Evidence map›Paper›PMID 36756765›Full record

ArticlePopulation studies2023

Sources and severity of bias in estimates of the BMI-mortality association.

Ryan K Masters

Abstract read
In one paragraph

Article in Population studies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Observational
  9. Article
  10. Beyond Plants: The Ultra-Processing of Global Diets Is Harming the Health of People, Places, and Planet.International journal of environmental research and public health · 2023
    Article
  11. The Founder: Dispositional Greed, Showbiz, and the Commercial Determinants of Health.International journal of environmental research and public health · 2023
    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

1 author.

Ryan K MastersUniversity of Colorado Boulder.ORCID 0000-0002-6285-4445

Funding

Network on Life Course Health Dynamics and Disparities in 21st Century America RenewalR24AG045061 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE, Sarah A. Burgard · 2014 to 2026
$5.2M
University of Colorado Population CenterP2CHD066613 · NICHD · UNIVERSITY OF COLORADO · PI JANE A MENKEN · 2015 to 2026
$3.7M
The University of Colorado Population CenterR24HD066613 · NICHD · UNIVERSITY OF COLORADO · PI PAMPEL, FRED C · 2010 to 2014
$1.9M
NIA NIH HHS R24 AG045061NICHD NIH HHS P2C HD066613NICHD NIH HHS R24 HD066613
6 · The paper itself

Abstract

Estimates of mortality differences by body mass index (BMI) are likely biased by: (1) confounding bias from heterogeneity in body shape; (2) positive survival bias in high-BMI samples due to recent weight gain; and (3) negative survival bias in low-BMI samples due to recent weight loss. I investigate these sources of bias in the National Health and Nutrition Examination Survey (NHANES) 1988-94 and 1999-2006 linked to mortality up to 2015 (17,784 cases; 4,468 deaths). I use Cox survival models to estimate BMI differences in all-cause mortality risks among adults aged [45-85) in the United States. I test for age-based differences in BMI-mortality associations and estimate functional forms of the association using nine BMI levels. Estimates of the BMI-mortality association in NHANES data are significantly affected by all three biases, and obesity-mortality associations adjusted for bias are substantively strong at all ages. The mortality consequences of overweight and obesity have likely been underestimated, especially at older ages.

Indexed as

ObesityAdultBiasBody Mass IndexHumansNutrition SurveysUnited Statesbody mass indexmortalityNHANESobesityoverweightpopulation attributable fractionprincipal component analysisreverse causationsurvival analysis

Identifiers

PMID36756765
PMCPMC9992219

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.