Prevalence and predictors of food insecurity among university students - Results from the Justus Liebig University Giessen, Germany.

This study aimed to assess the prevalence and associated factors of food insecurity (FI) among university students in Germany during the COVID-19 pandemic. We conducted a cross-sectional study (n = 626) between November and December 2021 at the Justus Liebig University in Giessen, Germany, using an online questionnaire. The analysis of FI was based on the Food Insecurity Experience Scale (FIES) by the Food and Agriculture Organization (FAO). We statistically validated our data using the Rasch model. Moreover, demographic, socio-economic and educational variables were collected using a questionnaire developed by the Food Insecurity among European University Students during the COVID-19 Pandemic (FINESCOP) consortium. Overall, 27.5 % of the university students are food insecure. The proportion of university students experiencing moderate or severe food insecurity (FImod+sev) is 10.4 % and the proportion experiencing severe food insecurity (FIsev) 0.9 %. Results from a logistic regression showed that students have a higher chance to be food insecure if they were not born in Europe and if their parents have a secondary or lower educational level. We further found an association between age and FI. Also receiving a student loan during the pandemic and getting food assistance increased the likelihood of being food insecure. Our results show that FI is prevalent among this particularly vulnerable population group. Thus, public health, as well as policy efforts may need to become more target group-specific in accordance with the identified circumstances and specific characteristics to avoid that university students suffer from FI.

Review of a priori dietary quality indices in relation to their construction criteria.

A multitude of indices measure the healthiness of dietary patterns. Because validation results with respect to health outcomes do not sufficiently facilitate the choice of a specific dietary quality index, the decision of which index to use for a particular research objective should be based on other criteria. This review aims to provide guidance on which criteria to focus upon when choosing a dietary index for a specific research question. A review of 57 existing specifications of dietary quality indices was conducted, taking explicitly into account relevant construction criteria explicated in the Organisation for Economic Co-operation and Development handbook on constructing composite indicators. Index construction choices regarding the following criteria were extracted: theoretical framework, indicator selection, normalization and valuation functions, and aggregation methods. Preferable features of dietary indices are discussed, and a summarizing toolbox is provided to help identify indices with the most appropriate construction features for the respective study aim and target region and with regard to the available database. Directions for future efforts in the specification of new diet quality indices are given.

Economic growth and the demand for dietary quality: Evidence from Russia during transition.

The increasing incidence of nutrition-related chronic diseases worldwide has raised people's awareness of dietary quality. Most existing studies on the topic of changing nutrition patterns measure dietary quality by single macronutrient indicators or anthropometric outcomes. However, such an approach is often too narrow to provide a picture of overall dietary quality and is sometimes even misleading. This study contributes to the existing literature by taking into account that the analysis of dietary quality comprises two dimensions: the adequate intake of vitamins and minerals, as well as the moderate intake of nutrients that increase the risk of chronic diseases. Thereby, we apply Grossman's health investment model to the analysis of the demand for dietary quality, explicitly addressing the different dimensions of dietary quality and the intertemporal character of health investments. We apply our approach to Russia using data from the Russia Longitudinal Monitoring Survey from 1996 to 2008. Our results show that intake levels of vitamins and minerals as well as saturated and total fatty acids increased after 1998 along with economic recovery, while the intake of fiber decreased. Our econometric results imply an income elasticity of vitamins and minerals of 0.051, and an income elasticity of fats of 0.073. Overall, our results are in line with an ongoing nutrition transition in the Russian Federation, which is marked by decreasing deficiencies in vitamins and minerals, as well as the increasing consumption of fats with its accompanying negative health consequences.