Evidence map›Paper›PMID 24513590›Full record

ArticleDiabetes care2014

The dynamics of diabetes among birth cohorts in the U.S.

Ezra I Fishman, Andrew Stokes, Samuel H Preston

Abstract read
In one paragraph

Article in Diabetes care, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Birth Cohort Colorectal Cancer (CRC): Implications for Research and Practice.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Estimation of State-Level Prevalence of Hepatitis C Virus Infection, US States and District of Columbia, 2010.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2017
    Article
  12. Trends in diabetes and obesity in Samoa over 35 years, 1978-2013.Diabetic medicine : a journal of the British Diabetic Association · 2017
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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.

Ezra I FishmanCorresponding author: Ezra I. Fishman, fishmane@sas.upenn.edu.
Andrew Stokes
Samuel H Preston

Funding

The Contribution of Obesity to International Differences in LongevityR01AG040212 · NIA · UNIVERSITY OF PENNSYLVANIA · PI PRESTON, SAMUEL H · 2011 to 2015
$1.7M
DEMOGRAPHY OF AGINGT32AG000177 · NIA · UNIVERSITY OF PENNSYLVANIA · PI KOHLER, HANS-PETER, PRESTON, SAMUEL H · 1989 to 2012
$1.5M
NIA NIH HHS R01 AG040212NIA NIH HHS R01-AG-040212NIA NIH HHS T32 AG000177
6 · The paper itself

Abstract

OBJECTIVE Using a nationally representative sample of the civilian noninstitutionalized U.S. population, we estimated trends in diabetes prevalence across cohorts born 1910-1989 and provide the first estimates of age-specific diabetes incidence using nationally representative, measured data. RESEARCH DESIGN AND METHODS Data were from 40,130 nonpregnant individuals aged 20-79 years who participated in the third National Health and Nutrition Examination Survey (NHANES III), 1988-1994, and the continuous 1999-2010 NHANES. We defined diabetes as HbA1c ≥6.5% (48 mmol/mol) or taking diabetes medication. We estimated age-specific diabetes prevalence for the 5-year age-groups 20-24 through 75-79 for cohorts born 1910-1919 through 1980-1989 and calendar periods 1988-1994, 1999-2002, 2003-2006, and 2007-2010. We modeled diabetes prevalence as a function of age, calendar year, and birth cohort, and used our cohort model to estimate age-specific diabetes incidence. RESULTS Age-adjusted diabetes prevalence rose by a factor of 4.9 between the birth cohorts of 1910-1919 and 1980-1989. Diabetes prevalence rose with age within each birth cohort. Models based on birth cohorts show a steeper age pattern of diabetes prevalence than those based on calendar years. Diabetes incidence peaks at 55-64 years of age. CONCLUSIONS Diabetes prevalence has risen across cohorts born through the 20th century. Changes across birth cohorts explain the majority of observed increases in prevalence over time. Incidence peaks between 55 and 64 years of age and then declines at older ages.

Indexed as

AdultAgedCohort StudiesDiabetes MellitusFemaleHumansIncidenceMaleMiddle AgedPrevalenceUnited StatesYoung Adult

Identifiers

PMID24513590
PMCPMC3964490

What OpenQuestion holds

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Registered trials

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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.