Evidence map›Paper›PMID 29511995›Full record

ArticleDemography2018

Is 60 the New 50? Examining Changes in Biological Age Over the Past Two Decades.

Morgan E Levine, Eileen M Crimmins

Abstract read
In one paragraph

Article in Demography, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Racial and Social Inequities in Weathering: the ELSA-Brasil Cohort.Journal of racial and ethnic health disparities · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  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

2 authors.

Morgan E LevineDepartment of Pathology, Yale School of Medicine, New Haven, CT, 06510, USA. morgan.levine@yale.edu.
Eileen M CrimminsDavis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA.

Funding

USC/UCLA Center on Biodemography &Population HealthP30AG017265 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE · 1999 to 2026
$17.9M
RESEARCH TRAINING IN GERONTOLOGYT32AG000037 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE, EILEEN M CRIMMINS · 1985 to 2026
$13.2M
Network on Measurement of Biological RiskR24AG054365 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI EILEEN M CRIMMINS, Jessica Faul · 2016 to 2026
$3.0M
Molecular mechanisms and social constructs: How genes and environment regulate the rate of agingR00AG052604 · NIA · YALE UNIVERSITY · PI LEVINE, MORGAN ELYSE, TIGNANELLI, CHRISTOPHER J · 2017 to 2020
$866k
NIA NIH HHS P30 AG017265NIA NIH HHS R00 AG052604NIA NIH HHS R24 AG054365NIA NIH HHS T32 AG000037NIMHD NIH HHS L60 MD012029
6 · The paper itself

Abstract

Increasing life expectancy has been interpreted as improving health of a population. However, mortality is not always a reliable proxy for the pace of aging and could instead reflect achievement in keeping ailing people alive. Using data from NHANES III (1988-1994) and NHANES IV (2007-2010), we examined how biological age, relative to chronological age, changed in the United States between 1988 and 2010, while estimating the contribution of changes in modifiable health behaviors. Results suggest that biological age is lower for more recent periods; however, the degree of improvement varied across age and sex groups. Overall, older adults experienced the greatest improvement or decreases in biological age. Males, especially those in the youngest and oldest groups, experienced greater declines in biological age than females. These differences were partially explained by age- and sex-specific changes in behaviors, such as smoking, obesity, and medication use. Slowing the pace of aging, along with increasing life expectancy, has important social and economic implications; thus, identifying modifiable risk factors that contribute to cohort differences in health and aging is essential.

Indexed as

AgingHealth BehaviorAdultAgedAge FactorsAnticholesteremic AgentsAntihypertensive AgentsFemaleHumansLife ExpectancyMaleMiddle AgedNutrition SurveysObesityRacial GroupsRisk FactorsAnticholesteremic AgentsAntihypertensive AgentsAgingBiomarkersObesitySmokingTime trends

Identifiers

PMID29511995
PMCPMC5897168

What Socratic 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 Socratic graph.