Given the importance of the cookies of type Maria worldwide, and considering the absence of any scientific study setting out their main features, it becomes important to identify the differentiating characteristics of several commercialized brands, in particular related to the chemical, physical and sensory characteristics. In this way, the aim of this work was to study and compare eight different brands of cookies of type Maria. The elemental chemical analysis (moisture, ash, protein, fat, fibre and carbohydrates contents), determination of physical parameters (volume, density, texture and colour) and sensory evaluation of studied cookies were performed. Multivariate statistical methods (Pearson correlation, principal component analysis and cluster analysis) were applied to estimating relationships in analysed data. The results for the elemental analysis showed that the samples were very similar in terms of some components, like for example ashes, while quite different in terms of other components, such as moisture and fat contents. With respect to texture and colour the samples showed, in general, some important differences. In terms of sensory evaluation, the sample C was the one that in most sensory tests gathered the preference of the panellists. The cluster analysis showed that the sample A was much different from the other samples. The results of principal component analysis showed that the main component explains 32.6 % of the total variance, and is strongly related to variables associated to colour.

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BACKGROUND: Diet and nutrition are major determinants of public health and are associated with a large number of diseases. Therefore, in order to plan actions to promote global health it is crucial to understand people's food choices.OBJECTIVE: The aim of this study was the development and validation of a new instrument, a questionnaire to measure psycho-social motivations associated with food choices and eating practices. METHODS:A descriptive cross-sectional study was undertaken on a non-probabilistic sample of 382 adult participants. The questionnaires were applied after informed consent only to adults (aged 18 or over) and the data were collected from January to April 2017 among the Portuguese population. The analysis has been conducted to explore the item-item correlation and the reliability of this new instrument. RESULTS:The results indicated satisfactory correlations between the items of the different variables, except for Variable D (Social and cultural motivations) that did not show strong and significant correlations for almost any items. Considering all the items in each of the variables studied, Cronbach's alpha values ranged from 0.32 for the marketing and commercial motivations to 0.64 for the economical and availability motivations. When some items were removed from the variables, the values of Cronbach's alpha increased and ranged from 0.66 for social and cultural motivations to 0.78 for health, environmental and political motivations, and for marketing and commercial motivations.CONCLUSION: This work suggested that this questionnaire could be considered a suitable tool for exploring food choice determinants.

Many aspects linked to personal characteristics, society and culture constitute some of the motivators that drive food choice. The aim of this work was to determine in what extent the eating behaviors of individuals are shaped by six different types of determinants, namely: health, emotions, price and availability, society and culture, environment and politics, and marketing and commercials. This is a descriptive cross-sectional study, involving a non-probabilistic sample of 11,960 participants from 16 countries. The objective of this work was to validate the questionnaire, so as to make it suitable for application in different contexts and different countries. For that, six scales were considered for validation by confirmatory factor analysis with structural equation modelling. The obtained results showed that the six individual scales evaluated presented good or very good fitting indices, with saturation in goodness-of-fit index in all cases. The values of chi-square ratio were 6.921 (for health), 0.987 (environment), 0.610 (emotions) and 0.000 in the remaining cases (convenience, society, marketing). Furthermore, the fit was perfect, with saturation for all indices, in three of the six models (convenience, society and marketing). The results of this wok allowed the validation of the six scales, and the assessing of different types of factors that can influence food choices and eating behaviors, namely in the categories: health, emotions, price and availability, society and culture, environment and politics, and marketing and commercials.