Evidence map›Paper›PMID 26875508›Full record

ArticleAcademic pediatrics2016

Parental Predictions and Perceptions Regarding Long-Term Childhood Obesity-Related Health Risks.

Davene R Wright, Paula Lozano, Elizabeth Dawson-Hahn, Dimitri A Christakis, Wren L Haaland, Anirban Basu

Open access · greenAbstract read
In one paragraph

Article in Academic pediatrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Subhealth Risk Perception Scale: Development and Validation of a New Measure.Computational and mathematical methods in medicine · 2022
    Article
  5. Article
  6. Review
  7. Article
  8. Parental optimism about childhood obesity-related disease risks.International journal of obesity (2005) · 2017
    Article
  9. Article
  10. 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

6 authors at 2 institutions in 1 country.

Davene R WrightDepartment of Pediatrics, University of Washington School of Medicine, Seattle, Wash; Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, Wash. Electronic address: davene.wright@seattlechildrens.org.
Paula LozanoGroup Health Research Institute, Seattle, Wash.
Elizabeth Dawson-HahnDepartment of Pediatrics, University of Washington School of Medicine, Seattle, Wash; Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, Wash.
Dimitri A ChristakisDepartment of Pediatrics, University of Washington School of Medicine, Seattle, Wash; Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, Wash.
Wren L HaalandCenter for Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, Wash.
Anirban BasuDepartment of Pharmacy, University of Washington School of Pharmacy, Seattle, Wash.
University of Washington · USKaiser Permanente Washington Health Research Institute · US

Funding

Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
Institute of Translational Health SciencesUL1TR000423 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$49.4M
PILOT STUDY--CLINICAL NUTRITION RESEARCHP30DK035816 · NIDDK · UNIVERSITY OF WASHINGTON · PI Ellen A Schur · 1986 to 2026
$30.4M
NCATS NIH HHS UL1 TR000423NCATS NIH HHS UL1 TR002319NIDDK NIH HHS P30 DK035816
6 · The paper itself

Abstract

objectiveTo assess how parents perceive long-term risks for developing obesity-related chronic health conditions.

methodsA Web-based nationally representative survey was administered to 502 US parents with a 5- to 12-year-old child. Parents reported whether their child was most likely to be at a healthy weight or overweight, and the probability that their child would develop hypertension, heart disease, depression, or type 2 diabetes in adulthood. Responses of parents of children with overweight and obesity were compared to those of healthy-weight children using multivariate models.

resultsThe survey had an overall response rate of 39.2%. The mean (SD) unadjusted parent predicted health risks were 15.4% (17.7%), 11.2% (14.7%), 12.5% (16.2%), and 12.1% (16.1%) for hypertension, heart disease, depression, and diabetes, respectively. Despite underperceiving their child's current body mass index class, parents of children with obesity estimate their children to be at greater risk for obesity-related health conditions than parents of healthy-weight children by 5 to 6 percentage points. Having a family history of a chronic disease, higher quality of care, and older parent age were also significant predictors of estimating higher risk probabilities.

conclusionsDespite evidence that parents of children who are overweight may not perceive these children as being overweight, parents unexpectedly estimate greater future risk of weight-related health conditions for these children. Focusing communication about weight on screening for and reducing the risk of weight-related diseases may prove useful in engaging parents and children in weight management.

Indexed as

Health Knowledge, Attitudes, PracticeParentsRiskAdultAge FactorsChildChild, PreschoolDepressionDiabetes Mellitus, Type 2FemaleHeart DiseasesHumansHypertensionInternetMaleMiddle Agedcardiovascular diseasechildhood obesitydiabetesmental healthrisk assessmentrisk communicationrisk perception

Identifiers

PMID26875508
PMCPMC4931970
OpenAlexW2271511821

What OpenQuestion holds

Textmetadata
LicenceTDM
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.