Evidence map›Paper›PMID 27680385›Full record

ArticleGames for health journal2016

Development of A Teen-Focused Exergame.

Debbe Thompson, Dora Cantu, Madhur Rajendran, Mayur Rajendran, Tanay Bhargava, Yuting Zhang, Cheng Chen, Yan Liu, Zhigang Deng

Abstract read
In one paragraph

Article in Games for health journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

9 authors.

Debbe Thompson1 Department of Pediatrics, USDA/ARS Children's Nutrition Research Center , Baylor College of Medicine, Houston, Texas.
Dora Cantu1 Department of Pediatrics, USDA/ARS Children's Nutrition Research Center , Baylor College of Medicine, Houston, Texas.
Madhur Rajendran2 Department of Computer Science, University of Houston , Houston, Texas.
Mayur Rajendran2 Department of Computer Science, University of Houston , Houston, Texas.
Tanay Bhargava2 Department of Computer Science, University of Houston , Houston, Texas.
Yuting Zhang2 Department of Computer Science, University of Houston , Houston, Texas.
Cheng Chen2 Department of Computer Science, University of Houston , Houston, Texas.
Yan Liu1 Department of Pediatrics, USDA/ARS Children's Nutrition Research Center , Baylor College of Medicine, Houston, Texas.
Zhigang Deng2 Department of Computer Science, University of Houston , Houston, Texas.

Funding

Feasibility Study of Avatar Customization and Relatedness on Physical ActivityR21HD075048 · NICHD · UNIVERSITY OF HOUSTON · PI DENG, ZHIGANG, THOMPSON, DEBORAH I · 2013 to 2014
$408k
NICHD NIH HHS R21 HD075048
6 · The paper itself

Abstract

introductionExergames require body movement to play and may be an effective method for enhancing teen physical activity (PA). However, results have been mixed. Innovative methods are needed to develop Exergames that increase and maintain PA. Self-representational avatars, or avatars created from a digital image of an individual, may increase PA (e.g., intensity, duration) during Exergame play. This article addresses this novel idea by describing the development of an Exergame played with a self-representational avatar. MATERIALS AND

methodsTwelve- to 14-year-olds, stratified by gender, body mass index, and PA, were invited to participate in two rounds of data collection. Each round consisted of an online survey, followed by a telephone interview to ensure comprehension of survey responses. After the first round, an Exergame prototype and the system for creating the self-representational avatar were created. A second round of data was collected to obtain information with which to create a fully functional Exergame and the avatar creation system.

resultsForty-eight teens were recruited. The sample was multi-ethnic (41.7% White, 37.5% Black, 18.8% Hispanic, 2.1% Mixed/Other). Complete data were obtained on 48 teens in the first round of data collection and on 43 teens in the second round. Teens provided important information regarding preferences and expectations. Gender similarities and differences were observed.

conclusionThis research contributes to the body of knowledge regarding how to design an appealing Exergame for teens navigated by a self-representational avatar.

Indexed as

AdolescentsAvatarsExergamePhysical activitySelf Determination TheoryVirtual world

Identifiers

PMID27680385
PMCPMC5073236

What OpenQuestion holds

Textmetadata
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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.