students.

              Between 31 and 35% of the college-aged population is overweight or obese, yet few weight loss trials for this population have been conducted. This study examined the feasibility, acceptability, and initial efficacy of a technology-based 8-week weight loss intervention among college students. Students (N = 52) were randomly assigned to one of the three arms: Facebook (n = 17); Facebook Plus text messaging and personalized feedback (n = 18); Waiting List control (n = 17), with assessments at 4 weeks and 8 weeks (post-treatment). Participants were 20.47 ± 2.19 years old, 86.45 ± 17.11 kg, with a body mass index of 31.36 ± 5.3 kg/m(2) . Participants were primarily female (86.5%), and the sample was racially diverse (57.7% Caucasian, 30.8% African American, 5.8% Hispanic, and 5.7% other races). The primary outcome was weight loss after 8 weeks (post-treatment); 96.0% of the participants completed this assessment. At 8 weeks, the Facebook Plus group had significantly greater weight loss (-2.4 ± 2.5 kg) than the Facebook (-0.63 ± 2.4 kg) and Waiting List (-0.24 ± 2.6 kg) (both Ps < 0.05). Weight change at 8 weeks was not significantly different between the Facebook and Waiting List groups. Results show preliminary efficacy and acceptability of the two active intervention arms (97.0% found the program helpful, 81.3% found the videos/handouts helpful, and 100% would recommend the program to others). Results indicate the potential for an innovative weight loss intervention that uses technology platforms (Facebook and text messaging) that are frequently used and already integrated into the cultural life of college students. Copyright © 2012 The Obesity Society.
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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J. Med. Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                June 2020
                11 June 2020
                : 22
                : 6
                : e16002
                Affiliations
                [1 ] Bruyère Research Institute University of Ottawa Ottawa, ON Canada
                [2 ] Faculty of Medicine School of Epidemiology and Public Health University of Ottawa Ottawa, ON Canada
                [3 ] Department of Population Medicine University of Guelph Guelph, ON Canada
                [4 ] Dalla Lana School of Public Health University of Toronto Toronto, ON Canada
                [5 ] Cochrane Musculoskeletal Group Ottawa Hospital Research Institute Ottawa, ON Canada
                [6 ] Department of Medicine Faculty of Medicine University of Ottawa Ottawa, ON Canada
                [7 ] Clinical Epidemiology Program Ottawa Health Research Institute Ottawa, ON Canada
                [8 ] School of Psychology Faculty of Social Sciences University of Ottawa Ottawa, ON Canada
                Author notes
                Corresponding Author: Rosiane Simeon rsime006@ 123456uottawa.ca
                Author information
                https://orcid.org/0000-0001-7411-6194
                https://orcid.org/0000-0001-6420-887X
                https://orcid.org/0000-0003-3296-8668
                https://orcid.org/0000-0002-9696-8029
                https://orcid.org/0000-0002-9212-2739
                https://orcid.org/0000-0002-3985-5335
                https://orcid.org/0000-0002-5824-584X
                https://orcid.org/0000-0002-1605-3911
                https://orcid.org/0000-0001-5062-0556
                https://orcid.org/0000-0002-3609-944X
                https://orcid.org/0000-0002-2132-0703
                https://orcid.org/0000-0002-5238-7097
                Article
                v22i6e16002
                10.2196/16002
                7317628
                32525482
                a1700982-c1cc-465d-b75e-91a160f8d079
                ©Rosiane Simeon, Omar Dewidar, Jessica Trawin, Stephanie Duench, Heather Manson, Jordi Pardo Pardo, Jennifer Petkovic, Janet Hatcher Roberts, Peter Tugwell, Manosila Yoganathan, Justin Presseau, Vivian Welch. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 11.06.2020.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 26 August 2019
                : 7 October 2019
                : 26 November 2019
                : 22 March 2020
                Categories
                Review
                Review

                Medicine
                health behavior,taxonomy,social media,health promotion,public health
                Medicine
                health behavior, taxonomy, social media, health promotion, public health

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