Document Type : Research Paper
Authors
1
Department of Anatomical Sciences, School of Medicine, Fasa University of Medical Sciences, Fasa, Iran
2
Department of Tissue Engineering, School of Medicine, Fasa University of Medical Sciences, Fasa, Iran
3
Student Research Committee, Fasa University of Medical Sciences, Fasa, Iran
4
Vascular and endovascular surgery research center, Mashhad University of Medical Sciences, Mashhad, Iran
5
Metabolic syndrome research center, Mashhad University of Medical Sciences, Mashhad, Iran
6
Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran
10.22038/mjms.2025.80075.4621
Abstract
Introduction: Obesity and dyslipidemia are critical risk factors for cardiovascular diseases (CVD). This study aims to assess the prevalence of dyslipidemia across various obesity categories in the adult population of the Fasa cohort.
Methodology: Utilizing a descriptive-analytical, cross-sectional design, the study sampled 10,118 participants aged 35 to 70, categorized into eight groups based on BMI and metabolic syndrome status: normal BMI, BMI 25-29.9, BMI 30-34.9, and BMI ≥35, each further divided by the presence or absence of metabolic syndrome. Dyslipidemia prevalence was evaluated across these groups using chi-square tests and one-way ANOVA, while logistic regression analyzed the impact of each variable on metabolic syndrome. Statistical significance was set at a 0.05 threshold, with SPSS software facilitating data analysis.
Results: The findings revealed dyslipidemia prevalence rates of 87.8% for BMI 25-29.9, 89.1% for BMI 30-34.9, and 91.5% for BMI ≥35. Individuals with metabolic syndrome exhibited higher dyslipidemia prevalence across all BMI groups compared to those without metabolic syndrome. Additionally, the odds of having dyslipidemia in those with metabolic syndrome were 45.1% higher in the BMI 25-29.9 group and 67.4% higher in the BMI 30-34.9 group than in healthy individuals.
Discussion and conclusion: The high prevalence of dyslipidemia in this population underscores the need for targeted policy interventions to mitigate the associated health risks and financial burdens.
Keywords