Evaluation of the Relationship between Cholesterol Levels and the Prevalence of Diabetes According to Meta-Analysis

This meta-analysis aimed to evaluate the associations between cholesterol subtypes—including total cholesterol, non-HDL cholesterol, LDL cholesterol, and dietary cholesterol intake—and the risk of type 2 diabetes mellitus (T2D) as well as related cardiovascular outcomes , reffer our method to meta-analysis so Data were synthesized from six major cohort and observational studies published between 2014 and 2025, encompassing sample sizes ranging from thousands to over one million participants furthermore Analytical methods included random-effects meta-analytic models, hazard ratio estimations, Kaplan-Meier survival analyses, Cox proportional hazards models, subgroup and meta regression analyses, and systematic literature review approaches where was Key participant variables included age, body mass index (BMI), blood sugar levels, and biochemical lipid markers , our results were (Non-HDL cholesterol showed a significant positive association with increased T2D risk) , also (Higher dietary cholesterol intake was also linked to elevated diabetes risk) also provided therapy cardiovascular protection in diabetic cohorts, reducing major adverse cardiovascular events while that Paradoxical findings in LDL cholesterol changes suggested complex mortality associations, warranting cautious clinical interpretation, based on Descriptive statistics reflected a middle-aged, overweight population with dysregulated glucose and lipid parameters consistent with diabetes pathophysiology so finally we concluded Elevated non-HDL and dietary cholesterol represent modifiable risk factors for type 2 diabetes, highlighting the clinical importance of integrated lipid and glucose management strategies and These findings support continued research into tailored lipid-lowering therapies to mitigate diabetes progression and cardiovascular complications.