Literature DB >> 24084038

The stability of intelligence from age 11 to age 90 years: the Lothian birth cohort of 1921.

Ian J Deary1, Alison Pattie, John M Starr.   

Abstract

As a foundation for studies of human cognitive aging, it is important to know the stability of individual differences in cognitive ability across the life course. Few studies of cognitive ability have tested the same individuals in youth and old age. We examined the stability and concurrent and predictive validity of individual differences in the same intelligence test administered to the same individuals (the Lothian Birth Cohort of 1921, N = 106) at ages 11 and 90 years. The correlation of Moray House Test scores between age 11 and age 90 was .54 (.67 when corrected for range restriction). This is a valuable foundation for estimating the extent to which cognitive-ability differences in very old age are accounted for by the lifelong stable trait and by the causes of cognitive change across the life course. Moray House Test scores showed strong concurrent and predictive validity with "gold standard" cognitive tests at ages 11 and 90.

Entities:  

Keywords:  IQ; Lothian Birth Cohort; Moray House Test; Scottish Mental Survey; aging; cognition; intelligence; longitudinal study

Mesh:

Year:  2013        PMID: 24084038     DOI: 10.1177/0956797613486487

Source DB:  PubMed          Journal:  Psychol Sci        ISSN: 0956-7976


  35 in total

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2.  Early life instruction in foreign language and music and incidence of mild cognitive impairment.

Authors:  Robert S Wilson; Patricia A Boyle; Jingyun Yang; Bryan D James; David A Bennett
Journal:  Neuropsychology       Date:  2014-08-11       Impact factor: 3.295

3.  The Origins of Cognitive Deficits in Victimized Children: Implications for Neuroscientists and Clinicians.

Authors:  Andrea Danese; Terrie E Moffitt; Louise Arseneault; Ben A Bleiberg; Perry B Dinardo; Stephanie B Gandelman; Renate Houts; Antony Ambler; Helen L Fisher; Richie Poulton; Avshalom Caspi
Journal:  Am J Psychiatry       Date:  2016-10-31       Impact factor: 18.112

4.  White matter connectomes at birth accurately predict cognitive abilities at age 2.

Authors:  Jessica B Girault; Brent C Munsell; Danaële Puechmaille; Barbara D Goldman; Juan C Prieto; Martin Styner; John H Gilmore
Journal:  Neuroimage       Date:  2019-02-27       Impact factor: 6.556

5.  The Predictive Value of Developmental Assessments at 1 and 2 for Intelligence Quotients at 6.

Authors:  Jessica B Girault; Benjamin W Langworthy; Barbara D Goldman; Rebecca L Stephens; Emil Cornea; J Steven Reznick; Jason Fine; John H Gilmore
Journal:  Intelligence       Date:  2018-03-16

6.  Linear and nonlinear relationships between cognitive subdomains of ability discrepancy and Alzheimer's disease biomarkers.

Authors:  Ian M McDonough; Taylor E Popp
Journal:  Neuropsychology       Date:  2019-12-02       Impact factor: 3.295

7.  A distributed brain network predicts general intelligence from resting-state human neuroimaging data.

Authors:  Julien Dubois; Paola Galdi; Lynn K Paul; Ralph Adolphs
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-09-26       Impact factor: 6.237

8.  Have Standard Formulas Correcting Correlations for Range Restriction Been Adequately Tested?: Minor Sampling Distribution Quirks Distort Them.

Authors:  Wendy Johnson; Ian J Deary; Thomas J Bouchard
Journal:  Educ Psychol Meas       Date:  2017-10-26       Impact factor: 2.821

9.  Genetic analyses benefit from using less heterogeneous phenotypes: an illustration with the hospital anxiety and depression scale (HADS).

Authors:  Charles A Laurin; Jouke-Jan Hottenga; Gonneke Willemsen; Dorret I Boomsma; Gitta H Lubke
Journal:  Genet Epidemiol       Date:  2015-04-01       Impact factor: 2.135

Review 10.  The new genetics of intelligence.

Authors:  Robert Plomin; Sophie von Stumm
Journal:  Nat Rev Genet       Date:  2018-01-08       Impact factor: 53.242

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