30 research outputs found

    R ates and factors associated with falls in older European Americans, Afro-Caribbeans, African-Americans, and Hispanics

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    Purpose: To evaluate rates and factors associated with older adult falls in different ethnic groups. Participants and methods: Information on demographics, medical and falls history, and pain and physical activity levels was collected from 550 community-dwelling older adults (75±9 years old, 222 European Americans, 109 Afro-Caribbeans, 106 African-Americans, and 113 Hispanics). Results: Taking medications for anxiety (risk ratio [RR] =1.4, 95% confidence interval [CI] =1.1–2.0), having incontinence (RR =1.4, 95% CI =1.1–1.8, P=0.013), back pain (RR =1.4, 95% CI =1.0–1.8), feet swelling (RR =1.3, 95% CI =1.1–1.7), and age 75years(RR=1.3,9575 years (RR =1.3, 95% CI =1.0–1.6) were associated with falls. The associations were stronger for Afro-Caribbeans, but they presented approximately 40% lower prevalence of falls than the other groups. Conclusion: Taking anxiety medication, incontinence, back pain, feet swelling, and age 75 years were associated with falls, and Afro-Caribbeans presented lower prevalence of falls. These findings need to be taken into consideration in clinical interventions in aging. Keywords: ethnicity, falls, risks, community dwelling, older adult

    Sustaining or declining physical activity: Reports from an ethnically diverse sample of older adults

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    Over 80% of adults in the US fail to meet the ≥150 min weekly physical activity guideline; 40% age ≥ 75 are entirely inactive. The study purpose was to understand the reasons why community-dwelling older adults (age ≥ 60) from diverse backgrounds increase, sustain, or decline in their physical activity levels over time. Sixty-two older adults were interviewed. Two-thirds of the African Americans, 57% of the Afro-Caribbeans, and 50% of the European Americans reported being less active than 2–3 years ago. Reasons for activity decline included health issues (e.g., pain, shortness of breath), lack of time, interest, or motivation. Reasons for sustaining or increasing activity levels included meeting personal goals, having a purpose for remaining active, or feeling better when active (e.g., it is important to keep moving, good for the joints, going on a cruise). Themes identified were pride in maintaining activity, goal-driven activity, pushing oneself to get past pain or fatigue, and some confusion between social and physical activity in participant reports. The results indicate widespread acceptance that activity is beneficial, but that knowledge alone was insufficient to maintain activity levels over time unless individuals had a goal or purpose (“means to an end”) and could overcome their physical and psychological barriers to physical activity

    Methods and Tools for Monitoring Driver's Behavior

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    In-vehicle sensing technology has gained tremendous attention due to its ability to support major technological developments, such as connected vehicles and self-driving cars. In-vehicle sensing data are invaluable and important data sources for traffic management systems. In this paper we propose an innovative architecture of unobtrusive in-vehicle sensors and present methods and tools that are used to measure the behavior of drivers. The proposed architecture including methods and tools are used in our NIH project to monitor and identify older drivers with early dementi

    Anomalous Behavior Detection in Trajectory Data of Older Drivers

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    Given a road network and a set of trajectory data, the anomalous behavior detection (ABD) problem is to identify drivers that show significant directional deviations, hardbrakings, and accelerations in their trips. The ABD problem is important in many societal applications, including Mild Cognitive Impairment (MCI) detection and safe route recommendations for older drivers. The ABD problem is computationally challenging due to the large size of temporally-detailed trajectories dataset. In this paper, we propose an Edge-Attributed Matrix that can represent the key properties of temporally-detailed trajectory datasets and identify abnormal driving behaviors. Experiments using real-world datasets demonstrated that our approach identifies abnormal driving behaviors.Comment: IEEE HONET 202

    Essentials of nursing leadership and management

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    Sally A. Weiss, Ruth M. Tappen

    Interprofessional education in community-based Alzheimer's disease diagnosis and treatment

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    As the population ages and understanding of Alzheimer's disease (AD) improves, the number of older adults diagnosed and treated for AD and related dementias is projected to increase. Dementia diagnosis, treatment and patient and family education are complex processes best done through collaboration among healthcare professions. The educational program described in this article aimed to create an interprofessional team approach to the diagnosis and treatment of dementia involving medical and family nurse practitioner students. A two-group treatment/control pretest posttest design was used to measure changes in knowledge, attitudes and appreciation for an interprofessional team approach to patient care. Findings from this interprofessional program demonstrated that nurse practitioner students gained higher levels of knowledge regarding AD, and medical students gained more positive attitudes toward these patients and their caregivers. Comments from students indicated that both medical and nursing students found the experience valuable. Understanding the roles that various providers play will help healthcare professional meet the challenge of caring for the increasing number of patients with memory loss and for their families

    Group Leader-Are you a controller?

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