Background: Since 1982, the National Collegiate Athletic Association has used the Injury Surveillance System (ISS) to collect injury and athlete-exposure data from a representative sample of collegiate institutions and sports. At the start of the 2004–2005 academic year, a Web-based ISS replaced the paper-based platform previously used for reporting injuries and exposures. Objective: To describe the methods of the Web-based National Collegiate Athletic Association ISS for data collection as implemented from the 2004–2005 to 2013–2014 academic years. Description: The Web-based ISS monitored National Collegiate Athletic Association–sanctioned practices and competitions, the number of participating student–athletes, and time-loss injuries during the preseason, regular season, and postseason in 25 collegiate sports. Starting in the 2009–2010 academic year, non–time-loss injuries were also tracked. Efforts were made to better integrate ISS data collection into the workflow of collegiate athletic trainers. Data for the 2004–2005 to 2013–2014 academic years are available to researchers through a standardized application process available at the Datalys Center Web site. Conclusions: As of February 2014, more than 1 dozen data sets have been provided to researchers. The Datalys Center encourages applications for access to the data.

Using meta-analytic procedures, this study involved a quantitative synthesis of the difference in physical activity among individuals with multiple sclerosis (MS) compared with nondiseased and diseased populations and then examined factors (i.e., moderators) that explain variation in the overall difference in physical activity. We searched MEDLINE, PsycINFO and Current Contents Plus using the key words physical activity, exercise and physical fitness in conjunction with multiple sclerosis; conducted a manual search of bibliographies of the retrieved papers; and contacted study authors about additional studies. Overall, 53 effects were retrieved from 13 studies with 2360 MS participants and yielded a weighted mean effect size (ES) of -0.60 (95% CI = -0.44, -0.77). The weighted mean ES was heterogenous, Q = 1164.11, df = 52, P < 0.0001. There were larger effects with objective versus self-report measures of physical activity, nondiseased versus diseased populations and primary progressive versus relapsing remitting MS. The cumulative evidence suggests that individuals with MS are less physically active than nondiseased, but not diseased, populations.

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Physical activity has been associated with a small improvement in quality of life (QOL) among those with multiple sclerosis (MS). This relationship may be indirect and operate through factors such as disability, fatigue, mood, pain, self-efficacy and social support. The present study examined variables that might account for the relationship between physical activity and QOL in a sample (N = 292) of individuals with a definite diagnosis of MS. The participants wore an accelerometer for 7 days and then completed self-report measures of physical activity, QOL, disability, fatigue, mood, pain, selfefficacy and social support. The data were analysed using covariance modelling in Mplus 3.0. The model provided an excellent fit for the data (χ 2 = 51.33, df = 18, p < 0.001, standardised root mean squared residual = 0.03, comparative fit index = 0.98). Those who were more physically active reported lower levels of disability (γ = -0.50), depression (γ = -0.31), fatigue (γ = -0.46) and pain (γ = -0.19) and higher levels of social support (γ = 0.20), self-efficacy for managing MS (γ = 0.41), and self-efficacy for regular physical activity (γ = 0.49). In turn, those who reported lower levels of depression (β = -0.37), anxiety (β = -0.15), fatigue (β = -0.16) and pain (β = -0.08) and higher levels of social support (β = 0.26) and self-efficacy for controlling MS (β = 0.17) reported higher levels of QOL. The observed pattern of relationships supports the possibility that physical activity is indirectly associated with improved QOL in individuals with MS via depression, fatigue, pain, social support and self-efficacy for managing MS.

The cumulative evidence supports that exercise training is associated with a small improvement in walking mobility among individuals with multiple sclerosis.