Using linear regression model to explore the relationship between testosterone and SUA in adult males: NHANES 2013–2016

Hongyi Chen

doi:10.1117/12.2669014

24 March 2023 Using linear regression model to explore the relationship between testosterone and SUA in adult males: NHANES 2013–2016

Hongyi Chen

Author Affiliations +

Proceedings Volume 12611, Second International Conference on Biological Engineering and Medical Science (ICBioMed 2022); 126113Y (2023) https://doi.org/10.1117/12.2669014
Event: International Conference on Biological Engineering and Medical Science (ICBioMed2022), 2022, Oxford, United Kingdom

Abstract

Even to this day, limited studies have suggested a relationship between testosterone and SUA. The results of them are also controversial. In order to better understand this potential relationship, we looked into adult males in the United States. Data from the National Health and Nutrition Examination Survey 2013–2016 were gathered, containing 1919 adult male participants aged 18-64 years with required data existing. A summary of all useful participants’ characteristics among different SUA groups is conducted. We also used simple and multiple linear regression model to explore the relationship. Finally, we discovered that testosterone and SUA had a negative relationship. In the multiple regression model, we discovered that increasing uric acid, age, BMI, ALT, hypertension, diabetes and HOMA-IR were related to decreasing serum testosterone in males aged 18-64 years in the US.

Citation Download Citation

Hongyi Chen "Using linear regression model to explore the relationship between testosterone and SUA in adult males: NHANES 2013–2016", Proc. SPIE 12611, Second International Conference on Biological Engineering and Medical Science (ICBioMed 2022), 126113Y (24 March 2023); https://doi.org/10.1117/12.2669014

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