2,066 research outputs found

    Dance as a Protective Measure Against the Cognitive and Physical Declines Associated with Aging: A Proposed Study

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    Background: Dance is considered a multimodal activity in that it requires both physical and cognitive engagement. Combining physical activity with music may have a synergistic effect, enabling dance to enhance physical and cognitive functions more than music and physical activity alone. The positive changes attributed to dance training such as improved visuospatial and motor ability, high coordination, greater balance, and increased cognitive ability may also benefit individuals as they age. Methods: This proposed study will examine whether dance training has the potential to protect against age-related cognitive and physical decline by assessing the cognitive and physical domains that show decline with age, including executive functioning, processing speed, memory, attention, visuospatial abilities, strength, balance, gait, and fine motor movement. These will be assessed and compared in healthy participant groups below and above the age of 50, who have training in and are currently participating in either dance, music, or rhythmic physical exercise (e.g. cycling, rowing). These groups will also be compared to controls with no training in these activities. These comparisons will allow for the specific cognitive and physical benefits of dance training to be identified. Discussion: By assessing both the cognitive and physical levels of functioning in younger and older dancers, the proposed research could indicate the benefits of prior dance training on cognitive and physical functioning in aging. Furthermore, the research may encourage participation in dance training in early adulthood to strengthen and preserve functioning in domains of potential decline

    ECONOMICALLY OPTIMAL WILDFIRE INTERVENTION REGIMES

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    Wildfires in the United States result in total damages and costs that are likely to exceed billions of dollars annually. Land managers and policy makers propose higher rates of prescribed burning and other kinds of vegetation management to reduce amounts of wildfire and the risks of catastrophic losses. A wildfire public welfare maximization function, using a wildfire production function estimated using a time series model of a panel of Florida counties, is employed to simulate the publicly optimal level of prescribed burning in an example county in Florida (Volusia). Evaluation of the production function reveals that prescribed fire is not associated with reduced catastrophic wildfire risks in Volusia County Florida, indicating a short-run elasticity of -0.16 and a long-run elasticity of wildfire with respect to prescribed fire of -0.07. Stochastic dominance is used to evaluate the optimal amount of prescribed fire most likely to maximize a measure of public welfare. Results of that analysis reveal that the optimal amount of annual prescribed fire is about 3 percent (9,000 acres/year) of the total forest area, which is very close to the actual average amount of prescribed burning (12,700 acres/year) between 1994-99.Resource /Energy Economics and Policy,

    Understanding Parkinson’s Through Visual Narratives: “I’m Not Mrs. Parkinson’s”

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    Although it is accepted that individuals with Parkinson’s disease (PD) must navigate challenges such as receiving their diagnosis, and changing daily occupations, little is known about how they navigate. The purpose of this study is to deepen the current understanding of the experience of living with PD and its implications for occupation through a narrative visual methodology (photo-elicitation). Methods: Six individuals with PD were asked to take photographs and share verbal narrative accounts to illustrate their experience of living with PD. Findings: Results highlight the interrelationship between occupation and identity, as many of the participants stories were interpreted as foregrounding the negotiation of occupation, and how such negotiation shaped their sense of identity. Overall three major themes were identified: (1) Framing the meaning of PD (accepting the disease as part of who they were); (2) Negotiating engagement in occupation (ongoing deliberation whether to continue engaging in certain aspects of life as PD progressed); and (3) Being ready to accept changes that impact personal or social identity (Readiness to accept help and to identify as someone with PD). Conclusion: Attending to insights regarding the lived experience of PD will enhance quality of care through informing an enriched client-centered, occupation-based approach

    Toward a Mixed-Methods Research Approach to Content Analysis in The Digital Age: The Combined Content-Analysis Model and its Applications to Health Care Twitter Feeds

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    BACKGROUND: Twitter’s 140-character microblog posts are increasingly used to access information and facilitate discussions among health care professionals and between patients with chronic conditions and their caregivers. Recently, efforts have emerged to investigate the content of health care-related posts on Twitter. This marks a new area for researchers to investigate and apply content analysis (CA). In current infodemiology, infoveillance and digital disease detection research initiatives, quantitative and qualitative Twitter data are often combined, and there are no clear guidelines for researchers to follow when collecting and evaluating Twitter-driven content. OBJECTIVE: The aim of this study was to identify studies on health care and social media that used Twitter feeds as a primary data source and CA as an analysis technique. We evaluated the resulting 18 studies based on a narrative review of previous methodological studies and textbooks to determine the criteria and main features of quantitative and qualitative CA. We then used the key features of CA and mixed-methods research designs to propose the combined content-analysis (CCA) model as a solid research framework for designing, conducting, and evaluating investigations of Twitter-driven content. METHODS: We conducted a PubMed search to collect studies published between 2010 and 2014 that used CA to analyze health care-related tweets. The PubMed search and reference list checks of selected papers identified 21 papers. We excluded 3 papers and further analyzed 18. RESULTS: Results suggest that the methods used in these studies were not purely quantitative or qualitative, and the mixed-methods design was not explicitly chosen for data collection and analysis. A solid research framework is needed for researchers who intend to analyze Twitter data through the use of CA. CONCLUSIONS: We propose the CCA model as a useful framework that provides a straightforward approach to guide Twitter-driven studies and that adds rigor to health care social media investigations. We provide suggestions for the use of the CCA model in elder care-related contexts

    An evaluation of heart rate variability in female youth soccer players following soccer heading: A pilot study

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    Most head impacts in soccer occur from purposeful heading; however, the link between heading and neurological impairment is unknown. Previous work suggests concussion may result in an uncoupling between the autonomic nervous system and cardiovascular system. Accordingly, heart rate variability (HRV) may be a sensitive measure to provide meaningful information regarding repetitive heading in soccer. The purpose of this pilot study assesses the feasibility of measuring HRV to evaluate autonomic function following soccer heading. Sixteen youth female participants underwent heart rate monitoring during a heading and footing condition. Participants completed a five minute resting supine trial at the start and end of each testing session. Standard 450 g soccer balls were projected at 6 m/s towards participants. Participants performed five headers, for the header condition, and five footers for the footer condition. The HRV for resting supine trials, pre-and post-header and footer conditions were assessed for both time and frequency domains. HRV effect sizes were small when comparing conditions, except absolute low frequency (d = 0.61) and standard deviation of the normal-normal (NN) intervals (d = 0.63). Participant retention and adherence were high, without adverse events. Findings suggest HRV is a feasible measure for evaluating the effects of heading on autonomic function

    Effect of Learning to Use a Mobility Aid on Gait and Cognitive Demands in People with Mild to Moderate Alzheimer\u27s Disease: Part I - Cane

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    BACKGROUND: People with Alzheimer\u27s disease (AD) exhibit balance and walking impairments that increase falls risk. Prescription of a mobility aid is done to improve stability, yet also requires increased cognitive resources. Single-point canes require unique motor sequencing for safe use. The effect of learning to use a single-point cane has not been evaluated in people with AD. OBJECTIVES: In people with AD and healthy adult controls: 1) examine changes in gait while using a cane under various walking conditions; and 2) determine the cognitive and gait costs associated with concurrent cane walking while multi-tasking. METHODS: Seventeen participants with AD (age 82.1±5.6 years) and 25 healthy controls (age 70.8±14.1 years) walked using a single-point cane in a straight (6 meter) and a complex (Figure of 8) path under three conditions: single-task (no aid), dual-task (walking with aid), and multi-task (walking with aid while counting backwards by ones). Velocity and stride time variability were recorded with accelerometers. RESULTS: Gait velocity significantly slowed for both groups in all conditions and stride time variability was greater in the AD group. Overall, multi-tasking produced a decrease in gait and cognitive demands for both groups, with more people with AD self-prioritizing the cognitive task over the gait task. CONCLUSION: Learning to use a cane demands cognitive resources that lead to detrimental changes in velocity and stride time variability. This was most pronounced in people with mild to moderate AD. Future research needs to investigate the effects of mobility aid training on gait performance

    Effect of Learning to Use a Mobility Aid on Gait and Cognitive Demands in People with Mild to Moderate Alzheimer\u27s Disease: Part II - 4-Wheeled Walker.

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    BACKGROUND: Cognitive deficits and gait problems are common and progressive in Alzheimer\u27s disease (AD). Prescription of a 4-wheeled walker is a common intervention to improve stability and independence, yet can be associated with an increased falls risk. OBJECTIVES: 1) To examine changes in spatial-temporal gait parameters while using a 4-wheeled walker under different walking conditions, and 2) to determine the cognitive and gait task costs of walking with the aid in adults with AD and healthy older adults. METHODS: Twenty participants with AD (age 79.1±7.1 years) and 22 controls (age 68.5±10.7 years) walked using a 4-wheeled walker in a straight (6 m) and Figure of 8 path under three task conditions: single-task (no aid), dual-task (walking with aid), and multi-task (walking with aid while counting backwards by ones). RESULTS: Gait velocity was statistically slower in adults with AD than the controls across all conditions (all p values CONCLUSION: Learning to use a 4-wheeled walker is cognitively demanding and any additional tasks increases the demands, further adversely affecting gait. The increased cognitive demands result in a decrease in gait velocity that is greatest in adults with AD. Future research needs to investigate the effects of mobility aid training on gait performance
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