Evidence map›Paper›PMID 34401385›Full record

ArticleInternet interventions2021

Feasibility, preliminary efficacy, and accessibility of a twitter-based social support group vs Fitbit only to decrease sedentary behavior in women.

M A Oppezzo, J A Tremmel, K Kapphahn, M Desai, M Baiocchi, M Sanders, J J Prochaska

Open access · goldAbstract read
In one paragraph

Article in Internet interventions, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 pooled it
2.9field-weighted citation impact, top 9% of its field
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

8 citing papers in PubMed, 3 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Review
  6. Article
  7. Article
  8. Article
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

7 authors at 3 institutions in 1 country.

M A OppezzoDepartment of Medicine, Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, United States of America.
J A TremmelInterventional Cardiology, Women's Heart Health at Stanford, Stanford, CA, United States of America.
K KapphahnQuantitative Science Unit, Stanford University School of Medicine, Stanford, CA, United States of America.
M DesaiQuantitative Science Unit, Stanford University School of Medicine, Stanford, CA, United States of America.
M BaiocchiEpidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, United States of America.
M SandersKaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, United States of America.
J J ProchaskaDepartment of Medicine, Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, United States of America.
Stanford University · USKaiser Permanente · USStanford Health Care · US

Funding

Tweet4Wellness: Development and RCT of Mobile Social Support Groups for Sedentary Behavior ReductionK01HL136702 · NHLBI · STANFORD UNIVERSITY · PI OPPEZZO, MARILY · 2018 to 2022
$822k
Move Often eVery Day (MOV'D): An occupationally-tailored, remotely-delivered, socially-supported short exercise break intervention to decrease sedentary behavior in receptionist office staffR34HL166858 · NHLBI · STANFORD UNIVERSITY · PI OPPEZZO, MARILY · 2023 to 2025
$695k
NHLBI NIH HHS K01 HL136702NHLBI NIH HHS R34 HL166858
6 · The paper itself

Abstract

backgroundHealth behavior change interventions delivered by social media allow for real-time, dynamic interaction, peer social support, and experimenter-provided content.

aimsWe tested the feasibility, acceptability, and preliminary efficacy of a novel Twitter-based walking break intervention with daily behavior change strategies and prompts for social support, combined with a Fitbit, vs. Fitbit alone.

methodsIn a 2-group pilot, 45 sedentary women from a heart clinic were randomized to Twitter + Fitbit activity tracker (Tweet4Wellness, n = 23) or Fitbit-only (control, n = 22). All received a Fitbit and 13 weeks of tailored weekly step goals. Tweet4Wellness consisted of a private Twitter support group, with daily automated behavior change "tweets" informed by behavior change theory, and encouragement to communicate within the group. Feasibility outcomes included recruitment and enrollment numbers, implementation challenges, and number and type of help requests from participants throughout the study period. Preliminary efficacy outcomes provided by Fitbit data were sedentary minutes, number of hours with >250 steps, maximum sitting bout, weighted sedentary median bout length, total steps, intensity minutes (>3.0 METS), and ratio of time spent sitting-to-moving. Acceptability outcomes included level of Twitter participation within Tweet4Wellness, and Likert scale plus open-ended survey questions on enjoyment and perceived effectiveness of intervention components. Survey data on acceptability of the features of the intervention were collected at 13 weeks (end-of-treatment [EOT]) and 22 weeks (follow-up).

resultsThe study was feasible, with addressable implementation challenges. Tweet4Wellness participants changed significantly from baseline to EOT relative to control participants on number of active hours p = .018, total steps p = .028, and ratio of sitting-to-moving, p = .014. Only sitting-to-moving was significant at follow-up (p = .047). Among Tweet4Wellness participants, each tweet sent during treatment was associated with a 0.11 increase in active hours per day (p = .04) and a 292-step increase per day (p < .001). Tweet4Wellness participants averaged 54.8 (SD = 35.4) tweets, totaling 1304 tweets, and reported liking the accountability and peer support provided by the intervention.

conclusionA Twitter-delivered intervention for promoting physical activity among inactive women from a heart clinic was feasible, acceptable, and demonstrated preliminary efficacy in increasing daily active hours, daily total steps, and the ratio of sitting-to-moving from pre to post for the intervention compared with the control. Lessons learned from this pilot suggest that the next study should expand the recruitment pool, refine the intervention to increase group engagement, and select active hours, total steps, and ratio of sitting-to-movement as primary sedentary behavior measures.

Identifiers

PMID34401385
PMCPMC8350596
OpenAlexW3177570947

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.