KORELASI ANTARA PROFIL LIPID DAN KOMPOSISI TUBUH PADA DEWASA DI JAKARTA BARAT DAN TIMUR DENGAN KONTROL VARIABEL USIA
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Abstract
Profil lipid dan komposisi tubuh merupakan indikator penting status kesehatan, yang keduanya saling berinteraksi dan berkontribusi terhadap risiko penyakit kardiovaskular. Hubungan antara keduanya pada populasi dewasa di Jakarta masih jarang diteliti. Tujuan penelitian ini untuk mengetahui korelasi antara profil lipid dan komposisi tubuh pada orang dewasa di Jakarta Barat dan Timur, dengan mengendalikan variabel usia. Metode penelitian ini merupakan studi potong lintang pada 218 responden dewasa (≥20 tahun) yang direkrut di tiga lokasi di DKI Jakarta. Komposisi tubuh diukur menggunakan bioelectrical impedance analysis (BIA) dan profil lipid diperoleh dari analisis darah vena. Analisis korelasi Pearson dan korelasi parsial digunakan untuk mengevaluasi hubungan antara parameter lipid (kolesterol total, HDL, LDL, trigliserida) dengan komponen komposisi tubuh (lemak viseral, subkutan, IMT, otot rangka), dengan kontrol terhadap usia. Kadar trigliserida menunjukkan korelasi positif signifikan dengan lemak viseral (r=0,284; p<0,001) dan IMT (r=0,265; p<0,001). Sebaliknya, kadar HDL berkorelasi negatif signifikan dengan lemak viseral (r=−0,382; p<0,001) dan IMT (r=−0,293; p<0,001). Kolesterol total dan HDL juga berkorelasi negatif dengan massa otot, khususnya otot kaki (p<0,05). Korelasi ini tetap signifikan setelah dikendalikan oleh usia. Terdapat korelasi signifikan antara profil lipid dan komposisi tubuh pada populasi dewasa di Jakarta, yang relatif independen dari usia. Temuan ini mendukung pentingnya pengelolaan komposisi tubuh untuk memperbaiki profil lipid dan menurunkan risiko kardiovaskular. Studi longitudinal lebih lanjut disarankan untuk mengklarifikasi hubungan kausal.
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References
Al Rahmad, A. H. (2021). Korelasi imt dengan peningkatan profil lipid darah pada pasien jantung koroner. Jurnal Vokasi Kesehatan, 6(2), 94. https://doi.org/10.30602/jvk.v6i2.563
Ali, U., Riaz, B., Nadeem, M. S., Alam, A., & Khan, M. A. (2022). Association of Body Composition With Serum Cholesterol and Body Mass Index in Healthy Pakistani Adults. Pakistan Armed Forces Medical Journal, 72(1), 275–278. https://doi.org/10.51253/pafmj.v72i1.5990
Ayuningtyas, D., Kusuma, D., Amir, V., Tjandrarini, D. H., & Andarwati, P. (2022). Disparities in Obesity Rates among Adults: Analysis of 514 Districts in Indonesia. Nutrients, 14(16), 3332. https://doi.org/10.3390/nu14163332
Beqa Ahmeti, G., Idrizovic, K., Elezi, A., Zenic, N., & Ostojic, L. (2020). Endurance Training vs. Circuit Resistance Training: Effects on Lipid Profile and Anthropometric/Body Composition Status in Healthy Young Adult Women. International Journal of Environmental Research and Public Health, 17(4), 1222. https://doi.org/10.3390/ijerph17041222
Brown, J. D., Buscemi, J., Milsom, V., Malcolm, R., & O’Neil, P. M. (2016). Effects on cardiovascular risk factors of weight losses limited to 5–10 %. Translational Behavioral Medicine, 6(3), 339–346. https://doi.org/10.1007/s13142-015-0353-9
Cho, A.-R., Lee, J.-H., & Kwon, Y.-J. (2021). Fat-to-Muscle Ratios and the Non-Achievement of LDL Cholesterol Targets: Analysis of the Korean Genome and Epidemiology Study. Journal of Cardiovascular Development and Disease, 8(8), 96. https://doi.org/10.3390/jcdd8080096
Christiani, Y., Irawan, R., & Astiarani, Y. (2021). Demographic and Household Characteristics Related to Childhood Obesity in Public Elementary Schools in Penjaringan. Jurnal Ilmu Kesehatan Masyarakat, 12(1), 12–20. https://doi.org/10.26553/jikm.2021.12.1.12-20
Duncan, M. S., Vasan, R. S., & Xanthakis, V. (2019). Trajectories of Blood Lipid Concentrations Over the Adult Life Course and Risk of Cardiovascular Disease and All‐Cause Mortality: Observations From the Framingham Study Over 35 Years. Journal of the American Heart Association, 8(11). https://doi.org/10.1161/JAHA.118.011433
Duran, I., Martakis, K., Schafmeyer, L., Jackels, M., Rehberg, M., & Schoenau, E. (2019). Inverse Association of High-Density Lipoprotein Cholesterol Concentration with Muscle Mass in Children. Childhood Obesity, 15, 476–484. https://doi.org/https://doi.org/10.1089/chi.2019.0122
Eissa, M. A., Mihalopoulos, N. L., Holubkov, R., Dai, S., & Labarthe, D. R. (2016). Changes in Fasting Lipids during Puberty. The Journal of Pediatrics, 170, 199–205. https://doi.org/10.1016/j.jpeds.2015.11.018
Ellulu, M. S., Patimah, I., Khaza’ai, H., Rahmat, A., & Abed, Y. (2017). Obesity and inflammation: the linking mechanism and the complications. Archives of Medical Science : AMS, 13(4), 851–863. https://doi.org/10.5114/aoms.2016.58928
Ergenc, Z., Ergenc, H., Karacaer, C., Kaya, G., Öztürk, A., Usanmaz, M., & Alkılıç, E. (2023). Comparative analysis of the relationship between bioelectrical impedance analysis results and laboratory data. Annals of Clinical and Analytical Medicine, 14(08). https://doi.org/10.4328/ACAM.21732
Feng, L., Nian, S., Tong, Z., Zhu, Y., Li, Y., Zhang, C., … Yan, Z. (2020). Age-related trends in lipid levels: a large-scale cross-sectional study of the general Chinese population. BMJ Open, 10(3), e034226. https://doi.org/10.1136/bmjopen-2019-034226
Gong, H., Liu, Y., Lyu, X., Dong, L., & Zhang, X. (2022). Lipoprotein subfractions in patients with sarcopenia and their relevance to skeletal muscle mass and function. Experimental Gerontology, 159, 111668. https://doi.org/10.1016/j.exger.2021.111668
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
Hong Son, T., Xuan Ninh, N., Lien Huong, L., Minh Khanh, L., & Bich Nga, P. (2023). Body Compositions and Its Association with Dyslipidemia in Overweight/Obese Adults Aged 40-60 in Hanoi. Tạp Chí Y Học Việt Nam, 525(1), 40–46. https://doi.org/10.51298/vmj.v525i1.5046
Isanejad, M., Steffen, L. M., Terry, J. G., Shikany, J. M., Zhou, X., So‐YunYi, … Steffen, B. T. (2024). Diet quality is associated with adipose tissue and muscle mass: the Coronary Artery Risk Development in Young Adults (CARDIA) study. Journal of Cachexia, Sarcopenia and Muscle, 15(1), 425–433. https://doi.org/10.1002/jcsm.13399
Jungert, A., Eichner, G., & Neuhäuser-Berthold, M. (2020). Trajectories of Body Composition during Advanced Aging in Consideration of Diet and Physical Activity: A 20-Year Longitudinal Study. Nutrients, 12(12), 3626. https://doi.org/10.3390/nu12123626
Kim, K.-B., Kim, K., Kim, C., Kang, S.-J., Kim, H. J., Yoon, S., & Shin, Y.-A. (2019). Effects of Exercise on the Body Composition and Lipid Profile of Individuals with Obesity: A Systematic Review and Meta-Analysis. Journal of Obesity & Metabolic Syndrome, 28(4), 278–294. https://doi.org/10.7570/jomes.2019.28.4.278
Kurniawan, F., Manurung, M. D., Harbuwono, D. S., Yunir, E., Tsonaka, R., Pradnjaparamita, T., … Tahapary, D. L. (2022). Urbanization and Unfavorable Changes in Metabolic Profiles: A Prospective Cohort Study of Indonesian Young Adults. Nutrients, 14(16), 3326. https://doi.org/10.3390/nu14163326
Lamsal, D. K., Pant, R., & Sangroula, R. K. (2022). BODY MASS INDEX AND ITS ASSOCIATION WITH TRIGLYCERIDES AMONG THE PEOPLE ATTENDING CIVIL SERVICE HOSPITAL. Journal of Chitwan Medical College, 12(3), 49–52. https://doi.org/10.54530/jcmc.1158
Leyva-Vela, B., Martínez-Olcina, M., Asencio-Mas, N., Vicente-Martínez, M., Cuestas-Calero, B. J., Matłosz, P., & Martínez-Rodríguez, A. (2025). Integrated Multivariate Predictive Model of Body Composition and Lipid Profile for Cardiovascular Risk Assessment. Journal of Clinical Medicine, 14(3), 781. https://doi.org/10.3390/jcm14030781
Lonardo, M. S., Guida, B., Cacciapuoti, N., Chiurazzi, M., Pacella, D., & Cataldi, M. (2024). Evidence That Skeletal Muscles Modulate HDL-Cholesterol in Metabolic Healthy Young Adults. Nutrients, 16(8), 1110. https://doi.org/10.3390/nu16081110
Lubkowska, A., Dudzińska, W., Bryczkowska, I., & Dołęgowska, B. (2015). Body Composition, Lipid Profile, Adipokine Concentration, and Antioxidant Capacity Changes during Interventions to Treat Overweight with Exercise Programme and Whole-Body Cryostimulation. Oxidative Medicine and Cellular Longevity, 2015, 1–13. https://doi.org/10.1155/2015/803197
Nurbaya, S., & Azzahra, F. (2019). Correlation of Body Mass Index and Bioelectrical Impedance Analysis of Total Body Fat with Serum Lipid Profile. EJKI, 7(3), 205–210. https://doi.org/https://doi.org/10.23886/ejki.7.10817
Putri, H. P., & Ciptono, F. (2022). Korelasi indeks massa tubuh dengan kadar profil lipid. Tarumanagara Medical Journal, 4(1), 72–79. https://doi.org/10.24912/tmj.v4i2.17739
Putri, R. N., Nugraheni, S. A., & Pradigdo, S. F. (2022). Faktor-Faktor yang Berhubungan dengan Kejadian Obesitas Sentral pada Remaja Usia 15-18 Tahun di Provinsi DKI Jakarta (Analisis Riskesdas 2018). MEDIA KESEHATAN MASYARAKAT INDONESIA, 21(3), 169–177. https://doi.org/10.14710/mkmi.21.3.169-177
Schienkiewitz, A., Truthmann, J., Ernert, A., Wiegand, S., Schwab, K. O., & Scheidt-Nave, C. (2019). Age, maturation and serum lipid parameters: findings from the German Health Survey for Children and Adolescents. BMC Public Health, 19(1), 1627. https://doi.org/10.1186/s12889-019-7901-z
Siswati, T., Paramashanti, B. A., Rialihanto, M. P., & Waris, L. (2022). Epidemiological Transition in Indonesia and Its Prevention: A Narrative Review. Journal of Complementary and Alternative Medical Research, 50–60. https://doi.org/10.9734/jocamr/2022/v18i130345
Sukkriang, N., Chanprasertpinyo, W., Wattanapisit, A., Punsawad, C., Thamrongrat, N., & Sangpoom, S. (2021). Correlation of body visceral fat rating with serum lipid profile and fasting blood sugar in obese adults using a noninvasive machine. Heliyon, 7(2), e06264. https://doi.org/10.1016/j.heliyon.2021.e06264
Sun, J., Zhang, Z., Liu, Z., Li, J., & Kang, W. (2022). The Correlation of Total Percent Fat With Alterations in Cholesterol and Triglycerides in Adults. Frontiers in Nutrition, 9. https://doi.org/10.3389/fnut.2022.881729
Susanti, A. L., Pratiwi, S. T., Mardliyah, E., Ratwita, W., Mutiara, D., Septiadi, E., … Sa’adah, H. (2024). RASIO VISCERAL FAT TERHADAP BODY FAT PERCENTAGE DAN KORELASI LEMAH DENGAN KADAR HIGH DENSITY LIPOPROTEIN. Medika Kartika Jurnal Kedokteran Dan Kesehatan, (Volume 7 No 4), 387–397. https://doi.org/10.35990/mk.v7n4.p387-397
Tahapary, D. L. (2022). Revisiting metabolic syndrome: The importance of weight management. World Nutrition Journal, 6(S1), 25. https://doi.org/10.25220/WNJ.V06.S1.0017
Tan, X., Titova, O. E., Lindberg, E., Elmståhl, S., Lind, L., Schiöth, H. B., & Benedict, C. (2019). Association Between Self-Reported Sleep Duration and Body Composition in Middle-Aged and Older Adults. Journal of Clinical Sleep Medicine, 15(03), 431–435. https://doi.org/10.5664/jcsm.7668
Tuminah, S. (2020). Hubungan Indeks Massa Tubuh, Lingkar Perut, Tekanan Darah, Dan Profil Lipid Dengan Kejadian Penyakit Jantung Koroner: Analisis Data Studi Faktor Risiko Penyakit Tidak Menular Di Kota Bogor [The Relationship Of The Body Mass Index... In Bogor City]. Penelitian Gizi Dan Makanan (The Journal of Nutrition and Food Research), 43(1), 21–29.
Weeks, M., Delgado, A. D., Wood, J., Zhang, B., Pesce, S., Kunces, L., … Putrino, D. (2023). Relationships between body composition, anthropometrics, and standard lipid panels in a normative population. Frontiers in Cardiovascular Medicine, 10. https://doi.org/10.3389/fcvm.2023.1280179
Westbury, L. D., Syddall, H. E., Fuggle, N. R., Dennison, E. M., Cauley, J. A., Shiroma, E. J., … Cooper, C. (2020). Long-term rates of change in musculoskeletal aging and body composition: findings from the Health, Aging and Body Composition Study. Calcified Tissue International, 106(6), 616–624. https://doi.org/10.1007/s00223-020-00679-2
Zhang, P., Su, Q., Ye, X., Guan, P., Chen, C., Hang, Y., … Hu, W. (2020). Trends in LDL-C and Non-HDL-C Levels with Age. Aging and Disease, 11(5), 1046. https://doi.org/10.14336/AD.2019.1025