Coping Mediates the Association Between Type D Personality and Perceived Health in Chinese Patients with Coronary Heart Disease

Background: Increasing evidence show that Type D personality is a risk factor for morbidity, mortality, and quality of life of patients with coronary vascular disease. Few studies examined coping as a potential behavioral mechanism to explain the harmful effect of Type D personality. Purpose: This study examined the association between Type D personality, coping, and perceived health among Chinese patients with coronary heart disease (CHD). Methods: One hundred seventeen CHD patients completed the assessments on Type D personality, coping, perceived severity of CHD, and morale. Results: There was no difference on severity of coronary artery stenosis between Type D and non-Type D patients. Compared to the non-Type D patients, the Type D patients perceived higher severity of CHD (5.31±2.41 versus 4.45±2.17, p<0.05) and lower morale (12.67±4.71 versus 15.00±4.43, p<0.05), and used less confrontation (16.90±5.39 versus 20.88±4.95, p<0.001) and more acceptance-resignation coping (10.16±3.50 versus 8.35±3.48, p<0.05). Mediation analyses showed that confrontation coping mediated the association between Type D personality and perceived severity of disease, and acceptance-resignation coping mediated the association between Type D personality and morale after controlling for age, gender, and clinical variables. Conclusion: The Type D patients used maladaptive coping in response to disease. These coping strategies fully mediated the association between Type D personality and perceived health. Implications for integrating coping training into the intervention for patients with a Type D personality are discussed. © 2010 The Author(s).published_or_final_versionSpringer Open Choice, 21 Feb 201

Brain age predicts mortality

Age-associated disease and disability are placing a growing burden on society. However, ageing does not affect people uniformly. Hence, markers of the underlying biological ageing process are needed to help identify people at increased risk of age-associated physical and cognitive impairments and ultimately, death. Here, we present such a biomarker, ‘brain-predicted age’, derived using structural neuroimaging. Brain-predicted age was calculated using machine-learning analysis, trained on neuroimaging data from a large healthy reference sample (N = 2001), then tested in the Lothian Birth Cohort 1936 (N = 669), to determine relationships with age-associated functional measures and mortality. Having a brain-predicted age indicative of an older-appearing brain was associated with: weaker grip strength, poorer lung function, slower walking speed, lower fluid intelligence, higher allostatic load and increased mortality risk. Furthermore, while combining brain-predicted age with grey matter and cerebrospinal fluid volumes (themselves strong predictors) not did improve mortality risk prediction, the combination of brain-predicted age and DNA-methylation-predicted age did. This indicates that neuroimaging and epigenetics measures of ageing can provide complementary data regarding health outcomes. Our study introduces a clinically-relevant neuroimaging ageing biomarker and demonstrates that combining distinct measurements of biological ageing further helps to determine risk of age-related deterioration and death

Aortic stiffness is related to left ventricular diastolic function in patients with diabetes mellitus type 1: assessment with MRI and speckle tracking strain analysis

Diabetes mellitus type 1 (DM1) is associated with aortic stiffening and left ventricular (LV) diastolic dysfunction, however the relationship between aortic stiffness and LV diastolic dysfunction in DM1 patients is still largely unknown. The purpose of this study was to evaluate whether an increased aortic stiffness, expressed by increased aortic pulse wave velocity (PWV), is associated with subclinical LV diastolic dysfunction and decreased left atrial (LA) compliance as assessed with speckle tracking strain analysis in patients with DM1. Aortic PWV was assessed with cardiovascular magnetic resonance in 41 DM1 patients. Patients underwent echocardiography for assessment of conventional LV diastolic function indices and LV and LA longitudinal strain and strain rate (SR) assessed with speckle tracking strain analysis. LV SR during the isovolumic relaxation period (SRIVR) and LA strain were recorded and the E-wave velocity to SRIVR velocity ratio (E/SRIVR) was calculated. Independent samples t test and multivariate linear regression analyses were used for statistical analyses. Aortic PWV significantly correlated with SRIVR (beta = -0.71, p 0.10). In DM1 patients, aortic stiffness is inversely associated with sensitive markers of LV diastolic function and decrease in LA compliance as measured with echocardiographic speckle tracking strain analysis