Evidence map›Paper›PMID 21228416›Full record

ArticleAmerican journal of epidemiology2011

Overweight adults may have the lowest mortality--do they have the best health?

Anna Zajacova, Jennifer Beam Dowd, Sarah A Burgard

Abstract read
In one paragraph

Article in American journal of epidemiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Bodyweight, gender, and quality of life: a population-based longitudinal study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2012
    Article
  7. Article
  8. 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.

Anna ZajacovaDepartment of Sociology, College of Arts and Sciences, University of Wyoming, Laramie, USA. zajacova@uwyo.edu
Jennifer Beam Dowd
Sarah A Burgard

Funding

Population Studies Center Infrastructure GrantR24HD041028 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SMOCK, PAMELA J. · 2001 to 2016
$13.2M
NICHD NIH HHS R24 HD041028
6 · The paper itself

Abstract

Numerous recent studies have found that overweight adults experience lower overall mortality than those who are underweight, normal-weight, or obese. These highly publicized findings imply that overweight may be the optimal weight category for overall health via its association with longevity-a conclusion with important public health implications. In this study, the authors examined the association between body mass index (BMI; (weight (kg)/height (m)(2))) and 3 markers of health risks using a nationally representative sample of US adults aged 20-80 years (n = 9,255) from the National Health and Nutrition Examination Survey (2005-2008). Generalized additive models, a type of semiparametric regression model, were used to examine the relations between BMI and biomarkers of inflammation, metabolic function, and cardiovascular function (C-reactive protein, hemoglobin A(1c), and high density lipoprotein cholesterol, respectively). The association between BMI and each biomarker was monotonic, with higher BMI being consistently associated with worse health risk profiles at all ages, in contrast to the U-shaped relation between BMI and mortality. Prior results suggesting that the overweight BMI category corresponds to the lowest risk of mortality may not be generalizable to indicators of health risk.

Indexed as

Health Status IndicatorsAdultAgedAged, 80 and overBiomarkersBody Mass IndexCholesterol, HDLC-Reactive ProteinFemaleGlycated HemoglobinHumansLeast-Squares AnalysisLinear ModelsLongevityMaleMiddle AgedBiomarkersCholesterol, HDLC-Reactive ProteinGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID21228416
PMCPMC3900866

What OpenQuestion holds

Textmetadata
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.