Does a consistent mentor help a youth transition into a secure and independent adult life? To answer this, I have used a grounded theory methodology to research elements of the foster care system. Through academic research, I audited the landscape of mentoring within foster care and then helped in the…
Does a consistent mentor help a youth transition into a secure and independent adult life? To answer this, I have used a grounded theory methodology to research elements of the foster care system. Through academic research, I audited the landscape of mentoring within foster care and then helped in the designing of a framework for a foster youth mentoring service could look like and have researched the areas in which a mentor can benefit a youth. I have listened to and recorded the stories of three college students with lived foster care experience so that I could learn from those who have firsthand experience. After using these methods, the findings showed that a consistent mentor figure is a key factor in the transition into a secure and independent adult life.
The study aimed to determine the relationship of subjective perception of wellness (Intrinsic Fatigue) and Global Positioning Satellite derived workload amongst elite high school soccer players. Twenty-nine (16.4 ± 1.54 years) male participants completed a mobile app-based wellness questionnaire comprising of 6 subjective markers prior to 10 workload variables being…
The study aimed to determine the relationship of subjective perception of wellness (Intrinsic Fatigue) and Global Positioning Satellite derived workload amongst elite high school soccer players. Twenty-nine (16.4 ± 1.54 years) male participants completed a mobile app-based wellness questionnaire comprising of 6 subjective markers prior to 10 workload variables being measured by STATSports 10Hz GPS units later that same day. Only instances where both wellness and GPS reports qualified for analyses (N=231 exposures). No significant differences were reported in reported wellness within- or between-weeks (p > 0.05) with average Effect Sizes (ES) ranging from 0.001 to 0.15. Total Distance (TD) was significantly different (p < 0.05) within week. All GPS variables except TD and Distance per Minute (DpM) were significantly different (p < 0.05) between-weeks. Average GPS ES sizes ranged from 0.02 to 0.58. Wellness and GPS or it’s ESs were not correlated, with correlations ranging from -1.000 to 0.207. The results suggest monitoring of GPS reports to be a practical method of monitoring variation in player workload but does not support subjective questionnaires as a means of monitoring player wellness reflecting these workload variations in youth populations.
