Association between personality, lifestyle behaviors, and cardiovascular diseases in type 2 diabetes mellitus: a population-based cohort study of UK Biobank data

Abstract

Introduction Various strategies aim to better assess risks and refine prevention for patients with type 2 diabetes mellitus (T2DM), who vary in cardiovascular disease (CVD) risk. However, the prognostic value of personality and its association with lifestyle factors remain elusive. Research design and methods We identified 8794 patients with T2DM from the UK Biobank database between 2006 and 2010 and followed them up until the end of 2021. We assessed personality traits using the Big Five proxies derived from UK Biobank data: sociability, warmth, diligence, curiosity, and nervousness. Healthy lifestyle behaviors were determined from information about obesity, smoking status, and physical activity. The primary outcome was a composite of incident CVD, including myocardial infarction (MI), ischemic stroke (IS), atrial fibrillation (AF), and heart failure (HF). Results During a median follow-up of 13.6 years, a total of 2110 patients experienced CVDs. Among personality traits, diligence was significantly associated with a reduced risk of primary and secondary outcomes. The adjusted HRs with 95% CIs were: composite CVD, 0.93 (0.89–0.97); MI 0.90 (0.82–1.00); IS 0.83 (0.74–0.94); AF 0.92 (0.85–0.98); HF 0.84 (0.76–0.91). Healthy lifestyle behaviors significantly reduced the risk of composite CVDs in groups with high and low diligence. The findings of a structural equation model showed that diligence directly affected the risk of the primary outcome or indirectly by modifying lifestyle behaviors. Conclusion This study revealed which personality traits can influence CVD risk during T2DM and how patients might benefit from adopting healthy lifestyle behaviors in relation to personality. Data are available upon reasonable request. The data used in the present research are available via a direct application to the UK Biobank () and this research was conducted with approved access to UK Biobank data under application ID 91312. All other data supporting the research findings are available within the article and its supplementary information files and from the corresponding author upon reasonable request.