Literature DB >> 26523694

Is age really cruel to experts? Compensatory effects of activity.

Nemanja Vaci1, Bartosz Gula1, Merim Bilalić1.   

Abstract

Age-related decline may not be as pronounced in complex activities as it is in basic cognitive processes, but ability deterioration with age is difficult to deny. However, studies disagree on whether age is kinder to more able people than it is to their less able peers. In this article, we investigated the "age is kinder to the more able" hypothesis by using a chess database that contains activity records for both beginners and world-class players. The descriptive data suggested that the skill function across age captures the 3 phases as described in Simonton's model of career trajectories: initial rise to the peak of performance, postpeak decline, and eventual stabilization of decline. We therefore modeled the data with a linear mixed-effect model using the cubic function that captures 3 phases. The results show that age may be kind to the more able in a subtler manner than has previously been assumed. After reaching the peak at around 38 years, the more able players deteriorated more quickly. Their decline, however, started to slow down at around 52 years, earlier than for less able players (57 years). Both the decline and its stabilization were significantly influenced by activity. The more players engaged in playing tournaments, the less they declined and the earlier they started to stabilize. The best experts may not be immune to aging, but their previously acquired expertise and current activity enable them to maintain high levels of skill even at an advanced age. (c) 2015 APA, all rights reserved).

Entities:  

Mesh:

Year:  2015        PMID: 26523694     DOI: 10.1037/pag0000056

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


  7 in total

1.  The joint influence of intelligence and practice on skill development throughout the life span.

Authors:  Nemanja Vaci; Peter Edelsbrunner; Elsbeth Stern; Aljoscha Neubauer; Merim Bilalić; Roland H Grabner
Journal:  Proc Natl Acad Sci U S A       Date:  2019-08-26       Impact factor: 11.205

Review 2.  A Framework for Choosing Technology Interventions to Promote Successful Longevity: Prevent, Rehabilitate, Augment, Substitute (PRAS).

Authors:  Neil Charness
Journal:  Gerontology       Date:  2019-09-05       Impact factor: 5.140

3.  What Has the Study of Digital Games Contributed to the Science of Expert Behavior?

Authors:  Neil Charness
Journal:  Top Cogn Sci       Date:  2017-02-07

4.  Maintenance, reserve and compensation: the cognitive neuroscience of healthy ageing.

Authors:  Roberto Cabeza; Marilyn Albert; Sylvie Belleville; Fergus I M Craik; Audrey Duarte; Cheryl L Grady; Ulman Lindenberger; Lars Nyberg; Denise C Park; Patricia A Reuter-Lorenz; Michael D Rugg; Jason Steffener; M Natasha Rajah
Journal:  Nat Rev Neurosci       Date:  2018-11       Impact factor: 34.870

5.  Chess databases as a research vehicle in psychology: Modeling large data.

Authors:  Nemanja Vaci; Merim Bilalić
Journal:  Behav Res Methods       Date:  2017-08

Review 6.  N-of-1 Clinical Trials in Nutritional Interventions Directed at Improving Cognitive Function.

Authors:  Natalia Soldevila-Domenech; Anna Boronat; Klaus Langohr; Rafael de la Torre
Journal:  Front Nutr       Date:  2019-07-23

7.  Large data and Bayesian modeling-aging curves of NBA players.

Authors:  Nemanja Vaci; Dijana Cocić; Bartosz Gula; Merim Bilalić
Journal:  Behav Res Methods       Date:  2019-08
  7 in total

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