Optimalisasi Deteksi Dini Diabetes Melitus melalui Pemeriksaan HbA1c dan Gula Darah Puasa sebagai Intervensi Promotif-Preventif
DOI:
https://doi.org/10.59653/jcsse.v4i01.2108Keywords:
community screening, diabetes millitus, early detection, fasting blood glucose, HbA1cAbstract
Diabetes Mellitus (DM) is a major global health challenge with a steadily increasing prevalence over recent decades. Early detection through glycemic parameters such as HbA1c and Fasting Blood Glucose (FBG) is essential for effective promotive-preventive interventions. This community service activity aimed to optimize DM screening using practical and efficient Point of Care Testing (POCT) among 99 adult participants in South Jakarta. The average HbA1c level was 5.15% (SD 1.09), while the mean FBG was 109.15 mg/dL (SD 42.55). A total of 11.1% of participants were diagnosed with diabetes based on HbA1c criteria, and 18.2% based on FBG. Glycemic abnormalities were more prevalent among women and the elderly, highlighting vulnerabilities in glucose metabolism within these groups. Integrating POCT screening with comprehensive health education effectively facilitated early identification of at-risk individuals and improved community awareness of DM prevention. These findings support routine community-based screening as a sustainable promotive-preventive strategy to reduce the burden of DM and prevent long-term complications.
Downloads
References
Bermingham, K., Linenberg, I., Valdes, A., Hall, W., Manson, J., Newson, L., Chan, A., Kade, K., Franks, P., Wolf, J., Spector, T., & Berry, S. (2022). Menopause Is a Key Factor Influencing Postprandial Metabolism, Metabolic Health and Lifestyle: The ZOE PREDICT Study. Current Developments in Nutrition, 6, 1. https://doi.org/10.1093/cdn/nzac047.001
Choi, Y.-J., Kim, G. S., Chu, S. H., Lee, K. H., Park, C. G., & Sohn, M. (2024). Metabolic syndrome clustering patterns and the association with cardiovascular disease among post-menopausal Korean women. Scientific Reports, 14(1), 22702. https://doi.org/10.1038/s41598-024-72403-1
Gado, M., Tsaousidou, E., Bornstein, S. R., & Perakakis, N. (2024). Sex-based differences in insulin resistance. Journal of Endocrinology, 261(1). https://doi.org/10.1530/JOE-23-0245
Kang, S., Park, Y.-M., Kwon, D. J., Chung, Y.-J., Namkung, J., Han, K., & Ko, S.-H. (2022). Reproductive Life Span and Severe Hypoglycemia Risk in Postmenopausal Women with Type 2 Diabetes Mellitus. Diabetes & Metabolism Journal, 46(4), 578–591. https://doi.org/10.4093/dmj.2021.0135
Kovács, N., Shahin, B., Andrade, C. A. S., Mahrouseh, N., & Varga, O. (2024). Lifestyle and metabolic risk factors, and diabetes mellitus prevalence in European countries from three waves of the European Health Interview Survey. Scientific Reports, 14(1), 11623. https://doi.org/10.1038/s41598-024-62122-y
Li, G., Han, L., Wang, Y., Zhao, Y., Li, Y., Fu, J., Li, M., Gao, S., & Willi, S. M. (2018). Evaluation of ADA HbA1c criteria in the diagnosis of pre-diabetes and diabetes in a population of Chinese adolescents and young adults at high risk for diabetes: a cross-sectional study. BMJ Open, 8(8), e020665. https://doi.org/10.1136/bmjopen-2017-020665
Marková, I., Hüttl, M., Miklánková, D., Šedová, L., Šeda, O., & Malínská, H. (2024). The Effect of Ovariectomy and Estradiol Substitution on the Metabolic Parameters and Transcriptomic Profile of Adipose Tissue in a Prediabetic Model. Antioxidants, 13(6), 627. https://doi.org/10.3390/antiox13060627
Nam, M. J., Kim, H., Choi, Y. J., Cho, K.-H., Kim, S. M., Roh, Y.-K., Han, K., Jung, J.-H., Park, Y.-G., Park, J.-H., & Kim, D.-H. (2022). A Longitudinal Retrospective Observational Study on Obesity Indicators and the Risk of Impaired Fasting Glucose in Pre- and Postmenopausal Women. Journal of Clinical Medicine, 11(10), 2795. https://doi.org/10.3390/jcm11102795
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
Ong, K. L., Stafford, L. K., McLaughlin, S. A., Boyko, E. J., Vollset, S. E., Smith, A. E., Dalton, B. E., Duprey, J., Cruz, J. A., Hagins, H., Lindstedt, P. A., Aali, A., Abate, Y. H., Abate, M. D., Abbasian, M., Abbasi-Kangevari, Z., Abbasi-Kangevari, M., Abd ElHafeez, S., Abd-Rabu, R., … Vos, T. (2023). Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet, 402(10397), 203–234. https://doi.org/10.1016/S0140-6736(23)01301-6
Park, S. H., Yao, J., Chua, X. H., Chandran, S. R., Gardner, D. S. L., Khoo, C. M., Müller-Riemenschneider, F., Whitton, C., & van Dam, R. M. (2022). Diet and Physical Activity as Determinants of Continuously Measured Glucose Levels in Persons at High Risk of Type 2 Diabetes. Nutrients, 14(2), 366. https://doi.org/10.3390/nu14020366
Saei Ghare Naz, M., Farhadi-Azar, M., Noroozzadeh, M., Farahmand, M., & Ramezani Tehrani, F. (2024). Follicle-Stimulating Hormone and Diabetes in Postmenopausal Women: A Systematic Review and Meta-Analysis. The Journal of Clinical Endocrinology & Metabolism, 109(8), 2149–2160. https://doi.org/10.1210/clinem/dgae198
Vatcheva, K. P., Fisher-Hoch, S. P., Reininger, B. M., & McCormick, J. B. (2020). Sex and age differences in prevalence and risk factors for prediabetes in Mexican-Americans. Diabetes Research and Clinical Practice, 159, 107950. https://doi.org/10.1016/j.diabres.2019.107950
Wei, J., Fan, L., He, Z., Zhang, S., Zhang, Y., Zhu, X., Xia, F., Song, X., Chen, L., Zou, Z., & Wang, T. (2025). The global, regional, and national burden of type 2 diabetes mellitus attributable to low physical activity from 1990 to 2021: a systematic analysis of the global burden of disease study 2021. International Journal of Behavioral Nutrition and Physical Activity, 22(1), 8. https://doi.org/10.1186/s12966-025-01709-8
Wijaya, B. A., Gunawan, S., & Firmansyah, Y. (2025). Evaluating HbA1c as a Predictive Biomarker for Depression in the Elderly: A Cross-Sectional Analysis. Jambi Medical Journal : Jurnal Kedokteran Dan Kesehatan, 13(1), 16–25. https://doi.org/10.22437/jmj.v13i1.38783
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Frisca, Alexander Halim Santoso, Bryan Anna Wijaya, Fidelia Alvianto, Aditya Pratama
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
