Role of cumulative biological risk in mediating socioeconomic disparities in cognitive function in the elderly: A mediation analysis

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Abstract

Objectives To evaluate whether allostatic load (AL), a measure of cumulative biological risk, fully or partially mediates observed socioeconomic status (SES) differences in cognitive function in the elderly. Design Cross-sectional mediation analysis. Setting Community-dwelling US elderly who participated in the National Health and Nutrition Examination Survey (NHANES). Participants The NHANES uses a complex, multistage, probability sampling design to select a nationally representative sample. Of the 4976 elderly (60 years or older) who were selected, 3234 agreed to participate in the household and medical exam interviews (65% response rate). Primary and secondary outcome measures Performance on the Digit Symbol Substitution Test (DSST)-a measure of cognitive function. Results Relative to participants with the lowest level of education or family income, participants who were college graduates (β=24.4, 95% CI 22 to 26.8, p<0.0001) or in the highest income quartile (β=17.3, 95% CI 15.2 to 19.4, p<0.0001) had the highest DSST scores and the least AL burden (β=-0.72, 95% CI-0.98 to-0.47 and β=-0.82, 95% CI-1 to-0.57; p<0.0001, respectively). Although, AL was significantly negatively associated with cognitive performance (β =-1, 95% CI-1.4 to-0.5, p<0.0001), it mediated at most 4.5% of the SES effect on DSST performance. Conclusions The findings suggest that AL, as measured by a summary index of parameters for cardiovascular function, metabolism and chronic inflammation, is not a significant mediator of SES-related differences in cognitive function in the elderly. Further efforts are required to elucidate the exact physiological pathways and mechanisms through which SES impacts cognitive function in late life.

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Akrivos, J., Zhu, C. W., & Haroutunian, V. (2020). Role of cumulative biological risk in mediating socioeconomic disparities in cognitive function in the elderly: A mediation analysis. BMJ Open, 10(9). https://doi.org/10.1136/bmjopen-2019-035847

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