Assessment of Cardiovascular Disease Risk Based on Lipid Profile in Productive-Age Women

Authors

  • Ahmad Yani The University of Sheffield, United Kingdom
  • Venny Patricia The Polytechnic of Health of Banten, Indonesia
  • Selfa Rosi Meilana Siloam Hospitals Lippo Village Tangerang, Indonesia

DOI:

https://doi.org/10.61843/jondpac.v2i2.843

Keywords:

Dyslipidemia, Lipid profile, Productive-age women, Castelli index, Atherogenic index of plasma, Dislipidemia, Profil lipid, Wanita usia produktif, Indeks Castelli, Indeks aterogenik plasma

Abstract

Dyslipidemia is one of the increasing health problems in society and its prevalence continues to increase, especially due to changes in people's lifestyles. Dyslipidemia is a condition of lipid abnormalities in the blood, which is characterized by an increase in total cholesterol levels, a decrease in high-density lipoprotein (HDL) levels, an increase in low-density lipoprotein (LDL) levels, and an increase in triglyceride levels. Increased lipid profiles in Indonesia are more common in women. This incident also poses a risk of cardiovascular disease. This study aimed to describe the lipid profile in productive-age female patients and then assess the level of risk of cardiovascular disease that may occur. The research design used was a descriptive study with a cross-sectional approach. The sample in this study were all outpatients of productive-age women who underwent blood chemistry tests at Siloam Hospitals Lippo Village in 2022, which was 45 people. The results showed that abnormal lipid profiles were more common in productive women in the 25-34 year age group. Assessment of the risk level of cardiovascular disease in productive age women using the atherogenic index of plasma showed that of all respondents, there were 2 people (4.4%) with low risk, 7 people (15.6%) with moderate risk, and 36 people (80%) with high risk of experiencing cardiovascular disease.

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References

Abashova, E. I., Yarmolinskaya, M. I., Bulgakova, O. L., & Misharina, E. V. (2021). Lipid profile in women of reproductive age with various polycystic ovary syndrome phenotypes. 69(6), 7–16. https://doi.org/10.17816/JOWD6967-16

Aggarwal, A., Srivastava, S., & Velmurugan, M. (2016). Newer perspectives of coronary artery disease in young. World Journal of Cardiology, 8(12):728-734.

Badan Kebijakan Pembangunan Kesehatan, Kementerian Kesehatan RI. (2024). Hasil Survei Kesehatan Indonesia Tahun 2023. Kemenkes RI.

Bartosh-Zelenaya, S. Yu., Bartosh-Zeleniy, A., & Naiden, T. (2023). Lipid profile features in women of reproductive age with metabolic syndrome. Atherosclerosis. https://doi.org/10.1016/j.atherosclerosis.2023.06.428.

Castelli WP, Abbot RD, McNamara PM. (1983). Summary estimates of cholesterol used to predict coronary heart disease. Circulation, 67(4):730-34.

Cifkova, R., & Krajčoviechová, A. (2015). Dyslipidemia and cardiovascular disease in women. Current Cardiology Reports, 17(7), 52. https://doi.org/10.1007/S11886-015-0609-5

Dikaiou, P., Björck, L., Adiels, M., Lundberg, C. E., Mandalenakis, Z., Manhem, K., & Rosengren, A. (2021). Obesity, overweight and risk for cardiovascular disease and mortality in young women. European journal of preventive cardiology, 28(12), 1351-1359.

Dobiášová M. AIP—atherogenic index of plasma as a significant predictor of cardiovascular risk: from research to practice. Vnitrni Lekarstvi. January 2006; 52(1):64-71. PMID: 16526201.

Dobiás̆ová, M., & Frohlich, J. (2001). The plasma parameter log (TG/HDL-C) as an atherogenic index: correlation with lipoprotein particle size and esterification rate inapob-lipoprotein-depleted plasma (FERHDL). Clinical Biochemistry, 34(7), 583-588.

Millan J, Pintó X, Muñoz M, Zúñiga M, Rubiés-Prat J, Pallardo LF, et al. (2009). Lipoprotein ratio: Physiological significance and clinical usefulness in cardiovascular prevention. Vascular Health and Risk Management, 757-765.

Moran, L. J., Mundra, P. A., Teede, H. J., & Meikle, P. J. (2017). The association of the lipidomic profile with features of polycystic ovary syndrome. Journal of Molecular Endocrinology, 59(1), 93–104. https://doi.org/10.1530/JME-17-0023.

PERKI. (2013). Pedoman Tata laksana Penyakit Dislipidemia (Erwinanto (ed.); 1st ed.). Centra Communications.

Rassoul, F., Opitz, F., Purschwitz, K., & Rotzsch, W. (1993). Age-related changes in lipid metabolism parameters: screening studies on a population basis. Zeitschrift Für Gerontologie, 26(4), 260–264. https://europepmc.org/article/MED/8212796

Roslaeni, R., Sundari, R., & Baswedan, M. H. (2019). Gambaran risiko penyakit jantung koroner berdasarkan rasio profil lipid pada usia dewasa muda. Medika Kartika: Jurnal Kedokteran dan Kesehatan, 2(2), 110-122.

Vogel, B., Acevedo, M., Appelman, Y., Merz, C. N. B., Chieffo, A., Figtree, G. A., ... & Mehran, R. (2021). The Lancet women and cardiovascular disease Commission: reducing the global burden by 2030. The Lancet, 397(10292), 2385-2438.

Yoeantafara, A. & Martini, S. (2017). Pengaruh pola makan terhadap kadar kolesterol total. Jurnal MKMI, 13 (4). pp. 304-309.

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Published

31-10-2024

How to Cite

Yani, A., Patricia, V., & Meilana, S. R. (2024). Assessment of Cardiovascular Disease Risk Based on Lipid Profile in Productive-Age Women. Journal of Noncommunicable Diseases Prevention and Control, 2(2), 70–76. https://doi.org/10.61843/jondpac.v2i2.843

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