Literature DB >> 31820295

Midlife Study of the Louisville Twins: Connecting Cognitive Development to Biological and Cognitive Aging.

Christopher R Beam1, Eric Turkheimer2, Deborah Finkel3,4, Morgan E Levine5, Ebrahim Zandi6, Thomas M Guterbock7, Evan J Giangrande2, Lesa Ryan8, Natalie Pasquenza8, Deborah Winders Davis8.   

Abstract

The Louisville Twin Study (LTS) began in 1958 and became a premier longitudinal twin study of cognitive development. The LTS continuously collected data from twins through 2000 after which the study closed indefinitely due to lack of funding. Now that the majority of the sample is age 40 or older (61.36%, N = 1770), the LTS childhood data can be linked to midlife cognitive functioning, among other physical, biological, social, and psychiatric outcomes. We report results from two pilot studies in anticipation of beginning the midlife phase of the LTS. The first pilot study was a participant tracking study, in which we showed that approximately 90% of the Louisville families randomly sampled (N = 203) for the study could be found. The second pilot study consisted of 40 in-person interviews in which twins completed cognitive, memory, biometric, and functional ability measures. The main purpose of the second study was to correlate midlife measures of cognitive functioning to a measure of biological age, which is an alternative index to chronological age that quantifies age as a function of the breakdown of structural and functional physiological systems, and then to relate both of these measures to twins' cognitive developmental trajectories. Midlife IQ was uncorrelated with biological age (- .01) while better scores on episodic memory more strongly correlated with lower biological age (- .19 to - .31). As expected, midlife IQ positively correlated with IQ measures collected throughout childhood and adolescence. Additionally, positive linear rates of change in FSIQ scores in childhood significantly correlated with biological age (- .68), physical functioning (.71), and functional ability (- .55), suggesting that cognitive development predicts lower biological age, better physical functioning, and better functional ability. In sum, the Louisville twins can be relocated to investigate whether and how early and midlife cognitive and physical health factors contribute to cognitive aging.

Entities:  

Keywords:  Aging; Cognitive ability; Developmental behavioral genetics; Louisville Twin Study

Mesh:

Year:  2019        PMID: 31820295      PMCID: PMC7033012          DOI: 10.1007/s10519-019-09983-6

Source DB:  PubMed          Journal:  Behav Genet        ISSN: 0001-8244            Impact factor:   2.805


  45 in total

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2.  Applying Biometric Growth Curve Models to Developmental Synchronies in Cognitive Development: The Louisville Twin Study.

Authors:  Deborah Finkel; Deborah Winders Davis; Eric Turkheimer; William T Dickens
Journal:  Behav Genet       Date:  2015-09-21       Impact factor: 2.805

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Journal:  JAMA Psychiatry       Date:  2018-01-01       Impact factor: 21.596

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5.  Beta-amyloid and cognitive decline in late middle age: Findings from the Wisconsin Registry for Alzheimer's Prevention study.

Authors:  Lindsay R Clark; Annie M Racine; Rebecca L Koscik; Ozioma C Okonkwo; Corinne D Engelman; Cynthia M Carlsson; Sanjay Asthana; Barbara B Bendlin; Rick Chappell; Christopher R Nicholas; Howard A Rowley; Jennifer M Oh; Bruce P Hermann; Mark A Sager; Bradley T Christian; Sterling C Johnson
Journal:  Alzheimers Dement       Date:  2016-01-21       Impact factor: 21.566

6.  Large Cross-National Differences in Gene × Socioeconomic Status Interaction on Intelligence.

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7.  DNA methylation-based measures of biological age: meta-analysis predicting time to death.

Authors:  Brian H Chen; Riccardo E Marioni; Elena Colicino; Marjolein J Peters; Cavin K Ward-Caviness; Pei-Chien Tsai; Nicholas S Roetker; Allan C Just; Ellen W Demerath; Weihua Guan; Jan Bressler; Myriam Fornage; Stephanie Studenski; Amy R Vandiver; Ann Zenobia Moore; Toshiko Tanaka; Douglas P Kiel; Liming Liang; Pantel Vokonas; Joel Schwartz; Kathryn L Lunetta; Joanne M Murabito; Stefania Bandinelli; Dena G Hernandez; David Melzer; Michael Nalls; Luke C Pilling; Timothy R Price; Andrew B Singleton; Christian Gieger; Rolf Holle; Anja Kretschmer; Florian Kronenberg; Sonja Kunze; Jakob Linseisen; Christine Meisinger; Wolfgang Rathmann; Melanie Waldenberger; Peter M Visscher; Sonia Shah; Naomi R Wray; Allan F McRae; Oscar H Franco; Albert Hofman; André G Uitterlinden; Devin Absher; Themistocles Assimes; Morgan E Levine; Ake T Lu; Philip S Tsao; Lifang Hou; JoAnn E Manson; Cara L Carty; Andrea Z LaCroix; Alexander P Reiner; Tim D Spector; Andrew P Feinberg; Daniel Levy; Andrea Baccarelli; Joyce van Meurs; Jordana T Bell; Annette Peters; Ian J Deary; James S Pankow; Luigi Ferrucci; Steve Horvath
Journal:  Aging (Albany NY)       Date:  2016-09-28       Impact factor: 5.682

Review 8.  NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease.

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Journal:  Alzheimers Dement       Date:  2018-04       Impact factor: 21.566

Review 9.  Plasma amyloid beta measurements - a desired but elusive Alzheimer's disease biomarker.

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Journal:  Alzheimers Res Ther       Date:  2013-03-08       Impact factor: 6.982

10.  CATSLife: A Study of Lifespan Behavioral Development and Cognitive Functioning.

Authors:  Sally J Wadsworth; Robin P Corley; Elizabeth Munoz; B Paige Trubenstein; Elijah Knaap; John C DeFries; Robert Plomin; Chandra A Reynolds
Journal:  Twin Res Hum Genet       Date:  2019-09-24       Impact factor: 1.587

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  1 in total

1.  Socioeconomic status impacts genetic influences on the longitudinal dynamic relationship between temperament and general cognitive ability in childhood: The Louisville Twin Study.

Authors:  Deborah Finkel; Deborah W Davis; Evan J Giangrande; Sean Womack; Eric Turkheimer; Christopher Beam
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  1 in total

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