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Inter-connected trends in cognitive aging and depression: Evidence from the health and retirement study

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  • Oi, Katsuya

Abstract

The cohort process of cognitive aging is a contested topic in population research. The literature is largely in disagreement over how and why inter-cohort trends in cognitive aging occur in the United States. This paper examines significant trends in the rate of cognitive decline and conceptualizes the role of the depression trajectory as a late life course process that accelerates cognitive aging at the individual and population level. To this end, I draw my study sample from the Health and Retirement Study (N=24,678) and use aging-vector models as an extension of parallel-process latent growth modeling to analyze repeated measures of cognition and depression. Findings show the acceleration of cognitive decline (“negative” Flynn Effect) and worsening of depression risk for recent cohorts. The upward trends in depression account for significant acceleration in cognitive decline among later cohorts, thus providing a new insight into socio-genic population dynamics of cognitive aging.

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  • Oi, Katsuya, 2017. "Inter-connected trends in cognitive aging and depression: Evidence from the health and retirement study," Intelligence, Elsevier, vol. 63(C), pages 56-65.
    • Handle: RePEc:eee:intell:v:63:y:2017:i:c:p:56-65
    DOI: 10.1016/j.intell.2017.05.004
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    1. John Mirowsky, 2011. "Cognitive Decline and the Default American Lifestyle," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 66(suppl_1), pages 50-58.
    2. Duane F. Alwin & Scott M. Hofer, 2011. "Health and Cognition in Aging Research," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 66(suppl_1), pages 9-16.
    3. Deborah Finkel & Chandra A. Reynolds & John J. McArdle & Nancy L. Pedersen, 2007. "Cohort Differences in Trajectories of Cognitive Aging," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 62(5), pages 286-294.
    4. Ryan P. Bowles & Kevin J. Grimm & John J. McArdle, 2005. "A Structural Factor Analysis of Vocabulary Knowledge and Relations to Age," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 60(5), pages 234-241.
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    1. Oi, Katsuya, 2020. "Disuse as time away from a cognitively demanding job; how does it temporally or developmentally impact late-life cognition?," Intelligence, Elsevier, vol. 82(C).

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