PERAN PARAMETER ANTROPOMETRI DALAM MEMPREDIKSI LEMAK VISERAL PADA LAKI-LAKI DEWASA: STUDI MULTICENTER DI DKI JAKARTA
Main Article Content
Abstract
Pendahuluan: Lemak viseral merupakan tipe lemak yang secara metabolik aktif dan berperan penting dalam patogenesis penyakit metabolik dan kardiovaskular. Pengukuran langsung lemak viseral menggunakan pencitraan medis tidak praktis untuk skrining populasi luas, sehingga diperlukan parameter antropometri yang sederhana namun akurat. Metode: Penelitian ini merupakan studi potong lintang multicenter yang melibatkan 121 laki-laki dewasa di wilayah DKI Jakarta. Parameter antropometri yang dikaji mencakup lingkar perut, lingkar panggul, lingkar lengan atas, Waist-to-hip ratio (WHR), lemak subkutan (bisep, trisep, suprailiaka), berat dan tinggi badan. Estimasi lemak viseral dilakukan menggunakan alat bioimpedansi (Omron HBF-375), dengan nilai >10 sebagai indikator lemak viseral tinggi. Analisis kemampuan prediksi dilakukan menggunakan kurva ROC dan nilai Area Under the Curve (AUC). Hasil: Lingkar perut memiliki nilai AUC tertinggi (0,948; p < 0,001), diikuti oleh lingkar panggul (0,857, p < 0,001), WHR (0,846, p < 0,001), dan lingkar lengan atas (0,840, p < 0,001). Parameter seperti berat badan dan lemak subkutan otot trisep juga menunjukkan nilai prediktif yang bermakna. Sebaliknya, usia dan tinggi badan tidak menunjukkan nilai AUC yang signifikan. Kesimpulan: Lingkar perut terbukti menjadi parameter antropometri paling efektif dalam memprediksi lemak viseral tinggi pada laki-laki dewasa, dan dapat digunakan sebagai alat skrining praktis di pelayanan kesehatan primer. Penelitian lebih lanjut diperlukan untuk mengevaluasi kontribusi faktor gaya hidup dan status metabolik terhadap akumulasi lemak viseral serta validasi temuan ini pada populasi yang lebih beragam.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This work is licensed under a Jurnal Muara Ilmu Ekonomi dan Bisnis Creative Commons Attribution-ShareAlike 4.0 International License.References
Adolph, R. (2016). Hubungan Antara Rasio Lingkar Pinggang Panggul Dengan Diabetis Meilitus Tipr 2. 2, 1–23.
Alba, H. F., Mulyana, M., & Subarjah, H. (2019). Pengaruh Model Latihan Weight Training Dan Motivasi Latihanterhadap Body Fat Dan Body Mass Index (Bmi). Jurnal Ilmu Keolahragaan, 18(2), 112–119. https://doi.org/10.24114/jik.v18i2.15850
Arakaki, S., Maeshiro, T., Hokama, A., Hoshino, K., Maruwaka, S., Higashiarakawa, M., … Fujita, J. (2016). Factors associated with visceral fat accumulation in the general population in Okinawa, Japan. World Journal of Gastrointestinal Pharmacology and Therapeutics, 7(2), 261. https://doi.org/10.4292/wjgpt.v7.i2.261
Budiman, I. (2008). Validitas Pengukuran Lemak Tubuh Yang Menggunakan Skinfold Caliper Di 2, 3, 4, 7 Tempat Terhadap Cara Bod Pod. Maranatha Journal of Medicine and Health, 7(2), 1–12.
Carneiro Roriz, A. K., Santana Passos, L. C., Cunha De Oliveira, C., Eickemberg, M., De Almeida Moreira, P., & Barbosa Ramos, L. (2016). Anthropometric clinical indicators in the assessment of visceral obesity: An update. Nutricion Clinica y Dietetica Hospitalaria, 36(2), 168–179. https://doi.org/10.12873/362carneirororiz
Çorbacıoğlu, Ş. K., & Aksel, G. (2023). Receiver operating characteristic curve analysis in diagnostic accuracy studies: A guide to interpreting the area under the curve value. Turkish Journal of Emergency Medicine, 23(4), 195–198. https://doi.org/10.4103/tjem.tjem_182_23
Da Silva, N. F., Pinho, C. P. S., Diniz, A. S., De Arruda, I. K. G., Leão, A. P. D., & Rodrigues, I. G. (2022). The applicability of the Visceral Adiposity Index (VAI) for predicting visceral fat. Revista Brasileira de Cineantropometria e Desempenho Humano, 24. https://doi.org/10.1590/1980-0037.2022v24e83146
Destra, E., Anggraeni, N., Firmansyah, Y., & Santoso, A. H. (2023). Waist to hip ratio in Cardiovascular Disease Risk : A Review of the Literature. MAHESA : Malahayati Health Student Journal, 3(6), 1770–1781. https://doi.org/10.33024/mahesa.v3i6.10595
Dieny, F. F., Jauharany, F. F., Tsani, A. F. A., & Fitranti, D. Y. (2020). Peningkatan visceral adiposity index berhubungan dengan sindrom metabolik remaja obesitas. Jurnal Gizi Klinik Indonesia, 16(4), 143. https://doi.org/10.22146/ijcn.51465
Ferreira, F. G., Juvanhol, L. L., Da Silva, D. C. G., & Longo, G. Z. (2019). Visceral adiposity index is a better predictor of unhealthy metabolic phenotype than traditional adiposity measures: Results from a population-based study. Public Health Nutrition, 22(9), 1545–1554. https://doi.org/10.1017/S136898001800335X
Gadekar, T., Dudeja, P., Basu, I., Vashisht, S., & Mukherji, S. (2020a). Correlation of visceral body fat with waist–hip ratio, waist circumference and body mass index in healthy adults: A cross sectional study. Medical Journal Armed Forces India, 76(1), 41–46. https://doi.org/10.1016/j.mjafi.2017.12.001
Gadekar, T., Dudeja, P., Basu, I., Vashisht, S., & Mukherji, S. (2020b). Correlation of visceral body fat with waist–hip ratio, waist circumference and body mass index in healthy adults: A cross sectional study. Medical Journal Armed Forces India, 76(1), 41–46. https://doi.org/10.1016/j.mjafi.2017.12.001
Hartopo, A. B., Fachiroh, J., Puspitawati, I., & Dewi, F. S. T. (2021). Serum endothelin-1 level positively correlates with waist and hip circumferences in stable coronary artery disease patients. Reviews in Cardiovascular Medicine, 22(3), 919–924. https://doi.org/10.31083/J.RCM2203099
Jaeschke, L., Steinbrecher, A., & Pischon, T. (2015). Measurement of waist and hip circumference with a body surface scanner: Feasibility, validity, reliability, and correlations with markers of the metabolic syndrome. PLoS ONE, 10(3), 1–16. https://doi.org/10.1371/journal.pone.0119430
Keating, S. E., Barnett, A., Croci, I., Hannigan, A., Elvin-Walsh, L., Coombes, J. S., … Hickman, I. J. (2020). Agreement and Reliability of Clinician-in-Clinic Versus Patient-at-Home Clinical and Functional Assessments: Implications for Telehealth Services. Archives of Rehabilitation Research and Clinical Translation, 2(3), 100066. https://doi.org/10.1016/j.arrct.2020.100066
Li, C., Zeng, L., Li, M., Deng, K., Zhou, D., Liang, R., … Hu, Z. (2024). New sagittal abdominal diameter and transverse abdominal diameter based equations to estimate visceral fat area in type 2 diabetes patients. BMC Public Health, 24(1), 1–8. https://doi.org/10.1186/s12889-024-18659-8
Li, Y., He, Y., Yang, L., Liu, Q., Li, C., Wang, Y., … Huang, X. (2022). Body Roundness Index and Waist–Hip Ratio Result in Better Cardiovascular Disease Risk Stratification: Results From a Large Chinese Cross-Sectional Study. Frontiers in Nutrition, 9(March). https://doi.org/10.3389/fnut.2022.801582
Lubis, A. I., Putri, S. E., Safrida, S., Ayunda, H. M., & Iskandar, A. (2021). Relationship between Body Mass Index and Visceral Fat of Participants EXPO 2021 Universitas Teuku Umar. Journal of Nutrition Science, 2(2), 48. https://doi.org/10.35308/jns.v2i2.4377
Merrigan, J., Stute, N., Eckerle, J., Mackowski, N., Walters, J., O’Connor, M., … Hagen, J. (2022). Reliability and Validity of Contemporary Bioelectrical Impedance Analysis Devices for Body Composition Assessment. Journal of Exercise and Nutrition, 5(4), 1–11. https://doi.org/10.53520/jen2022.103133
Miller, E., Janssen, I., & Ross, R. (2023). Changes In Body Composition In Relation To The Metabolic Syndrome: A Compositional Data Analysis. Medicine & Science in Sports & Exercise, 55(9S), 640–640. https://doi.org/10.1249/01.mss.0000985776.55853.b9
Mocini, E., Cammarota, C., Frigerio, F., Muzzioli, L., Piciocchi, C., Lacalaprice, D., … Pinto, A. (2023). Digital Anthropometry: A Systematic Review on Precision, Reliability and Accuracy of Most Popular Existing Technologies. Nutrients, 15(2), 1–39. https://doi.org/10.3390/nu15020302
Moelyo, A. G., Sitaresmi, M. N., & Julia, M. (2022). Secular trends in Javanese adult height : the roles of environment and educational attainment. BMC Public Health, 1–9. https://doi.org/10.1186/s12889-022-13144-6
Nauli, A. M., & Matin, S. (2019). Why Do Men Accumulate Abdominal Visceral Fat? Frontiers in Physiology, 10(December), 1–10. https://doi.org/10.3389/fphys.2019.01486
Nuriannisa, F., & Faradiba, N. R. (2023). Body Image, Waist Hip Ratio, and Menstrual Cycle in Adolescent Girls at X High School Sidoarjo. Amerta Nutrition, 7(4), 534–539. https://doi.org/10.20473/amnt.v7i4.2023.534-539
Roever-Borges, L. S. (2015). Visceral Fat and Association with Metabolic Risk Factors. Epidemiology: Open Access, 05(01), 9–10. https://doi.org/10.4172/2161-1165.1000e118
Ross, R., Neeland, I. J., Yamashita, S., Shai, I., Seidell, J., Magni, P., … Després, J. P. (2020). Waist circumference as a vital sign in clinical practice: a Consensus Statement from the IAS and ICCR Working Group on Visceral Obesity. Nature Reviews Endocrinology, 16(3), 177–189. https://doi.org/10.1038/s41574-019-0310-7
Septyaningrum, N., Martini, S., Dieny, F. F., Jauharany, F. F., Tsani, A. F. A., & Fitranti, D. Y. (2014). Lingkar Perut mempunyai Hubungan Paling Kuat dengan Kadar Gula Darah. Jurnal Berkala Epidemiologi, 2(4), 143. https://doi.org/10.22146/ijcn.51465
Singh, Y. (2023). Consequences of obesity and Cardiovascular risk. International Journal of Social Sciences, 12(1), 25–32. https://doi.org/10.46852/2249-6637.01.2023.5
Sitticharoon, C., Maikaew, P., Keadkraichaiwat, I., & Chatree, S. (2024). The Influence of Subcutaneous and Visceral Adipocyte Geometries on Metabolic Parameters and Metabolic Regulating Hormones in Obese and Non-Obese Subjects. Physiology, 39(S1). https://doi.org/10.1152/physiol.2024.39.S1.543
Somantri, B. (2015). Hubungan Indeks Massa Tubuh (Imt) Dengan Tekanan Darah Pada Lansia Di Puskesmas Melong Asih Cimahi. Jurnal Pendidikan Keperawatan Indonesia, 1(1), 44. https://doi.org/10.17509/jpki.v1i1.1186
Torun, C., Ankaralı, H., Caştur, L., Uzunlulu, M., Erbakan, A. N., Akbaş, M. M., … Oğuz, A. (2023). Is Metabolic Score for Visceral Fat (METS-VF) a Better Index Than Other Adiposity Indices for the Prediction of Visceral Adiposity. Diabetes, Metabolic Syndrome and Obesity, 16(August), 2605–2615. https://doi.org/10.2147/DMSO.S421623
Widjaja, N. A., Arifani, R., & Irawan, R. (2023). Cut-off value of Waist-to-Hip Ratio as a predictor of metabolic syndrome in adolescents with obesity. Acta Biomedica, 94(3). https://doi.org/10.23750/abm.v94i3.13755
Yuliani, N. N. S., & Trinovita, E. (2020). Korelasi Usia Metabolik terhadap Indeks Massa Tubuh. Jurnal Surya Medika, 5(2), 35–41. https://doi.org/10.33084/jsm.v5i2.1289

