Depressive Symptoms, Glial Fibrillary Acid Protein Concentrations, and Cognitive Decline in a Cohort Study
Autor: | Pankaja Desai, Kristin R Krueger, Carlos Mendes de Leon, Robert S Wilson, Denis A Evans, Kumar B Rajan |
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Rok vydání: | 2023 |
Předmět: | |
Zdroj: | The Journals of Gerontology: Series A. |
ISSN: | 1758-535X 1079-5006 |
DOI: | 10.1093/gerona/glad129 |
Popis: | Background Little is known about how depressive symptoms and glial fibrillary acid protein (GFAP) concentrations taken together may influence cognitive functioning. Understanding this relationship may inform strategies for screening and early intervention to decrease rate of cognitive decline. Methods This study sample includes 1,169 participants from the Chicago Health and Aging Project (CHAP), consisting of 60% Black participants and 40% White participants, and 63% female participants and 37% male participants. CHAP is a population-based cohort study of older adults with a mean age of 77 years. Linear mixed effects regression models tested the main effects of depressive symptoms and GFAP concentrations and their interactions on baseline cognitive function and cognitive decline over time. Models included adjustments for age, race, sex, education, chronic medical conditions, BMI, smoking status, and alcohol use, and their interactions with time. Results The interaction of depressive symptomology and GFAP (β= -.105 (SE=.038), p=.006) on global cognitive function was statistically significant. Participants with depressive symptoms including and above the cut off and high log of GFAP concentrations had more cognitive decline over time, followed by participants with depressive symptoms below the cut off and high log of GFAP concentrations, depressive symptom scores including and above the cut off and low log of GFAP concentrations, and depressive symptom scores below the cut off and low log of GFAP concentrations. Conclusions Depressive symptoms have an additive effect on the association between the log of GFAP and baseline global cognitive function. |
Databáze: | OpenAIRE |
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