Diastasis Rehab Statistics
FAQ

Tupler Technique® Program Results: Frequently Asked Questions (FAQ)

Q: How was diastasis distance measured?
A: Diastasis distance was measured by the number of fingers that Tupler Technique® Professionals could spread horizontally across the patient’s diastasis. To approximate finger width, this number was multiplied by 1.8, the mean adult finger width observed in centimeters in the following studies:

  • Johnson, Peter, and Sharon Blackstone. "Children and Gender—differences in Exposure and How Anthropometric Differences Can Be Incorporated into the Design of Computer Input Devices." Scandinavian Journal of Work and Health 3 (2007): 26-32.
  • Dandekar, Kiran, Balasundar Raju and Mandayam Srinivasan. “3-D Finite Element Models of Human and Monkey Fingertips to Investigate the Mechanics of Tactile Sense.” Journal of Biomechanical Engineering125.5 (2003): 682-91.
  • Chandra, Arunesh, Pankaj Chandna, and Surinder Deswal. “Analysis of Hand Anthropometric Dimensions of Male Industrial Workers of Haryana State.” International Journal of Engineering 29.2 (2011): 163-182.

Q: What does “connective tissue depth” mean?   
A: “Connective tissue depth” refers to the depth of the diastasis. Throughout the program, the depth was measured and recorded as Shallow (corresponding to 0-3 cm), Medium (corresponding to 3-6 cm), or Deep (corresponding to 6-7 cm). Shallow is the most desirable measurement, as it means either that clients’ connective tissue has properly healed or that the existing depth of the diastasis is very minor. At each stage, the statistical analysis calculated the frequency of clients who had the ideal outcome, e.g., a “shallow” depth. By Week 18, 69.61% of clients had achieved this designation. 

Q: What kind of statistical tests were used to arrive at the P-values?
A: A paired t-test was used in order to analyze the diastasis distance and body circumference. The paired t-test was ideal for this analysis because the sample met all of the test’s parameters and because the data contained “before” and “after” results for each client. This allowed only clients who had both “before” and “after” measurements to be compared and analyzed, with each client effectively serving as his or her own control. By reducing the inevitable variability between clients, the paired t-test served as the most accurate and appropriate statistical method available for this sample.

McNemar’s test was used to analyze the significance of connective tissue depth. Measurements for a client’s connective tissue depth represented categorical – as opposed to numerical – data. Unlike diastasis distance or body circumference, connective tissue depth was categorized as either shallow, medium, or deep, with quantitative ranges corresponding to each of those categories. Therefore, the paired t-test could not be used. However, McNemar’s test is conducted specifically for paired categorical data and was the ideal test in this case.

Q: What is a P-value and what do the P-values for your results indicate?
A: A P-value is the probability of getting our results purely by chance - that is, if the Tupler Technique® exerted zero influence on the data. The smaller the P-value, the greater the evidence that the Tupler Technique® strongly influenced clients’ final measurements. Generally, results are considered “significant” if P > .01. In this analysis, for each diastasis measurement (diastasis distance, body circumference, and connective tissue depth), P-values were substantially less than .01. These p-values serve as robust evidence to support the hypothesis that the Tupler Technique® program significantly impacted clients’ reductions in their diastasis.

See Statistics Sumary

Additional Statistics Details:
DIASTASIS DISTANCE: Tupler Technique® Program Results, 2009-2014
BELLY CIRCUMFERENCE: Tupler Technique® Program Results, 2009-2014
DIASTASIS DEPTH: Percentage of Clients with Shallow Depth (0-3cm)
Statistical Outcomes and Insights: Tupler Technique® Program Results, 2009-2014
Tupler Technique® Program Results: Frequently Asked Questions (FAQ)
Statistics Summary

 

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