ASSOCIATION BETWEEN NECK CIRCUMFERENCE AND ASYMPTOMATIC HYPERURICEMIA IN NEARLY HEALTHY ADULTS

J. Yeo, I. C. Hwang, H. S. Suh, H. Y. AhnGil Medical Center, Gachon University College of Medicine, Department of Internal Medicine, Division of Rheumatology, Incheon, Korea, Rep. of (South Korea) Gil Medical Center, Gachon University College of Medicine, Department of Family Medicine, Incheon, Korea, Rep. of (South Korea) Dongguk University, Department of Statistics, Seoul, Korea, Rep. of (South Korea)  Background Central obesity, a key component of metabolic syndrome, notably impacts serum uric acid levels. In previous studies, several obesity indicators (e.g., body mass index, waist circumference, and waist-to-height ratio) have been investigated as potential predictors of hyperuricemia. Meanwhile, neck circumference (NC) measurement has been recently developed as a simple and time-saving anthropometric method for predicting cardiovascular risk. Only a few studies have evaluated the relationship between hyperuricemia and NC; however, their populations have consisted only of female individuals or specific populations, or included patients with overt gout. Objectives This study aimed to determine the relationship of asymptomatic hyperuricemia with NC, innovative and simple anthropometric method, in the general population. Methods This cross-sectional study used data from the 2019–2020 Korea National Health and Nutrition Examination Survey. Among 15,469 individuals, we excluded 6,814 without available data on NC or serum uric acid, and 1,026 with critical confounders: overt cardiovascular disease; gout; chronic kidney disease; and serum creatinine > 1.2 mg/dL. Multivariate logistic regression analysis was used to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) for hyperuricemia according to quartiles of NC. Results A total of 7,629 subjects including 6,814 with normouricemia and 815 with hyperuricemia were included. The mean age was fifty nine years in both groups. 56.1% of the hyperuricemia group and 38.7% of normouricemic group were male (p<0.001). The percentage of low income was higher in hyperuricemic than normouricemic group (50.6% vs 46.5%, P=0.027). Co-morbidities including obesity (53.0% vs. 34.8%; P<0.001) and hypertension (37.4% vs. 29.8%; P<0.001), and health-related habits including current smoking (18.8% vs. 14.7%; P=0.002) and frequent drinking (37.0% vs. 22.2%; P<0.001) were higher in hyperuricemic group than normouricemic group. The subjects with hyperuricemia displayed greater NC than normouricemia (36.5 ± 3.3 cm vs. 34.7 ± 3.3 cm; P<0.001). Multivariable regression analysis revealed that NC was significantly associated with hyperuricemia in women (OR 1.17; 95% CI 1.06-1.30), but not in men (OR 1.04; 95% CI 0.96-1.12) (Table 1). Conclusion NC was positively correlated with serum uric acid levels and this association was significant in women. Our finding suggests that NC can contribute to detecting asymptomatic hyperuricemia earlier and further to determining risk of metabolic syndrome in healthy adults. References Asil S, et al. Relationship between Cardiovascular Disease Risk and Neck Circumference Shown in the Systematic Coronary Risk Estimation (SCORE) Risk Model. Int J Environ Res Public Health. 2021;18(20). Yang H, et al. Neck Circumference Is Associated With Hyperuricemia in Women With Polycystic Ovary Syndrome. Front Endocrinol (Lausanne). 2021;12:712855. Table 1. Factors associated with hyperuricemia Men Women aOR (95% CI) P-value aOR P-value Age, per 1-year increase 0.97 (0.96–0.99) <0.001 1.03 (1.01–1.04) 0.001 Low income 1.26 (0.99–1.59) 0.057 1.30 (0.97–1.74) 0.081 BMI, per 1-kg/m increase 1.09 (1.03–1.15) 0.003 1.06 (1.01–1.13) 0.033 Hypertension 1.00 (0.77–1.31) 0.993 1.37 (1.00–1.89) 0.051 Type 2 diabetes 0.53 (0.36–0.78) 0.001 0.69 (0.44–1.08) 0.105 Current smoking 0.76 (0.60–0.97) 0.027 1.26 (0.70–2.29) 0.443 Frequent drinking 1.75 (1.41–2.18) <0.001 1.81 (1.24–2.64) 0.002 Regular aerobic exercise 0.96 (0.77–1.19) 0.691 1.00 (0.75–1.32) 0.974 NC, per 1-cm increase 1.04 (0.96–1.12) 0.314 1.17 (1.06–1.30) 0.002 From the multivariable logistic regression models adjusted for all variables; Less than median household income; §More than twice per week; Defined as ≥2.5 hours/week of moderate-intensity activities, ≥1.25 hours/week of high-intensity activities, or a combination of both. aOR, adjusted odds ratio; CI, confidence interval; BMI, body mass index; NC, neck circumference. Acknowledgements: NIL. Disclosure of Interests None Declared. Keywords: Diagnostic tests, Gout, Comorbidities DOI: 10.1136/annrheumdis-2023-eular.2470Citation: , volume 82, supplement 1, year 2023, page 2026Session: Public health, health services research, and health economics (Publication only)