Dear editor
In their study, Mendoza-Núñez et al studied the effect of Tai chi (TC) exercise on oxidative stress (OxS) in elderly with metabolic syndrome (MetS), with a painstaking study protocol.1
They included a total of 85 older sedentary adults with MetS. The control group did not participate in physical exercise (n=37), and the experimental group was enrolled in a TC exercise training program (n=48). They measured in both groups, in the pre- and post-intervention periods, the cardiovascular parameters, OxS markers and inflammation markers. They concluded that a statistically significant decrease in HbA1c and a decrease in the OxS score were observed in the TC group compared with the control group. They did not observe changes in the cardiovascular parameters.
However, there seems to be a significant statistical error in the analyses section. They declared that to compare the frequency of OxS pre- and post-intervention, they used the chi-square test. However, importantly, they should have used the McNemar test as these are related samples, not independent samples.2
It has been shown that in analyses of paired data, use of the chi-square test is not acceptable. Instead, in analyses of paired measurements, one should use the McNemar test.3,4 In the three studies referred to by Mendoza-Núñez et al (the references 35–37 in the original paper), the authors did not use the chi-square test but used the McNemar test or some other tests suitable for the paired data.
On the other hand, regarding the effects of TC exercise on cardiovascular parameters, there are many published studies suggesting its favorable effects.5,6 Accordingly, we suggest that the analyses should be repeated with these concerns to have the actual results. This well-designed study which has some significant erroneous statistical analyses approaches.
Footnotes
Disclosure
The authors report no conflicts of interest in this communication.
References
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