Evidence map›Paper›PMID 25584084›Full record

ArticleTranslational behavioral medicine2014

Varying social media post types differentially impacts engagement in a behavioral weight loss intervention.

Sarah B Hales, Charis Davidson, Gabrielle M Turner-McGrievy

Registry-linked trialAbstract read
In one paragraph

Article in Translational behavioral medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03961061 (Increased Monitoring of Physical Activity and Calories With Technology), which is not on this map. Cited by 63 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 3 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.

NCT03961061 nacompletednot on this mapstarted 2020, after this paper: background citation

Increased Monitoring of Physical Activity and Calories With Technology

TypeinterventionalSponsorWake Forest University Health SciencesRan2020 to 2022Enrolled28ConditionsWeight Change, Body, Behavior, Health, Obesity, Childhood, Parent-Child RelationsArmsBrenner mFIT (standard care), Brenner mFIT (standard care plus mobile health components)
3 · Its place in the literature

Who cites it

63 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  7. Connectedness Based on Shared Engagement Predicts Remote Biochemically Verified Quit Status Within Smoking Cessation Treatment Groups on Facebook.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
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3 more citing papers are in PubMed but not listed here.

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

3 authors.

Sarah B HalesDepartment of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC USA.
Charis DavidsonDepartment of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC USA.
Gabrielle M Turner-McGrievyDepartment of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to examine whether different types of posts differentially affect participant engagement and if engagement with social media enhances weight loss. Data are a subanalysis from a randomized weight loss study with a 4-month follow-up support period via private Facebook groups and monthly meetings. Counselors posted five different post types/week based on social cognitive theory (weight-related, recipes, nutrition information, poll votes, or requests for suggestions). Types of participant engagement (likes, comments/poll votes, and views) were assessed. Poll votes were the most engaging (mean number of votes or comments/poll 14.6 ± 3.4, P < 0.01) followed by suggestions (9.1 ± 2.7 posts, P < 0.01) and weight-related posts (7.4 ± 3.1 posts, P < 0.01). Engagement with Facebook was significantly associated with weight loss during the 4-month maintenance period (B = -0.09, P = 0.04). The findings provide evidence for ways to provide social support during weight loss interventions using remote methodology.

Indexed as

eHealthmHealthSocial mediaSocial supportWeight loss

Identifiers

PMID25584084
PMCPMC4286554

What OpenQuestion holds

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Registered trials

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.