Literature DB >> 8418144

Age differences in cognitive performance in later life: relationships to self-reported health and activity life style.

D F Hultsch1, M Hammer, B J Small.   

Abstract

The predictive relationships among individual differences in self-reported physical health and activity life style and performance on an array of information processing and intellectual ability measures were examined. A sample of 484 men and women aged 55 to 86 years completed a battery of cognitive tasks measuring verbal processing time, working memory, vocabulary, verbal fluency, world knowledge, word recall, and text recall. Hierarchical regression was used to predict performance on these tasks from measures of self-reported physical health, alcohol and tobacco use, and level of participation in everyday activities. The results indicated: (a) individual differences in self-reported health and activity predicted performance on multiple cognitive measures; (b) self-reported health was more predictive of processing resource variables than knowledge-based abilities; (c) interaction effects indicated that participation in cognitively demanding activities was more highly related to performance on some measures for older adults than for middle-aged adults; and (d) age-related differences in performance on multiple measures were attenuated by partialing individual differences in self-reported health and activity.

Entities:  

Mesh:

Substances:

Year:  1993        PMID: 8418144     DOI: 10.1093/geronj/48.1.p1

Source DB:  PubMed          Journal:  J Gerontol        ISSN: 0022-1422


  43 in total

1.  Demographic, physical, and mental health factors associated with deployment of U.S. Army soldiers to the Persian Gulf.

Authors:  N S Bell; P J Amoroso; J O Williams; M M Yore; C C Engel; L Senier; A C DeMattos; D H Wegman
Journal:  Mil Med       Date:  2000-10       Impact factor: 1.437

2.  Engagement in Adulthood: Perceptions and Participation in Daily Activities.

Authors:  Jeanine M Parisi
Journal:  Act Adapt Aging       Date:  2010

3.  Assessing adult leisure activities: an extension of a self-report activity questionnaire.

Authors:  Daniela S Jopp; Christopher Hertzog
Journal:  Psychol Assess       Date:  2010-03

4.  Tracking cognition-health changes from 55 to 95 years of age.

Authors:  Brent J Small; Roger A Dixon; John J McArdle
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2010-12-31       Impact factor: 4.077

5.  A growth curve model of learning acquisition among cognitively normal older adults.

Authors:  Richard N Jones; Adrienne L Rosenberg; John N Morris; Jason C Allaire; Karin J M McCoy; Michael Marsiske; Ken P Kleinman; George W Rebok; Paul F Malloy
Journal:  Exp Aging Res       Date:  2005 Jul-Sep       Impact factor: 1.645

6.  The ACTIVE study: study overview and major findings.

Authors:  Sharon L Tennstedt; Frederick W Unverzagt
Journal:  J Aging Health       Date:  2013-12

7.  Neuroprotective pathways: lifestyle activity, brain pathology, and cognition in cognitively normal older adults.

Authors:  Miranka Wirth; Claudia M Haase; Sylvia Villeneuve; Jacob Vogel; William J Jagust
Journal:  Neurobiol Aging       Date:  2014-02-20       Impact factor: 4.673

8.  Confucian Values as a Buffer Against Age-Based Stereotype Threat for Chinese Older Adults.

Authors:  Shyuan Ching Tan; Sarah J Barber
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2020-02-14       Impact factor: 4.077

9.  The association between computer use and cognition across adulthood: use it so you won't lose it?

Authors:  Patricia A Tun; Margie E Lachman
Journal:  Psychol Aging       Date:  2010-09

10.  Genetic and environmental mediation of the associations between self-rated health and cognitive abilities.

Authors:  Pia Svedberg; Margaret Gatz; Nancy L Pedersen
Journal:  Exp Aging Res       Date:  2009 Apr-Jun       Impact factor: 1.645

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.