Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2011 Jul;47(4):1026-41.
doi: 10.1037/a0023426.

Cohort differences in cognitive aging and terminal decline in the Seattle Longitudinal Study

Affiliations

Cohort differences in cognitive aging and terminal decline in the Seattle Longitudinal Study

Denis Gerstorf et al. Dev Psychol. 2011 Jul.

Abstract

Life span researchers have long been interested in how and why fundamental aspects of human ontogeny differ between cohorts of people who have lived through different historical epochs. When examined at the same age, later born cohorts are often cognitively and physically fitter than earlier born cohorts. Less is known, however, about cohort differences in the rate of cognitive aging and if, at the very end of life, pervasive mortality-related processes overshadow and minimize cohort differences. We used data on 5 primary mental abilities from the Seattle Longitudinal Study (Schaie, 2005) to compare both age-related and mortality-related changes between earlier born cohorts (1886-1913) and later born cohorts (1914-1948). Our models covary for several individual and cohort differences in central indicators of life expectancy, education, health, and gender. Age-related growth models corroborate and extend earlier findings by documenting level differences at age 70 of up to 0.50 SD and less steep rates of cognitive aging on all abilities between 50 and 80 years of age favoring the later born cohort. In contrast, mortality-related models provide limited support for positive cohort differences. The later born cohort showed steeper mortality-related declines. We discuss possible reasons why often reported positive secular trends in age-related processes may not generalize to the vulnerable segment of the population that is close to death and suggest routes for further inquiry.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Frequency of observations in the Seattle Longitudinal Study in relation to chronological age (Panel A) and time-to-death (Panel B), separately for the two birth cohorts. For the age models, each cohort encompassed more than 700 participants who contributed more than 2,400 data points each over a 30-year observation period that was, on average, comparable across cohorts. For the time-to-death models, each cohort encompassed more than 280 participants who contributed more than 900 data points each over a 25-year observation period that was, on average, comparable across cohorts.
Figure 2
Figure 2
Illustrating cohort differences in cognitive aging from age 50 to age 80 on Thurstone’s five primary mental abilities of spatial orientation, inductive reasoning, word fluency, number, and verbal meaning, after residualizing for differences in education (years of schooling), health (circulatory disease and cancer), and gender. Except on number ability, later born cohorts (solid lines) outperformed earlier born cohorts (dashed lines) at age 70 by up to 0.50 SD and also showed shallower rates of cognitive decline on all abilities.
Figure 3
Figure 3
Illustrating cohort differences in terminal decline on Thurstone’s five primary mental abilities of spatial orientation, inductive reasoning, word fluency, number, and verbal meaning, after residualizing for differences in age at study entry, age at death, education (years of schooling), health (circulatory disease and cancer), and gender. Mortality-related models suggest no evidence for positive secular trends except on verbal meaning. In contrast, later born cohorts (solid lines) showed steeper mortality-related declines than earlier born cohorts (dashed lines) on four of the five abilities tested.

References

    1. Aldwin CM, Spiro A, III, Park CL. Health, behaviors, and optimal aging: A lifespan developmental perspective. In: Birren JE, Schaie KW, editors. Handbook of the psychology of aging. 6th ed. Elsevier; San Diego, CA: 2006. pp. 85–104.
    1. National Cancer Institute Altekruse SF, Kosary CL, Krapcho M, Neyman N, Aminou R, Waldron W, Edwards BK, editors. SEER cancer statistics review, 1975–2007. 2009 Retrieved from the. web-site: http://seer.cancer.gov/csr/1975_2007.
    1. Alwin DF. History, cohort, and patterns of cognitive aging. In: Hofer SM, Alwin DF, editors. Handbook of cognitive aging: Interdisciplinary perspectives. Sage; Thousand Oaks, CA: 2008. pp. 9–38.
    1. Alwin DF, McCammon RJ. Aging, cohorts, and verbal ability. Journals of Gerontology: Series B: Psychological Sciences and Social Sciences. 2001;56:P151–P161. - PubMed
    1. Anstey K, Christensen H. Education, activity, health, blood pressure and apolipoprotein E as predictors of cognitive change in old age: A review. Gerontology. 2000;46:163–177. doi:10.1159/000022153. - PubMed

Publication types