Evidence map›Paper›PMID 27460603›Full record

ArticleInternational journal of obesity (2005)2016

State-level estimates of childhood obesity prevalence in the United States corrected for report bias.

M W Long, Z J Ward, S C Resch, A L Cradock, Y C Wang, C M Giles, S L Gortmaker

Abstract readValidation Study
In one paragraph

Article in International journal of obesity (2005), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Obese- and allergic-related asthma phenotypes among children across the United States.The Journal of asthma : official journal of the Association for the Care of Asthma · 2019
    Article
  9. Microvascular insulin resistance in skeletal muscle and brain occurs early in the development of juvenile obesity in pigs.American journal of physiology. Regulatory, integrative and comparative physiology · 2018
    Article
  10. How is weight stigma related to children's health-related quality of life? A model comparison approach.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018
    Article
  11. 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

7 authors.

M W LongDepartment of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
Z J WardCenter for Health Decision Science, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
S C ReschCenter for Health Decision Science, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
A L CradockDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
Y C WangDepartment of Health Policy and Management, Mailman School of Public Health, Columbia University, New York, NY, USA.
C M GilesDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
S L GortmakerDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.

Funding

HARVARD PREVENTION RESEARCH CENTER ON NUTRITION AND PHYSICAL ACTIVITY-CATEGORY 1U48DP001946 · DP · HARVARD SCHOOL OF PUBLIC HEALTH · PI GORTMAKER, STEVEN L · 2009 to 2013
$7.5M
Estimating State-Specific Potential Annual Healthcare Cost Savings from ReducingR01CA172814 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WANG, YUNHSIN CLAIRE · 2013 to 2014
$464k
NCCDPHP CDC HHS U48 DP001946NCI NIH HHS R01 CA172814
6 · The paper itself

Abstract

BACKGROUND/

objectivesState-specific obesity prevalence data are critical to public health efforts to address the childhood obesity epidemic. However, few states administer objectively measured body mass index (BMI) surveillance programs. This study reports state-specific childhood obesity prevalence by age and sex correcting for parent-reported child height and weight bias. SUBJECTS/

methodsAs part of the Childhood Obesity Intervention Cost Effectiveness Study (CHOICES), we developed childhood obesity prevalence estimates for states for the period 2005-2010 using data from the 2010 US Census and American Community Survey (ACS), 2003-2004 and 2007-2008 National Survey of Children's Health (NSCH) (n=133 213), and 2005-2010 National Health and Nutrition Examination Surveys (NHANES) (n=9377; ages 2-17). Measured height and weight data from NHANES were used to correct parent-report bias in NSCH using a non-parametric statistical matching algorithm. Model estimates were validated against surveillance data from five states (AR, FL, MA, PA and TN) that conduct censuses of children across a range of grades.

resultsParent-reported height and weight resulted in the largest overestimation of childhood obesity in males ages 2-5 years (NSCH: 42.36% vs NHANES: 11.44%). The CHOICES model estimates for this group (12.81%) and for all age and sex categories were not statistically different from NHANES. Our modeled obesity prevalence aligned closely with measured data from five validation states, with a 0.64 percentage point mean difference (range: 0.23-1.39) and a high correlation coefficient (r=0.96, P=0.009). Estimated state-specific childhood obesity prevalence ranged from 11.0 to 20.4%.

conclusionUncorrected estimates of childhood obesity prevalence from NSCH vary widely from measured national data, from a 278% overestimate among males aged 2-5 years to a 44% underestimate among females aged 14-17 years. This study demonstrates the validity of the CHOICES matching methods to correct the bias of parent-reported BMI data and highlights the need for public release of more recent data from the 2011 to 2012 NSCH.

Indexed as

Public HealthPublic Health SurveillanceAdolescentBody Mass IndexChildChild, PreschoolFemaleHumansMaleNutrition SurveysParentsPediatric ObesityPolicy MakingPrevalenceSelf ReportUnited States

Identifiers

PMID27460603
PMCPMC8966206

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Registered trials

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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.