Cited by 71Growth Hormone and Insulin-like Growth FactorsHormonal and reproductive studiesBirth, Development, and Health

Insulin-like growth factors and subsequent risk of mortality in the United States

Saydah, S., Graubard, B., Ballard-Barbash, R., Berrigan, D.·2007·American Journal of Epidemiology

Abstract

Although numerous studies have explored the relation of insulin-like growth factor (IGF)-I and IGF-binding protein (BP) 3 with cancer and cardiovascular disease, only two previous studies are known to have looked at the association of IGF-I and IGF-BP3 with risk of mortality. The objective of this US study was to examine the risk of all-cause, heart disease, and cancer mortality associated with IGF-I and IGF-BP3 levels using data from the Third National Health and Nutrition Examination Survey (NHANES III) and NHANES III Mortality Study (n = 6,061) (1988-2000). The authors constructed proportional hazards models with age as the time scale to determine the association of baseline IGF-I and IGF-BP3 levels with subsequent mortality. After adjustment for baseline measures, there was no increased risk of all-cause, heart disease, or cancer mortality for the lower quartiles of IGF-I compared with the highest quartile. The adjusted relative hazard of all-cause mortality for the lowest quartile of IGF-BP3 compared with the highest quartile was 1.57 (95% confidence interval: 0.98, 2.52), and the trend for risk was significant (p = 0.0364), but there was no increased risk of heart disease or cancer mortality. Results suggest that the association of IGF-I and IGF-BP3 with mortality may differ from associations with incidence of disease.

Integrity signals

Registry

Crossref · 10.1093/aje/kwm124

Cites

36 of 36 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?

  • Observational studies have reported inconsistent associations between IGF-1 and mortality.

    “a series of observational studies have reported inconsistent associations (37-41)”

    From Frailty in elderly people (2013) · cites this paper as [40]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Saydah, S., Graubard, B., Ballard-Barbash, R., & Berrigan, D.
Affiliations
  • Centers for Disease Control and Prevention (US)
  • National Cancer Institute (US)
  • National Institutes of Health (US)
Venue
American Journal of Epidemiology
Published
2007-06-21
Volume
166
Issue
5
Pages
518-526
ISSN
  • 0002-9262 (ISSN-L)
  • 1476-6256
OpenAlex
W2166839527
Cited by
71
References
36
Citations by year
2025: 1 · 2024: 1 · 2023: 2 · 2022: 1 · 2021: 3 · 2020: 3 · 2018: 2 · 2017: 2 · 2016: 3 · 2015: 2 · 2014: 4 · 2013: 2 · 2012: 4
FWCI
6.33
Type
journal article
Language
en
Open access
closed
Locations
  • American Journal of Epidemiology (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Centers for Disease Control and Prevention
  • National Cancer Institute
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Growth Hormone and Insulin-like Growth Factors
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Hormonal and reproductive studies
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Birth, Development, and Health
Keywords
insulin-like growth factor I, IGF binding protein-3, mortality, all-cause mortality, heart disease mortality, cancer mortality, NHANES III, biomarkers, cardiovascular disease, cancer risk
MeSH terms
Adolescent, Adult, Aged, Cardiovascular Diseases, Female, Humans, Male, Middle Aged, Mortality, Neoplasms, Nutrition Surveys, Prospective Studies, Risk Factors, Somatomedins, United States, Proportional Hazards Models

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