The Quantitative Examination of the Relationship Between Job Satisfaction and Organizational Fit in Athletic Trainers.

CONTEXT: Athletic trainers' (ATs') job satisfaction has been extensively researched, yet little is known about how satisfaction relates to organizational culture. OBJECTIVE: To examine ATs' level of job satisfaction with and organizational-fit perceptions of their employment setting. DESIGN: Cross-sectional study. SETTING: Web-based questionnaire. PATIENTS OR OTHER PARTICIPANTS: A total of 5704 ATs (full-time employment, nonacademic appointment) were contacted via email; 841 participants began our survey (access rate = 14.7%), and 285 completed it (5.0% response rate; 33.9% completion rate). Demographic characteristics were men = 107 (37.5%), women = 178 (62.5%); age = 34.8 ± 9.9 years; and employment setting = 34.7% (n = 99) from National Collegiate Athletic Association Division I, 18.9% (n = 54) from Division II, 29.5% (n = 84) from Division III, and 16.9% (n = 48) other. MAIN OUTCOME MEASURE(S): Participants responded to an online survey consisting of demographic questions, a 36-item Likert-scale Job Satisfaction Survey, and the Cable and Judge revision of the O'Reilly, Chatman, and Caldwell 40-item ranking Organizational Culture Profile survey. Multiple linear regression models for total or subscale job satisfaction were used to analyze the data. All models adjusted for the same demographic measures, and the independent variables of interest were created from the organizational culture survey responses. RESULTS: Coworkers (minimum [min] = 9, maximum [max] = 24, ρ = .79), communications (min = 9, max = 24, ρ = .78), and work itself (min = 4, max = 24, ρ = .71) were most correlated with the total job satisfaction score (min = 96, max = 175). Of the respondents, 54% selected adaptability, stability, and taking individual responsibility as 1 of their 2 most characteristic attributes in the organizational culture profile. In addition, 83% of respondents indicated being aggressive, receiving high pay for good performance, and being distinctive or different from others as their 2 least characteristic traits. CONCLUSIONS: The job satisfaction of these ATs was affected most by organizational factors, such as coworkers and communication, as well as by individual attributes such as adaptability, stability, and taking personal responsibility.

Spatial patterns in prostate Cancer-specific mortality in Pennsylvania using Pennsylvania Cancer registry data, 2004-2014.

BACKGROUND: Spatial heterogeneity of prostate cancer-specific mortality in Pennsylvania remains unclear. We utilized advanced geospatial survival regressions to examine spatial variation of prostate cancer-specific mortality in PA and evaluate potential effects of individual- and county-level risk factors. METHODS: Prostate cancer cases, aged ≥40 years, were identified in the 2004-2014 Pennsylvania Cancer Registry. The 2018 County Health Rankings data and the 2014 U.S. Environmental Protection Agency's Environmental Quality Index were used to extract county-level data. The accelerated failure time models with spatial frailties for geographical correlations were used to assess prostate cancer-specific mortality rates for Pennsylvania and by the Penn State Cancer Institute (PSCI) 28-county catchment area. Secondary assessment based on estimated spatial frailties was conducted to identify potential health and environmental risk factors for mortality. RESULTS: There were 94,274 cases included. The 5-year survival rate in PA was 82% (95% confidence interval, CI: 81.1-82.8%), with the catchment area having a lower survival rate 81% (95% CI: 79.5-82.6%) compared to the non-catchment area rate of 82.3% (95% CI: 81.4-83.2%). Black men, uninsured, more aggressive prostate cancer, rural and urban Appalachia, positive lymph nodes, and no definitive treatment were associated with lower survival. Several county-level health (i.e., poor physical activity) and environmental factors in air and land (i.e., defoliate chemical applied) were associated with higher mortality rates. CONCLUSIONS: Spatial variations in prostate cancer-specific mortality rates exist in Pennsylvania with a higher risk in the PSCI's catchment area, in particular, rural-Appalachia. County-level health and environmental factors may contribute to spatial heterogeneity in prostate cancer-specific mortality.