Posts, pics, or polls? Which post type generates the greatest engagement in a Facebook physical activity intervention?

Edney, Sarah; Looyestyn, Jemma; Ryan, Jillian; Kernot, Jocelyn; Maher, Carol

doi:10.1093/tbm/iby006

Cited by 17 publications

(18 citation statements)

References 18 publications

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“…User engagement is essential for the success of Web-based interventions [15], which can be influenced by content, moderators, and users themselves. A study examining user engagement between different types of Facebook posts (eg, pictures, polls, multimedia, and questions) found that posts requiring a simple response, particularly polls, generated the greatest engagement [35]. Similarly, in our study, moderator-initiated posts that offered simple questions and moderator follow-up comments did incite a response from users, suggesting that users felt comfortable engaging with content sourced directly from the moderator.…”

Section: Discussionsupporting

confidence: 59%

Role of Moderators on Engagement of Adolescents With Depression or Anxiety in a Social Media Intervention: Content Analysis of Web-Based Interactions

et al. 2019

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Background The Supporting Our Valued Adolescents (SOVA) intervention aims to use a moderated social media website to encourage peer discussion about negative health beliefs, which may prevent treatment uptake. Web moderators with a background in behavioral health are used to facilitate peer conversation to promote a sense of community, provide social support, and ensure safety. Objective Although moderation is a core component of this intervention, little is known on best practices for moderators to ensure safety while encouraging engagement. This study sought to describe interactions between moderators and peer users and understand moderator experiences through individual interviews. Methods Adolescents and young adults aged 14 to 26 years with depression or anxiety history were recruited for a usability study of the SOVA intervention. During this study, 14 moderators were trained to regularly review comments to blog posts for safety, facilitate conversation, and correct misinformation. A total of 110 blog posts and their associated comments were extracted and coded using a codebook based on items from the supportive accountability model and a peer social support analysis. Closing interviews with 12 moderators assessing their experience of moderating were conducted, recorded, and transcribed. Blog post text and comments as well as transcripts of moderator interviews were assessed using a thematic analysis approach, and blog posts were examined for trends in content of moderator comments comparing blog posts with differences in comment contributor order. Results There were no safety concerns during the study, and moderators only intervened to remove identifiable information. Web moderators exhibited elements of supportive accountability (such as being perceived as experts and using verbal rewards as well as offering informational and emotional support). When the moderators provided the last comment under a blog post, thereby potentially ending contribution by users, they were at times found to be commenting about their own experiences. Moderators interviewed after completing their role expressed challenges in engaging users. A cohort of moderators who received more extensive training on supportive accountability and peer social support felt their ability to engage users improved because of the training. Conclusions Moderators of a Web-based support site for adolescents with depression or anxiety were able to ensure safety while promoting user engagement. Moderators can elicit user engagement by offering gratitude and encouragement to users, asking users follow-up questions, and limiting their own opinions and experiences when responding to comments.

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Section: Discussionsupporting

confidence: 59%

Role of Moderators on Engagement of Adolescents With Depression or Anxiety in a Social Media Intervention: Content Analysis of Web-Based Interactions

et al. 2019

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“…Poll questions were less well received. This finding is in contrast to Edney et al ( 28 ), who described that Facebook posts with simple poll questions generated the highest engagement in a physical activity intervention. Lack of anonymity (e.g., the high proportion of participants who knew each other in any given community) could partially explain why Facebook posts containing polls/surveys were less well received in our study.…”

Section: Discussioncontrasting

confidence: 99%

Use of Text Messaging and Facebook Groups to Support the Healthy Children, Strong Families 2 Healthy Lifestyle Intervention for American Indian Families

Tomayko

Webber

Cronin

et al. 2021

Current Developments in Nutrition

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Background Few obesity interventions have been developed for American Indian (AI) families despite the disproportionate risk for obesity experienced within AI communities. The emergence of mobile technologies to enhance intervention delivery may particularly benefit AI communities, many of which are hard-to-reach and underserved. Objective This study aimed to assess the use and perceptions of text messaging and Facebook to support delivery of the Healthy Children, Strong Families 2 (HCSF2) mailed healthy lifestyle/obesity prevention intervention and discuss lessons learned regarding intervention support via these platforms among AI participants. Methods From among AI families with young children (2–5 years old), 450 adult/child dyads were recruited from five rural and urban communities for a year-long intervention. Intervention content was delivered by mail and supported by text messaging and optional Facebook groups. Participants provided feedback on text message and Facebook components post-intervention, and Facebook analytic data were tracked. Results Self-report feedback indicated high satisfaction with both text messaging and Facebook, with tangible content (e.g., recipes, physical activity ideas) cited as most useful. Overall, participants reported higher satisfaction with and perceived efficacy of Facebook content compared to text messaging. Analytic data indicate the optional HCSF2 Facebook groups were joined by 67.8% of adult participants. Among those who joined, 78.4% viewed, 50.8% “liked”, and 22.6% commented on one or more post. Engagement levels differed by urban-rural status, with more urban participants “liking” (P = 0.01) and commenting on posts (P = 0.01). Of note, nearly 1/3 of participants reported changing phone nubsmbers during the intervention. Conclusions This paper demonstrates high satisfaction regarding mobile delivery of HCSF2 intervention support components. Best practices and challenges in utilizing different mobile technologies to promote wellness among AI families are discussed, with particular focus on urban-rural differences. Future mobile-based interventions should consider the context of unstable technology maintenance, especially in low-resource communities. Clinicaltrials.gov ID: NCT01776255

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“…Detailed characteristics of each study (n=19) [22,24,[40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56], and each measure of association, are provided in Multimedia Appendix 5. All 19 studies (n=7776 participants) were of physical activity measures, with no study using measures of sedentary behavior.…”

Section: Study Characteristicsmentioning

confidence: 99%

Associations Between Digital Health Intervention Engagement, Physical Activity, and Sedentary Behavior: Systematic Review and Meta-analysis

Mclaughlin¹,

Delaney²,

Hall³

et al. 2021

J Med Internet Res

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Background The effectiveness of digital health interventions is commonly assumed to be related to the level of user engagement with the digital health intervention, including measures of both digital health intervention use and users’ subjective experience. However, little is known about the relationships between the measures of digital health intervention engagement and physical activity or sedentary behavior. Objective This study aims to describe the direction and strength of the association between engagement with digital health interventions and physical activity or sedentary behavior in adults and explore whether the direction of association of digital health intervention engagement with physical activity or sedentary behavior varies with the type of engagement with the digital health intervention (ie, subjective experience, activities completed, time, and logins). Methods Four databases were searched from inception to December 2019. Grey literature and reference lists of key systematic reviews and journals were also searched. Studies were eligible for inclusion if they examined a quantitative association between a measure of engagement with a digital health intervention targeting physical activity and a measure of physical activity or sedentary behavior in adults (aged ≥18 years). Studies that purposely sampled or recruited individuals on the basis of pre-existing health-related conditions were excluded. In addition, studies were excluded if the individual engaging with the digital health intervention was not the target of the physical activity intervention, the study had a non–digital health intervention component, or the digital health interventions targeted multiple health behaviors. A random effects meta-analysis and direction of association vote counting (for studies not included in meta-analysis) were used to address objective 1. Objective 2 used vote counting on the direction of the association. Results Overall, 10,653 unique citations were identified and 375 full texts were reviewed. Of these, 19 studies (26 associations) were included in the review, with no studies reporting a measure of sedentary behavior. A meta-analysis of 11 studies indicated a small statistically significant positive association between digital health engagement (based on all usage measures) and physical activity (0.08, 95% CI 0.01-0.14, SD 0.11). Heterogeneity was high, with 77% of the variation in the point estimates explained by the between-study heterogeneity. Vote counting indicated that the relationship between physical activity and digital health intervention engagement was consistently positive for three measures: subjective experience measures (2 of 3 associations), activities completed (5 of 8 associations), and logins (6 of 10 associations). However, the direction of associations between physical activity and time-based measures of usage (time spent using the intervention) were mixed (2 of 5 associations supported the hypothesis, 2 were inconclusive, and 1 rejected the hypothesis). Conclusions The findings indicate a weak but consistent positive association between engagement with a physical activity digital health intervention and physical activity outcomes. No studies have targeted sedentary behavior outcomes. The findings were consistent across most constructs of engagement; however, the associations were weak.

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Posts, pics, or polls? Which post type generates the greatest engagement in a Facebook physical activity intervention?

Cited by 17 publications

References 18 publications

Role of Moderators on Engagement of Adolescents With Depression or Anxiety in a Social Media Intervention: Content Analysis of Web-Based Interactions

Role of Moderators on Engagement of Adolescents With Depression or Anxiety in a Social Media Intervention: Content Analysis of Web-Based Interactions

Use of Text Messaging and Facebook Groups to Support the Healthy Children, Strong Families 2 Healthy Lifestyle Intervention for American Indian Families

Associations Between Digital Health Intervention Engagement, Physical Activity, and Sedentary Behavior: Systematic Review and Meta-analysis

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