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Early-Life Intelligence Predicts Midlife Biological Age
Jonathan D. Schaefer
, Avshalom Caspi
, Daniel W. Belsky
, Honalee Harrington
, Renate Houts
, Salomon Israel
, Morgan E. Levine
, Karen Sugden
, Benjamin Williams
, Richie Poulton
, Terrie E. Moffitt
Research output
:
Contribution to journal
›
Article
›
peer-review
30
Scopus citations
Overview
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Dive into the research topics of 'Early-Life Intelligence Predicts Midlife Biological Age'. Together they form a unique fingerprint.
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Medicine and Dentistry
Biological Marker
100%
Deterioration
100%
Socioeconomic Status
100%
Accelerated Aging
100%
Telomere
100%
National Health and Nutrition Examination Survey
100%
Diseases
100%
Keyphrases
Biological Age
100%
NHANES
16%
Aging
16%
Children's Health
16%
Early childhood
16%
National Health Interview Survey
16%
Framingham
16%
Significant Predictors
16%
Middle childhood
16%
Telomere Length
16%
Birth Cohort
16%
Accelerated Aging
16%
Formal Schooling
16%
Parental Socioeconomic Status
16%
Low Intelligence
16%
Population-representative
16%
Dunedin
16%
Multiple Causes of Death
16%
Physiological Deterioration
16%
Facial Age
16%
Age-related Illnesses
16%
Heart Aging
16%
Immunology and Microbiology
Telomere Length
100%
Biochemistry, Genetics and Molecular Biology
Telomere Length
100%