6 results match your criteria: "Institute for Social Research University of Michigan Ann Arbor Michigan USA.[Affiliation]"

Introduction: In observational studies, the association between alcohol consumption and dementia is mixed.

Methods: We performed two-sample Mendelian randomization (MR) using summary statistics from genome-wide association studies of weekly alcohol consumption and late-onset Alzheimer's disease and one-sample MR in the Health and Retirement Study (HRS), wave 2012. Inverse variance weighted two-stage regression provided odds ratios of association between alcohol exposure and dementia or cognitively impaired, non-dementia relative to cognitively normal.

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We sought to determine whether the biomarkers of chronic inflammation predict cognitive decline in a prospective observational study. We measured baseline serum soluble urokinase plasminogen activator receptor (suPAR) and high sensitivity C-reactive protein (hs-CRP) levels in 282 participants of the University of Michigan Memory and Aging Project. Cognitive function was measured using the Montreal Cognitive Assessment (MoCA) and the Clinical Dementia Rating (CDR) scale for up to five time points.

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Background And Aims: Most literature linking childhood factors to cognitive health outcomes has focused on educational attainment-defined as years of education attained. However, less has been studied about the other aspects of education, such as early learning problems, and stressful family environments. This study examined whether early learning problems and childhood stressors were associated with mid- and later life cognitive impairment among US adults, and if these associations varied by race.

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Introduction: We describe the development and feasibility of using an online consensus approach for diagnosing cognitive impairment and dementia in rural South Africa.

Methods: Cognitive assessments, clinical evaluations, and informant interviews from Cognition and Dementia in the Health and Aging in Africa Longitudinal Study (HAALSI Dementia) were reviewed by an expert panel using a web-based platform to assign a diagnosis of cognitively normal, mild cognitive impairment (MCI), or dementia.

Results: Six hundred thirty-five participants were assigned a final diagnostic category, with 298 requiring adjudication conference calls.

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Introduction: Investigations into consequences of the US COVID-19 pandemic for older adults with dementia have been limited.

Methods: We used the National Health and Aging Trends Study to examine self-reported COVID-19 infection; measures taken to limit its spread; social, behavioral, and emotional responses to the pandemic; and changes in health-care use and provider communication. We compared adults aged ≥70 with and without dementia in community and residential care settings.

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In several author name disambiguation studies, some ethnic name groups such as East Asian names are reported to be more difficult to disambiguate than others. This implies that disambiguation approaches might be improved if ethnic name groups are distinguished before disambiguation. We explore the potential of ethnic name partitioning by comparing performance of four machine learning algorithms trained and tested on the entire data or specifically on individual name groups.

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