{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Clark AL"],"funding":["NIBIB NIH HHS","NIA NIH HHS","CSRD VA"],"pagination":["1360-1373"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10917046"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["20(2)"],"pubmed_abstract":["<h4>Introduction</h4>Identification of psychosocial-behavioral phenotypes to understand within-group heterogeneity in risk and resiliency to Alzheimer's disease (AD) within Black/African American and Hispanic/Latino older adults is essential for the implementation of precision health approaches.<h4>Methods</h4>A cluster analysis was performed on baseline measures of socioeconomic resources (annual income, social support, occupational complexity) and psychiatric distress (chronic stress, depression, anxiety) for 1220 racially/ethnically minoritized adults enrolled in the Health and Aging Brain Study-Health Disparities (HABS-HD). Analyses of covariance adjusting for sociodemographic factors examined phenotype differences in cognition and plasma AD biomarkers.<h4>Results</h4>The cluster analysis identified (1) Low Resource/High Distress (n = 256); (2) High Resource/Low Distress (n = 485); and (3) Low Resource/Low Distress (n = 479) phenotypes. The Low Resource/High Distress phenotype displayed poorer cognition and higher plasma neurofilament light chain; differences between the High Resource/Low Distress and Low Resource/Low Distress phenotypes were minimal.<h4>Discussion</h4>The identification of psychosocial-behavioral phenotypes within racially/ethnically minoritized older adults is crucial to the development of targeted AD prevention and intervention efforts."],"journal":["Alzheimer's & dementia : the journal of the Alzheimer's Association"],"pubmed_title":["Empirically derived psychosocial-behavioral phenotypes in Black/African American and Hispanic/Latino older adults enrolled in HABS-HD: Associations with AD biomarkers and cognitive outcomes."],"pmcid":["PMC10917046"],"funding_grant_id":["P41 EB015922","RF1 AG082726","R56 AG058533","R03 AG085241","R01 AG054073","U19 AG078109","R03 AG070435","R01 AG058533","P30 AG062429","R56 AG054073","IK2 CX001865"],"pubmed_authors":["O'Bryant S","HABS-HD Study Team","Clark AL","Ortega N","Haley AP","Thomas KR","Duarte A"],"additional_accession":[]},"is_claimable":false,"name":"Empirically derived psychosocial-behavioral phenotypes in Black/African American and Hispanic/Latino older adults enrolled in HABS-HD: Associations with AD biomarkers and cognitive outcomes.","description":"<h4>Introduction</h4>Identification of psychosocial-behavioral phenotypes to understand within-group heterogeneity in risk and resiliency to Alzheimer's disease (AD) within Black/African American and Hispanic/Latino older adults is essential for the implementation of precision health approaches.<h4>Methods</h4>A cluster analysis was performed on baseline measures of socioeconomic resources (annual income, social support, occupational complexity) and psychiatric distress (chronic stress, depression, anxiety) for 1220 racially/ethnically minoritized adults enrolled in the Health and Aging Brain Study-Health Disparities (HABS-HD). Analyses of covariance adjusting for sociodemographic factors examined phenotype differences in cognition and plasma AD biomarkers.<h4>Results</h4>The cluster analysis identified (1) Low Resource/High Distress (n = 256); (2) High Resource/Low Distress (n = 485); and (3) Low Resource/Low Distress (n = 479) phenotypes. The Low Resource/High Distress phenotype displayed poorer cognition and higher plasma neurofilament light chain; differences between the High Resource/Low Distress and Low Resource/Low Distress phenotypes were minimal.<h4>Discussion</h4>The identification of psychosocial-behavioral phenotypes within racially/ethnically minoritized older adults is crucial to the development of targeted AD prevention and intervention efforts.","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Feb","modification":"2026-03-12T23:17:34.885Z","creation":"2025-08-12T03:04:27.206Z"},"accession":"S-EPMC10917046","cross_references":{"pubmed":["37990803"],"doi":["10.1002/alz.13544"]}}