Objectives: Derive latent profiles of accelerometry-measured moderate-vigorous physical activity (MVPA) for Hispanic/Latino adults, examine associations between latent MVPA profiles and neurocognition, and describe profiles via self-reported MVPA.
Methods: Complex survey design methods were applied to cross-sectional data from 7,672 adults ages 45-74 years in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL; 2008-2011). MVPA was measured via hip-worn accelerometers.
Background: Cardiovascular disease is linked to cognitive decline and disorders (e.g., dementia).
View Article and Find Full Text PDFHispanics/Latinos are the largest ethnic/racial group in the United States and at high risk for Alzheimer's disease and related dementia (ADRD). Yet, ADRD among diverse Latinos is poorly understood and disparately understudied or unstudied compared to other ethnic/racial groups that leave the nation ill-prepared for major demographic shifts that lay ahead in coming decades. The primary purpose of this Perspectives article was to provide a new research framework for advancing Latino ADRD knowledge, encompassing the unique sociocultural, cardiometabolic, and genomic aspects of Latino health, aging, and ADRD.
View Article and Find Full Text PDFIntroduction: We estimated the prevalence and correlates of mild cognitive impairment (MCI) among middle-aged and older diverse Hispanics/Latinos.
Methods: Middle-aged and older diverse Hispanics/Latinos enrolled (n = 6377; 50-86 years) in this multisite prospective cohort study were evaluated for MCI using the National Institute on Aging-Alzheimer's Association diagnostic criteria.
Results: The overall MCI prevalence was 9.
Group work in science, technology, engineering, and mathematics courses is an effective means of improving student outcomes, and many different factors can influence the dynamics of student discussions and, ultimately, the success of collaboration. The substance and dynamics of group discussions are commonly examined using qualitative methods such as discourse analysis. To complement existing work in the literature, we developed a quantitative methodology that uses graph theory to map the progression of talk-turns of discussions within a group.
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