Dataset for estimation of muscle Dysmorphia in individuals from Colombia
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Título: | Dataset for estimation of muscle Dysmorphia in individuals from Colombia |
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Autor/es: | Kuzmar, Isaac | Consuegra, José Rafael | Jiménez, Jezael | López, Einer | Hernández, José | Noreña-Peña, Ana |
Grupo/s de investigación o GITE: | Enfermería y Cultura de los Cuidados (EYCC) | Grupo de Investigación en Alimentación y Nutrición (ALINUT) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Enfermería |
Palabras clave: | Body dysmorphic disorder | Food supplement | Obesity | Overweight |
Área/s de conocimiento: | Enfermería |
Fecha de publicación: | ago-2020 |
Editor: | Elsevier |
Cita bibliográfica: | Data in Brief. 2020, 31: 105967. doi:10.1016/j.dib.2020.105967 |
Resumen: | This paper presents data collected through a questionnaire for the estimation of body dysmorphic disorder known as vigorexy, weight level and levels of exercise dependence in individuals from Barranquilla, Colombia who attend local gyms, based on their physical activity, food supplements eating habits, psychological pressure, and risk of muscle dysmorphia. The Data contains 8 tributes and 200 records; labelling obesity range according to WHO into normal, overweight or obesity. All data was collected in person and directly from users. This data can be used to generate scientific research and intelligent computational tools to identify the obesity level and muscle dysmorphia risk of an individual and to build recommender systems that monitor health and mental status. |
URI: | http://hdl.handle.net/10045/108051 |
ISSN: | 2352-3409 |
DOI: | 10.1016/j.dib.2020.105967 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2020 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license. (http://creativecommons.org/licenses/by/4.0/) |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1016/j.dib.2020.105967 |
Aparece en las colecciones: | INV - ALINUT - Artículos de Revistas INV - EYCC - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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Kuzmar_etal_2020_DatainBrief.pdf | 410,86 kB | Adobe PDF | Abrir Vista previa | |
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