Arthurmedina9335

maximizing chances to prevent permanent paraplegia in patients with TAAA. © The Author(s) 2020. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. ABC294640 All rights reserved.BACKGROUND Personality traits, coping styles, and health-related behaviors show associations with various aspects of health. However, integrative life-course investigations of pathways by which these factors might affect later cumulative physiological health risk remain sparse. PURPOSE To investigate prospective associations of personality traits via coping styles and health-related behaviors on allostatic load in a national sample. METHODS Using data from the Midlife in the United States study (MIDUS; N = 1,054), path analyses were used to test direct and indirect associations (via coping styles, smoking, frequency of alcohol consumption, leisure-time physical activity, and perceptions of activity) of personality traits on a latent measurement model of allostatic load informed by 10 biomarkers associated with cardiovascular, inflammation, glucose, and lipid subsystems. RESULTS Direct 10 year associations of greater conscientiousness on healthier allostatic load and greater extraversion on less healthy allostatic load were observed. Consistent with hypothesized behavioral pathways, relationships between conscientiousness and extraversion on allostatic load were prospectively mediated by greater perceptions of activity. Physical activity and more frequent alcohol use were associated with healthier allostatic load but did not act as prospective mediators. CONCLUSIONS The results provide further evidence of conscientiousness' standing as a marker of health via cumulative physiological health. Moreover, a greater perception of activity was identified as a pathway through which conscientious individuals experienced healthier physiological profiles over time. Examining a more detailed picture of the psychosocial mechanisms leading to development of health risk, as was found with perceptions of activity, remains an important area for future research. © Society of Behavioral Medicine 2020. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.BACKGROUND Seasonal influenza vaccination is an important behavior with significant individual and public health consequences, yet fewer than half of individuals in the USA are vaccinated annually. To promote vaccination adherence, it is important to understand the factors that affect vaccination behavior. PURPOSE In this research, we focused on one such factor, an individual's vaccination history. We gathered longitudinal data to track and understand the relationship between an individual's vaccination history and their current behaviors. METHODS U.S. adults completed multiple surveys over an 8 year period, which asked about whether they had received the influenza vaccination during the previous flu season. We analyzed the data to determine the strength of the relationship between vaccination decisions across single-year and multiyear intervals. Additionally, we fitted two mathematical models to the data to determine whether individuals were better characterized as having a stable propensity to vaccinate or a stable propensity to repeat their previous decisions. RESULTS Individuals exhibited highly consistent behavior across adjacent years, yet, across the complete extent of the longitudinal study, they were far more likely to repeat the earlier decision to vaccinate. Surprisingly, the results of the mathematical model suggest that individuals are better characterized as having a stable propensity to repeat their previous decisions rather than a stable propensity to vaccinate per se. Although most individuals had an extremely strong tendency to repeat the previous decision, some had a far weaker propensity to do so. CONCLUSIONS This suggests that interventions intended to increase vaccination uptake might be most impactful for those individuals with only a weak tendency to vaccinate or not to vaccinate. © Society of Behavioral Medicine 2020. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.Aotearoa-New Zealand is expecting the number of older adults to double in the next 20 years. Despite publicly funded health and welfare support for older citizens, the aging experience differs across ethnic groups. This creates opportunities and challenges for health and social services to deliver culturally safe and equitable care for all older New Zealanders. Longitudinal and large data sets are pivotal for characterizing the aging experience from birth to advanced age. The New Zealand research funding system responded to predicted demographic changes by increasing funding in order to inform and address key health and well-being issues for older people. In addition, government strategies and policies increasingly focus on social aspects of aging and health inequities and require researchers and organizations to be better connected to end-users. New Zealand needs to continue to fund research that identifies unique and courageous service delivery solutions that result in positive social, financial, psychological, and physical aging for older New Zealanders. © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America.OBJECTIVES Preventing type A aortic dissection requires reliable prediction. We developed and validated a multivariable prediction model based on anthropometry to define patient-adjusted thresholds for aortic diameter and length. METHODS We analysed computed tomography angiographies and clinical data from 510 control patients, 143 subjects for model validation, 125 individuals with ascending aorta ectasia (45-54 mm), 58 patients with aneurysm (≥55 mm), 206 patients with type A aortic dissection and 19 patients who had received a computed tomography angiography ≤2 years before they suffered from a type A aortic dissection. Computed tomography angiographies were analysed using curved planar reformations. RESULTS In the control group, the mean ascending aortic diameter was 33.8 mm [standard deviation (SD) ±5.2 mm], and the length, measured from the aortic valve to the brachiocephalic trunk, was 91.9 mm (SD ±12.2 mm); both diameter and length were correlated with anthropometric parameters and were smaller than the respective values in all pathological groups (P 25% in the ectasia and aneurysm groups.