Multilevel and Multidimensional Features of Socioeconomic Status and Cognitive Function in Older Adulthood: Findings from the IGNITE Study

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Publicado en:Alzheimer's & Dementia vol. 21 (Dec 1, 2025)
Autor principal: Drake, Jermon
Otros Autores: Wan, Lu, Gianaros, Peter, Solis‐Urra, Patricio, Huang, Haiqing, Reed, Rebecca, Hillman, Charles, Vidoni, Eric D, Burns, Jeffrey M., Kramer, Arthur F., McAuley, Edward, Grove, George, Kang, Chaeryon, Erickson, Kirk I., Oberlin, Lauren
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022 |a 1552-5260 
022 |a 1552-5279 
024 7 |a 10.1002/alz70861_108795  |2 doi 
035 |a 3286013928 
045 0 |b d20251201 
100 1 |a Drake, Jermon  |u University of Pittsburgh, Pittsburgh, PA, USA 
245 1 |a Multilevel and Multidimensional Features of Socioeconomic Status and Cognitive Function in Older Adulthood: Findings from the IGNITE Study 
260 |b John Wiley & Sons, Inc.  |c Dec 1, 2025 
513 |a Journal Article 
520 3 |a Background Lower socioeconomic status (SES) is associated with increased risk of cognitive decline and dementia. However, due to measurement limitations that often oversimplify the multidimensional construct of SES, fundamental questions regarding the relationship between socioeconomic disadvantage and cognition remain. We examined multiple SES characteristics at the individual and area‐level simultaneously in association with diverse cognitive processes in a large, community‐based older adult sample. Method We conducted a cross‐sectional analysis of 648 cognitively unimpaired older adults (Mean age = 69.88 + 3.75 years) enrolled in a multi‐site, randomized clinical trial: Investigating Gains in Neurocognition in an Intervention Trial of Exercise (IGNITE). Participants completed a comprehensive cognitive assessment that included tests of episodic memory, executive function, processing speed, working memory, and visuospatial abilities. Multiple dimensions of SES were obtained including area‐level (Area Deprivation Index), subjective (US Ladder from MacArthur Socioeconomic Status Index), and objective SES. We generated a novel data‐driven measure of objective SES from measures of income, savings, debt‐adjusted savings, and financial stability, and examined associations of SES indicators with cognition in multiple linear regression models that controlled for age, sex, race/ethnicity, and study site. Result Lower objective SES was associated with poorer performance on all cognitive domains: episodic memory (β = 0.115, p = 0.003), executive function (β = 0.210, p < 0.001), processing speed (β = 0.224, p < 0.001), working memory (β = 0.199, p < 0.001), and visuospatial abilities (β = 0.164, p < 0.001). Subjective SES was associated with poorer performance on all cognitive domains except episodic memory. Area‐level SES was not associated with any cognitive domain (ps > 0.05). When examining all SES indicators simultaneously, only the objective SES composite remained significantly associated with cognitive function. In secondary models, the objective SES composite score explained additional variance beyond education, income, and their standardized average. Conclusion Objective SES showed the broadest and most robust associations with cognitive function relative to subjective and area‐level indicators among cognitively normal older adults. Future studies may benefit from examining multiple financial indicators to better detect the extent and magnitude of cognitive deficits related to socioeconomic disadvantage in older adulthood. 
653 |a Socioeconomic status 
653 |a Cognitive functioning 
653 |a Episodic memory 
653 |a Measures 
653 |a Deprivation 
653 |a Function 
653 |a Dementia 
653 |a Clinical trials 
653 |a Race 
653 |a Older people 
653 |a Cognition 
653 |a Ethnicity 
653 |a Cognitive ability 
653 |a Cognition & reasoning 
653 |a Measurement 
653 |a Savings 
653 |a Secondary education 
653 |a Cognitive impairment 
653 |a Objectives 
653 |a Associations 
653 |a Memory 
653 |a Indexes 
653 |a Short term memory 
653 |a Visual memory 
653 |a Spatial memory 
653 |a Socioeconomic factors 
653 |a Subjectivity 
653 |a Clinical research 
653 |a Executive function 
653 |a Adults 
653 |a Income 
653 |a Visual-Spatial ability 
700 1 |a Wan, Lu  |u AdventHealth Neuroscience Institute, Orlando, FL, USA 
700 1 |a Gianaros, Peter  |u University of Pittsburgh, Pittsburgh, PA, USA 
700 1 |a Solis‐Urra, Patricio  |u AdventHealth Research Institute, Orlando, FL, USA 
700 1 |a Huang, Haiqing  |u AdventHealth Research Institute, Neuroscience, Orlando, FL, USA 
700 1 |a Reed, Rebecca  |u University of Pittsburgh, Pittsburgh, PA, USA 
700 1 |a Hillman, Charles  |u Northeastern University, Boston, MA, USA 
700 1 |a Vidoni, Eric D  |u University of Kansas Medical Center, Alzheimer's Disease Research Center, Fairway, KS, USA 
700 1 |a Burns, Jeffrey M.  |u University of Kansas Alzheimer's Disease Research Center, Kansas City, KS, USA 
700 1 |a Kramer, Arthur F.  |u Center for Cognitive &amp;amp; Brain Health, Northeastern University, Boston, MA, USA 
700 1 |a McAuley, Edward  |u University of Illinois, Urbana, IL, USA 
700 1 |a Grove, George  |u University of Pittsburgh, Pittsburgh, PA, USA 
700 1 |a Kang, Chaeryon  |u University of Pittsburgh, Pittsburgh, PA, USA 
700 1 |a Erickson, Kirk I.  |u AdventHealth Research Institute, Orlando, FL, USA 
700 1 |a Oberlin, Lauren  |u AdventHealth Neuroscience Institute, Orlando, FL, USA 
773 0 |t Alzheimer's & Dementia  |g vol. 21 (Dec 1, 2025) 
786 0 |d ProQuest  |t Consumer Health Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3286013928/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3286013928/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch