Literature DB >> 17874952

Latent variable analyses of age trends of cognition in the Health and Retirement Study, 1992-2004.

John J McArdle1, Gwenith G Fisher2, Kelly M Kadlec1.   

Abstract

The present study was conducted to better describe age trends in cognition among older adults in the longitudinal Health and Retirement Study (HRS) from 1992 to 2004 (N = 17,000). The authors used contemporary latent variable models to organize this information in terms of both cross-sectional and longitudinal inferences about age and cognition. Common factor analysis results yielded evidence for at least 2 common factors, labeled Episodic Memory and Mental Status, largely separable from vocabulary. Latent path models with these common factors were based on demographic characteristics. Multilevel models of factorial invariance over age indicated that at least 2 common factors were needed. Latent curve models of episodic memory were based on age at testing and showed substantial age differences and age changes, including impacts due to retesting as well as several time-invariant and time-varying predictors. (PsycINFO Database Record (c) 2007 APA, all rights reserved).

Entities:  

Mesh:

Year:  2007        PMID: 17874952     DOI: 10.1037/0882-7974.22.3.525

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


  78 in total

1.  Proxy interviews and bias in the distribution of cognitive abilities due to non-response in longitudinal studies: a comparison of HRS and ELSA.

Authors:  David Weir; Jessica Faul; Kenneth Langa
Journal:  Longit Life Course Stud       Date:  2011-05

2.  Cognitive function in the community setting: the neighbourhood as a source of 'cognitive reserve'?

Authors:  Philippa J Clarke; Jennifer A Ailshire; James S House; Jeffrey D Morenoff; Katherine King; Robert Melendez; Kenneth M Langa
Journal:  J Epidemiol Community Health       Date:  2011-04-22       Impact factor: 3.710

3.  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

4.  From Noise to Signal: The Age and Social Patterning of Intra-Individual Variability in Late-Life Health.

Authors:  Jielu Lin; Jessica A Kelley-Moore
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2015-08-29       Impact factor: 4.077

5.  Measurement Invariance of Cognitive Abilities Across Ethnicity, Gender, and Time Among Older Americans.

Authors:  A Nayena Blankson; John J McArdle
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2013-10-29       Impact factor: 4.077

6.  The effects of constraints and mastery on mental and physical health: Conceptual and methodological considerations.

Authors:  Frank J Infurna; Axel Mayer
Journal:  Psychol Aging       Date:  2015-05-04

7.  Monitoring cognitive functioning: psychometric properties of the brief test of adult cognition by telephone.

Authors:  Margie E Lachman; Stefan Agrigoroaei; Patricia A Tun; Suzanne L Weaver
Journal:  Assessment       Date:  2013-12-09

8.  Short-term longitudinal trends in cognitive performance in older adults with type 2 diabetes.

Authors:  Ashley L Fischer; Cindy M de Frias; Sophie E Yeung; Roger A Dixon
Journal:  J Clin Exp Neuropsychol       Date:  2009-02-17       Impact factor: 2.475

9.  Trajectories of cognitive function in late life in the United States: demographic and socioeconomic predictors.

Authors:  Arun S Karlamangla; Dana Miller-Martinez; Carol S Aneshensel; Teresa E Seeman; Richard G Wight; Joshua Chodosh
Journal:  Am J Epidemiol       Date:  2009-07-15       Impact factor: 4.897

10.  Health Outcomes and Socio-Economic Status Among the Elderly in Gansu and Zhejiang Provinces, China: Evidence from the CHARLS Pilot.

Authors:  John Strauss; Xiaoyan Lei; Albert Park; Yan Shen; James P Smith; Zhe Yang; Yaohui Zhao
Journal:  J Popul Ageing       Date:  2011-03-11
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.