Renata Melo Oliveira

Abstract

Abstract
Aim: We investigated the demographic, anthropometric, clinical, biochemical and behavioural factors associated with children and adolescents who missed breakfast. Methods: This 2012 cross-sectional study was carried out in the city of Juiz de Fora, Brazil, with a sample of 684 students: 191 children aged 7-9 and 493 adolescents aged 10-14. Data on demographic, physical activity and breakfast consumption were based on a 24-hour recall record and a three-day dietary record. Weight, height, body fat, waist circumference and blood pressure were also measured. Finally, samples were collected for analysis of blood total cholesterol, low-density and high-density lipoproteins, triglycerides and glucose. The statistics are presented as prevalence ratios (PR) with 95% confidence (95% CI) intervals. Results: Missing breakfast was more common among adolescents than children (30% versus 22%) and among girls of all ages than among boys (33% versus 22%). It was also associated with children, but not adolescents, with increased levels of diastolic blood pressure (PR 5.6, 95% CI 1.8-17.4), total cholesterol (PR 1.5, 95% CI 1.2-1.9) and low-density lipoprotein (PR 2.1, 95% CI 1.5-2.9). Conclusion: Missing breakfast was more common among adolescents and females and associated with increased levels of diastolic blood pressure, total cholesterol and low-density lipoprotein in children.

Abstract
Assessing eco-efficiency of companies is important to ensure the creation of wealth without compromising the needs of future generations. This work aims to extend the eco-efficiency concept by including in the assessment new features related to environmental benefits and environmental burdens. This concept is implemented using an innovative Directional Distance Function model, which searches for improvements in the magnitude of the indicators and in the composition of the resources consumed. This framework can help firms to become more sustainable by replacing non-renewable inputs with "greener" alternatives. We present an empirical application to large mining companies. Different scenarios regarding managerial priorities for adjustments to firms' economic and environmental indicators are explored. The results obtained and their managerial implications are discussed in the context of mining firms activity.

Abstract
Assessing firms' Eco-efficiency is important to ensure they succeed in creating wealth without compromising the needs of future generations. This work aims to extend the Eco-efficiency concept by including in the assessment new features related to environmental benefits. Eco-efficiency is evaluated using a DEA model specified with a Directional Distance Function. The new methodology proposed in this paper is illustrated with an application to world-class mining companies, whose results and managerial implications are discussed.

Abstract