| Title: | Construction of a femininity score in the UK Biobank and its association with angina diagnosis prior to myocardial infarction |
| Journal: | Scientific Reports |
| Published: | 2 Feb 2022 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/35110607/ |
| DOI: | https://doi.org/10.1038/s41598-022-05713-x |
| URL: | https://www.nature.com/articles/s41598-022-05713-x.pdf |
| Citations: | 4 (3 in last 2 years) as of 8 Aug 2024 |
Publication 12570
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Abstract
Gender captures social components beyond biological sex and can add valuable insight to health studies in populations. However, assessment of gender typically relies on questionnaires which may not be available. The aim of this study is to construct a gender metric using available variables in the UK Biobank and to apply it to the study of angina diagnosis. Proxy variables for femininity characteristics were identified in the UK Biobank and regressed on sex to construct a composite femininity score (FS) validated using tenfold cross-validation. The FS was assessed as a predictor of angina diagnosis before incident myocardial infarction (MI) events. The FS was derived for 315,937 UK Biobank participants. In 3059 individuals with no history of MI at study entry who had an incident MI event, the FS was a significant predictor of angina diagnosis prior to MI (OR 1.24, 95% CI 1.10-1.39, P < 0.001) with a significant sex-by-FS interaction effect (P = 0.003). The FS was positively associated with angina diagnosis prior to MI in men (OR 1.37, 95% CI 1.19-1.57, P < 0.001), but not in women. We have provided a new tool to conduct gender-sensitive analyses in observational studies, and applied it to study of angina diagnosis prior to MI.</p>
12 Keywords
- Angina Pectoris
- Biological Specimen Banks
- Female
- Femininity
- Humans
- Male
- Middle Aged
- Myocardial Infarction
- Risk Assessment
- Risk Factors
- Sex Factors
- United Kingdom
8 Authors
- Anna Levinsson
- Simon de Denus
- Johanna Sandoval
- Louis-Philippe Lemieux Perreault
- Joëlle Rouleau
- Jean-Claude Tardif
- Julie Hussin
- Marie-Pierre Dubé
1 Application
| Application ID | Title |
|---|---|
| 20168 | Pharmacogenomic study using the UK Biobank data |
Enabling scientific discoveries that improve human health