Evidence map›Paper›PMID 35141118›Full record

ReviewPreventive medicine reports2022

Context, importance, and process for creating a body mass index surveillance system to monitor childhood obesity within the New York City public school setting.

Kevin J Konty, Sophia E Day, Melanie D Napier, Erica Irvin, Hannah R Thompson, Emily M D'Agostino

Open access · goldAbstract readReview
In one paragraph

Review in Preventive medicine reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Sentinel Networks for the Surveillance of Overweight and Obesity: A Scoping Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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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

6 authors at 4 institutions in 1 country.

Kevin J KontyOffice of School Health, Research and Analytics, New York City Department of Health and Mental Hygiene, New York, NY USA.
Sophia E DayOffice of School Health, Research and Analytics, New York City Department of Health and Mental Hygiene, New York, NY USA.
Melanie D NapierDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC USA.
Erica IrvinOffice of School Wellness Programs, New York City Department of Education, New York, NY USA.
Hannah R ThompsonDepartment of Community Health Science, School of Public Health, University of California Berkley, Berkley, CA USA.
Emily M D'AgostinoDepartment of Orthopaedic Surgery, Duke University School of Medicine, Durham, NC USA.
New York City Department of Health and Mental Hygiene · USDuke University · USNew York City Department of Education · USUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Office of School Health, a joint program of the Departments of Health and Education, administers New York City's (NYC) body mass index (BMI) surveillance system to monitor childhood obesity. We describe the context, importance, and process for creating a multi-agency, school-based BMI surveillance system using BMI collected from annual FITNESSGRAM® physical fitness assessments conducted as part of a larger physical activity and wellness curriculum in NYC public schools. We also summarize our current system and methodology, highlighting the types of data and data sources that comprise the system and partnership between the Departments of Health and Education that enable data sharing. Strategies for addressing threats to data quality, including missing data, biologically implausible values, and imprecise/subjective weight or height equipment are discussed. We also review current and future surveillance data products, and provide recommendations for collecting, analyzing, interpreting, and reporting BMI data for childhood obesity surveillance. Collaboration between Departments of Health and Education as well as attention to safeguards of BMI reporting and data quality threats have enabled NYC to collect high quality BMI data to accurately monitor childhood obesity trends. These findings have implications for youth BMI surveillance systems in the United States and globally.

Identifiers

PMID35141118
PMCPMC8814642
OpenAlexW4205631371

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.