Food disgust sensitivity predicts disease-preventing behaviour beyond the food domain in the COVID-19 pandemic in Germany

The effect of the COVID-19 pandemic on disgust sensitivity in a sample of UK adults

The COVID-19 pandemic led to the introduction of a range of infection prevention and control (IPC) measures that resulted in dramatic changes in people's lives however these IPC measures are not practiced consistently across the population. One predictor of an individual's responses to the pandemic is disgust sensitivity. Understanding how disgust sensitivity varies within the population could help to inform design of public health messages to promote more uniform behavioral change during future pandemics. To understand the effect of the current COVID-19 pandemic on an individual's pathogen disgust sensitivity we have compared pathogen disgust sensitivity during the current COVID-19 pandemic to baseline pathogen disgust sensitivity, determined prior to the COVID-19 pandemic, in the same sample of UK adults. We find that the COVID-19 pandemic did not alter overall pathogen disgust sensitivity suggesting that disgust sensitivity is stable despite IPC measures, public health messaging, media coverage and other factors associated with the COVID-19 pandemic.

How did the COVID-19 pandemic influence health-related behaviour? An online survey on food choice, physical activity and changes in body weight among Swiss adults

The COVID-19 pandemic has affected all aspects of our everyday lives. To investigate these behaviour changes, an online survey was conducted with 1'028 individuals (51% female) in Switzerland between June and July 2020. The questions referred in particular to the lockdown in spring 2020. We put specific focus on the pandemic's impact on health-related behaviour, which includes food choice, physical activity and body weight management. For instance, participants reported whether and how their consumption of different foods changed during the lockdown. As a measure of healthy food choice, we chose consumption of vegetables and salad and in contrast, sweet snacks and alcohol consumption was used as a measure for unhealthy food choice. For physical activity and body weight, participants indicated whether it decreased, increased or did not change during the lockdown as compared before. In a next step, we investigated the influence of various predictors on health-related behaviour using multinomial logistic regression models. We find that the possibility to work remotely led to healthier food choices, that is, a reported increase in vegetable consumption and decrease in sweet snack consumption, but also to more unhealthy food choices and lifestyles, that is, a reported increase in alcohol consumption as well as an increase in sweet snack consumption. For weight change, the data indicated that individuals who worked remotely were more likely to gain or lose weight than individuals working from the office. Our findings demonstrate how individuals are affected differently by the pandemic and how complex the whole picture is. Further, these results are crucial in developing health recommendations for possible future lockdowns or health crises in general.

Determinants of the decision to build up excessive food stocks in the COVID-19 crisis

In 2020, the first COVID-19 lockdowns resulted in food panic buying and excessive food stockpiling across many countries around the world. Many governments recommend keeping emergency food stocks for three to ten days for times of potential shortages in food supply. Based on data from an online survey conducted among Swiss inhabitants, we investigated the effect of knowledge level and stockpiling behaviour according to governmental stockpiling recommendations in normal times on the decision to build up more food stocks than usual during the first lockdown in 2020. For this purpose, we applied a combination of latent class analysis and logistic regression. Latent classes were constructed based on knowledge level and stockpiling behaviour according to governmental stockpiling recommendations in normal times. Subsequently, the information on class membership was used as predictor of the decision to excessively stockpile food during the first lockdown. The variable "class membership" revealed that respondents with a low knowledge level and food stocks below governmental recommendations in normal times had a 7.6 percentage points lower probability of excessively stockpiling food during the first lockdown than respondents with a high knowledge level and recommended food stocks in normal times. Excessive stockpiling was additionally driven by the worry that certain food products would disappear from the supermarket shelves entirely or would be in short supply. Moreover, regression results revealed that respondents who reduced their shopping frequency during the first lockdown in 2020 showed a higher probability of building up more food stocks than usual. Our findings are crucial for food suppliers and policymakers to understand the drivers of panic buying and to prevent this phenomenon in future crises.