Cycling and heart failure: A 2-sample Mendelian randomization.

Abstract

Heart failure (HF) is a major cause of mortality worldwide. Cycling, an aerobic exercise, is believed to have a more effective rehabilitative impact on patients with heart failure. Previous studies have demonstrated the benefits of exercise in patients with HF. However, a precise causal relationship remains unknown. Two-sample Mendelian randomization (MR) was used to investigate the potential causal relationship between regular cardiac cycling and heart failure (HF) development. Data from the IEU OpenGWAS project, an extensive genetic study involving a diverse group of European males and females was used to determine how choices related to physical activity, such as cycling, impact cardiovascular well-being. To ensure reliability and robustness, the MR-Egger regression, weighted median, and random effects with inverse variance weighting methods were used. The key findings were summarized using odds ratio (OR) and 95% confidence intervals (CI). The MR-Egger, weighted mean, and inverse variance weighted (IVW) estimated superiority ratios were 0.960 (95% CI: 0.909-1.013), 0.985 (95% CI: 0.962-1.009), and 0.982 (95% CI: 0.966-0.998), respectively, indicating a significant association between cycling and a decreased risk of heart failure. These findings suggest that cycling, a form of moderate and easily accessible physical activity, may be a protective factor against HF. These findings correlate with those of previous studies regarding the crucial role of regular physical activity for the prevention and management of cardiovascular disease. The outcomes of this MR analysis can be used in the development of public health policies and aid individuals making lifestyle choices that promote heart health.