[Sentiments in the COVID-19 crisis communication of German authorities and independent experts on Twitter : A sentiment analysis for the first year of the pandemic]. / Emotionalität in der COVID-19-Krisenkommunikation von Behörden und unabhängigen Expert*innen auf Twitter : Eine Sentiment-Analyse für das erste Pandemiejahr.

BACKGROUND: At the beginning of the COVID­19 pandemic in Germany, there was great uncertainty among the population and among those responsible for crisis communication. A substantial part of the communication from experts and the responsible authorities took place on social media, especially on Twitter. The positive, negative, and neutral sentiments (emotions) conveyed there during crisis communication have not yet been comparatively studied for Germany. STUDY AIM: Sentiments in Twitter messages from various (health) authorities and independent experts on COVID­19 will be evaluated for the first pandemic year (1 January 2020 to 15 January 2021) to provide a knowledge base for improving future crisis communication. MATERIAL AND METHODS: From n = 39 Twitter actors (21 authorities and 18 experts), n = 8251 tweets were included in the analysis. The sentiment analysis was done using the so-called lexicon approach, a method within the social media analytics framework to detect sentiments. Descriptive statistics were calculated to determine, among other things, the average polarity of sentiments and the frequencies of positive and negative words in the three phases of the pandemic. RESULTS AND DISCUSSION: The development of emotionality in COVID­19 tweets and the number of new infections in Germany run roughly parallel. The analysis shows that the polarity of sentiments is negative on average for both groups of actors. Experts tweet significantly more negatively about COVID­19 than authorities during the study period. Authorities communicate close to the neutrality line in the second phase, that is, neither distinctly positive nor negative.

The Spread of COVID-19 Crisis Communication by German Public Authorities and Experts on Twitter: Quantitative Content Analysis.

BACKGROUND: The COVID-19 pandemic led to the necessity of immediate crisis communication by public health authorities. In Germany, as in many other countries, people choose social media, including Twitter, to obtain real-time information and understanding of the pandemic and its consequences. Next to authorities, experts such as virologists and science communicators were very prominent at the beginning of German Twitter COVID-19 crisis communication. OBJECTIVE: The aim of this study was to detect similarities and differences between public authorities and individual experts in COVID-19 crisis communication on Twitter during the first year of the pandemic. METHODS: Descriptive analysis and quantitative content analysis were carried out on 8251 original tweets posted from January 1, 2020, to January 15, 2021. COVID-19-related tweets of 21 authorities and 18 experts were categorized into structural, content, and style components. Negative binomial regressions were performed to evaluate tweet spread measured by the retweet and like counts of COVID-19-related tweets. RESULTS: Descriptive statistics revealed that authorities and experts increasingly tweeted about COVID-19 over the period under study. Two experts and one authority were responsible for 70.26% (544,418/774,865) of all retweets, thus representing COVID-19 influencers. Altogether, COVID-19 tweets by experts reached a 7-fold higher rate of retweeting (t8,249=26.94, P<.001) and 13.9 times the like rate (t8,249=31.27, P<.001) compared with those of authorities. Tweets by authorities were much more designed than those by experts, with more structural and content components; for example, 91.99% (4997/5432) of tweets by authorities used hashtags in contrast to only 19.01% (536/2819) of experts' COVID-19 tweets. Multivariate analysis revealed that such structural elements reduce the spread of the tweets, and the incidence rate of retweets for authorities' tweets using hashtags was approximately 0.64 that of tweets without hashtags (Z=-6.92, P<.001). For experts, the effect of hashtags on retweets was insignificant (Z=1.56, P=.12). CONCLUSIONS: Twitter data are a powerful information source and suitable for crisis communication in Germany. COVID-19 tweet activity mirrors the development of COVID-19 cases in Germany. Twitter users retweet and like communications regarding COVID-19 by experts more than those delivered by authorities. Tweets have higher coverage for both authorities and experts when they are plain and for authorities when they directly address people. For authorities, it appears that it was difficult to win recognition during COVID-19. For all stakeholders studied, the association between number of followers and number of retweets was highly significantly positive (authorities Z=28.74, P<.001; experts Z=25.99, P<.001). Updated standards might be required for successful crisis communication by authorities.

Associations of dietary indices with biomarkers of dietary exposure and cardiovascular status among adolescents in Germany.

BACKGROUND: Adolescence is an important life stage for the development of dietary preferences and health behaviour. Longitudinal studies indicated that cardiovascular status in adolescence predicts cardiovascular risk marker values in adulthood. Several diet quality indices for adolescents have been developed in the past, but literature concerning associations between indices and biomarkers of dietary exposure and cardiovascular status is rather sparse. Hence, the aim of this study was to analyse associations of dietary indices with biomarkers of dietary exposure and cardiovascular status. METHODS: For the present analysis, data from the German Health Interview and Examination Survey for Children and Adolescents (KiGGS 2003-2006) were used. The analysis included 5,198 adolescents, aged 12 to 17 years. The Healthy Food Diversity Index (HFD), the Healthy Nutrition Score for Kids and Youth (HuSKY), the Indicator Food Index (IFI) and a simple fruit/vegetable intake index were derived from food frequency questionnaire information to indicate a healthy diet. Adjusted mean values for homocysteine, uric acid, CRP, total cholesterol, HDL-C, ferritin, HbA1c, folate, vitamin B12 and BMI were calculated using complex-samples general linear models for quintiles of the different indices. Furthermore, the agreement in ranking between the different indices was calculated by weighted kappa. All statistical analyses were conducted for boys and girls separately, and were adjusted for potential confounders. RESULTS: Folate was positively associated with the HFD, the HuSKY, and fruit/vegetable intake for both boys and girls and with IFI for boys. Among girls, positive associations were seen between vitamin B12 and the IFI and between diastolic blood pressure and the IFI as well as fruit/vegetable intake. A negative association was found between homocysteine and the HFD, the HuSKY, and the IFI for both boys and girls and with fruit/vegetable intake for boys. Among boys, uric acid and HbA1c were negatively and prevalence of obesity positively associated with the IFI. CONCLUSIONS: Overall, the indices, even the simpler ones, seem to have a similar general capability in predicting biomarkers of dietary exposure. To predict risk of cardiovascular disease dietary indices may have to be more specific.

Consumer demand for personalized nutrition and functional food.

New developments in nutrigenetic research and the European regulation 1924/2006 on health claims have spurred interest in developing and marketing functional food designed for personalized nutrition. Personalized nutrition uses genetic information regarding a person's health risk profile. Specifically adapted nutrition recommendations are claimed to help reducing disease risk. An internet survey was conducted in December 2007 using a sample of 452 randomly selected adults in Germany. The survey instrument assesses if consumers would be willing to participate in genetic risk profiling, if they are interested in personalized nutrition advice and if they desire functional food products adapted to their individual nutrigenetic profile. In addition, we estimate the acceptance of functional food products designed to reduce the risk of cardio-vascular diseases. Consumers have a positive attitude towards the testing of their genetic profile to be used in nutrient advice. About 45 % of the sample would agree to such a test and like to obtain a personalized advice on nutrition. Similarly, more than 40 % of the sample showed a positive willingness to buy the proposed functional food products. Given these results, the concept of personalized nutrition seems promising. However, several challenges remain regarding targeted nutrition advice and food marketing.

A new index to measure healthy food diversity better reflects a healthy diet than traditional measures.

The recommendation to eat diverse types of foodstuffs is an internationally accepted recommendation for a healthy diet. The importance of dietary variety is based on several studies that have shown that diverse diets are accompanied by positive health outcomes. However, the definition and measurement of healthy food diversity are often criticized in the literature. Nutritional studies generally use count indices to quantify food diversity. As these measures have considerable disadvantages, several nutritionists have called for a precise definition and measurement of food diversity. This study aimed to develop a new healthy food diversity indicator. This index is based on a distribution measure mainly applied in economic and ecological studies. It considers 3 aspects important for healthy food diversity: number, distribution, and health value of consumed foods. We have validated the new index using energy-adjusted correlations with diet quality indicators. A comparison with selected traditional diversity indices revealed that the new indicator more appropriately reflected healthy food diversity.