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Background <p>Atherosclerotic Cardiovascular Disease (ASCVD) is a leading cause of death and disability worldwide, manifesting as myocardial infarction, stroke, and peripheral artery disease. While physical activity is known to prevent ASCVD, the exact biological mechanisms remain unclear. This study aimed to explore the causal relationship between exercise and ASCVD.</p> Methods <p>Participants from the NHANES database (2007–2018) were selected, excluding individuals under 20 years or with missing data. Initial analyses included student t-tests and chi-square tests, followed by constructing a baseline table. Three multivariate Generalized Linear Models (GLM) regression models were used to assess the correlation between exercise and ASCVD. Risk stratification analysis and a smooth curve described the nonlinear association between exercise and ASCVD. Mendelian randomization (MR) was further performed using five methods, with the inverse variance weighted (IVW) method being the primary approach. Sensitivity analysis and Steiger tests were conducted to evaluate the reliability and directionality of the MR results.</p> Results <p>After applying exclusion criteria, 2179 subjects were included in the analysis. Baseline characteristics showed significant differences in age, cholesterol, glucose, HDL, LDL, hypertension, diabetes, and exercise between ASCVD and control groups (<i>p</i> &lt; 0.05). Regression analysis revealed a significant association between physical inactivity and ASCVD. Further, risk stratification analysis identified significant influences of exercise, age, race, hypertension, and smoking on ASCVD risk. The smooth curve analysis indicated a nonlinear relationship between exercise and ASCVD risk. MR analysis established causality, with physical inactivity associated with increased ASCVD risk (OR  1.618, 95% CI  1.052–2.488, <i>p</i> = 0.029). Sensitivity analysis and Steiger tests confirmed the reliability and directionality of MR results.</p> Conclusion <p>Physical inactivity causally increases ASCVD risk. Clinically, structured, individualized exercise programs should be integrated into ASCVD prevention and management to complement pharmacotherapy and improve outcomes.</p>

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The correlation between exercise and atherosclerotic cardiovascular disease: a combined analysis using NHANES data (2007–2018) and Mendelian randomization

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年2月11日

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  • Zhao Zhao,
  • Xintao Hu,
  • Hongxu Yan,
  • Chuangchuang Shen,
  • Jichong Chen,
  • Bing Wang

摘要

Background

Atherosclerotic Cardiovascular Disease (ASCVD) is a leading cause of death and disability worldwide, manifesting as myocardial infarction, stroke, and peripheral artery disease. While physical activity is known to prevent ASCVD, the exact biological mechanisms remain unclear. This study aimed to explore the causal relationship between exercise and ASCVD.

Methods

Participants from the NHANES database (2007–2018) were selected, excluding individuals under 20 years or with missing data. Initial analyses included student t-tests and chi-square tests, followed by constructing a baseline table. Three multivariate Generalized Linear Models (GLM) regression models were used to assess the correlation between exercise and ASCVD. Risk stratification analysis and a smooth curve described the nonlinear association between exercise and ASCVD. Mendelian randomization (MR) was further performed using five methods, with the inverse variance weighted (IVW) method being the primary approach. Sensitivity analysis and Steiger tests were conducted to evaluate the reliability and directionality of the MR results.

Results

After applying exclusion criteria, 2179 subjects were included in the analysis. Baseline characteristics showed significant differences in age, cholesterol, glucose, HDL, LDL, hypertension, diabetes, and exercise between ASCVD and control groups (p < 0.05). Regression analysis revealed a significant association between physical inactivity and ASCVD. Further, risk stratification analysis identified significant influences of exercise, age, race, hypertension, and smoking on ASCVD risk. The smooth curve analysis indicated a nonlinear relationship between exercise and ASCVD risk. MR analysis established causality, with physical inactivity associated with increased ASCVD risk (OR  1.618, 95% CI  1.052–2.488, p = 0.029). Sensitivity analysis and Steiger tests confirmed the reliability and directionality of MR results.

Conclusion

Physical inactivity causally increases ASCVD risk. Clinically, structured, individualized exercise programs should be integrated into ASCVD prevention and management to complement pharmacotherapy and improve outcomes.