Literature DB >> 28595670

Healthy cognitive ageing in the Lothian Birth Cohort studies: marginal gains not magic bullet.

J Corley1, S R Cox1, I J Deary1.   

Abstract

In the face of shifting demographics and an increase in human longevity, it is important to examine carefully what is known about cognitive ageing, and to identify and promote possibly malleable lifestyle and health-related factors that might mitigate age-associated cognitive decline. The Lothian Birth Cohorts of 1921 (LBC1921, n = 550) and 1936 (LBC1936, n = 1091) are longitudinal studies of cognitive and brain ageing based in Scotland. Childhood IQ data are available for these participants, who were recruited in later life and then followed up regularly. This overview summarises some of the main LBC findings to date, illustrating the possible genetic and environmental contributions to cognitive function (level and change) and brain imaging biomarkers in later life. Key associations include genetic variation, health and fitness, psychosocial and lifestyle factors, and aspects of the brain's structure. It addresses some key methodological issues such as confounding by early-life intelligence and social factors and emphasises areas requiring further investigation. Overall, the findings that have emerged from the LBC studies highlight that there are multiple correlates of cognitive ability level in later life, many of which have small effects, that there are as yet few reliable predictors of cognitive change, and that not all of the correlates have independent additive associations. The concept of marginal gains, whereby there might be a cumulative effect of small incremental improvements across a wide range of lifestyle and health-related factors, may offer a useful way to think about and promote a multivariate recipe for healthy cognitive and brain ageing.

Entities:  

Keywords:  Cognitive ageing; brain imaging; genetic variation; health; intelligence; lifestyle factors

Mesh:

Substances:

Year:  2017        PMID: 28595670     DOI: 10.1017/S0033291717001489

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  23 in total

1.  Influence of young adult cognitive ability and additional education on later-life cognition.

Authors:  William S Kremen; Asad Beck; Jeremy A Elman; Daniel E Gustavson; Chandra A Reynolds; Xin M Tu; Mark E Sanderson-Cimino; Matthew S Panizzon; Eero Vuoksimaa; Rosemary Toomey; Christine Fennema-Notestine; Donald J Hagler; Bin Fang; Anders M Dale; Michael J Lyons; Carol E Franz
Journal:  Proc Natl Acad Sci U S A       Date:  2019-01-22       Impact factor: 11.205

Review 2.  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

3.  Improved Cognitive Function in the Tromsø Study in Norway From 2001 to 2016.

Authors:  Bente Johnsen; Bjørn Heine Strand; Ieva Martinaityte; Ellisiv B Mathiesen; Henrik Schirmer
Journal:  Neurol Clin Pract       Date:  2021-12

4.  Education, Occupational Complexity, and Incident Dementia: A COSMIC Collaborative Cohort Study.

Authors:  Jinshil Hyun; Charles B Hall; Mindy J Katz; Carol A Derby; Darren M Lipnicki; John D Crawford; Antonio Guaita; Roberta Vaccaro; Annalisa Davin; Ki Woong Kim; Ji Won Han; Jong Bin Bae; Susanne Röhr; Steffi Riedel-Heller; Mary Ganguli; Erin Jacobsen; Tiffany F Hughes; Henry Brodaty; Nicole A Kochan; Julian Trollor; Antonio Lobo; Javier Santabarbara; Raul Lopez-Anton; Perminder S Sachdev; Richard B Lipton
Journal:  J Alzheimers Dis       Date:  2022       Impact factor: 4.472

5.  Aging-Sensitive Networks Within the Human Structural Connectome Are Implicated in Late-Life Cognitive Declines.

Authors:  James W Madole; Stuart J Ritchie; Simon R Cox; Colin R Buchanan; Maria Valdés Hernández; Susana Muñoz Maniega; Joanna M Wardlaw; Mathew A Harris; Mark E Bastin; Ian J Deary; Elliot M Tucker-Drob
Journal:  Biol Psychiatry       Date:  2020-06-15       Impact factor: 13.382

6.  The MRi-Share database: brain imaging in a cross-sectional cohort of 1870 university students.

Authors:  Ami Tsuchida; Alexandre Laurent; Fabrice Crivello; Laurent Petit; Marc Joliot; Antonietta Pepe; Naka Beguedou; Marie-Fateye Gueye; Violaine Verrecchia; Victor Nozais; Laure Zago; Emmanuel Mellet; Stéphanie Debette; Christophe Tzourio; Bernard Mazoyer
Journal:  Brain Struct Funct       Date:  2021-07-20       Impact factor: 3.270

7.  Markers of kidney function, genetic variation related to cognitive function, and cognitive performance in the UK Biobank.

Authors:  Erin L Richard; Linda K McEvoy; Ian J Deary; Gail Davies; Steven Y Cao; Eyal Oren; John E Alcaraz; Andrea Z LaCroix; Jan Bressler; Rany M Salem
Journal:  BMC Nephrol       Date:  2022-04-27       Impact factor: 2.585

8.  Three major dimensions of human brain cortical ageing in relation to cognitive decline across the eighth decade of life.

Authors:  I J Deary; E M Tucker-Drob; S R Cox; M A Harris; S J Ritchie; C R Buchanan; M C Valdés Hernández; J Corley; A M Taylor; J W Madole; S E Harris; H C Whalley; A M McIntosh; T C Russ; M E Bastin; J M Wardlaw
Journal:  Mol Psychiatry       Date:  2021-01-04       Impact factor: 13.437

9.  Cohort Profile Update: The Lothian Birth Cohorts of 1921 and 1936.

Authors:  Adele M Taylor; Alison Pattie; Ian J Deary
Journal:  Int J Epidemiol       Date:  2018-08-01       Impact factor: 7.196

10.  Impact of COVID-19 lockdown on psychosocial factors, health, and lifestyle in Scottish octogenarians: The Lothian Birth Cohort 1936 study.

Authors:  Adele M Taylor; Danielle Page; Judith A Okely; Janie Corley; Miles Welstead; Barbora Skarabela; Paul Redmond; Tom C Russ; Simon R Cox
Journal:  PLoS One       Date:  2021-06-17       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.