Food choices are determined by intrinsic and extrinsic product characteristics, biological and physiological features, psychological factors, and situational and socio-cultural factors. Self-determination theory offers the explanation of health behavior change identifying motivations located along a continuum of autonomy. Another approach to the motivations guiding health behaviors, including food choices, relies on distinguishing thematic categories. Health motivations seem to be an obvious determinant of health behaviors, but final decisions regarding health are also the effect of other types of motivations such as economic, cultural, or emotional. The role of marketing pressure in modern society is perceived to be an important source of motivation for purchasing food and other products. The Motivation–Opportunity–Ability (MOA) framework was initially proposed in order to explain the processing of brand information from advertisements and was later expanded to other areas, including health and nutritional behaviors. The aim of this study was the analysis of determinants of food choices. We have developed a common regression model including six categories of motivations addressed by the Eating Motivations Scale and three health literacy types corresponding with element of ability from the MOA framework, adjusted for socio-demographic factors, health status, and the use of the Internet and TV. The analysis was performed on data from a computer-assisted web-based interviewing (CAWI) survey among 2008 adult Internet users completed in May 2022. The uni- and multivariate linear regression models were developed with the Index of Unhealthy Food Choices (IUFC), calculated based on the responses to items asking about the frequency of the consumption of twelve food categories. Univariate modeling revealed that IUFC is significantly associated with health, food, and e-health literacies and with five out of six eating motivations. However, the multivariate regression model yielded significant associations only for eating motivations but not for the three literacy scores. Health motivation was negatively associated with IUFC (B, standard error (SE): 0.83, 0.07; 95% confidence interval (95% CI): 0.98–0.69), but positively with emotional (B, SE: 0.22, 0.04; 95% CI: 0.14–0.3), economic (B, SE: 0.41, 0.08; 95% CI: 0.25–0.56), and marketing (B, SE: 0.62, 0.08; 95% CI: 0.47–0.78) motivations. Our findings suggest that motivations guiding food choices may prevail over the element of ‘ability’ distinguished in the frameworks and models that explain people’s behaviors, including behaviors relating to health. Thus, it is essential to emphasize development of appropriate motivations and not only to provide knowledge and skills. Furthermore, one should also remember motivations other than health motivations when searching for the determinants of health behaviors.

Analogous to health literacy, food literacy can be defined as a set of cognitive and social skills associated with the ability to acquire and understand information about food and nutrition to make appropriate nutritional decisions. In the literature, several terms such as food, nutrition, or nutritional literacy are used in parallel, differing in some aspects of their meaning. Food literacy is an important measure of the effectiveness of nutritional education interventions and appropriate instruments for its measurement should be available in every society. The aim of this study was the assessment of the validity and testing of a proposed model of the Short Food Literacy Questionnaire (SFLQ) culturally adapted into Polish. The analysis was performed on data from an online survey in a representative sample of 1286 adult internet users. Exploratory (EFA) and confirmatory factor (CFA) analyses were performed on two different subsets obtained through random splitting of the initial dataset. The Polish version of the SFLQ had good internal consistency (Cronbach’s α 0.841; Guttman split-half coefficient was 0.812). The EFA revealed that the tool had a three-factor latent structure. The distinguished dimensions were ‘information accessing’, ‘knowledge’, and ‘information appraisal’. The subscales also showed acceptable internal consistency based on the values of the Cronbach’s α coefficients (ranging from 0.768 to 0.845). The CFA confirmed a good fit of the three-factor model with at least five indexes achieving acceptable levels (CFI = 0.972, GFI = 0.963, AGFI = 0.940, NFI = 0.959, and RMSEA = 0.059). The validation of the Polish version of the SFLQ revealed, contrary to earlier reports, not a single but a three-factor structure of the instrument. The SFLQ will be an important tool for the assessment of the effectiveness of educational interventions and population studies analyzing the determinants of food literacy in Poland.

Vaccine hesitancy has become a pivotal consideration in assessing society’s readiness to accept recommended vaccination programs. The role of vaccination as a preventive measure during great epidemic challenges cannot be overestimated. On the other hand, the overwhelming flow of misinformation and attitudes resulting from denialism may have a profoundly harmful effect on the acceptance of preventive interventions. The adult Vaccine Hesitancy Scale (aVHS) is a result of efforts to develop a tool that will be relevant to the views about vaccination in the general adult population. It was derived from the Vaccine Hesitancy Scale (VHS), initially developed by researchers attempting to assess the opinions and attitudes of parents. This study’s main aim was to determine the reliability and validity of the Polish version of aVHS (PL-aVHS). We have also analyzed whether the scale can feasibly predict the COVID-19 vaccination status of respondents. The analysis was performed on data originating from a computer-based web-interviewing (CAWI) survey of 2008 adult Internet users. It included the analysis of internal consistency, test-retest reliability, and hypotheses testing. Exploratory (EFA) and confirmatory factor analyses (CFA) were performed on the subsets generated by randomly splitting the initial survey data. We have found that the scale has excellent internal consistency (Cronbach α = 0.935), acceptable levels of inter-item bivariate correlations, and good test–retest reliability (interclass correlation coefficient, ICC = 0.843). The EFA revealed that the tool has a two-factor latent structure; however, similar loadings of item 10 to both factors spoke for its exclusion from the model. Two extracted factors were responsible for 68.90% of the variance after rotation based on the maximum likelihood method. The CFA showed that the best fit of the model to measurement data was obtained for the two-factor model after excluding item 10. All seven fit indexes calculated in the analysis suggested at least an acceptable fit. In conclusion, the assessment of the PL-aVHS revealed good reliability and validity of the instrument. Furthermore, we have obtained similar EFA results as reported for the English version of the tool. Finally, to our knowledge, it is one of a few tools available in Polish for the measurement of vaccine-related attitudes.

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The notion of food or nutrition literacy refers to a person's ability to acquire, understand, and process food and nutrition-related information to make appropriate nutritional decisions. The aim of this study is to present the concepts of nutrition and food literacy, to indicate the methods of their measurement and the factors determining their level, and to determine their importance. The study is based on a selective review of the literature. Food and nutrition literacy is defined as a distinct form of health literacy. The difference between food and nutrition literacy is not clearly defined. Both nutrition and food literacy can be related to the categories of health literacy proposed by Nutbeam, including functional, interactive, and critical categories. However, food literacy appears to be more complex and, as stated by many authors, it corresponds with most of Nutbeam's categories. Nutrition literacy in the literature is generally described as the category of functional literacy. The level of nutrition and food literacy depends on many factors, such as age, gender, and level of education. Several instruments are available to determine the level of food and nutrition literacy. The most popular tools are the Nutrition Literacy Scale (NLS), Nutrition Literacy Assessment Instrument (NLit), Newest Vital Sign (NVS), Electronic Nutrition Literacy Tool (e-NutLit), and Short Food Literacy Questionnaire (SFLQ). Adequate levels of food and nutrition literacy are associated with beneficial dietary choices, which may be important in the prevention of chronic non-communicable diseases. Education and health communication interventions are crucial to improve food and nutrition literacy.