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Mendelian randomisation and mediation analysis of self-reported walking pace and coronary artery disease. | LitMetric

AI Article Synopsis

  • The study evaluated the relationship between walking pace and cardiovascular disease risk using a method called Mendelian randomisation, analyzing data from 340,000 UK Biobank participants.
  • Results indicated that a 1 mph increase in walking pace could reduce the risk of coronary artery disease by 63%.
  • Additionally, about 45% of the effect on coronary artery disease risk was found to be mediated through body mass index (BMI), suggesting that promoting brisk walking could benefit cardiovascular health.

Article Abstract

The aim of this study was to assess the causal relationship between habitual walking pace and cardiovascular disease risk using a Mendelian randomisation approach. We performed both one- and two-sample Mendelian randomisation analyses in a sample of 340,000 European ancestry participants from UK Biobank, applying a range of sensitivity analyses to assess pleiotropy and reverse causality. We used a latent variable framework throughout to model walking pace as a continuous exposure, despite being measured in discrete categories, which provided more robust and interpretable causal effect estimates. Using one-sample Mendelian randomisation, we estimated that a 1 mph (i.e., 1.6 kph) increase in self-reported habitual walking pace corresponds to a 63% (hazard ratio (HR) = 0.37, 95% confidence interval (CI), 0.25-0.55, P = 2.0 × 10) reduction in coronary artery disease risk. Using conditional analyses, we also estimated that the proportion of the total effect on coronary artery disease mediated through BMI was 45% (95% CI 16-70%). We further validated findings from UK Biobank using two-sample Mendelian randomisation with outcome data from the CARDIoGRAMplusC4D consortium. Our findings suggest that interventions that seek to encourage individuals to walk more briskly should lead to protective effects on cardiovascular disease risk.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11063179PMC
http://dx.doi.org/10.1038/s41598-024-60398-8DOI Listing

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