Using latent class analysis to produce a typology of environmental concern in the UK.

Factor analysis is often used to study environmental concern. This choice of methodology is driven by predominant theories that tie environmental attitudes to the multidimensional construct of environmental concern. This paper demonstrates that using a clustering method such as latent class analysis can be a valuable tool for studying environmental attitudes as they exist within a given population. In making the case for the value of latent class analysis in this context, we examine UK public concern for the environment and how this concern is associated with pro-environmental behaviours. To do this we use responses to DEFRA's 2009 Survey of Public Attitudes and Behaviours towards the Environment, which is still the most nationally representative survey of its type in the UK. Grouping respondents according to homogenous response patterns, we identify four classes of people, defined by their concern for the environment: Pro-environment, Neutral Majority, Disengaged and Paradoxical. To understand how these attitude classes are associated with behaviour and socio-economic status, class membership probability is regressed onto education, income and social grade, as well as 16 measures of environmental behaviour related to transport, food, recycling and home energy conservation. The results contradict most previous research with the environmental attitude classes by being highly predictive of environmental behaviour.

Rethinking the meaning of "landscape shocks" in energy transitions: German social representations of the Fukushima nuclear accident.

Sociotechnical sustainability transitions are understood to involve changes in cultural meaning, alongside a wide variety of other changes. One of the most popular conceptual models of such change, the multi-level perspective, exogenously locates slow-changing cultural factors in the 'sociotechnical landscape', viewing this landscape as periodically subject to 'shocks' that may support the break-through of niche innovations. Here we emphasise that shock to a sociotechnical system has social psychological dimensions, including meaning-related correlates. Accordingly, we apply social representations theory, as a theory of meaning, to provide a social psychological account of energy landscape shock and associated policy change. For illustration we take newspaper representations of the 2011 German social and policy response to the nuclear accident at the Fukushima Daiichi power plant in Japan. The study illustrates the inter-related role of affect, identity and symbolic meaning-making in the public response to a sociotechnical landscape shock.

Low cardiorespiratory fitness in people at risk for type 2 diabetes: early marker for insulin resistance.

PURPOSE: There is a significant association between insulin resistance and low cardiorespiratory fitness in nondiabetic subjects. In a population with risk factors for type 2 diabetes (T2DM), before they are insulin resistant, we investigated low exercise capacity (VO2max) as an early marker of impaired insulin sensitivity in order to determine earlier interventions to prevent development of insulin resistance syndrome (IRS) and T2DM. METHODS: Cross-sectional analyses of data on 369 (78 men and 291 women) people at risk for IRS and T2DM, aged 45.6 +/- 10 years (20-65 years) old from the Community Diabetes Prevention Project in Minnesota were carried out. The cardiorespiratory fitness (VO2max) by respiratory gas exchange and bicycle ergometer were measured in our at risk non insulin resistant population and compared with a control group living in the same geographic area. Both groups were equally sedentary, matched for age, gender and BMI. RESULTS: The most prevalent abnormality in the study population was markedly low VO2max when compared with general work site screening control group, (n = 177; 137F; 40 M, mean age 40 +/- 11 years; BMI = 27.8 +/- 6.1 kg/m2). Individuals at risk for IRS and T2DM had a VO2max (22 +/- 6 ml/kg/min) 15% lower than the control group VO2max (26 +/- 9 ml/kg/min) (p < 0.001). It was foun that VO2max was inversely correlated with HOMA-IR (r = -0.30, p < 0.0001). CONCLUSIONS: Decreased VO2max is correlated with impaired insulin sensitivity and was the most prevalent abnormality in a population at risk for IRS and T2DM but without overt disease. This raises the possibility that decreased VO2 max is among the earliest indicators of IRS and T2DM therefore, an important risk factor for disease progression.