Neuroticism personality traits are linked to adverse cardiovascular phenotypes in the UK Biobank

Author:

Mahmood Adil1ORCID,Simon Judit2ORCID,Cooper Jackie1,Murphy Theodore3,McCracken Celeste14ORCID,Quiroz Juan5,Laranjo Liliana6ORCID,Aung Nay17ORCID,Lee Aaron Mark1,Khanji Mohammed Y17,Neubauer Stefan4ORCID,Raisi-Estabragh Zahra17,Maurovich-Horvat Pal2,Petersen Steffen E1789

Affiliation:

1. William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London , Charterhouse Square , London EC1M 6BQ, UK

2. MTA-SE Cardiovascular Imaging Research Group, Department of Radiology, Medical Imaging Centre, Semmelweis University , Budapest , Hungary

3. Department of Cardiology and Cardiovascular Imaging, Beacon Hospital , Dublin , Ireland

4. Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust , Oxford OX3 9DU , UK

5. Centre for Big Data Research in Health (CBDRH), The University of New South Wales (UNSW) , Sydney , Australia

6. Faculty of Medicine and Health, Westmead Applied Research Centre (WARC), University of Sydney , Australia

7. Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust , West Smithfield, EC1A 7BE , London, UK

8. Health Data Research UK , London , UK

9. Alan Turing Institute , London , UK

Abstract

Abstract Aims To evaluate the relationship between neuroticism personality traits and cardiovascular magnetic resonance (CMR) measures of cardiac morphology and function, considering potential differential associations in men and women. Methods and results The analysis includes 36 309 UK Biobank participants (average age = 63.9 ± 7.7 years; 47.8% men) with CMR available and neuroticism score assessed by the 12-item Eysenck Personality Questionnaire-Revised Short Form. CMR scans were performed on 1.5 Tesla scanners (MAGNETOM Aera, Siemens Healthcare, Erlangen, Germany) according to pre-defined protocols and analysed using automated pipelines. We considered measures of left ventricular (LV) and right ventricular (RV) structure and function, and indicators of arterial compliance. Multivariable linear regression was used to estimate association of neuroticism score with individual CMR metrics, with adjustment for age, sex, obesity, deprivation, smoking, diabetes, hypertension, hypercholesterolaemia, alcohol use, exercise, and education. Higher neuroticism scores were associated with smaller LV and RV end-diastolic volumes, lower LV mass, greater concentricity (higher LV mass to volume ratio), and higher native T1. Greater neuroticism was also linked to poorer LV and RV function (lower stroke volumes) and greater arterial stiffness. In sex-stratified analyses, the relationships between neuroticism and LV stroke volume, concentricity, and arterial stiffness were attenuated in women. In men, association (with exception of native T1) remained robust. Conclusion Greater tendency towards neuroticism personality traits is linked to smaller, poorer functioning ventricles with lower LV mass, higher myocardial fibrosis, and higher arterial stiffness. These relationships are independent of traditional vascular risk factors and are more robust in men than women.

Funder

Irish Cardiac Society

NIHR Integrated Academic Training programme

Academic Clinical Lectureship

UK Biobank

EPSRC programme

European Union's Horizon 2020 research and innovation programme

NIHR Barts Biomedical Research Centre

London Medical Imaging

AI4VBH

Early Diagnosis and Precision Medicine

Industrial Strategy Challenge Fund

Innovate UK

UKRI

AI4VBH consortium

NHS

NIHR Oxford Biomedical Research Centre

Oxford BHF Centre of Research Excellence

BHF

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging,General Medicine

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