12/29/2023 0 Comments Matilde conejero![]() A chatbot is a conversation platform that interacts with users via a chatting interface. Moreover, for a wide variety of conditions and networks, Bahr et al showed that individuals with similar BMIs would cluster together into groups.įurthermore, chatbots, also referred to as conversational user interfaces, are gradually being adopted in mobile health (mHealth) apps and serve to assess the long-term user experience. A person's chances of becoming obese increased by 57% if he or she had a friend who became obese in a given interval. Indeed, the relevant finding in the study suggests that ties between friends have an even more significant effect on a person's risk of obesity than genes. From a social perspective, Fowler and Christakis conducted a study about the spread of obesity in a large social network over 32 years (Framingham Heart Study) and found evidence of the “contagion” of obesity among people in close social circles. Obesity is a complex problem with individual, socioeconomic, and environmental factors. According to the World Health Organization, in Europe, more than 50% of the population is overweight, and 20% is obese. In the United States, more than two-thirds of adults and nearly one-third of children and youth are overweight or obese. The percentage of overweight people has not stopped increasing worldwide since the 1980s. Besides, the chatbot allows the connection of users in a social network to study overweight and obesity causes from both individual and social perspectives. Moreover, we were able to create a social network with 74 users, 178 relations, and 12 communities.Ĭonclusions: The Telegram chatbot Wakamola is a feasible tool to collect data from a population about sociodemographics, diet patterns, physical activity, BMI, and specific diseases. People walked 10 minutes on 5.8 days per week, slept 7.02 hours per day, and were sitting 30.57 hours per week. The most consumed foods were olive oil, milk and derivatives, cereals, vegetables, and fruits. The mean BMI was 21.4 kg/m 2 (normal weight). Of 74 participants who completed all sections, we found 8 underweight people (11%), 5 overweight people (7%), and no obesity cases. We performed a pilot to evaluate the chatbot implementation among 85 healthy volunteers. We defined a user's status score as a normalized sum (0-100) of scores about diet (frequency of eating 50 foods), physical activity, BMI, and social network. Based on this research, we developed a Telegram chatbot named Wakamola structured in six sections: personal, diet, physical activity, social network, user's status score, and project information. Results: We collected 452 answers to the survey and interviewed 4 specialists. Finally, we conducted a pilot study to test feasibility. We then designed and developed a chatbot. Methods: We first studied the users’ needs and gathered users’ graphical preferences through an open survey on 52 wireframes designed by 150 design students it also included questions about sociodemographics, diet and activity habits, the need for overweight and obesity apps, and desired functionality. Objective: This study reports the user-centered design and feasibility study of a chatbot to collect linked data to support the study of individual and social overweight and obesity causes in populations. Simultaneously, chatbots are becoming increasingly popular as a way to interact with users in mobile health apps. Instituto de Tecnologías de la Información y ComunicacionesĮmail: Obesity and overweight are a serious health problem worldwide with multiple and connected causes. ![]() JMIR Bioinformatics and Biotechnology 23 articles.JMIR Biomedical Engineering 61 articles.JMIR Perioperative Medicine 69 articles.Journal of Participatory Medicine 71 articles. ![]() JMIR Rehabilitation and Assistive Technologies 177 articles.JMIR Pediatrics and Parenting 230 articles.Interactive Journal of Medical Research 259 articles.JMIR Public Health and Surveillance 964 articles.Journal of Medical Internet Research 6898 articles.
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