The role of paradigm analysis in the development of policies for a resource efficient economy

Policy makers are often called upon to navigate between scientists’ urgent calls for long-term concerted action to reduce the environmental impacts due to resource use, and the public’s concerns over policies that threaten lifestyles or jobs. Against these political challenges, resource efficiency policy making is often a changeable and even chaotic process, which has fallen short of the political ambitions set by democratically elected governments. This article examines the importance of paradigms in understanding how the public collectively responds to new policy proposals, such as those developed within the project DYNAmic policy MiXes for absolute decoupling of environmental impact of EU resource use from economic growth (DYNAMIX). The resulting proposed approach provides a framework to understand how different concerns and worldviews converge within public discourse, potentially resulting in paradigm change. Thus an alternative perspective on how resource efficiency policy can be development is proposed, which envisages early policies to lay the ground for future far-reaching policies, by altering the underlying paradigm context in which the public receive and respond to policy. The article concludes by arguing that paradigm change is more likely if the policy is conceived, framed, designed, analyzed, presented, and evaluated from the worldview or paradigm pathway that it seeks to create (i.e. the destination paradigm).

Feasibility of MR-Based Body Composition Analysis in Large Scale Population Studies

Introduction Quantitative and accurate measurements of fat and muscle in the body are important for prevention and diagnosis of diseases related to obesity and muscle degeneration. Manually segmenting muscle and fat compartments in MR body-images is laborious and time-consuming, hindering implementation in large cohorts. In the present study, the feasibility and success-rate of a Dixon-based MR scan followed by an intensity-normalised, non-rigid, multi-atlas based segmentation was investigated in a cohort of 3,000 subjects. Materials and Methods 3,000 participants in the in-depth phenotyping arm of the UK Biobank imaging study underwent a comprehensive MR examination. All subjects were scanned using a 1.5 T MR-scanner with the dual-echo Dixon Vibe protocol, covering neck to knees. Subjects were scanned with six slabs in supine position, without localizer. Automated body composition analysis was performed using the AMRA Profiler™ system, to segment and quantify visceral adipose tissue (VAT), abdominal subcutaneous adipose tissue (ASAT) and thigh muscles. Technical quality assurance was performed and a standard set of acceptance/rejection criteria was established. Descriptive statistics were calculated for all volume measurements and quality assurance metrics. Results Of the 3,000 subjects, 2,995 (99.83%) were analysable for body fat, 2,828 (94.27%) were analysable when body fat and one thigh was included, and 2,775 (92.50%) were fully analysable for body fat and both thigh muscles. Reasons for not being able to analyse datasets were mainly due to missing slabs in the acquisition, or patient positioned so that large parts of the volume was outside of the field-of-view. Discussion and Conclusions In conclusion, this study showed that the rapid UK Biobank MR-protocol was well tolerated by most subjects and sufficiently robust to achieve very high success-rate for body composition analysis. This research has been conducted using the UK Biobank Resource.