Please formulate a response to this discussion

Please formulate a response to this discussion with an explanation. Please provide a reference related to this topic that is within the last 5 years. The article I have chosen studies the relationship between walking speed (WS) and rates of hospitalization and costs of patients with cardiovascular disease (CVD). Between October 1997 and January 2013 in Ferrara, Italy, 649 patients were enrolled in a physical activity program after being admitted to the hospital for CVD complications. At baseline, the patients were split up between two groups: low WS and high WS. For the program, patients were encouraged to walk for 30-60 minutes a day for 3 to 4 days a week. In the end, the study concluded that with a higher WS, patients had less hospitalizations and lower healthcare costs than those with a lower WS (Bonnini, et al., 2020). This study used a Kolmogorov-Smirnov (K-S) test. While this non-parametric test is not described in our book, it is a good comparison test for when two groups are being compared to each other (towardsdatascience.com). With the K-S test, it is easy to highlight if the two comparison groups differ on the distribution graph (towardsdatascience.com). However, according to our textbook, the Mann-Whitney test would have been a valid and reliable tool for this study (Kim & Mallory, 2017). This is because the test used 2 independent ordinal groups, low WS and high WS, and compared these two subgroups. Because of this, while this article seems trustworthy and the results seem truthful, I am not sure how reliable to K-S test is and would like to see the results using the Mann-Whitney test. Bonnini, S., Mazzoni, G., Borghesi, M., Chiaranda, G., Myers, J., Mandini, S., Raisi, A., Masotti, S., & Grazzi, G. (2020). Improving walking speed reduces hospitalization costs in outpatients with cardiovascular disease. An analysis based on a multistrata non-parametric test. BMC Health Services Research, 20(1), 1-11. https://doi.org/10.1186/s12913-020-05874-3 Kim, M., & Mallory, C. (2017). Statistics for evidence-based practice in nursing (2nd ed.). Jones & Barlett Learning Kolmogorov-Smirnov test – towardsdatascience.com. (n.d.). Retrieved November 21, 2022, from https://towardsdatascience.com/kolmogorov-smirnov-test-84c92fb4158d SCIENCE HEALTH SCIENCE NURSING BIOL 32000

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