Giving science the finger-is the second-to-fourth digit ratio (2D:4D) a biomarker of good luck? A cross sectional study.


Journal

BMJ (Clinical research ed.)
ISSN: 1756-1833
Titre abrégé: BMJ
Pays: England
ID NLM: 8900488

Informations de publication

Date de publication:
15 12 2021
Historique:
entrez: 16 12 2021
pubmed: 17 12 2021
medline: 31 12 2021
Statut: epublish

Résumé

To explore whether random chance, weak research methodology, or inappropriate reporting can lead to claims of statistically significant (yet, biologically meaningless) biomarker associations, using as a model the relation between a common surrogate of prenatal testosterone exposure, second-to-fourth digit ratio (2D:4D), and a random indicator of good luck. Cross sectional study. University sports performance laboratory in the United States. Data were collected from May 2015 to February 2017. 176 adults (74 women, 102 men), including university students, faculty, and staff with no history of injuries, disease, or medical conditions that would affect digit length. 2D:4D, body composition parameters potentially influenced by androgens (bone mineral content, bone mineral density, body fat percentage), and good luck (using poker hands from randomly selected playing cards as a surrogate). 2D:4D significantly correlated with select body composition parameters (Spearman's Greater prenatal exposure to testosterone, as estimated by a lower 2D:4D, significantly increases good luck in adulthood, and also modulates body composition (albeit to a lesser degree). While these findings are consistent with a wealth of research reporting that 2D:4D is related to many seemingly disparate outcomes, they are not meant to provide confirmatory evidence that 2D:4D is a universal biomarker of nearly everything. Instead, the associations between 2D:4D and good luck are simply due to chance, and provide a "handy" example of the reproducibility crisis within medical and scientific research. Biologically sound hypotheses, pre-registration of trials, strong methodological and statistical analyses, transparent reporting of negative results, and unbiased interpretation of data are all necessary for biomarker studies and other areas of clinical research.

Identifiants

pubmed: 34911738
doi: 10.1136/bmj-2021-067849
pmc: PMC8672321
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e067849

Commentaires et corrections

Type : CommentIn

Informations de copyright

© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/disclosure-of-interest/ and declare: no support from any organization for the submitted work; no financial relationships with any organizations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work.

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Auteurs

James M Smoliga (JM)

Department of Physical Therapy, High Point University, High Point, NC, USA jsmoliga@highpoint.edu.

Lucas K Fogaca (LK)

Department of Physical Therapy, High Point University, High Point, NC, USA.

Jessica S Siplon (JS)

Department of Physical Therapy, High Point University, High Point, NC, USA.

Abigail A Goldburt (AA)

Department of Physical Therapy, High Point University, High Point, NC, USA.

Franziska Jakobs (F)

Department of Physical Therapy, High Point University, High Point, NC, USA.

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Classifications MeSH