Correlation between Serum Uric Acid and HbA1c Levels in Patients with Type 2 Diabetes Mellitus

Rifan Nugraha, Nina Tristina, Miftanurachman Miftanurachman


Background: Indonesia ranks fourth among countries with the highest number of diabetics. Increasing evidence suggests that hyperuricemia is an independent risk factor for impaired fasting glucose (IFG) and type 2 diabetes.  Some observational studies have identified elevated uric acid concentration as a risk factor for diabetes, while others have found an inverse relationship. The present study was conducted to discover the strength and the direction of the correlation.

Methods: This study was an analytical cross-sectional study conducted from May to October 2014. The study subjects were 56 medical records of new outpatients diagnosed with T2DM in the Internal Medicine Polyclinic who underwent laboratory examination at the Clinical Pathology Unit of Dr. Hasan Sadikin General Hospital, January-December 2013.

Result: The correlation between HbA1c and uric acid levels on the whole subject revealed a weak but significant negative correlation (r=-0.354, p=0.007). There was an insignificant negative correlation in male subjects (r=-0.405, p=0.120); in female subjects (r=-0.319, p=0.05), the correlation was a weak but insignificant negative correlation.

Conclusions: There is a weak correlation between HbA1c and uric acid levels in patients with Diabetes Mellitus type 2. 


Correlation, HbA1c, T2DM, uric acid

Full Text:



Giriwijoyo S. Ilmu faal olahraga: fungsi tubuh manusia pada olah raga. 1st ed. Bandung: FPOK UPI; 2007. p. 43.

LaMonte MJ, Barlow CE, Jurca R, Kampert JB, Church TS, Blair SN. Cardiorespiratory fitness is inversely associated with the incidence of metabolic syndrome. Circulation. 2005; 112 (4):505−12.

Gill JM, Malkova D. Physical activity, fitness and cardiovascular disease risk in adults: interactions with insulin resistance and obesity. Clin Sci (Lond).2006; 110(4):409−25.

Muhibin Syah ME. Psikologi pendidikan. 1st ed. Jakarta: Raja Grafinda Persada; 2003. p. 89.

Coe PW, Pivarnik JM, Womack CJ, Reeves MJ, Malina RM. Effect of physical education and activity levels on academic achievement in children. Med Sci Sports Exerc. 2006;38(8):1515−9.

Trudeau F, Shephard RJ. Physical education, school physical activity, school sports and academic perfomance. Int J Behav Nutr Phys Act. 2008;5(1):10−22.

Sabia JJ. The effect of body weight on adolescent academic perfomance. Southern Economic Journal. 2007; 73(4):871−900.

Maples WC. Visual factor that significantly impact academic perfomance. Optometry. 2003;74(1): 35−49.

Grissom JB. Physical fitness and academic achievement. JEPonline. 2005;8(1):11−25.

Eveland-Sayers BM, Farley RS, Fuller DK, Morgan DW, Caputo JL. Physical fitness and academic achievement in elementary school children. J Phys Act Health. 2009;6(1):99−104.

Álvarez-Bueno C, Pesce C, Cavero-Redondo I, et al. Academic Achievement and Physical Activity: A Meta-analysis. Pediatrics. 2017;140-6.

Asmare B, Taddele M, Berihun M and Wagnew F. Nutritional status and correlation with academic performance among primary school children, northwest Ethiopia. BMC Res Notes. 2018;11:805.

WHO intl. WHO child growth reference 2007. Available at


Article Metrics

Abstract view : 564 times
PDF - 287 times

 This Journal indexed by




Creative Commons License
AMJ is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License


View My Stats