Limited data are available regarding the effect of metabolic syndrome on heart failure (HF) development in young individuals. Utilizing data from the Korean National Health Insurance Service, we included a total of 1,958,284 subjects in their 40s who underwent health screening between January 2009 and December 2009 in Korea. Subjects were classified into three groups: normal, pre-metabolic syndrome (Pre-MetS), and metabolic syndrome (MetS). MetS was identified in 10.58% of males and 5.21% of females. The hazard ratio for HF in subjects with MetS was 1.968 (95% CI: 1.526–2.539) for males and 2.398 (95% CI: 1.466–3.923) for females. For those with Pre-MetS, the hazard ratio was 1.607 (95% CI: 1.293–1.997) in males and 1.893 (95% CI: 1.43–2.505) in females. Additionally, acute myocardial infarction and low hemoglobin levels were identified as significant risk factors for HF in both genders. MetS approximately doubled the risk of developing HF in individuals in their 40s. Pre-MetS was also a significant risk factor for HF in this population.

Metabolic syndrome (MetS), a cluster of metabolic dysregulations, is recognized as a significant risk factor for the development of heart failure (HF). The pathophysiological mechanisms linking MetS to HF are complex and multifaceted, with the components of MetS contributing to cardiac deterioration through impaired myocardial energy metabolism, increased inflammation, and endothelial dysfunction. Numerous clinical studies have confirmed the relationship between MetS and HF. Multiple studies have demonstrated that the impact of MetS on HF varies by sex and age. Metabolic disorders, including MetS, have a greater impact on HF incidence in younger adults compared to the elderly population and in women compared to men. Although the reasons for these differences are not yet fully understood, recognizing the sex- and age-related variations is crucial for developing targeted strategies to prevent HF in individuals with MetS. Future research should continue to investigate the underlying mechanisms behind these variations and identify optimal management approaches that account for both sex and age in reducing HF risk.