Computational protocol: Playground slide-related injuries in preschool children: increased risk of lower extremity injuries when riding on laps

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Protocol publication

[…] All variables in the study, including age, were coded as categorical. Descriptive (frequencies, percentages), preliminary bivariate analyses to determine p values (Pearson chi square test), and multivariate (binary logistic regression) analyses to determine adjusted odds ratios (aOR) and 95% confidence intervals (95% CI) were performed using SPSS (IBM Statistics Package for the Social Sciences, v22). All p values were two-tailed with significance defined as p < 0.05. When comparisons of variables with more than two values using SPSS yielded an overall p value < 0.05, pairwise (2X2) comparisons to generate unadjusted odds ratios (OR) and 95% confidence intervals (95% CI) were performed using the Vassar website for statistical analysis ( For regression models, covariates for inclusion in the model were identified from bivariate analyses. Variables that were included in the logistic regression analyses were sex, age, race, location, diagnosis, body part, disposition and whether they were identified as being on a lap at the time of their injury. Adjusted odds ratios (aOR) and 95% CI from regression analysis are presented. National estimates of slide-related injuries were determined by the NEISS as calculated using their sampling weights. Missing data were not included in analyses. […]

Pipeline specifications

Software tools SPSS, VassarStats
Application Miscellaneous
Organisms Homo sapiens
Diseases Musculoskeletal Diseases, Wounds and Injuries, Fractures, Bone