For a study, researchers sought to understand that numerous cardiovascular risk factors, such as dyslipidemia, and food insecurity (FIS), are intimately associated. Research on the relationship between FIS and dyslipidemia had utilized a variety of methodology and demographics, but in-depth data analysis had not been carried out. The literature was thoroughly examined. Peer-reviewed, cross-sectional studies addressing the relationship between dyslipidemia and FIS exist. The extracted data covered population characteristics, research sample sizes, factors looked at, and dyslipidemia laboratory tests. A random effect model was used to combine effect sizes across trials after they had been retrieved or estimated. Each meta-heterogeneity, analysis’s publication bias, and subgroup dependency were evaluated. According to the meta-analysis, adults with FIS did not have considerably higher probabilities of additionally having an aberrant lipid test. According to a covariate-unadjusted analysis of standardized mean differences, there were no observable variations in lipid measures between individuals with and without food security. Contrary to quantitative test results, patients on a restricted diet were likelier to self-report a prior diagnosis of dyslipidemia. Even if the current results did not indicate a link between FIS and dyslipidemia, more long-term study that focuses primarily on women, children, the elderly, and people with chronic diseases like diabetes was needed to examine this topic better.