Skip to main content
construction release_alert
Scholars@Duke will be undergoing maintenance April 11-15. Some features may be unavailable during this time.
cancel
Journal cover image

Early-Life Intelligence Predicts Midlife Biological Age.

Publication ,  Journal Article
Schaefer, JD; Caspi, A; Belsky, DW; Harrington, H; Houts, R; Israel, S; Levine, ME; Sugden, K; Williams, B; Poulton, R; Moffitt, TE
Published in: The journals of gerontology. Series B, Psychological sciences and social sciences
November 2016

Early-life intelligence has been shown to predict multiple causes of death in populations around the world. This finding suggests that intelligence might influence mortality through its effects on a general process of physiological deterioration (i.e., individual variation in "biological age"). We examined whether intelligence could predict measures of aging at midlife before the onset of most age-related disease.We tested whether intelligence assessed in early childhood, middle childhood, and midlife predicted midlife biological age in members of the Dunedin Study, a population-representative birth cohort.Lower intelligence predicted more advanced biological age at midlife as captured by perceived facial age, a 10-biomarker algorithm based on data from the National Health and Nutrition Examination Survey (NHANES), and Framingham heart age (r = 0.1-0.2). Correlations between intelligence and telomere length were less consistent. The associations between intelligence and biological age were not explained by differences in childhood health or parental socioeconomic status, and intelligence remained a significant predictor of biological age even when intelligence was assessed before Study members began their formal schooling.These results suggest that accelerated aging may serve as one of the factors linking low early-life intelligence to increased rates of morbidity and mortality.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

The journals of gerontology. Series B, Psychological sciences and social sciences

DOI

EISSN

1758-5368

ISSN

1079-5014

Publication Date

November 2016

Volume

71

Issue

6

Start / End Page

968 / 977

Related Subject Headings

  • Telomere
  • New Zealand
  • Male
  • Intelligence
  • Humans
  • Human Development
  • Gerontology
  • Female
  • Cohort Studies
  • Child, Preschool
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Schaefer, J. D., Caspi, A., Belsky, D. W., Harrington, H., Houts, R., Israel, S., … Moffitt, T. E. (2016). Early-Life Intelligence Predicts Midlife Biological Age. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 71(6), 968–977. https://doi.org/10.1093/geronb/gbv035
Schaefer, Jonathan D., Avshalom Caspi, Daniel W. Belsky, Honalee Harrington, Renate Houts, Salomon Israel, Morgan E. Levine, et al. “Early-Life Intelligence Predicts Midlife Biological Age.The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences 71, no. 6 (November 2016): 968–77. https://doi.org/10.1093/geronb/gbv035.
Schaefer JD, Caspi A, Belsky DW, Harrington H, Houts R, Israel S, et al. Early-Life Intelligence Predicts Midlife Biological Age. The journals of gerontology Series B, Psychological sciences and social sciences. 2016 Nov;71(6):968–77.
Schaefer, Jonathan D., et al. “Early-Life Intelligence Predicts Midlife Biological Age.The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, vol. 71, no. 6, Nov. 2016, pp. 968–77. Epmc, doi:10.1093/geronb/gbv035.
Schaefer JD, Caspi A, Belsky DW, Harrington H, Houts R, Israel S, Levine ME, Sugden K, Williams B, Poulton R, Moffitt TE. Early-Life Intelligence Predicts Midlife Biological Age. The journals of gerontology Series B, Psychological sciences and social sciences. 2016 Nov;71(6):968–977.
Journal cover image

Published In

The journals of gerontology. Series B, Psychological sciences and social sciences

DOI

EISSN

1758-5368

ISSN

1079-5014

Publication Date

November 2016

Volume

71

Issue

6

Start / End Page

968 / 977

Related Subject Headings

  • Telomere
  • New Zealand
  • Male
  • Intelligence
  • Humans
  • Human Development
  • Gerontology
  • Female
  • Cohort Studies
  • Child, Preschool