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These cognitive categories are similar to the automaticto-effortful continuum in that they differ in the demand level they require It is assumed that cognitive tasks from all categories are sensitive to aging, but this sensitivity is more pronounced as the demand increases Executive control the highest level of demand seems particularly sensitive to aging, and neuroimaging indicates that age-related decline appears to be faster in the prefrontal and frontal lobes of the brain (Colcombe et al, 2003), which mediate executive control functions Another approach suggested in examining the fitnesscognition relationship is to conduct clinical tests such as the Mini Mental State Exam in longitudinal studies to assess the ability of long-term physical activity and physical fitness to postpone or eliminate cognitive decline.

In these studies the rate of cognitive decline in active old individuals is compared to that of inactive individuals (Barnes, Yaffe, Satariano, & Tager, 2003; Lytle, Vander Bilt, Pandav, Dodge, & Ganguli, 2004) PHYSICAL ACTIVITY AND COGNITION IN ADVANCED AGE: CROSS-SECTIONAL AND LONGITUDINAL NON-INTERVENTION STUDIES Although cross-sectional studies vary in terms of the cognitive tasks or fitness measured, their findings generally indicate the existence of a link between physical fitness or physical activity and cognitive functioning Most studies refer to aerobic fitness, measured directly (Barnes et al, 2003; Era et al, 1986; Etnier & Landers, 1997; Shay & Roth, 1992; Van Boxtel et al, 1997) or indirectly by activity tests (Ble et al, 2005) or by self-report measurements translated into energy expenditure (Lytle et al, 2004; Stones & Kozma, 1989; Van Gelder et al, 2004; Weuve et al, 2004).

and others terminated This makes it difficult to pick up the current status in the process Typically, all the programs experience some organizational problems First, the programs are nonprofit initiatives, and they need solid funding to start and to proceed As soon as funding stops, the programs have to be terminated Unfortunately, many programs have been terminated (Anderson & Morris, 2000) Second, one of the problems is advertising the programs and services to athletes, convincing them to participate, and planning potential users of the programs (North & Lavallee, 2004b) Third, effectiveness of the programs is only rarely established There is a lot of anecdotal evidence about the effectiveness of career transition programs but a lack of empirically based evidence Recently, Gordon, Lavallee, and Grove (2005) summarized existing studies on the evaluation of career-related programs, particularly the Australian ACE program (Gorely et al, 2001), the ACE UK program (U.

For most cognitive measures, individuals who maintained high levels of fitness performed better than people who exercised infrequently Furthermore, in studies assessing various age groups, the fitness effect found for elderly subjects was not always found for young subjects (Christensen & Mackinnon, 1993; Emery, Huppert, & Schein, 1995; Etnier & Landers, 1997; Rikli & Busch, 1986; Shay & Roth, 1992; Spirduso, 1975; Stones & Kozma, 1989; Van Boxtel et al, 1997) In contrast, one retrospective study (Dik, Dee, Visser, & Jonker, 2003) suggests that information-processing speed is better among men who were active at young age This means that although differences between highly fit and unfit individuals at young age are not noticeable, they may emerge as people age..

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K Sport, 2001; North & Lavallee, 2004a, 2004b), and a career assistance program for young Australian cricket players (Bobridge, Gordon, Walker, & Thompson, 2003) For example, 707% of athletes eligible for the Australian ACE program contacted the program during a 1-year period The most popular service included career guidance and planning and help with school or university studies At the same time, specific career transition services were among the least used by the athletes Analyzing the quality of career programs assessment instruments and procedures, Gordon et al concluded that evaluations are mainly descriptive and focus on athletes usage of the services involved and satisfaction with the services and their perceived reasons to use and not to use such services This can be seen as a first step that should be followed by more deep assessment of the services outcomes (eg.

ACL packets User payload (bytes) 0 17 0 121 0 224 0 27 0 183 0 339 Symmetric maximum rate (kbps) 108.8 258.1 286.7 172.8 390.4 433.9 Asymmetric maximum rate (kbps) _____________________ Forward 108.8 387.2 477.8 172.8 585.6 723.2 Reverse 108.8 54.4 36.3 172.8 86.4 57.6

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