Evidence map›Paper›PMID 30157819›Full record

ArticleBMC public health2018

Memphis FitKids: implementing a mobile-friendly web-based application to enhance parents' participation in improving child health.

Gerhild Ullmann, Satish K Kedia, Ramin Homayouni, Cem Akkus, Michael Schmidt, Lisa M Klesges, Kenneth D Ward

Abstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

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

Gerhild UllmannSocial and Behavioral Sciences, School of Public Health, University of Memphis, 3825 Desoto Ave, Memphis, TN, 38152, USA. ullmann1@memphis.edu.ORCID http://orcid.org/0000-0003-0023-5531
Satish K KediaSocial and Behavioral Sciences, School of Public Health, University of Memphis, 3825 Desoto Ave, Memphis, TN, 38152, USA.
Ramin HomayouniBioinformatics, Biological Sciences, College of Arts and Sciences, University of Memphis, Memphis, TN, USA.
Cem AkkusSocial and Behavioral Sciences, School of Public Health, University of Memphis, 3825 Desoto Ave, Memphis, TN, 38152, USA.
Michael SchmidtArt, College of Communication and Fine Arts, University of Memphis, Memphis, TN, USA.
Lisa M KlesgesEpidemiology, School of Public Health, University of Memphis, Memphis, TN, USA.
Kenneth D WardSocial and Behavioral Sciences, School of Public Health, University of Memphis, 3825 Desoto Ave, Memphis, TN, 38152, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChild obesity is a major public health challenge, increasing the risk of chronic medical conditions such as type 2 diabetes, metabolic syndrome, and hypertension. Among U.S. states, Tennessee has one of the highest rates of child obesity. Emerging communication technologies can help to deliver highly disseminable population-level interventions to improve health behavior. The aim of this paper is to report the implementation and the evaluation of the reach of Memphis FitKids, a web-based application, intended to promote healthy behaviors for families and children.

methodsA community-level demonstration project, Memphis FitKids, was developed and implemented in Tennessee's Greater Memphis Area. This application ( www.memphisfitkids.org ) was designed for parents to assess their children's obesity risk through determinants such as weight, diet, physical activity, screen time, and sleep adequacy. A built-in "FitCheck" tool used this collected information to create a report with tailored recommendations on how to make healthy changes. A Geographic Information Systems component was implemented to suggest low-cost neighborhood resources that support a healthy lifestyle. A social marketing framework was used to develop and implement FitKids, and a Community Advisory Board with representatives from community partners (e.g., the YMCA of Memphis, the Pink Palace Family of Museums, and the Memphis Public Library) supported the implementation of the project. Five kiosks distributed in the community served as public access points to provide a broad reach across socioeconomic strata. Presentations at community events and the use of Facebook facilitated the promotion of FitKids. Website traffic and Facebook usage were evaluated with Google Analytics and Facebook Insights, respectively.

resultsIn Tennessee, 33,505 users completed 38,429 FitCheck sessions between July 2014 and December 2016. Among these, 6763 sessions were completed at the five kiosks in the community. FitKids was presented at 112 community events and the social media posts reached 23,767 unique Facebook users.

conclusionsThe Memphis FitKids demonstration project showed that web-based health tools may be a viable strategy to increase access to information about healthy weight and lifestyle options for families. Mobile-friendly web-based applications like Memphis FitKids may also serve health professionals in their efforts to support their clients in adopting healthy behaviors.

Indexed as

Mobile ApplicationsAdolescentChildChild, PreschoolHealth BehaviorHealth PromotionHumansLife StyleParentsPediatric ObesityProgram DevelopmentProgram EvaluationRisk AssessmentTennesseeYoung AdultChildhood obesityGeographic information systemHealth promotionHealthy lifestyleInternetOverweight adolescentsParentingPhysical activitySocial marketingWebsite development

Identifiers

PMID30157819
PMCPMC6114180

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.