The Effect of Empathy on Implicit Bias

The current study, investigates the influence of media on implicit biases through the mediating factor of empathy. The hypothesis was that participants that read passages that invoked empathy for either Blacks or police would experience a change in their implicit bias towards both groups (Blacks and police). Bard undergraduates read one of three passages (Black empathy, police empathy or control). The passages were created to manipulate empathy in the participants for Blacks, police or for neither group. Then they completed three Implicit Association Tests that measured their implicit biases towards flowers compared to insects, Black people compared to White people and police compared to other professions. Analyses showed that there was a main effect of Black empathy condition on the Race IAT; participants that read both of the empathy passages had more implicit preference for Whites over Blacks than participants in the control condition. There was no main effect of condition (passage) on empathy. Limitations and future directions are discussed

Physiological and training characteristics of recreational marathon runners

Purpose: The aim of this study was to examine the physical and training characteristics of recreational marathon runners within finish time bandings (2.5–3 h, 3–3.5 h, 3.5–4 h, 4–4.5 h and >4.5 h). Materials and methods: A total of 97 recreational marathon runners (age 42.4 ± 9.9 years; mass 69.2 ± 11.3 kg; stature 172.8 ± 9.1 cm), with a marathon finish time of 229.1 ± 48.7 min, of whom n = 34 were female and n = 63 were male, completed an incremental treadmill test for the determination of lactate threshold (LT1), lactate turn point (LT2) and running economy (RE). Following a 7-min recovery, they completed a test to volitional exhaustion starting at LT2 for the assessment of VO2max. In addition, all participants completed a questionnaire gathering information on their current training regimes exploring weekly distances, training frequencies, types of sessions, longest run in a week, with estimations of training speed, and load and volume derived from these data. Results: Training frequency was shown to be significantly greater for the 2.5–3 h group compared to the 3.5–4 h runners (P 4.5 h group (P = 0.004), while distance per session (km⋅session–1) was significantly greater for the 2.5–3 h group (16.1 ± 4.2) compared to the 3.5–4 h group (15.5 ± 5.2; P = 0.01) and >4.5 h group (10.3 ± 2.6; P = 0.001). Race speed correlated with LT1 (r = 0.791), LT2 (r = 0.721) and distance per session (r = 0.563). Conclusion: The data highlight profound differences for key components of marathon running (VO2max, LT1, LT2, RE and % VO2max) within a group of recreational runners with the discriminating training variables being training frequency and the absolute training speed