STRATEGI PROMOTIF-PREVENTIF MELALUI SKRINING INDEKS MASSA TUBUH (IMT) DAN KOMPOSISI TUBUH DALAM MENJAGA KESEHATAN MASYARAKAT

Authors

  • Alexander Halim Santoso Universitas Tarumanagara Jakarta
  • Bryan Anna Wijaya Universitas Tarumanagara, Jakarta, Indonesia
  • Valentino Gilbert Lumintang Universitas Tarumanagara, Jakarta, Indonesia
  • Paulus Gegana Thery Dewanto Universitas Tarumanagara, Jakarta, Indonesia

DOI:

https://doi.org/10.59407/jpki2.v3i6.3260

Abstract

Pengabdian ini bertujuan untuk menerapkan strategi promotif–preventif melalui skrining indeks massa tubuh (IMT) dan komposisi tubuh sebagai upaya menjaga dan meningkatkan kesehatan masyarakat, khususnya pada populasi lanjut usia. Metode pengabdian yang digunakan adalah pendekatan skrining berbasis komunitas dengan model Plan–Do–Check–Action (PDCA) yang dilaksanakan melalui tahapan perencanaan, pelaksanaan pemeriksaan IMT dan analisis komposisi tubuh menggunakan bioelectrical impedance analysis (BIA), evaluasi hasil berdasarkan kriteria WHO Asia-Pasifik, serta tindak lanjut berupa edukasi dan konseling kesehatan. Hasil kegiatan menunjukkan bahwa dari 99 partisipan, lebih dari separuh berada pada kategori overweight hingga obesitas, dengan rerata IMT sebesar 24,23 kg/m², disertai tingginya persentase lemak tubuh dan kecenderungan penurunan massa otot rangka, terutama pada kelompok usia lanjut dan perempuan, yang mengindikasikan risiko sarkopenia–obesitas dan gangguan kardiometabolik. Simpulan, bahwa skrining IMT dan komposisi tubuh berbasis komunitas merupakan strategi promotif–preventif yang efektif, praktis, dan aplikatif untuk deteksi dini obesitas, peningkatan kesadaran kesehatan, serta sebagai dasar perencanaan intervensi gaya hidup sehat guna mendukung pencegahan penyakit tidak menular dan peningkatan kualitas hidup masyarakat.

 

References

Ahmed, S. K., & Mohammed, R. A. (2025). Obesity: Prevalence, causes, consequences, management, preventive strategies and future research directions. Metabolism Open, 27, 100375. https://doi.org/10.1016/j.metop.2025.100375

Arfini, L., & Wahyuningsih, U. (2022). Edukasi mengenai aktivitas fisik untuk kendalikan obesitas pada pra-lansia dan lansia dengan media booklet. Jurnal Bakti Masyarakat Indonesia, 5(3).

Bjune, J.-I., Strømland, P. P., Jersin, R. Å., Mellgren, G., & Dankel, S. N. (2022). Metabolic and Epigenetic Regulation by Estrogen in Adipocytes. Frontiers in Endocrinology, 13. https://doi.org/10.3389/fendo.2022.828780

Briand, M., Raffin, J., Gonzalez-Bautista, E., Ritz, P., Abellan Van Kan, G., Pillard, F., Faruch-Bilfeld, M., Guyonnet, S., Dray, C., Vellas, B., de Souto Barreto, P., & Rolland, Y. (2024). Body composition and aging: cross-sectional results from the INSPIRE study in people 20 to 93 years old. GeroScience, 47(1), 863–875. https://doi.org/10.1007/s11357-024-01245-6

Bulik, C. M., & Hardaway, J. A. (2023). Turning the tide on obesity? Science, 381(6657), 463–463. https://doi.org/10.1126/science.adj9953

da Costa Teixeira, L. A., Soares, L. A., da Fonseca, S. F., Gonçalves, G. T., dos Santos, J. M., Viegas, Â. A., Parentoni, A. N., Figueiredo, P. H. S., Mendonça, V. A., & Lacerda, A. C. R. (2024). Analysis of body composition, functionality and muscle-specific strength of older women with obesity, sarkopenia and sarcopenic obesity: a cross-sectional study. Scientific Reports, 14(1), 24802. https://doi.org/10.1038/s41598-024-76417-7

Grima-Terrén, M., Campanario, S., Ramírez-Pardo, I., Cisneros, A., Hong, X., Perdiguero, E., Serrano, A. L., Isern, J., & Muñoz-Cánoves, P. (2024). Muscle aging and sarkopenia: The pathology, etiology, and most promising therapeutic targets. Molecular Aspects of Medicine, 100, 101319. https://doi.org/10.1016/j.mam.2024.101319

Hackam, D. G., & Hegele, R. A. (2019). Cholesterol Lowering and Prevention of Stroke. Stroke, 50(2), 537–541. https://doi.org/10.1161/STROKEAHA.118.023167

Hall, K. D. (2018). Did the Food Environment Cause the Obesity Epidemic? Obesity, 26(1), 11–13. https://doi.org/10.1002/oby.22073

Ishida, Y., Yoshida, D., Honda, T., Hirakawa, Y., Shibata, M., Sakata, S., Furuta, Y., Oishi, E., Hata, J., Kitazono, T., & Ninomiya, T. (2020). Influence of the Accumulation of Unhealthy Eating Habits on Obesity in a General Japanese Population: The Hisayama Study. Nutrients, 12(10), 3160. https://doi.org/10.3390/nu12103160

Koceva, A., Herman, R., Janez, A., Rakusa, M., & Jensterle, M. (2024). Sex- and Gender-Related Differences in Obesity: From Pathophysiological Mechanisms to Clinical Implications. International Journal of Molecular Sciences, 25(13), 7342. https://doi.org/10.3390/ijms25137342

Kuryłowicz, A. (2023). Estrogens in Adipose Tissue Physiology and Obesity-Related Dysfunction. Biomedicines, 11(3), 690. https://doi.org/10.3390/biomedicines11030690

Li, C., Yu, K., Shyh‐Chang, N., Jiang, Z., Liu, T., Ma, S., Luo, L., Guang, L., Liang, K., Ma, W., Miao, H., Cao, W., Liu, R., Jiang, L., Yu, S., Li, C., Liu, H., Xu, L., Liu, R., … Liu, G. (2022). Pathogenesis of sarkopenia and the relationship with fat mass: descriptive review. Journal of Cachexia, Sarkopenia and Muscle, 13(2), 781–794. https://doi.org/10.1002/jcsm.12901

Liu, C., Wong, P. Y., Chung, Y. L., Chow, S. K., Cheung, W. H., Law, S. W., Chan, J. C. N., & Wong, R. M. Y. (2023). Deciphering the “obesity paradox” in the elderly: A systematic review and meta‐analysis of sarcopenic obesity. Obesity Reviews, 24(2). https://doi.org/10.1111/obr.13534

Liu, Y., Jin, X., Fu, K., Li, J., Xue, W., Tian, L., & Teng, W. (2023). Non-traditional lipid profiles and the risk of stroke: A systematic review and meta-analysis. Nutrition, Metabolism and Cardiovascular Diseases, 33(4), 698–714. https://doi.org/10.1016/j.numecd.2023.01.003

Nishikawa, H., Fukunishi, S., Asai, A., Yokohama, K., Nishiguchi, S., & Higuchi, K. (2021). Pathophysiology and mechanisms of primary sarkopenia (Review). International Journal of Molecular Medicine, 48(2), 156. https://doi.org/10.3892/ijmm.2021.4989

Rehman, A., Lathief, S., Charoenngam, N., & Pal, L. (2024). Aging and Adiposity—Focus on Biological Females at Midlife and Beyond. International Journal of Molecular Sciences, 25(5), 2972. https://doi.org/10.3390/ijms25052972

Sacco, R. L., Benson, R. T., Kargman, D. E., Boden-Albala, B., Tuck, C., Lin, I.-F., Cheng, J. F., Paik, M. C., Shea, S., & Berglund, L. (2001). High-Density Lipoprotein Cholesterol and Ischemic Stroke in the Elderly. JAMA, 285(21), 2729. https://doi.org/10.1001/jama.285.21.2729

Shim, J.-S. (2025). Ultra-Processed Food Consumption and Obesity: A Narrative Review of Their Association and Potential Mechanisms. Journal of Obesity & Metabolic Syndrome, 34(1), 27–40. https://doi.org/10.7570/jomes24045

Sulak, S. A., & Koklu, N. (2024). Analysis of Depression, Anxiety, Stress Scale (DASS‐42) With Methods of Data Mining. European Journal of Education, 59(4). https://doi.org/10.1111/ejed.12778

Tee, E. S., & Voon, S. H. (2024). Combating obesity in Southeast Asia countries: current status and the way forward. Global Health Journal, 8(3), 147–151. https://doi.org/10.1016/j.glohj.2024.08.006

Watanabe, J., Kakehi, E., Kotani, K., Kayaba, K., Nakamura, Y., & Ishikawa, S. (2020). Isolated low levels of high‐density lipoprotein cholesterol and stroke incidence: JMS Cohort Study. Journal of Clinical Laboratory Analysis, 34(3). https://doi.org/10.1002/jcla.23087

Yang, Q., & Chan, P. (2022). Skeletal Muscle Metabolic Alternation Develops Sarkopenia. Aging and Disease, 13(3), 801. https://doi.org/10.14336/AD.2021.1107

Zhao, Y., & Araki, T. (2024). Diet quality and its associated factors among adults with overweight and obesity: findings from the 2015–2018 National Health and Nutrition Examination Survey. British Journal of Nutrition, 131(1), 134–142. https://doi.org/10.1017/S0007114523001587

Downloads

Published

2025-12-23