Comparison of the Effectiveness of ABSI and its Z-Score in Predicting the Prevalence of Dyslipidemia




Z-score of ABSI, Dyslipidemia, Lipoproteins, CHD, LBSIZ


Dyslipidemia is an abnormality of any lipoprotein fractions (TC, TG, LDL, and HDL). It is important to study the population to monitor risk factors for dyslipidemia and coronary heart disease (CHD). However, few population-based studies related to lipid levels were conducted in Pakistan. In this cross-sectional study, the prevalence of dyslipidemia in the local population (80 participants; 30 females and 50 males) was assessed. The studied population showed abnormalities in at least one lipid fraction including TC, LDL, TG, and HDL. According to abnormal lipid fractions, 89% of the participants were dyslipidemic with more prevalence in the rural population. The gender-wise comparison showed that males were more likely to have dyslipidemia than females due to their abnormal lipid profile. The most common form of dyslipidemia was low HDL (77%), followed by high TG (36%). Various traditionally introduced anthropometric and metabolic parameters were assessed to determine the severity of dyslipidemia, but they were not strong predictors of dyslipidemia due to their limitations. To overcome these limitations, newly introduced anthropometric parameters, namely LBSIZ and the Z-score of ABSI were applied. However, ABSI and its Z-score were also not strong predictors of dyslipidemia.


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How to Cite

Shoaib , M., & Khan, M. S. (2023). Comparison of the Effectiveness of ABSI and its Z-Score in Predicting the Prevalence of Dyslipidemia. TSF Journal of Biology , 1(1), 51–66.