Comparison of Random Blood Sugar, Uric Acid, and Cholesterol Levels in Krangkeng Village with Karangjaladri Village, West Java, Indonesia

Rini Hendriani

Abstract


The prevalence of metabolic diseases has increased over time, especially in Indonesia where 17.5% of the population suffers from metabolic syndrome. Metabolic diseases themselves are related to each other such as diabetes mellitus, gout, and dyslipidemia. One of the causes of metabolic diseases is environmental factors so this research aims to examine whether there was a relationship between metabolic diseases between two villages with different environmental conditions (Krangkeng Village and Karangjaladri Village). Data analysis used IBM SPSS Statistics 25 with random blood glucose, total cholesterol, and uric acid data taken using the Multi-Monitoring System Autocheck 3 in 1. The results of the analysis showed that random blood glucose and uric acid levels in men were greater in Karangjaladri village compared to Krangkeng village with statistically significantly different results. Meanwhile, uric acid in women was also greater in Karangjaladri village compared to Krangkeng village but not statistically different. Total cholesterol levels in Krangkeng village were greater than those in Karangjaladri village with statistically significantly different results. This difference could be caused by differences in daily consumption due to differences in geographic location and the main livelihoods of the two villages, where the majority of the residents of Krangkeng village work as farmers and Karangjaladri village as fishermen. The conclusion appears to be that there was a relationship between metabolic diseases and the environmental factors in the two villages studied.


Keywords


Cholesterol level, metabolic syndrome, random blood sugar, uric acid.

Full Text:

PDF

References


Rochlani Y, Pothineni NV, Kovelamudi S, Mehta JL. Metabolic syndrome: pathophysiology, management, and modulation by natural compounds. Therapeutic Advances in Cardiovascular Disease. 2017;11(8): 215-225.

Yulianto MFD, Wahyono TYM, Helda. Metabolic syndrome and stroke among population aged > 15 years in Indonesia: Analysis of riskesdas data 2018. Jurnal Epidemiologi Kesehatan Indonesia. 2023;7(1): 59-62.

Wahidin M, Achadi A, Besral B, Kosen S, Nadjib M, Nurwahyuni A, et al. Projection of diabetes morbidity and mortality till 2045 in Indonesia based on risk factors and NCD prevention and control programs. Scientific Reports. 2024;14(5424): 1-17.

Suastika K. The challenges of metabolic disorders in Indonesia: focus on metabolic syndrome, prediabetes, and diabetes. Medical Journal Indonesia. 2020;29(4): 350-353.

Bowen ME, Xuan L, Lingvay I, Halm EA. Random blood glucose: A robust risk factor for type 2 diabetes. J Clin Endocrinol Metab. 2015;100(4): 1503-1510.

Pappan N, Rehman A. 2023. Dyslipidemia [Accessed on: 21 January 2023]. Available at https://www.ncbi.nlm.nih.gov/books/NBK560891/.

Manish KC, Stephen WL. Uric Acid Nephrolithiasis. [Accessed on: 30 January 2023]. Available at https://www.ncbi.nlm.nih.gov/books/NBK560726/.

Xiong Q, Liu J, Xu Y. Effects of uric acid on diabetes mellitus and its chronic complications. Int J Endocrinol. 2019;2019: 9691345.

Rus M, Crisan S, Andronie-Ciora FL, Indries M, Marian P, Pobirci OL, et al. Prevalence and risk factors of metabolic syndrome: A prospective study on cardiovascular health. Medicina. 2023;59(1711): 1-13.

Badan Pusat Statistik. Kecamatan Krangkeng dalam angka. Indramayu: Badan Pusat Statistik; 2021.

Luciana L, Hamzah A, Mardin. Sumber penghasilan masyarakat nelayan (studi kasus di desa bungin permai kecamatan Tinanggea kabupaten Konawe Selatan). Jurnal Ilmiah Membangun Desa Dan Pertanian. 2017;2(1): 20–24.

Wang Y, Dai Y, Tian T, Zhang J, Xie W, Pan D, et al. The effects of dietary pattern on metabolic syndrome in Jiangsu province of China: based on a nutrition and diet investigation project in Jiangsu province. Nutrients. 2021;13(12): 4451.

Makiel K, Suder A, Targosz A, Maciejczyk M, Haim A. Effect of exercise interventions on irisin and interleukin-6 concentrations and indicators of carbohydrate metabolism in males with metabolic syndrome. Journal of Clinical Medicine. 2023;12(1): 369.

Farmaki P, Damaskos C, Garmpis N, Garmpi A, Savvanis S, Diamantis E. Complications of the type 2 diabetes mellitus. Current Cardiology Reviews. 2020;16(4): 249-251.

Kumagai G, Wada K, Tanaka T, Kudo H, Asari T, Chiba D, et al. Associations between neck symptoms and LDL cholesterol in a cross-sectional population-based study. Journal of Orthopaedic Science. 2018;23(2): 277-281.

Ragab G, Elshahaly M, Bardin T. Gout: An old disease in new perspective – A review. Journal of Advanced Research. 2017;8(5): 495-511.

Tseng TS, Lin WT, Gonzalez GV, Kao YH, Chen LS, Lin HY. Sugar intake from sweetened beverages and diabetes: A narrative review. World Journal of Diabetes. 2021;12(9): 1530-1538.

Yu J, Balaji B, Tinajero M, Jarvis S, Khan T, Vasudevan S, et al. White rice, brown rice and the risk of type 2 diabetes: A systematic review and meta-analysis. BMJ. 2022;12(9): 1-13.

Aihemaitijiang S, Zhang Y, Zhang L, Yang J, Ye C, Halimulati M, et al. The association between purine-rich food intake and hyperuricemia: A cross-sectional study in Chinese adult residents. nutrients. 2020;12(3835): 1-11.

Ko KJ, Kim EH, Baek UH, Gang Z, Kang SJ. The relationship between physical activity levels and metabolic syndrome in male white-collar workers. J Phys Ther Sci. 2016;28(11): 3041–3046.

£uczyñska J, Paszczyk B, £uczyñski MJ. Fatty acid profiles in marine and freshwater fish from fish market in northeastern Poland. Arch Pol Fish. 2014;22: 181-188.

Asmah R, Suamiyah SSA, Nurul SR. Comparison of protein, total fat, and omega-3 fatty acids content in yellowtail catfish (Pangasius pangasius) and long tail shad (Hilsa (clupea) macrura) in raw and pressurized fish. International Food Research Journal. 2014;21(6): 2147-2153.

Saini RK, Song MH, Rengasamy KRR, Ko EY, Keum YS. Red shrimp are a rich source of nutritionally vital lipophilic compounds: A comparative study among edible flesh and processing waste. Foods. 2020;9(1179): 1-19.




DOI: https://doi.org/10.15416/pcpr.v10i1.61595

Refbacks

  • There are currently no refbacks.


                                                                         
Pharmacology and Clinical Pharmacy Research is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
 
                                                                      VIEW VISITOR STATS