Understanding the Relationship Between the Multidimensional Perfectionism and Self-Compassion in Adults: The Effect of Age

Literature suggests that perfectionism is associated to self-compassion. However, the multiple relationships between the types of perfectionism (adaptive, maladaptive and non-perfectionists) and the multidimensional construct of self-compassion have not been thoroughly examined. To this end, the present study aimed (a) to examine the relationships between the types of perfectionism and the self-compassion components in an adult sample and (b) to check the effect of age on the relationship between the perfectionistic types and the self-compassion components. Participants were 509 adults aged 18 to 65 years. Self-report questionnaires were used to collect the data. Results indicated that High Standards positively predicted all self-compassion components while Discrepancy positively predicted Self-judgment and Isolation and overidentification and negatively predicted Self-Kindness and mindfulness and Common humanity. In addition, it was found that adaptive perfectionists and non-perfectionists reported higher levels on the positive components of self-compassion and lower levels on its negative components, compared to maladaptive perfectionists. With respect to age, participants in established (30-45 years) and middle (46-65 years) adulthood reported higher levels on the positive self-compassion components and lower levels on its negative components compared to young adults (18-29 years), while participants in emerging adulthood scored higher on both the dimensions of perfectionism (adaptive and maladaptive) compared to participants in established and middle adulthood. Finally, age moderated only the relationship between adaptive perfectionism and Isolation and overidentification. Future directions and implications are being discussed.

Predictive role of platelet indices on hospital admission and discharge in the long-term prognosis of acute coronary syndrome: Platelets do count

Funding Acknowledgements

Type of funding sources: None.

Background/Introduction: Previous clinical studies have underlined the prognostic role of platelet indices in acute coronary syndrome (ACS). However, the effect of their dynamic change during hospitalization has not thoroughly been examined. Purpose: We aimed to investigate the association between platelet indices on admission, on discharge and their change during hospitalization and the long-term prognosis of patients with ACS. Methods: Data from a randomized controlled trial recruiting ACS patients were analyzed in a survival analysis. Platelet count (PC), mean platelet volume (MPV), platelet distribution width (PDW) and plateletcrit (PCT) on admission and on discharge dichotomized at the median value, as well as the change between admission and discharge of each variable dichotomized at the zero value. Primary endpoints were major adverse cardiac events (MACE), defined as occurrence of cardiovascular death, non-fatal myocardial infarction, non-fatal stroke or hospitalization for unstable angina, while secondary endpoints were all-cause mortality, all-cause hospitalization and major or minor bleeding events. Results: The study included 252 individuals who were followed-up for a median of 39 months. In the univariate Cox regression analysis, only PC at discharge (HR 2.20, 95% CI 1.10-4.40), MPV at discharge (HR 0.48, 95% CI 0.25-0.94) and PC reduction during the hospitalization (HR 0.25, 95% CI 0.13-0.51) predicted MACE. PC reduction correlated with a lower MACE occurrence (adjusted HR 0.27, 95%CI 0.14-0.54) and lower risk of all-cause hospitalization (adjusted HR 0.36, 95%CI 0.19-0.68) in the multivariable Cox-regression analysis. Conclusion: PC change during hospitalization can be a substantial independent predictor of long-term prognosis of ACS patients.

Baseline and admission characteristics Characteristic Statistic Overall, N = 252 Negative Platelet Difference, N = 98 Postive Platelet Difference, N = 154 p-value Age, years median (IQR) 60 (53, 72) 62 (55, 74) 60 (53, 72) 0.2 Hypertension n(%) 147(58.3%) 58(59.2%) 89(57.8%) >0.9 Diabetes n(%) 71(28.2%) 27(27.6%) 44(28.6%) >0.9 Cardiovascualr Disease (CVD) n(%) 100(39.7%) 43(43.9%) 57(37.0%) 0.3 Primary Coronary Intervention (PCI) treatment n(%) 200(79.4%) 71(72.4%) 129(83.8%) 0.045 Number of vessels n 0.6 1 n(%) 107(59.1%) 38(59.4%) 69(59.0%) ≥2 n(%) 68(37.6%) 25(39.1%) 43(36.8%) Platelets at admission, K/μL mean(SD) 257179(71031) 237020(62555) 270006(73282) 0.001 Platelets at dischage, K/μL mean(SD) 250952(70263) 279153(75159) 233006(60698) <0.001

Abstract Figure. MACE univariate / multivariate analysis

Three Scales to Measure Burnout of Primary School Teachers: Empirical Evidence on their Adequacy

This study aimed at comparing the psychometric properties of three measures of burnout administered in 320 Greek primary school teachers, namely the Maslach Burnout Inventory (Maslach and Jackson 1982), the Burnout Measure (Pines and Aronson 1988) and the Copenhagen Burnout Inventory (Kristensen et al. 2005). Confirmatory factor analysis tested a three-factor solution for each inventory, consistent to the respective theory. Results yielded a reasonably good model fit for the MBI, and merely acceptable model fit for the BM and the CBI. Overall the findings suggest that the MBI is more appropriate instrument for assessing teachers' burnout compared to the MB and the CBI, which presented not so well-defined inner structure and highly correlated subscales.