Evidence map›Paper›PMID 30482743›Full record

ArticleJMIR mHealth and uHealth2018

Feasibility of Using a Commercial Fitness Tracker as an Adjunct to Family-Based Weight Management Treatment: Pilot Randomized Trial.

Thao-Ly Tam Phan, Nadia Barnini, Sherlly Xie, Angelica Martinez, Lauren Falini, Atiera Abatemarco, Maura Waldron, Jane M Benton, Steve Frankenberry, Cassandra Coleman and 4 more

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Review
  6. Article
  7. Exploring Families' Acceptance of Wearable Activity Trackers: A Mixed-Methods Study.International journal of environmental research and public health · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. 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

14 authors at 5 institutions in 1 country.

Thao-Ly Tam PhanCenter for Healthcare Delivery Science, Nemours Children's Health System, Wilmington, DE, United States.ORCID http://orcid.org/0000-0003-4616-6869
Nadia BarniniCardiac Center, Nemours Children's Hospital, Orlando, FL, United States.ORCID http://orcid.org/0000-0001-6917-0401
Sherlly XieBiostatistics Core, Department of Biomedical Research, Nemours Children's Health System, Wilmington, DE, United States.ORCID http://orcid.org/0000-0001-9887-7596
Angelica MartinezDivision of General Academic Pediatrics, Nemours Children's Hospital, Orlando, FL, United States.ORCID http://orcid.org/0000-0001-7245-427X
Lauren FaliniDivision of Weight Management, Nemours Children's Health System, Wilmington, DE, United States.ORCID http://orcid.org/0000-0001-7797-1698
Atiera AbatemarcoDivision of General Academic Pediatrics, Nemours Children's Hospital, Orlando, FL, United States.ORCID http://orcid.org/0000-0003-1562-2673
Maura WaldronDepartment of Kinesiology, West Chester University, West Chester, PA, United States.ORCID http://orcid.org/0000-0003-1029-2492
Jane M BentonDivision of General Academic Pediatrics, Nemours Children's Hospital, Orlando, FL, United States.ORCID http://orcid.org/0000-0002-6483-7040
Steve FrankenberryDivision of General Academic Pediatrics, Nemours Children's Hospital, Orlando, FL, United States.ORCID http://orcid.org/0000-0002-5362-0786
Cassandra ColemanDepartment of Pediatrics, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, United States.ORCID http://orcid.org/0000-0002-1998-1385
Linhda NguyenDivision of Weight Management, Nemours Children's Health System, Wilmington, DE, United States.ORCID http://orcid.org/0000-0002-5745-4199
Cindy BoStrategy and Business Development, Nemours Children's Health System, Wilmington, DE, United States.ORCID http://orcid.org/0000-0001-6628-3099
George A DattoDepartment of Pediatrics, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, United States.ORCID http://orcid.org/0000-0003-1061-8851
Lloyd N WerkDivision of General Academic Pediatrics, Nemours Children's Hospital, Orlando, FL, United States.ORCID http://orcid.org/0000-0001-9892-898X
Nemours Children's Clinic · USNemours Children's Health System · USThomas Jefferson University · USUniversity of Central Florida · USWest Chester University · US

Funding

Integrating Parenting Interventions into Pediatric Obesity CareK23HD083439 · NICHD · NEMOURS CHILDREN'S HOSPITAL, DELAWARE · PI PHAN-VO, THAO-LY TAM · 2016 to 2020
$776k
NICHD NIH HHS K23 HD083439
6 · The paper itself

Abstract

backgroundFitness trackers can engage users through automated self-monitoring of physical activity. Studies evaluating the utility of fitness trackers are limited among adolescents, who are often difficult to engage in weight management treatment and are heavy technology users.

objectiveWe conducted a pilot randomized trial to describe the impact of providing adolescents and caregivers with fitness trackers as an adjunct to treatment in a tertiary care weight management clinic on adolescent fitness tracker satisfaction, fitness tracker utilization patterns, and physical activity levels.

methodsAdolescents were randomized to 1 of 2 groups (adolescent or dyad) at their initial weight management clinic visit. Adolescents received a fitness tracker and counseling around activity data in addition to standard treatment. A caregiver of adolescents in the dyad group also received a fitness tracker. Satisfaction with the fitness tracker, fitness tracker utilization patterns, and physical activity patterns were evaluated over 3 months.

resultsA total of 88 adolescents were enrolled, with 69% (61/88) being female, 36% (32/88) black, 23% (20/88) Hispanic, and 63% (55/88) with severe obesity. Most adolescents reported that the fitness tracker was helping them meet their healthy lifestyle goals (69%) and be more motivated to achieve a healthy weight (66%). Despite this, 68% discontinued use of the fitness tracker by the end of the study. There were no significant differences between the adolescent and the dyad group in outcomes, but adolescents in the dyad group were 12.2 times more likely to discontinue using their fitness tracker if their caregiver also discontinued use of their fitness tracker (95% CI 2.4-61.6). Compared with adolescents who discontinued use of the fitness tracker during the study, adolescents who continued to use the fitness tracker recorded a higher number of daily steps in months 2 and 3 of the study (mean 5760 vs 4148 in month 2, P=.005, and mean 5942 vs 3487 in month 3, P=.002).

conclusionsDespite high levels of satisfaction with the fitness trackers, fitness tracker discontinuation rates were high, especially among adolescents whose caregivers also discontinued use of their fitness tracker. More studies are needed to determine how to sustain the use of fitness trackers among adolescents with obesity and engage caregivers in adolescent weight management interventions.

Indexed as

accelerometryfitness trackershealth behaviorpediatric obesity

Identifiers

PMID30482743
PMCPMC6290267
OpenAlexW2902061323

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.