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Published on: October 10, 2012
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Proving a negative? Methodological, statistical, and psychometric flaws in Ullmann et al. (2017) PTSD study
1University of Melbourne, Australia.
Journal of Clinical and Translational Research
|March 16, 2019
Summary
A pilot study found no significant difference in hair cortisol or cortisone between circumcised and intact men. However, the study was underpowered, and its conclusions about circumcision
Area of Science:
- Endocrinology
- Psychiatry
- Urology
Background:
- Male circumcision is a common procedure with ongoing debate regarding potential long-term psychological effects.
- The hypothalamic-pituitary-adrenal (HPA) axis is a key regulator of the stress response.
- Hair cortisol and cortisone levels are increasingly used as biomarkers for long-term stress exposure.
Purpose of the Study:
- To investigate potential long-term psychopathological effects of male circumcision by examining hair cortisol and cortisone levels.
- To assess the functionality of the HPA axis in circumcised versus non-circumcised men.
Main Methods:
- A pilot study comparing hair cortisol and cortisone levels in circumcised men and genitally intact (non-circumcised) men.
- Analysis of hair samples to measure levels of cortisol and cortisone, serving as biomarkers for chronic stress.
- Statistical analysis to determine significant differences between the two groups.
Main Results:
- The study reported no statistically significant reduction in hair cortisol or cortisone levels in circumcised men compared to non-circumcised men.
- The authors interpreted these null findings as evidence against long-term psychopathological effects of circumcision.
- The authors also claimed evidence for healthy HPA axis functionality in circumcised individuals.
Conclusions:
- The authors' conclusions regarding the refutation of psychopathological effects and healthy HPA axis functionality are not supported by the null findings of this underpowered pilot study.
- The study's limitations, including potential underpowering, suggest that the observed trends might indicate opposite effects in a larger, adequately powered study.
- Weaknesses in study design, measurement, and interpretation further undermine the authors' strong claims, indicating their conclusions are not data-supported.
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