Introduction: National data reveal that the age-adjusted prevalence of leisure-time physical inactivity is higher among Blacks and Hispanics compared with Whites. However, these estimates do not consider nonleisure physical activity (PA). Also, race/ethnicity in these findings may by confounded by socioeconomic status disparities in PA. Here, we examine racial/ethnic differences in multiple measures of PA within a lower socioeconomic status sample.
Methods: Participants in the current cross-sectional study (n = 1526 adults, aged ≥ 18 y) were recruited from Supplemental Nutrition Assistance Program-Education classes (nutrition education classes that target low-income people) in Texas. Self-report data were obtained using survey questionnaires in spring and fall 2018. PA outcomes of 4 different intensities were assessed: mean daily time spent walking, engaging in moderate and vigorous PA, and sitting. Additional PA-related measures included use and awareness of community PA resources. Linear regression models examined racial/ethnic differences in the 4 PA outcomes after adjusting for participant gender, age, household composition measures, and various socioeconomic status measures.
Results: In this low-income sample, Hispanic and Black participants spent 6 to 9 more minutes per day walking and engaging in moderate and vigorous PA compared with White/other participants (P < .05 for each measure). Conversely, White/other participants reported spending 82 more minutes sitting per day than Black and Hispanic participants (P < .01). Overall, Black participants were most likely to utilize community PA resources and report ease of engaging in exercise.
Discussion: Together, these results reveal greater engagement in PA by racial/ethnic minorities in low-income communities compared with Whites. Our results have implications for tailoring PA programming to these communities.
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http://dx.doi.org/10.1123/jpah.2022-0602 | DOI Listing |
Alzheimers Dement
December 2024
University of Southern California, Los Angeles, CA, USA.
Background: Blood pressure (BP) management is an accessible therapeutic target for dementia prevention. BP variability (BPV) is a newer aspect of BP control recently associated with cognitive decline, dementia and Alzheimer's disease (AD), independent of traditionally targeted mean BP levels. Most of this work has relied on largely non-Hispanic White study samples in observational cohorts.
View Article and Find Full Text PDFBackground: Dementia, a growing health crisis, disproportionally affects persons from racial/ethnic backgrounds and individuals with comorbidities. Latelife change in cognition is complex and nonlinear, as well as differential for these individuals. These individuals are also largely underrepresented in clinical trials.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
USC Edward R. Roybal Institute on Aging, University of Southern California, Los Angeles, CA, USA.
Background: It is well documented that participating in physical activity can help dementia caregivers alleviate stress and enhance well-being. However, few studies have examined dementia caregivers' needs for exercise, and the feasibility of promoting their physical activity amidst heavy caregiving responsibilities. This study compared the participation of physical activity between dementia caregivers and non-caregivers, and examined effects of racial/ethnic identities and other sociodemographic factors on dementia caregivers' physical activity participation.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Indiana University School of Medicine, Indianapolis, IN, USA.
Background: Despite recognition of the need to increase underrepresented groups (URG) engagement in Alzheimer's disease and related dementias (ADRD) studies, enrollment remains low. As a first step in examining these disparities, these analyses aimed to compare referral sources for Alzheimer's Disease Research Centers (ADRC) enrollment of URG participants.
Method: These analyses included data from 48,330 participants across 46 ADRCs, obtained through the National Alzheimer's Coordinating Center Uniform Data Set.
Alzheimers Dement
December 2024
Massachusetts General Hospital, Boston, MA, USA.
Background: Underdiagnosis of Alzheimer's disease and related dementias (ADRD) leads to lost opportunities for timely intervention, increased healthcare costs, and underestimation of the true burden of disease. To address this problem, we developed an AI algorithm, Decipher-AI (DEtection of Cognitive Impairment PHenotypes in EHR), to screen primary care patients for undiagnosed cognitive impairment (CI). We evaluated performance across sociodemographic groups using 3 years of EHR data before the first diagnosis or most recent visit.
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