Literature DB >> 20973608

Stability and change in intelligence from age 11 to ages 70, 79, and 87: the Lothian Birth Cohorts of 1921 and 1936.

Alan J Gow1, Wendy Johnson, Alison Pattie, Caroline E Brett, Beverly Roberts, John M Starr, Ian J Deary.   

Abstract

Investigating the predictors of age-related cognitive change is a research priority. However, it is first necessary to discover the long-term stability of measures of cognitive ability because prior cognitive ability level might contribute to the amount of cognitive change experienced within old age. These two issues were examined in the Lothian Birth Cohorts of 1921 and 1936. Cognitive ability data were available from age 11 years when the participants completed the Moray House Test No. 12 (MHT). The Lothian Birth Cohort 1936 (LBC1936) completed the MHT a second time at age 70. The Lothian Birth Cohort 1921 (LBC1921) completed the MHT at ages 79 and 87. We examined cognitive stability and change from childhood to old age in both cohorts, and within old age in the LBC1921. Raw stability coefficients for the MHT from 11-70, 11-79, and 11-87 years were .67, .66, and .51, respectively; and larger when corrected for range restriction in the samples. Therefore, minimum estimates of the variance in later-life MHT accounted for by childhood performance on the same test ranged from 26-44%. This study also examined, in the LBC1921, whether MHT score at age 11 influenced the amount of change in MHT between ages 79 and 87. It did not. Higher intelligence from early life was apparently protective of intelligence in old age due to the stability of cognitive function across the lifespan, rather than because it slowed the decline experienced in later life. (c) 2011 APA, all rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 20973608     DOI: 10.1037/a0021072

Source DB:  PubMed          Journal:  Psychol Aging        ISSN: 0882-7974


  44 in total

1.  A stairway to heaven? Structure of the religious involvement inventory and spiritual well-being scale.

Authors:  Alan J Gow; Roger Watson; Martha Whiteman; Ian J Deary
Journal:  J Relig Health       Date:  2011-03

2.  Cognition level and change in cognition during adolescence are associated with cognition in midlife.

Authors:  Golareh Agha; Katrina Kezios; Andrea A Baccarelli; F DuBois Bowman; Virginia Rauh; Ezra S Susser; Barbara Cohn; Piera Cirillo; Bruce G Link; Pam Factor-Litvak; Ursula M Staudinger
Journal:  Ann Epidemiol       Date:  2019-04-03       Impact factor: 3.797

Review 3.  Comparing the Developmental Genetics of Cognition and Personality over the Life Span.

Authors:  Daniel A Briley; Elliot M Tucker-Drob
Journal:  J Pers       Date:  2015-06-25

4.  An evaluation of analytical approaches for understanding change in cognition in the context of aging and health.

Authors:  Andrea M Piccinin; Graciela Muniz; Catharine Sparks; Daniel E Bontempo
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2011-07       Impact factor: 4.077

5.  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

Review 6.  The genetics of human ageing.

Authors:  David Melzer; Luke C Pilling; Luigi Ferrucci
Journal:  Nat Rev Genet       Date:  2019-11-05       Impact factor: 53.242

7.  Continuity of genetic and environmental influences on cognition across the life span: a meta-analysis of longitudinal twin and adoption studies.

Authors:  Elliot M Tucker-Drob; Daniel A Briley
Journal:  Psychol Bull       Date:  2014-03-10       Impact factor: 17.737

8.  Learning impairments identified early in life are predictive of future impairments associated with aging.

Authors:  Rikki Hullinger; Corinna Burger
Journal:  Behav Brain Res       Date:  2015-08-14       Impact factor: 3.332

9.  Subclinical cognitive decline in middle-age is associated with reduced task-induced deactivation of the brain's default mode network.

Authors:  Naja Liv Hansen; Martin Lauritzen; Erik Lykke Mortensen; Merete Osler; Kirsten Avlund; Birgitte Fagerlund; Egill Rostrup
Journal:  Hum Brain Mapp       Date:  2014-02-27       Impact factor: 5.038

Review 10.  Cognitive genomics: Searching for the genetic roots of neuropsychological functioning.

Authors:  Carrie E Bearden; David C Glahn
Journal:  Neuropsychology       Date:  2017-11       Impact factor: 3.295

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.