ABSTRACT
Background
It is well-recognized that hyperuricemia is a common abnormality among individuals with metabolic syndrome.
Aims
The objective of this study was to determine whether hyperuricemia is associated with the metabolically obese normal-weight (MONW) and metabolically healthy obese (MHO) phenotypes.
Methods
Men and women equal or greater than 18 years of age were enrolled in a cross-sectional study. Normal-weight subjects were allocated into the MONW or healthy normal-weight (HNW) groups; while obese individuals were divided into the MHO and metabolically unhealthy obese (MUO) subgroups. MONW phenotype was defined by body mass index (BMI) <25.0 kg/m2 accompanied by at least one cardiovascular risk factor (hyperglycemia, elevated blood pressure, hypertriglyceridemia, and low high-density lipoprotein cholesterol), and MHO phenotype was considered in obese subjects (BMI ≥30 kg/m2) without metabolic abnormalities.
Results
A total of 567 individuals were enrolled; of them, normal-weight subjects were allocated into the MONW (n = 101) and control (n = 72) groups, whereas obese individuals into the MHO (n = 61) and MUO (n = 333) groups. The multiple logistic regression analysis adjusted by age, gender, and body mass index revealed that hyperuricemia is significantly associated with MONW (OR = 5.14; 95% CI: 1.37–19.29) and MHO (OR = 0.34; 95% CI: 0.14–0.82) phenotypes.
Conclusion
Results of our study showed that hyperuricemia is associated with both MONW and MHO phenotypes.
Disclosure Statement
No potential conflict of interest was reported by the author(s).
Data Availability Statement
The data used to support the results of our study are shown within the article.
Research Ethics Approval
All procedures performed in human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments. Written informed consent was obtained from the participants.
Contributorship
F. Guerrero-Romero and L.E. Simental-Mendía equally contributed to the conception, design, and interpretation of the data.. Both authors have reviewed the manuscript, approved its final version and are the guarantors of the work. Both authors take responsability for the integrity of the data and accuracy of the data analysis.