Analysis of addiction craving onset through natural language processing of the online forum Reddit.

Aims: Alcohol cravings are considered a major factor in relapse among individuals with alcohol use disorder (AUD). This study aims to investigate the frequency and triggers of cravings in the daily lives of people with alcohol-related issues. Large amounts of data are analyzed with Artificial Intelligence (AI) methods to identify possible groupings and patterns.

Characterization of adults concerning the use of a hypothetical mHealth application addressing stress-overeating: an online survey.

Background: About 40% of people respond to stress by consuming more unhealthy foods. This behavior is associated with increased energy intake and the risk of obesity. As mobile health (mHealth) applications (apps) have been shown to be an easy-to-use intervention tool, the characterization of potential app users is necessary to develop target group-specific apps and to increase adherence rates.

Stress eating: an online survey of eating behaviours, comfort foods, and healthy food substitutes in German adults.

Background: In many people, stress is associated with changes in eating behaviour. Food products consumed during stress (comfort foods) are often unhealthy. It is rather unknown what comfort foods are consumed in Germany and what healthier food products are considered as alternatives to support stress-eaters in making healthier food choices.

Stress-induced hyperphagia: empirical characterization of stress-overeaters.

Background: Stressful situations can have an impact on an individual's eating behavior. People vulnerable to the influence of stress tend to change the quantity and quality of their food intake. Variables such as sex and body mass index (BMI) seem to be related to this stress-eating behavior, but it is rather unclear what factors account to the parameters associated with stress-eating behavior.

Bias and comparison framework for abusive language datasets.

Recently, numerous datasets have been produced as research activities in the field of automatic detection of abusive language or hate speech have increased. A problem with this diversity is that they often differ, among other things, in context, platform, sampling process, collection strategy, and labeling schema. There have been surveys on these datasets, but they compare the datasets only superficially.

Serious Games for Nutritional Education: Online Survey on Preferences, Motives, and Behaviors Among Young Adults at University.

Background: Data on nutritional information and digital gameplay are limited among young adults in Germany.

Objective: This survey aimed to gather data on nutritional information sources and digital games for nutritional education (preferences, motives, and behaviors) among young adults at both Munich universities in Germany.

Methods: An online survey was developed by an multidisciplinary research group using EvaSys, an in-house survey software.

Short-Term Effects of the Serious Game "Fit, Food, Fun" on Nutritional Knowledge: A Pilot Study among Children and Adolescents.

"Serious games" are a novel and entertaining approach for nutritional education. The aim of this pilot study was to evaluate the short-term effectiveness of "Fit, Food, Fun" (FFF), a serious game to impart nutritional knowledge among children and adolescents. Data collection was conducted at two secondary schools in Bavaria, Germany.

Digital Gaming for Nutritional Education: A Survey on Preferences, Motives, and Needs of Children and Adolescents.

Background: Use of novel information and communication technologies are frequently discussed as promising tools to prevent and treat overweight and obesity in children and adolescents.

Objective: This survey aims to describe the preferences, motives, and needs of children and adolescents regarding nutrition and digital games.

Methods: We conducted a survey in 6 secondary schools in the southern region of Germany using a 43-item questionnaire.