Evidence map›Paper›PMID 31753082›Full record

ArticlePreventing chronic disease2019

A School-Based Intervention Using Health Mentors to Address Childhood Obesity by Strengthening School Wellness Policy.

Nisha Narayanan, Nikita Nagpal, Hillary Zieve, Aashay Vyas, Jonathan Tatum, Margarita Ramos, Team KiPOW!, Robert McCarter, Candice Taylor Lucas, Michele Mietus-Snyder

Open access · diamondAbstract read
In one paragraph

Article in Preventing chronic disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

10 authors at 6 institutions in 1 country.

Nisha NarayananDivision of Pediatric Emergency Medicine, New York University Langone Medical Center, New York, New York.
Nikita NagpalDepartment of General Pediatrics, New York University School of Medicine, Bellview Hospital Center, New York, New York.
Hillary ZieveDepartment of Pediatrics, Children's Hospital of Orange County, Irvine, California.
Aashay VyasDepartment of General Pediatrics, Valley Children's Healthcare, Irvine, California.
Jonathan TatumDepartment of General Pediatrics, Cincinnati Children's Medical Center, Cincinnati, Ohio.
Margarita RamosDepartment of General Pediatrics, Children's National Hospital, Washington, District of Columbia.
Team KiPOW!Author members of Team KiPOW are listed in Acknowledgments.
Robert McCarterDivision of Biostatistics and Study Methodology, Children's National Hospital, Washington, District of Columbia.
Candice Taylor LucasDepartment of Pediatrics, University of California, Irvine School of Medicine, Irvine, California.
Michele Mietus-SnyderCenter for Translational Research, Children's National Hospital, Washington, District of Columbia.
Children's National · USChildren's Hospital of Orange County · USCincinnati Children's Hospital Medical Center · USIrvine Valley College · USNew York University · USNYU Langone Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PURPOSE AND

objectivesThe objective of our study was to strengthen wellness policy in Title 1 schools by implementing a mentored behavior-change model that extends the continuum of care from academic to community settings and mobilizes existing public resources in accordance with US Preventive Services Task Force screening guidelines for childhood obesity management. INTERVENTION APPROACH: Team Kid POWER! (KiPOW!) health mentors (students and trainees in medical and health-related fields) in 2 geographically and demographically distinct school districts, the District of Columbia and Orange County, California, delivered standardized health curricular modules to fifth grade classrooms, modeled healthy eating behaviors during school lunchtime, and engaged in active play at recess. EVALUATION

methodsInitial interventions in the the District of Columbia and Orange County delivered 10 sessions in which all participants received the intervention. Two subsequent interventions in Orange County, for 5 weeks (Lite) and 10 weeks (Full), included controls. Pre-post measurements of body mass index (BMI) and blood pressure were documented in all participants. A mixed linear regression model, which included a random effect for each school, estimated differences between Full and Lite interventions compared with controls, adjusting for site, sex, and baseline status of the dependent variable.

resultsKiPOW! Full, but not KiPOW! Lite, was associated with a modest reduction in BMI percentile compared with control (KiPOW! Full, P = .04; KiPOW! Lite, P = .41), especially in Orange County (P < .001). Systolic blood pressure improved in Full (P < .046) more than in Lite interventions (P = .11), and diastolic blood pressure improved in both Full (P = .02) and Lite (P = .03) interventions. Annual renewal of the school and volunteer commitment needed to maintain KiPOW! was found to be sustainable. IMPLICATIONS FOR PUBLIC HEALTH: KiPOW! is a generalizable academic-community partnership promoting face-to-face contact between students and trusted health mentors to reinforce school wellness policies and foster youth confidence in decision-making about nutrition- and activity-related behaviors to achieve reduced BMI percentile and lowered blood pressure.

Indexed as

Health PolicyMentorsSchool Health ServicesCaliforniaChildDiet, HealthyDistrict of ColumbiaFemaleHealth BehaviorHealth PromotionHumansMalePediatric ObesityStudents

Identifiers

PMID31753082
PMCPMC6880918
OpenAlexW2987285694

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.