Evidence map›Paper›PMID 31792334›Full record

ArticleInternational journal of obesity (2005)2020

Use and reporting of Bland-Altman analyses in studies of self-reported versus measured weight and height.

Katherine M Flegal, Barry Graubard, John P A Ioannidis

Abstract read
In one paragraph

Article in International journal of obesity (2005), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
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  13. Dietary Isorhamnetin Intake Is Inversely Associated with Coronary Artery Disease Occurrence in Polish Adults.International journal of environmental research and public health · 2022
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  17. Design of Growth Trend Map of Children and Adolescents Based on Bone Age.Computational intelligence and neuroscience · 2022
    Article
  18. Article
  19. Does Self-Perception Equal the Truth When Judging Own Body Weight and Height?International journal of environmental research and public health · 2021
    Article
  20. 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

3 authors.

Katherine M FlegalStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, 1265 Welch Road, Mail Code 5411, Stanford, CA, 94305-5411, USA. kmflegal@stanford.edu.ORCID http://orcid.org/0000-0002-0838-469X
Barry GraubardDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
John P A IoannidisStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, 1265 Welch Road, Mail Code 5411, Stanford, CA, 94305-5411, USA.

Funding

Methods for Epidemiology StudiesZIACP010181 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ALBERT, PAUL · 2009 to 2025
$34.8M
Nutrition, Metabolism, and CancerZ01CP010169 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ZIEGLER, REGINA G · 2002 to 2008
$1.9M
Intramural NIH HHS Z01 CP010169
6 · The paper itself

Abstract

BACKGROUND/

objectivesBland-Altman methods for assessing the agreement between two measures are highly cited. However, these methods may often not be used to assess agreement, and when used, they are not always presented or interpreted correctly. Our objective was to evaluate the use and the quality of reporting of Bland-Altman analyses in studies that compare self-reported with measured weight and height.

methodsWe evaluated the use of Bland-Altman methods in 394 published articles that compared self-reported and measured weight and height data for adolescents or adults. Six reporting criteria were developed: assessment of the normality of the distribution of differences, a complete and correctly labeled Bland-Altman plot displaying the mean difference and limits of agreement (LOA), numerical values and confidence intervals, standard errors, or standard deviations for mean difference, numerical values of LOA, confidence intervals for LOA, and prespecified criteria for acceptable LOA.

resultsOnly 72/394 (18%) studies comparing self-reported with measured weight and height or BMI used some form of Bland-Altman analyses. No study using Bland-Altman analyses satisfied more than four of the six criteria. Of the 72 studies, 64 gave mean differences along with confidence intervals or standard deviations, 55 provided complete Bland-Altman plots that were appropriately labeled and described, 37 provided numerical values for LOA, 4 reported that they examined the normality of the distribution of differences, 3 provided confidence intervals for LOA, and 3 had prespecified criteria for agreement.

conclusionsBland-Altman methods appear to be infrequently used in studies comparing measured with self-reported weight, height, or BMI, and key information is missing in many of those that do use Bland-Altman methods. Future directions would be defining acceptable LOA values and improving the reporting and application of Bland-Altman methods in studies of self-reported anthropometry.

Indexed as

Body HeightBody WeightSelf ReportAdolescentAdultAnthropometryData AnalysisData CollectionHumans

Identifiers

PMID31792334
PMCPMC7261640

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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.