Emotion can reflect in the perception of food consumption. An increase in food intake during emotional and psychological conditions may have a negative impact on human health. The aim of this cross-sectional study was to determine the associations between food consumption, emotional eating behavior, and emotional conditions such as stress, depression, loneliness, boredom eating, maintaining vigilance and alertness, and emotional food consolation. We used a Motivations for Food Choices Questionnaire (Eating Motivations, EATMOT) to determine the emotional aspects of food consumption in 9052 respondents living in 12 European countries between October 2017 and March 2018. Ordinal linear regression was used to identify the associations between the emotional eating behavior and emotional conditions such as stress, depression, loneliness, emotional consolation, and reasons to improve physical and psychological conditions. The regression models confirmed the associations between food consumption, emotional conditions, and emotional eating behavior. Associations were found between the emotional eating behavior and stress (odds ratio (OR) = 1.30, 95% confidence interval (CI) = 1.07–1.60, p = 0.010), depressive mood (OR = 1.41, 95% CI = 1.40–1.43, p < 0.001), loneliness (OR = 1.60, 95% CI = 1.58–1.62, p < 0.001), boredom (OR = 1.37, 95% CI = 1.36–1.39, p < 0.001), and emotional consolation (OR = 1.55, 95% CI = 1.54–1.57, p < 0.001). Emotional eating was associated with an effort to improve physical and psychological conditions, such as controlling body weight (OR = 1.11, 95% CI = 1.10–1.12, p < 0.001), keeping awake and alert (OR = 1.19, 95% CI = 1.19–1.20, p < 0.001) and consumption to feel good (OR = 1.22, 95% CI = 1.21–1.22, p < 0.001). In conclusion, emotions might provoke emotional eating behavior. The appropriate way to handle stress, depression, or other emotional states is important in conditions of being emotionally overwhelmed. The public should be educated on how to handle different emotional states. The focus should be moved somehow from emotional eating and the consumption of unhealthy food to healthy lifestyle practices, including regular exercise and healthy eating habits. Thus, it is necessary to halt these negative health effects on human health through public health programs.

Background: Social environment and type of care may influence mental health in late life. The aim of this study was to assess the associations between depression, anxiety, and self-esteem in older people. Methods: The study evaluated mental health in people older than 65 years of age in Zadar County, Croatia. The participants were interviewed using the Patient Health Questionnaire, the Generalized Anxiety Disorder Scale, and the Rosenberg Self-Esteem Scale. Multiple linear regressions were used to assess the correlations between depression, anxiety, and self-esteem. Results: Compared with elderly people living in their own homes, elderly people in nursing homes reported lower self-esteem, higher depression, and higher anxiety. The level of self-esteem decreased with increased levels of depression. Anxiety was significantly associated with depression, while depression strongly increased with an increase in anxiety. Older age was associated with depression, while widowhood was a negative predictor of self-esteem. Institutionalization was borderline significantly associated with anxiety, while gender was associated with anxiety. Conclusions: The study found associations between self-esteem, anxiety, and depression in the elderly. The strategy of humanization in nursing care for older people should be applied equally in nursing homes and in community-dwelling states. Public health programs aimed at maintaining the mental health of older people are needed.

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.

Introduction: The objective was to develop and validate an instrument that measures different determinants of people’s food choices and simultaneously accounts for a variety of factors: health, emotions, price and availability, society and culture, environment and politics, and marketing and advertising. Methods: This is a cross-sectional study focusing on food choice determinants. It was carried out in 16 countries in 2017 and 2018. This study included 11,960 volunteer adult participants from different countries. The data was validated using Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM). Results: Validation using CFA with SEM revealed that multi-factor modelling produced first- and second-order models that could be used to define the EATMOT scale, the first presenting better fitting indices, with the goodness-of-fit and comparative-fit indices very close to 1, as well as root-mean-square-error-of-approximation, root-mean-square-residual and standardised-root-mean-square-residual at practically zero. Conclusion: The validated EATMOT scale guarantees confidence in the information obtained through this instrument, and can be used in future studies to better understand food choice determinants in different geographical areas and help plan strategies to improve healthy eating patterns and diminish the burden of non-communicable diseases.