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- Prevalence of malnutrition among Portuguese elderly living in nursing homes : preliminary results of the PEN-3S projectPublication . Madeira, Teresa; Plácido, Catarina Peixoto; Santos, Nuno; Santos, Osvaldo; Bergland, Astrid; Bye, Asta; Lopes, Carla; Alarcão, Violeta; Goulão, Beatriz; Mendonça, Nuno; Nicola, Paulo Jorge Morais Zamith; Gorjão Clara, João Pedro PereiraBackground: Malnutrition is a modifiable risk factor for several diseases among elderly. To develop appropriate nutrition policies to decrease malnutrition, up-to-date information on the dimension of the problem is warranted. Objective: To estimate the prevalence of malnutrition among Portuguese elderly (65+ years old) resident in nursing homes.
- The portuguese self-administered computerised 24-hour dietary recallPublication . Carvalho, M. A.; Rito, A.; Pereira Miguel, JoséRationale: Measuring the diets of school-aged children is a challenging process. Technology offers the opportunity to automate more accurate methods of dietary assessment, making them less expensive, easier to use and an alternative to nutritionist interviews.
- Understanding male (con)tradi(c)tions through an in-depth interview studyPublication . Alarcão, Violeta; Beato, Ana; Roxo, Luis; Miranda, Filipe Leão; Carreira, Mário; Galvão-Teles, AlbertoThis study aims to explore the diversity of male attitudes towards, and experiences of, sexual problems in the context of their relationships, through a qualitative approach on the historically and culturally specific patterns of change in sexual pleasures and experiences over the life course.
- P2K07 Competencies on epidemiological research : methodological details of an ongoing national study about training and education needsPublication . Fernandes, Milene; Souto, Diana; Areias, Cristiana; Freitas, Ana; Santos, Osvaldo; Nicola, Paulo Jorge Morais Zamith
- Waste treatment by an Incinerator : what about health-related quality of life?Publication . Reis, Maria de Fátima; Santos, Osvaldo; Gomes, Paula; Aniceto, Pedro; Aguiar, Pedro; Melim, Maurício; Cardoso, Liliana; Pereira Miguel, José
- On cluster analysis of complex and heterogeneous dataPublication . Bacelar-Nicolau, Helena; Nicolau, Fernando C.; Sousa, Áurea; Bacelar-Nicolau, LeonorCluster analysis or "unsupervised" classification (from "unsupervised learning", in pattern recognition literature) usually concerns a set of exploratory multivariate data analysis methods and techniques for grouping either statistical data units or variables into groups of similar elements, that is finding a clustering structure in the data. Classical clustering methods usually work with a set of objects as statistical data units described by a set of homogeneous (that is, of the same type) variables in a two-way framework. This paradigm can be extended in such way that data units may be either simple / first-order elements (e.g., objects, subjects, cases) or groups of / second-order or more elements from a population (e.g., subsets, samples, classes of a partition) and/or descriptive variables may simultaneously be of different (e.g., binary, multi-valued, histogram or interval) types. Therefore, one has a complex and/or heterogeneous data set under analysis. In that case classification will often be carried out by using a three-way or a symbolic/complex approach. The present work synthesizes previous methodological results and shows several developments mostly regarding hierarchical cluster analysis of complex data, where statistical data units are described by either a homogeneous or a heterogeneous set of variables. We will illustrate that approach on a case study issued from the statistical literature. The methodology has been applied with success in a data mining context, concerning multivariate analysis of real-life data bases from economy, management, medicine, education and social sciences.
- The development and validation of a novel computer program to assess food and nutrition intake in Portuguese schoolchildrenPublication . Carvalho, Maria Ana; Pereira Miguel, José; Santos, Osvaldo; Rito, AnaFood and nutrition are important determinants of noncommunicable diseases such as childhood obesity which is a public health priority1-3. Portugal has shown one of the highest and accelerated increasing rates of childhood obesity in European Union, with an estimated prevalence of overweight of 37,9% and 15,3% of obesity (WHO criteria). Understanding how to prevent it remains a research question. However the design of potentially effective interventions is hampered by the general lack of good-quality data available. There is no validated methodology available to assess food and nutrition intake in schoolage Portuguese children (Figure 1). The purpose of this study is to develop and validate, for the first time in Portugal, a novel engaging method of assessing food and nutrition intake of schoolage Portuguese children.