Deteksi Dini Risiko Sindrom Metabolik melalui Pemeriksaan Profil Lipid pada Kelompok Lansia
DOI:
https://doi.org/10.58812/jpws.v5i09.3801Kata Kunci:
Pengabdian Masyarakat, Dislipidemia, Profil Lipid, Lansia, SkriningAbstrak
Dislipidemia merupakan salah satu faktor risiko utama penyakit kardiovaskular yang sering tidak terdeteksi pada lansia karena bersifat asimtomatik. Kegiatan pengabdian kepada masyarakat ini bertujuan melakukan skrining profil lipid dan meningkatkan pemahaman lansia mengenai pencegahan penyakit kardiometabolik. Kegiatan dilaksanakan menggunakan pendekatan Plan–Do–Check–Act (PDCA) yang mencakup pemeriksaan profil lipid dan edukasi kesehatan. Sebanyak 38 lansia dengan rerata usia 77,29±7,49 tahun mengikuti kegiatan. Hasil pemeriksaan menunjukkan rerata kolesterol total 195,49±58,47 mg/dL, trigliserida 149,24±119,50 mg/dL, HDL 61,28±15,52 mg/dL, LDL 104,36±42,48 mg/dL, dan rasio kolesterol total/HDL sebesar 3,18±0,52. Perempuan memiliki rerata kadar lipid yang lebih tinggi dibandingkan laki-laki pada seluruh parameter yang diperiksa. Kegiatan ini menunjukkan bahwa skrining profil lipid berbasis komunitas dapat membantu mengidentifikasi faktor risiko kardiovaskular pada lansia sekaligus meningkatkan kesadaran mengenai pentingnya pola makan sehat, aktivitas fisik, dan pemantauan kesehatan secara berkala. Program serupa berpotensi mendukung upaya promotif dan preventif dalam menjaga kesehatan kardiometabolik lansia
Referensi
Ambikairajah, A., Walsh, E., & Cherbuin, N. (2019). Lipid profile differences during menopause: a review with meta-analysis. Menopause, 26(11), 1327–1333. https://doi.org/10.1097/GME.0000000000001403
Bai, M., Sun, X., Tan, X., & Gao, Y. (2024). Editorial: Metabolic diseases and healthy aging: prevention and public health policy based on risk factors. Frontiers in Public Health, 12. https://doi.org/10.3389/fpubh.2024.1502564
Delbari, A., Naderyan Feli, S., Amirabadizadeh, A. R., Niroomand, M., & Bidkhori, M. (2024). Prevalence and associated factors of dyslipidemia in elderly people: Results from the Ardakan Cohort Study on Ageing, Iran. PLOS ONE, 19(10), e0306388. https://doi.org/10.1371/journal.pone.0306388
Hamooya, B. M., Siame, L., Muchaili, L., Masenga, S. K., & Kirabo, A. (2025). Metabolic syndrome: epidemiology, mechanisms, and current therapeutic approaches. Frontiers in Nutrition, 12. https://doi.org/10.3389/fnut.2025.1661603
Herningtyas, E. H., & Ng, T. S. (2019). Prevalence and distribution of metabolic syndrome and its components among provinces and ethnic groups in Indonesia. BMC Public Health, 19(1), 377. https://doi.org/10.1186/s12889-019-6711-7
Inaraja, V., Thuissard, I., Andreu-Vazquez, C., & Jodar, E. (2020). Lipid profile changes during the menopausal transition. Menopause, 27(7), 780–787. https://doi.org/10.1097/GME.0000000000001532
Jiang, H., Zhou, Y., Nabavi, S. M., Sahebkar, A., Little, P. J., Xu, S., Weng, J., & Ge, J. (2022). Mechanisms of Oxidized LDL-Mediated Endothelial Dysfunction and Its Consequences for the Development of Atherosclerosis. Frontiers in Cardiovascular Medicine, 9. https://doi.org/10.3389/fcvm.2022.925923
Jung, H. N., Kim, M., Kim, H. S., Lee, W. J., Min, S. H., Kim, Y., & Jung, C. H. (2022). Age‐Related Associations of Low‐Density Lipoprotein Cholesterol and Atherosclerotic Cardiovascular Disease: A Nationwide Population‐Based Cohort Study. Journal of the American Heart Association, 11(9). https://doi.org/10.1161/JAHA.121.024637
Kuang, Y., Li, X., Chen, X., Sun, H., Tomlinson, B., Chan, P., Zheng, L., Pi, J., Peng, S., Wu, H., Ding, X., Qian, D., Shen, Y., Yu, Z., Fan, L., Chen, M., Fan, H., Liu, Z., & Zhang, Y. (2016). Higher prevalence of elevated LDL-C than non-HDL-C and low statin treatment rate in elderly community-dwelling Chinese with high cardiovascular risk. Scientific Reports, 6(1), 34268. https://doi.org/10.1038/srep34268
Lim, G. B. (2021). Lipid lowering remains effective in older patients. Nature Reviews Cardiology, 18(2), 72–72. https://doi.org/10.1038/s41569-020-00482-4
Mc Auley, M. T. (2018). The Interplay Between Cholesterol Metabolism and Intrinsic Ageing (pp. 99–118). https://doi.org/10.1007/978-981-13-2835-0_4
Mizuno, Y., Jacob, R. F., & Mason, R. P. (2011). Inflammation and the Development of Atherosclerosis. Journal of Atherosclerosis and Thrombosis, 18(5), 351–358. https://doi.org/10.5551/jat.7591
Moreno, S., Ayers, C., Nguyen, N., Rohatgi, A., & Lau, E. S. (2024). Lipid changes across menopause status point to increased cardiovascular risk. European Heart Journal, 45(Supplement_1). https://doi.org/10.1093/eurheartj/ehae666.2839
Nanna, M. G., Navar, A. M., Wojdyla, D., & Peterson, E. D. (2019). The Association Between Low‐Density Lipoprotein Cholesterol and Incident Atherosclerotic Cardiovascular Disease in Older Adults: Results From the National Institutes of Health Pooled Cohorts. Journal of the American Geriatrics Society, 67(12), 2560–2567. https://doi.org/10.1111/jgs.16123
Napoli, C., Crudele, V., Soricelli, A., Al-Omran, M., Vitale, N., Infante, T., & Mancini, F. P. (2012). Primary Prevention of Atherosclerosis. Circulation, 125(19), 2363–2373. https://doi.org/10.1161/CIRCULATIONAHA.111.085787
Opoku, S., Gan, Y., Yobo, E. A., Tenkorang-Twum, D., Yue, W., Wang, Z., & Lu, Z. (2021). Awareness, treatment, control, and determinants of dyslipidemia among adults in China. Scientific Reports, 11(1), 10056. https://doi.org/10.1038/s41598-021-89401-2
Rustika, R., Driyah, S., Oemiati, R., & Hartati, N. S. (2019). Prediktor Sindrom Metabolik : Studi Kohor Prospektif Selama Enam Tahun di Bogor, Indonesia. Media Penelitian Dan Pengembangan Kesehatan, 29(3), 215–224. https://doi.org/10.22435/mpk.v29i3.654
Song, R., Hu, M., Qin, X., Qiu, L., Wang, P., Zhang, X., Liu, R., & Wang, X. (2023). The Roles of Lipid Metabolism in the Pathogenesis of Chronic Diseases in the Elderly. Nutrients, 15(15), 3433. https://doi.org/10.3390/nu15153433
Zammit, N., Belgacem, W. Ben, Ghammam, R., Fredj, S. Ben, Krifa, R., Ouertani, M., Maatouk, A., Maatoug, J., & Ghannem, H. (2022). Screening and health education practices related to cardiovascular risk factors among adults: results of a households survey in Sousse, Tunisia. Scientific Reports, 12(1), 18781. https://doi.org/10.1038/s41598-022-23600-3
Zhang, K., Ma, Y., Luo, Y., Song, Y., Xiong, G., Ma, Y., Sun, X., & Kan, C. (2023). Metabolic diseases and healthy aging: identifying environmental and behavioral risk factors and promoting public health. Frontiers in Public Health, 11. https://doi.org/10.3389/fpubh.2023.1253506
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Hak Cipta (c) 2026 Clement Drew, Alexander Halim Santoso
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