How the Wakamola chatbot studied a university community's lifestyle during the COVID-19 confinement
| Autor: | Vicent Blanes-Selva, Juan M. García-Gómez, Sabina Asensio-Cuesta, J. Alberto Conejero, Manuel Portolés |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Adult
Male Universities Coronavirus disease 2019 (COVID-19) Physical activity 030209 endocrinology & metabolism Health Informatics Overweight MHealth Assessment Weight difference 03 medical and health sciences 0302 clinical medicine medicine Humans 03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades Health score 030212 general & internal medicine Obesity PROYECTOS DE INGENIERIA Exercise Life Style Body mass index Telegram University community SARS-CoV-2 business.industry COVID-19 medicine.disease Lifestyle FISICA APLICADA Female medicine.symptom business MATEMATICA APLICADA Chatbot Demography Confinement |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname |
| DOI: | 10.1177/14604582211017944 |
| Popis: | [EN] This work aimed to study the effect of confinement on weight and lifestyle using the Wakamola chatbot to collect data from 739 adults divided into two groups (341 case-control, 398 confinement). Nutrition score (0-100 scale) improved for men (medians 81.77-82.29, p The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by FONDO SUPERA COVID-19 by CRUE-Santander Bank grant "Severity Subgroup Discovery and Classification on COVID-19 Real World Data through Machine Learning and Data Quality assessment (SUBCOVERWD-19)." |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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