BACKGROUND: Understanding which factors influence occupational safety and health risks is crucial to promote psychosocial risk management. OBJECTIVE: To assess the main work-related determinants of high exposure to psychosocial risk factors among Portuguese employees in the hospital setting. METHODS: Between May and July 2014, 399 employees of a public hospital completed a structured questionnaire. Psychosocial factors were assessed by the Portuguese medium length version of the Copenhagen Psychosocial Questionnaire.Age and gender adjusted odds ratios (OR) and 95% confidence intervals (95%CI) were computed by logistic regression models. RESULTS:The highest psychosocial risks emerged in the personality (53.8%), workplace demands (28.1%), and social relationships and leadership (24.4%) categories. Professionals with non-health care roles presented a higher risk in the workerwork interface (OR = 2.60;95%CI:1.02-6.62), that evaluated work insecurity, satisfaction and the work-family interface. Shift workers were exposed to a higher psychosocial risk in workplace demands (

This paper presents and discusses a methodology for the calculation of efficient prices on distribution network tariffs. Tariffs should reflect costs and assure the absence of cross subsidies between clients.

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Energy consumption depends on various factors, such as equipment's energy efficiency, comfort level, consumer's behaviour and income. Equipment's efficiency and consumer's behaviour are crucial to achieve energy savings. The present paper focuses on the relation between energy savings and consumer's behaviour. For the majority of demand side management measures, energy savings obtained are affected by behavioural factors, introduced by the consumers. The Portuguese Energy Services Regulatory Authority (ERSE) has developed a competitive mechanism for promoting efficiency in electricity consumption called PPEC (Demand-side Electricity Efficiency Plan). In this plan, energy efficiency measures, promoted by suppliers, network operators, consumers and energy agencies, etc, are evaluated and ranked by merit order. The merit of each measure is defined by a cost-benefit analysis. A methodology to consider the behavioural factors in the merit analysis of energy efficiency measures is presented in the paper.

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