Evidence map›Paper›PMID 34631377›Full record

ArticleBehavior analysis in practice2021

Using Self-Management and Social Media to Increase Steps in Sedentary College Students.

Hafsa Junaid, Andrew J Bulla, Monique Benjamin, Talia Wind, Dziyana Nazaruk

Open access · bronzeAbstract read
In one paragraph

Article in Behavior analysis in practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

Hafsa JunaidHealth Policy and Community Health, Georgia Southern University, Armstrong, Savannah, GA 31419 USA.ORCID 0000-0002-2369-1428
Andrew J BullaHealth Policy and Community Health, Georgia Southern University, Armstrong, Savannah, GA 31419 USA.
Monique BenjaminHealth Policy and Community Health, Georgia Southern University, Armstrong, Savannah, GA 31419 USA.
Talia WindHealth Policy and Community Health, Georgia Southern University, Armstrong, Savannah, GA 31419 USA.
Dziyana NazarukHealth Policy and Community Health, Georgia Southern University, Armstrong, Savannah, GA 31419 USA.
Armstrong Atlantic State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical inactivity increases the risk of many chronic diseases. Approximately 40% to 50% of college students are physically inactive. Research suggests that when students establish physical activity routines during their college careers, they have a greater chance of maintaining those specific behaviors over time. The current study sought to increase steps in sedentary college students by using a self-management intervention consisting of self-monitoring, goal setting, social media (Instagram), weekly meetings, and social feedback. Researchers used a multiple-baseline across-participants design with an embedded reversal to assess the effects of the packaged intervention. The intervention increased the physical activity levels of 3 of the 4 participants. The results of the current study suggest that multiple strategies such as the use of technological innovations, goal setting, and social media feedback should be considered and leveraged in programs aimed at increasing the level of physical activity among college students.

Indexed as

Fitbitgoal settingIncreasing stepsPhysical activityPrecision teachingSedentary college studentsSelf-managementSocial mediaStandard celeration chart

Identifiers

PMID34631377
PMCPMC8458534
OpenAlexW3051361293

What OpenQuestion holds

Textmetadata
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.