Evidence map›Paper›PMID 27649888›Full record

ArticleExperimental gerontology2016

Role of a plausible nuisance contributor in the declining obesity-mortality risks over time.

Tapan Mehta, Nicholas M Pajewski, Scott W Keith, Kevin Fontaine, David B Allison

Abstract read
In one paragraph

Article in Experimental gerontology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

5 authors.

Tapan MehtaDepartment of Health Services Administration, University of Alabama at Birmingham, Birmingham, AL, United States; Nutrition Obesity Research Center, University of Alabama at Birmingham, Birmingham, AL, United States. Electronic address: tapan@uab.edu.
Nicholas M PajewskiDepartment of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, United States. Electronic address: npajewsk@wakehealth.edu.
Scott W KeithDepartment of Pharmacology and Experimental Therapeutics, Thomas Jefferson University, Philadelphia, PA, United States. Electronic address: scott.keith@jefferson.edu.
Kevin FontaineDepartment of Health Behavior, University of Alabama at Birmingham, Birmingham, AL, United States. Electronic address: kfontai1@uab.edu.
David B AllisonNutrition Obesity Research Center, University of Alabama at Birmingham, Birmingham, AL, United States; Office of Energetics and Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, United States. Electronic address: dallison@uab.edu.

Funding

Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2000 to 2026
$31.9M
UAB Statistical Genetics Post-Doctoral Training ProgramT32HL072757 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI TIWARI, HEMANT K. · 2003 to 2016
$3.8M
UAB Biostatistics Pre-doctoral Training ProgramT32HL079888 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ALLISON, DAVID B, CUTTER, GARY R · 2005 to 2014
$2.3M
Obesity and MortalityR01DK076771 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ALLISON, DAVID B · 2007 to 2009
$753k
Obesity and Mortality among HispanicsR21DK077959 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI FONTAINE, KEVIN R · 2008 to 2009
$454k
NHLBI NIH HHS T32 HL072757NHLBI NIH HHS T32 HL079888NIDDK NIH HHS P30 DK056336NIDDK NIH HHS R01 DK076771NIDDK NIH HHS R21 DK077959
6 · The paper itself

Abstract

contextRecent analyses of epidemiological data including the National Health and Nutrition Examination Survey (NHANES) have suggested that the harmful effects of obesity may have decreased over calendar time. The shifting BMI distribution over time coupled with the application of fixed broad BMI categories in these analyses could be a plausible "nuisance contributor" to this observed change in the obesity-associated mortality over calendar time.

objectiveTo evaluate the extent to which observed temporal changes in the obesity-mortality association may be due to a shifting population distribution for body mass index (BMI), coupled with analyses based on static, broad BMI categories. DESIGN, SETTING, AND

participantsSimulations were conducted using data from NHANES I and III linked with mortality data. Data from NHANES I were used to fit a "true" model treating BMI as a continuous variable. Coefficients estimated from this model were used to simulate mortality for participants in NHANES III. Hence, the population-level association between BMI and mortality in NHANES III was fixed to be identical to the association estimated in NHANES I. Hazard ratios (HRs) for obesity categories based on BMI for NHANES III with simulated mortality data were compared to the corresponding estimated HRs from NHANES I.

main outcome measuresChange in hazard ratios for simulated data in NHANES III compared to observed estimates from NHANES I.

resultsOn average, hazard ratios for NHANES III based on simulated mortality data were 29.3% lower than the estimates from NHANES I using observed mortality follow-up. This reduction accounted for roughly three-fourths of the apparent decrease in the obesity-mortality association observed in a previous analysis of these data.

conclusionsSome of the apparent diminution of the association between obesity and mortality may be an artifact of treating BMI as a categorical variable.

Indexed as

AdultAgedAge DistributionBody Mass IndexEpidemiologic MethodsFemaleHumansMaleMiddle AgedModels, BiologicalObesityUnited StatesBMI distribution and categoriesMortalityObesitySimulations

Identifiers

PMID27649888
PMCPMC5154798

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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.