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81 Occupation Complexity Mediates the Association between Education and Self-Reported Cognitive and Functional Decline in 60-Year-Olds.

Authors :
Himmelstern, Jessie
Warren, John R
Grodsky, Eric
Muller, Chandra
Hung, Koit
Brickman, Adam
Manly, Jennifer
Source :
Journal of the International Neuropsychological Society; 2023 Supplement, Vol. 29, p384-385, 2p
Publication Year :
2023

Abstract

Objective: We ask about the degree to which the association between (1) the quantity and quality of people's education and (2) midlife self-reported concerns about cognition and daily function is mediated by occupational complexity. The overarching hypothesis is that amount and quality of education provides people with access to better jobs, including jobs that are more cognitively complex. Occupational complexity, in turn, may be protective against cognitive impairment. If true, this means that part of the poorly-understood connection between education and cognitive impairment can be attributed to occupational complexity. Participants and Methods: We use data from a nationally representative sample of 13,525 people who participated in the 2021 wave of the High School & Beyond (HSB) cohort study. HSB began in 1980 with a nationally-representative sample of American 10th and 12th grade students; these students have been followed up on six occasions since 1980, yielding extraordinary and prospectively-collected life course data on all key measures for a large, multicultural sample. In 2021, HSB sample members were evaluated with neuropsychological tests that evaluated list learning and memory, semantic and letter fluency, and working memory. They were also asked to self-report memory and functional decline using the AD8, using a cutoff of 2 or more items for significant concerns. Mild Cognitive Impairment will be identified using an algorithm validated in a similar sample of middle aged participants. HSB surveys gathered information about sample members' labor force activities in every survey between 1980 and 2021, including information sufficient to code verbatim reports of occupations to the standards of the 2010 Standard Occupational Classification. We have linked these codes for sample members' 2013 and 2021 occupations to the O*Net database, which includes extensive information about the cognitive complexity (and other attributes) of every occupation. Measures of key confounders—including social and economic background; demographic characteristics; educational contexts, opportunities, and attainments that are associated with labor force outcomes; adolescent achievement test scores; and aspects of midlife occupations besides complexity (e.g., how well they pay)—were measured prospectively and in great detail in the surveys administered between the 1980s and 2021. We estimate logistic regression models predicting significant cognitive and functional concerns as a function of educational contexts, opportunities, and outcomes; we also estimate models that account for the confounders listed above. Our main focus is on coefficients for education in models that do and do not include occupational complexity as a mediator. All models account for the clustered sampling design of HSB and use sampling weights to account for HSB's complex sampling design and selective attrition from the panel. Results: Nearly one in five cohort members had significant cognitive and functional concerns; rates are lower for non-Latinx Whites and for better educated people. Associations between educational contexts, opportunities, and outcomes (including attainment) are robust, even after adjusting for confounders. Between one quarter and one third of the conditional association between education and self-reported cognitive and functional concerns can be attributed to occupational complexity. Conclusions: Occupational complexity is an important pathway through which more and better education protects people from concerns about cognitive and functional decline at about age 60. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13556177
Volume :
29
Database :
Complementary Index
Journal :
Journal of the International Neuropsychological Society
Publication Type :
Academic Journal
Accession number :
174519706
Full Text :
https://doi.org/10.1017/S1355617723005179