Abstract
Backgroundlipid disorder is a modifiable risk factor for diseases related to plaque formation in arteries such as heart attack, stroke and peripheral vascular diseases. Identifying related factors and diagnosis and treatment in time reduces the incidence of non - communicable diseases. The aim of this study was to determine factors associated with lipids based on a national survey data.MethodsData of 16757 individuals aged 25–64 years obtained from the Iranian national cross-sectional study of the risk factors of non-Communicable disease (STEPs) performed in 2016, through multi-stage random sampling, were analyzed. Because of clustered, hierarchical and skewed form of the data, factors related to total Cholesterol (TC), Triglycerides (TG), LDL-C, HDL-C, TG/HDL-C, TC/HDL-C, LDL-C/HDL-C were determined applying multilevel quantile mixed model. Parameters of the model were estimated on the basis of random effect of the province as well as urban or rural area for 10th, 25th, 50th, 75th and 90th quantiles. Statistical analyses were performed by R software version 4.0.2.ResultsSignificant relationship was found between age, BMI, waist circumference, diabetes, hypertension, smoking, physical activity, education level, and marital status with TC, LDL-C, HDL-C, LDL-C and LDL-C/HDL-C. With increasing BMI and WC, subjects had higher levels of serum lipids, especially in higher quantiles of lipid levels. Lipid levels were significantly increased among smokers and those with diabetes or hypertension. The random effects were also significant showing that there is a correlation between the level of lipids in provincial habitants as well as urban and rural areas.ConclusionThis study showed that the effect of each factor varies depending on the centiles of the lipids. Significant relationship was found between sociodemographic, Behaviors and anthropometric indices with lipid parameters.