Pain Research and Management
Volume 2021 (2021), Article ID 6384191, 1 page
https://doi.org/10.1155/2021/6384191

Letter to the Editor

Comment on “Effect of Deep Slow Breathing on Pain-Related Variables in Osteoarthritis”

Dr. Meenu Verma and Dr. Shilpasree Saha

Maharishi Markandeshwar Institute of Physiotherapy & Rehabilitation, Maharishi Markandeshwar Deemed to be University, Mullana, Ambala, Haryana 133207, India

Correspondence should be addressed to Dr. Meenu Verma; meenuverma@mmumullana.org

Received 28 November 2019; Accepted 7 July 2020; Published 17 February 2021

Academic Editor: Massimiliano Valeriani

Copyright © 2021 Dr. Meenu Verma and Dr. Shilpasree Saha. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

We would like to congratulate Larsen et al. for their valuable work published in Pain Research and Management titled “Effect of Deep Slow Breathing on Pain-Related Variables in Osteoarthritis” [1]. The current study is informative and may help in clinical practice to improve pain and physical function in patients with osteoarthritis. However, there are some methodological issues in this paper which need to be highlighted.

Firstly, the authors did not mention how they had estimated the sample size. Sample size estimation is necessary for approval or rejection of results of clinical trial irrespective of how clinically effective or ineffective the intervention may be. In instances where sample size selected is less than what is required, this may cause statistically nonsignificant results, even though clinical significance exists. If the selected sample size is much more than what is required, then even a small difference between two interventions will produce a statistically significant result, even if the difference is not clinically meaningful [2].

Next, in the section of “Data Collection and Analysis,” the authors did not mention the use of a normality test in their article. They directly mentioned that the variables were analysed using three separate mixed ANOVAs. Statistical analysis of data is always dependent on a normality test which can be checked by the Kolmogorov–Smirnov (K–S) test and Shapiro–Wilk test in SPSS. Depending on the normality distribution, parametric and nonparametric tests are used to analyse changes in values of variables [3]. Appropriate statistical tests are important in clinical research to ensure results are interpreted correctly.

We are thankful to the authors for their valuable research, and we would like to suggest the authors consider the issues discussed above before applying their results to clinical practice.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

References

K. L. Larsen, L. R. Brilla, W. L. McLaughlin, and Y. Li, “Effect of Deep Slow Breathing on Pain-Related Variables in Osteoarthritis,” Pain Research and Management, vol. 2019, Article ID 5487050, 9 pages, 2019.

S. T. Vijay, “Sample Size Estimation in Clinical Trial,” Perspectives in Clinical Research, vol. 1, no. 2, pp. 67–69, 2010.

A. Ghasemi and S. Zahediasl, “Normality Tests for Statistical Analysis: A Guide for Non-Statisticians,” International Journal of Endocrinology and Metabolism, vol. 10, no. 2, pp. 486–489, 2012.