Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
6 authors.
Kiana A ScambrayDepartment of Psychology, University of Michigan, Ann Arbor, Ann Arbor, Michigan, USA.ORCID 0000-0002-9618-6385
Monica E WaltersDepartment of Psychology, University of Michigan, Ann Arbor, Ann Arbor, Michigan, USA.
Emily P MorrisDepartment of Psychology, University of Michigan, Ann Arbor, Ann Arbor, Michigan, USA.
Robrielle M PierceDepartment of Psychology, University of Michigan, Ann Arbor, Ann Arbor, Michigan, USA.
Adam M BrickmanDepartment of Neurology, Gertrude H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, USA.
Laura B ZahodneDepartment of Psychology, University of Michigan, Ann Arbor, Ann Arbor, Michigan, USA.
Funding
Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Research Education CoreP30AG066462 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Andrew Franklin Teich · 2020 to 2026
$30.1M
Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Neil Alexander · 2004 to 2026
$29.2M
Statistical Data EnclaveP30AG012846 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Esther M. Friedman · 1999 to 2026
$23.2M
VASCULAR FACTORS AND MILD COGNITIVE IMPAIRMENT AND ALZHEIMER'S DISEASEP01AG007232 · NIA · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI MAYEUX, RICHARD P · 1989 to 2008
$21.7M
Michigan Alzheimer's Disease Core CenterP30AG053760 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LIEBERMAN, ANDREW P · 2016 to 2020
$10.1M
Epidemiology of Biomarkers of Risk and Progression in LOADR01AG037212 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAYEUX, RICHARD P, SCHUPF, NICOLE · 2010 to 2015
$10.1M
Genetic Epidemiology of Cerebrovascular Factors in Alzheimer's DiseaseRF1AG054023 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAYEUX, RICHARD P · 2016 to 2018
$8.9M
Resilience Mechanisms Underlying Racial/Ethnic Disparities in Alzheimer’s DiseaseR01AG054520 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRICKMAN, ADAM M, ZAHODNE, LAURA B · 2017 to 2021
$5.8M
Mechanisms of inequalities in ADRD risk across race and place in the Michigan Cognitive Aging ProjectR01AG082307 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Laura B Zahodne · 2023 to 2026
$3.8M
Psychosocial Protective Factors in Cognitive and Brain AgingR00AG047963 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZAHODNE, LAURA B · 2016 to 2018
$746k
Multilevel Biopsychosocial Stress Mechanisms Underlying Racial Disparities in ADRD RiskF31AG077758 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MORRIS, EMILY P. · 2022 to 2023
introductionSubjective social status (SSS) in the United States relates to cognition. Few studies assess SSS in one's community, examine brain correlates, or consider associations across the intersection of sex/gender and race/ethnicity.
methodsA total of 867 participants from the Washington Heights-Inwood Columbia Aging Project completed MacArthur Scales of SSS for the United States and the community. Cognitive reserve was residual variance in episodic memory after accounting for gray matter and white matter hyperintensity (WMH) volumes. Linear regressions assessed relationships between SSS, brain health, and cognitive reserve. Interactions examined moderation by group.
resultsThere were no relationships in the full sample. The relationship between higher SSS-community and lower WMH was strongest among White women (interaction B = -0.33, p = 0.047). DISCUSSION: This study highlights the value of assessing community standing, which may be more associated with brain health than U.S. standing. Future work should examine social exposures that shape differential links between SSS and brain health across groups. HIGHLIGHTS: Community standing was more strongly linked to brain health, not cognitive reserve. Community standing may be more relevant to brain health than U.S. standing. Higher community standing is associated with better brain health in White women.
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Brain and cognitive correlates of social status across race/ethnicity and sex/gender. · full record | OpenQuestion