Alcohol consumption among university students: a typology of consumption to aid the tailoring of effective public health policy

Objective: Elevated levels of alcohol consumption among university students are well documented. Policymakers have attempted to combat this issue at a university, national and international level. Tailoring public health policy to effectively tackle alcohol use is crucial. Using Q-methodology, the current study aims to develop a typology of alcohol consumption in the Irish university student population. Setting: A large Irish university. Participants Hundreds of possible statements on types of consumption were generated from a systematic review and a set of one-on-one interviews. These were reduced to 36 statements, 6 statements which define each of the 6 previously defined consumption types. Participants were advised to scan through the 36 statements and fill the statements into a ‘forced choice, standardised distribution’. Following this, a 45–90 min interview was conducted with students to illuminate subjectivity surrounding alcohol consumption. Analysis was conducted using PQ Method and NVivo software. Principal component analysis, followed by varimax rotation, was conducted to uncover the final factor information. Results: In total, 43 students completed the Q-study: 19 men and 24 women. A typology describing 4 distinct groupings of alcohol consumer was uncovered: the guarded drinker, the calculated hedonist, the peer-influenced drinker and the inevitable binger. Factor loadings of each of the consumer groupings were noted for type description. Conclusions: This is the first study to propose ideal types of alcohol consumption among a university student population. Further research is required to investigate the degree to which each of these ideal types is subscribed. However, this typology, in addition to informing public policy and strategies, will be a valuable analytic tool in future research.

Development of miniaturized wireless sensor nodes suitable for building energy management and modelling

Buildings consume 40% of Ireland's total annual energy translating to 3.5 billion (2004). The EPBD directive (effective January 2003) places an onus on all member states to rate the energy performance of all buildings in excess of 50m2. Energy and environmental performance management systems for residential buildings do not exist and consist of an ad-hoc integration of wired building management systems and Monitoring & Targeting systems for non-residential buildings. These systems are unsophisticated and do not easily lend themselves to cost effective retrofit or integration with other enterprise management systems. It is commonly agreed that a 15-40% reduction of building energy consumption is achievable by efficiently operating buildings when compared with typical practice. Existing research has identified that the level of information available to Building Managers with existing Building Management Systems and Environmental Monitoring Systems (BMS/EMS) is insufficient to perform the required performance based building assessment. The cost of installing additional sensors and meters is extremely high, primarily due to the estimated cost of wiring and the needed labour. From this perspective wireless sensor technology provides the capability to provide reliable sensor data at the required temporal and spatial granularity associated with building energy management. In this paper, a wireless sensor network mote hardware design and implementation is presented for a building energy management application. Appropriate sensors were selected and interfaced with the developed system based on user requirements to meet both the building monitoring and metering requirements. Beside the sensing capability, actuation and interfacing to external meters/sensors are provided to perform different management control and data recording tasks associated with minimisation of energy consumption in the built environment and the development of appropriate Building information models(BIM)to enable the design and development of energy efficient spaces.