Flourishing Youth Provision: The Potential Role of Positive Psychology and Coaching in Enhancing Youth Services

This article discusses how positive psychology and evidence-based coaching can support youth service provision in order to promote cross fertilisation between these different domains of practice. The transition from adolescence to adulthood is difficult for many young people and there is growing recognition that there should be a greater emphasis on the provision of youth services to help young people to achieve physical, emotional and psychological well-being at this key development stage. A literature review was conducted to identify key themes emerging in recent youth work strategies in the United Kingdom and Australia and from the positive psychology and evidence-based coaching research literature. Clear links can be made between the aims and objectives of youth work strategy and positive psychology and evidence-based coaching, and these have potential for use within youth services as a means of enhancing the well-being, resilience and hope of both young people and those who work to support them

A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape

Large consortia have revealed hundreds of genetic loci associated with anthropometric traits, one trait at a time. We examined whether genetic variants affect body shape as a composite phenotype that is represented by a combination of anthropometric traits. We developed an approach that calculates averaged PCs (AvPCs) representing body shape derived from six anthropometric traits (body mass index, height, weight, waist and hip circumference, waist-to-hip ratio). The first four AvPCs explain >99% of the variability, are heritable, and associate with cardiometabolic outcomes. We performed genome-wide association analyses for each body shape composite phenotype across 65 studies and meta-analysed summary statistics. We identify six novel loci: LEMD2 and CD47 for AvPC1, RPS6KA5/C14orf159 and GANAB for AvPC3, and ARL15 and ANP32 for AvPC4. Our findings highlight the value of using multiple traits to define complex phenotypes for discovery, which are not captured by single-trait analyses, and may shed light onto new pathways