Cited by 223Statistical Methods in EpidemiologyObesity, Physical Activity, DietCancer Risks and Factors

Reverse Causation and Illness-related Weight Loss in Observational Studies of Body Weight and Mortality

Flegal, K. M., Graubard, B. I., Williamson, D. F., Cooper, R. S.·2011·American Journal of Epidemiology

Abstract

In studies of weight and mortality, the construct of reverse causation has come to be used to imply that the exposure-outcome relation is biased by weight loss due to preexisting illness. Observed weight-mortality associations are sometimes thought to result from this bias. Evidence for the occurrence of such bias is weak and inconsistent, suggesting that either the analytical methods used have been inadequate or else illness-related weight loss is not an important source of bias. Deleting participants has been the most frequent approach to control possible bias. As implemented, this can lead to deletion of almost 90% of all deaths in a sample and to deletion of more overweight and obese participants than participants with normal or below normal weight. Because it has not been demonstrated that the procedures used to adjust for reverse causation increase validity or have large or systematic effects on relative risks, it is premature to consider reverse causation as an important cause of bias. Further research would be useful to elucidate the potential effects and importance of reverse causation or illness-related weight loss as a source of bias in the observed associations between weight and mortality in cohort studies.

Integrity signals

Registry

Crossref · 10.1093/aje/kwq341

Cites

119 of 119 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Flegal, K. M., Graubard, B. I., Williamson, D. F., & Cooper, R. S.
Affiliations
Centers for Disease Control and Prevention (US)
Corresponding author
Flegal, K. M.
Venue
American Journal of Epidemiology
Published
2010-11-08
Volume
173
Issue
1
Pages
1-9
ISSN
  • 0002-9262 (ISSN-L)
  • 1476-6256
OpenAlex
W2150218756
Cited by
223
References
119
Citations by year
2026: 9 · 2025: 15 · 2024: 8 · 2023: 13 · 2022: 13 · 2021: 18 · 2020: 14 · 2019: 12 · 2018: 16 · 2017: 13 · 2016: 15 · 2015: 22 · 2014: 16 · 2013: 17 · 2012: 10
FWCI
1.82
Type
journal article
Language
en
Open access
closed
Locations
  • American Journal of Epidemiology (publishedVersion)
  • PubMed (publishedVersion)
  • Civil War Book Review (submittedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Health Sciences › Medicine › Oncology › Cancer Risks and Factors
Keywords
reverse causality, body weight, mortality, bias in observational studies, cohort studies, overweight, obesity, exposure-outcome association
MeSH terms
Body Weight, Cause of Death, Humans, Obesity, Risk Factors, Weight Loss, Causality, Survival Rate

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review