Evidence map›Paper›PMID 27894565›Full record

ArticleAnnals of epidemiology2016

Validating a summary measure of weight history for modeling the health consequences of obesity.

Andrew Stokes, Yu Ni

Abstract readValidation Study
In one paragraph

Article in Annals of epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  13. Prevalence and Trends in Lifetime Obesity in the U.S., 1988-2014.American journal of preventive medicine · 2017
    Article
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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

2 authors.

Andrew StokesDepartment of Global Health and Center for Global Health and Development, Boston University School of Public Health, Boston, MA. Electronic address: acstokes@bu.edu.
Yu NiDepartment of Epidemiology, University of Washington, Seattle.

Funding

The Contribution of Obesity to International Differences in LongevityR01AG040212 · NIA · UNIVERSITY OF PENNSYLVANIA · PI PRESTON, SAMUEL H · 2011 to 2015
$1.7M
Using lifetime maximum weight to measure prevalence, trends, and mortality risks of obesity in the NHANESR03SH000037 · SH · BOSTON UNIVERSITY MEDICAL CAMPUS · PI STOKES, ANDREW · 2016 to 2016
$58k
NCHS CDC HHS R03 SH000037NIA NIH HHS R01 AG040212
6 · The paper itself

Abstract

purposeData on weight history may enhance the predictive validity of epidemiologic models of the health risks of obesity, but collecting such data is often not feasible. In this study, we investigate the validity of a summary measure of weight history.

methodsWe evaluated the quality of reporting of maximum weight in a sample of adults aged 50-84 years using data from the Health and Retirement Study. Recalled max body mass index (BMI, measured in kilogram per square meter) based on recalled weight in 2004 was compared with calculated max BMI based on self-reported weight collected biennially between 1992 and 2004. Logistic regression was used to assess similarity between the measures in predicting prevalent conditions.

resultsThe correlation coefficient between recalled and calculated max weight in the overall sample was 0.95. Recalled max BMI value was within three BMI units of the calculated value 91.4% of the time. The proportions of individuals with obese I (BMI: 30.0-34.9), obese II (BMI: 35.0-39.9), and obese III (BMI: 40.0 and above) were 28.8%, 12.7%, and 6.6% using recalled values compared with 27.1%, 10.5%, and 4.9% using calculated values. In multivariate analyses, the two BMI measures similarly predicted disease prevalence across a number of chronic conditions.

conclusionsRecalled max BMI was strongly correlated with max BMI calculated over the 12-year period before recall, suggesting that this measure can serve as a reliable summary measure of recent weight status.

Indexed as

Body Mass IndexBody WeightAgedAged, 80 and overChronic DiseaseFemaleHealth SurveysHumansLogistic ModelsLongitudinal StudiesMaleMiddle AgedObesitySelf ReportUnited StatesAging and life courseBody mass indexEpidemiologyHealth and Retirement StudyMaximum weightMortalityObesityOverweightValidationWeight histories

Identifiers

PMID27894565
PMCPMC5142761

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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.