Optimalisasi Skrining HbA1c sebagai Gambaran Rata-Rata Gula Darah 3 Bulan untuk Deteksi Dini Diabetes

Authors

  • Siufui Hendrawan Universitas Tarumanagara
  • Alexander Halim Santoso Universitas Tarumanagara
  • Bryan Anna Wijaya Universitas Tarumanagara

DOI:

https://doi.org/10.55606/jpmi.v5i1.6506

Keywords:

Blood Glucose, Community Screening, Diabetes Mellitus, Early Detection, HbA1c

Abstract

Diabetes mellitus is a chronic metabolic disorder with a steadily increasing prevalence, often diagnosed at an advanced stage. Glycated hemoglobin (HbA1c) reflects the average blood glucose level over the past three months and serves as a key indicator for early detection of glucose dysregulation. This community service program aimed to optimize HbA1c screening as a simple and effective tool for early diabetes detection within the Baduy community. The activity was conducted using a Point of Care Testing (POCT) approach combined with health education focused on risk factors and diabetes prevention. A total of 59 participants aged 16–75 years underwent HbA1c and fasting blood glucose (FBG) assessments. The mean HbA1c was 4.49 ± 0.6%, and the mean FBG was 97.83 ± 23.21 mg/dL. Based on HbA1c classification, 96.6% of participants were within the normal range, while 3.4% met the criteria for diabetes. According to FBG results, 33.3% were normal, 16.2% prediabetic, and 3.6% diabetic. The prevalence of prediabetes and diabetes was higher among females than among males. An age-related increase in mean glucose levels was observed, indicating reduced insulin sensitivity in older adults. This program not only generated valuable epidemiological data but also enhanced community health literacy and strengthened the role of local health cadres in early disease detection. Community-based optimization of HbA1c screening represents a promising promotive–preventive strategy to reduce the diabetes burden and improve the quality of life in indigenous populations.

Downloads

Download data is not yet available.

References

Arifin, N. A., Shamsudin, J., Abdul Manaf, M., Rasudin, S., & Mohd Yusoff, S. S. (2024). Nutritional assessment among type 2 diabetes mellitus patients in Southeast Asian countries: A scoping review. Jurnal Gizi dan Pangan, 19(1), 11–20. https://doi.org/10.25182/jgp.2024.19.1.11-20

Breyer, M., Ofenheimer, A., Altziebler, J., Hartl, S., Burghuber, O. C., Studnicka, M., Purin, D., Heinzle, C., Drexel, H., Franssen, F. M. E., Wouters, E. F. M., Harreiter, J., Kautzky-Willer, A., & Breyer-Kohansal, R. (2020). Marked differences in prediabetes- and diabetes-associated comorbidities between men and women: Epidemiological results from a general population-based cohort aged 6–80 years (The LEAD study). European Journal of Clinical Investigation, 50(3), e13207. https://doi.org/10.1111/eci.13207

Dubowitz, N., Xue, W., Long, Q., Ownby, J. G., Olson, D. E., Barb, D., Rhee, M. K., Mohan, A. V., Watson-Williams, P. I., Jackson, S. L., Tomolo, A. M., Johnson, T. M., & Phillips, L. S. (2014). Aging is associated with increased HbA1c levels, independently of glucose levels and insulin resistance, and also with decreased HbA1c diagnostic specificity. Diabetic Medicine, 31(8), 927–935. https://doi.org/10.1111/dme.12459

Heianza, Y., Arase, Y., Kodama, S., Hsieh, S. D., Tsuji, H., Saito, K., Shimano, H., Hara, S., & Sone, H. (2013). Effect of postmenopausal status and age at menopause on type 2 diabetes and prediabetes in Japanese individuals: The Toranomon Hospital Health Management Center Study 17 (TOPICS 17). Diabetes Care, 36(12), 4007–4014. https://doi.org/10.2337/dc13-1048

Hendrawan, S., Nathaniel, F., Satyanegara, W. G., Wijaya, D. A., Kusuma, K. F., Tamaro, A., & Santoso, A. H. (2023). Kegiatan pengabdian masyarakat berupa penyuluhan dan skrining HbA1c dalam rangka meningkatkan kesadaran masyarakat terhadap diabetes melitus tipe 2. Community Development Journal, 4(6), 12077–12083.

Huang, Y., Xu, Y., Qiao, Y., Wang, H., & Zhong, V. W. (2023). Quantifying the contribution of 31 risk factors to the increasing prevalence of diabetes among U.S. adults, 2005–2018. Frontiers in Public Health, 11, 1174632. https://doi.org/10.3389/fpubh.2023.1174632

Ju, S. H., & Yi, H.-S. (2022). Implication of sex differences in visceral fat for the assessment of incidence risk of type 2 diabetes mellitus. Diabetes & Metabolism Journal, 46(3), 414–416. https://doi.org/10.4093/dmj.2022.0089

Marini, M. A., Frontoni, S., Succurro, E., Arturi, F., Sciacqua, A., Hribal, M. L., Perticone, F., & Sesti, G. (2014). Insulin sensitivity and β-cell function in relation to hemoglobin A1c. Nutrition, Metabolism and Cardiovascular Diseases, 24(1), 27–33. https://doi.org/10.1016/j.numecd.2013.01.011

Naito, H., Kaga, H., Someya, Y., Tabata, H., Kakehi, S., Yoshizawa, Y., Kiya, M., Tajima, T., Ito, N., Sato, M., Kadowaki, S., Funayama, T., Watada, H., & Tamura, Y. (2023). Effects of aging after age 65 on glucose tolerance, insulin sensitivity, and β-cell function in Japanese: The Bunkyo Health Study. Diabetes, 72(Suppl. 1), 1216-P. https://doi.org/10.2337/db23-1216-P

Nina, N., Purnama, H., Adzidzah, H. Z. N., Solihat, M., Septriani, M., & Sulistiani, S. (2023). Determinan risiko dan pencegahan terhadap kejadian penyakit diabetes melitus tipe 2 pada usia produktif di wilayah DKI Jakarta. Journal of Public Health Education, 2(4), 377–385. https://doi.org/10.53801/jphe.v2i4.148

Oppermann, K., & Spritzer, P. M. (2024). Prevalence and risk factors associated with diabetes mellitus among middle-aged women in southern Brazil: A population-based study. Menopause, 31(3), 225–230. https://doi.org/10.1097/GME.0000000000002320

Palmer, A. K., & Jensen, M. D. (2022). Metabolic changes in aging humans: Current evidence and therapeutic strategies. Journal of Clinical Investigation, 132(16), e158451. https://doi.org/10.1172/JCI158451

Petersen, M. C., & Mittendorfer, B. (2023). Dysfunctional adipose tissue and skeletal muscle insulin resistance: Cause and effect or two sides of the same coin? Obesity, 31(5), 1185–1187. https://doi.org/10.1002/oby.23750

Saha, S., & Schwarz, P. E. H. (2017). Impact of glycated hemoglobin (HbA1c) on identifying insulin resistance among apparently healthy individuals. Journal of Public Health, 25(5), 505–512. https://doi.org/10.1007/s10389-017-0805-4

Shou, J., Chen, P.-J., & Xiao, W.-H. (2020). Mechanism of increased risk of insulin resistance in aging skeletal muscle. Diabetology & Metabolic Syndrome, 12(1), 14. https://doi.org/10.1186/s13098-020-0523-x

Sitasuwan, T., & Lertwattanarak, R. (2020). Prediction of type 2 diabetes mellitus using fasting plasma glucose and HbA1c levels among individuals with impaired fasting plasma glucose: A cross-sectional study in Thailand. BMJ Open, 10(11), e041269. https://doi.org/10.1136/bmjopen-2020-041269

Sun, H., Saeedi, P., Karuranga, S., Pinkepank, M., Ogurtsova, K., Duncan, B. B., Stein, C., Basit, A., Chan, J. C. N., Mbanya, J. C., Pavkov, M. E., Ramachandaran, A., Wild, S. H., James, S., Herman, W. H., Zhang, P., Bommer, C., Kuo, S., Boyko, E. J., & Magliano, D. J. (2022). IDF diabetes atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Research and Clinical Practice, 183, 109119. https://doi.org/10.1016/j.diabres.2021.109119

Zheng, D., Zhao, C., Ma, K., Ruan, Z., Zhou, H., Wu, H., & Lu, F. (2024). Association between visceral adiposity index and risk of diabetes and prediabetes: Results from the NHANES (1999–2018). PLOS ONE, 19(4), e0299285. https://doi.org/10.1371/journal.pone.0299285

Zhou, H., Li, T., Li, J., Zhuang, X., & Yang, J. (2024). The association between visceral adiposity index and risk of type 2 diabetes mellitus. Scientific Reports, 14(1), 16634. https://doi.org/10.1038/s41598-024-67430-x

Downloads

Published

2026-01-03

How to Cite

Hendrawan, S., Santoso, A. H., & Wijaya, B. A. (2026). Optimalisasi Skrining HbA1c sebagai Gambaran Rata-Rata Gula Darah 3 Bulan untuk Deteksi Dini Diabetes. JURNAL PENGABDIAN MASYARAKAT INDONESIA, 5(1), 395–406. https://doi.org/10.55606/jpmi.v5i1.6506

Similar Articles

<< < 1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.