Evidence map›Paper›PMID 30530449›Full record

ArticleJournal of medical Internet research2018

Creating Engaging Health Promotion Campaigns on Social Media: Observations and Lessons From Fitbit and Garmin.

Sarah Edney, Svetlana Bogomolova, Jillian Ryan, Tim Olds, Ilea Sanders, Carol Maher

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  19. Is Social Media Spreading Misinformation on Exercise and Health in Brazil?International journal of environmental research and public health · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sarah EdneyAlliance for Research in Exercise, Nutrition and Activity, University of South Australia, Adelaide, Australia.ORCID 0000-0002-3925-517X
Svetlana BogomolovaEhrenberg-Bass Institute for Marketing Science, University of South Australia, Adelaide, Australia.ORCID 0000-0003-4449-6514
Jillian RyanCommonwealth Scientific and Industrial Research Organisation, Adelaide, Australia.ORCID 0000-0003-0655-3047
Tim OldsAlliance for Research in Exercise, Nutrition and Activity, University of South Australia, Adelaide, Australia.ORCID 0000-0001-6894-5519
Ilea SandersAlliance for Research in Exercise, Nutrition and Activity, University of South Australia, Adelaide, Australia.ORCID 0000-0002-7527-2057
Carol MaherAlliance for Research in Exercise, Nutrition and Activity, University of South Australia, Adelaide, Australia.ORCID 0000-0002-8676-0224

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe popularity and reach of social media make it an ideal delivery platform for interventions targeting health behaviors, such as physical inactivity. Research has identified a dose-response relationship whereby greater engagement and exposure are positively associated with intervention effects, hence enhancing engagement will maximize the potential of these interventions.

objectiveThis study examined the social media activity of successful commercial activity tracker brands to understand which creative elements (message content and design) they use in their communication to their audience, which social media platforms attract the most engagement, and which creative elements prompted the most engagement.

methodsPosts (n=509) made by Fitbit and Garmin on Facebook, Twitter, and Instagram over a 3-month period were coded for the presence of creative elements. User engagement regarding the total number of likes, comments, or shares per post was recorded. Negative binomial regression analyses were used to identify creative elements associated with higher engagement.

resultsEngagement on Instagram was 30-200 times higher than on Facebook, or Twitter. Fitbit and Garmin tended to use different creative elements from one another. A higher engagement was achieved by posts featuring an image of the product, highlighting new product features and with themes of self-improvement (P<.01).

conclusionsFindings suggest that Instagram may be a particularly promising platform for delivering engaging health messaging. Health messages which incorporate inspirational imagery and focus on a tangible product appear to achieve the highest engagement. Fitbit and Garmin employed difference creative elements, which is likely to reflect differences in their target markets. This underscores the importance of market segmentation in health messaging campaigns.

Indexed as

Fitness TrackersSocial MediaCommunicationFemaleHealth BehaviorHealth PromotionHumansMaleMotor Activityengagementphysical activitysocial media

Identifiers

PMID30530449
PMCPMC6305879

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.