Referring to health as ‘complex problem’ urging transdisciplinary research perspectives at present, hereby we present a research-based project addressing health literacy and obesity prevention through the interdisciplinary paradigm of telemedicine including medicine, education, biomedicine and computer science, with the aim to develop best practices and an educational competency model for obesity prevention and health promotion. Through an AI-based and patient-centered e-health framework, the project provides a holistic and sustainable approach to health literacy involving children and families in best practices on obesity and engaging in empowerment processes of psychosocial development, meant to support an independent and positive attitude through experiential learning within the salutogenic perspective. Objective is promotion of life-long capacities of informed decision and self-care in primary and secondary prevention settings, qualifying health education as active citizenship education meant to promote knowledge and participation of the person in the context according to a community-based approach with aim of well-being and quality of life. The present study constitutes a first working basis for experimenting telemedicine in healthcare and school settings. We present an exploratory research conducted with students of Educational Sciences and Psychology aimed at investigating preliminarily social impact of weight-bias and eating disorders and students’ involvement in an educational competency models to promote healthy lifestyles and wellbeing. The first results highlighted strong connections between educational and clinical knowledge as urgent need to build more inclusive school and social systems and the emergence of new need of digital citizenship addressing the person’s active participation in new digital health systems, made by health apps and medical devices, going from everyday wearables to telemedicine sensors.

A Competency Model for Obesity Prevention and Healthy Lifestyles Education through the Interdisciplinary and Sustainable Paradigm of Telemedicine

Massaro, S.
;
Perla, L.
2021-01-01

Abstract

Referring to health as ‘complex problem’ urging transdisciplinary research perspectives at present, hereby we present a research-based project addressing health literacy and obesity prevention through the interdisciplinary paradigm of telemedicine including medicine, education, biomedicine and computer science, with the aim to develop best practices and an educational competency model for obesity prevention and health promotion. Through an AI-based and patient-centered e-health framework, the project provides a holistic and sustainable approach to health literacy involving children and families in best practices on obesity and engaging in empowerment processes of psychosocial development, meant to support an independent and positive attitude through experiential learning within the salutogenic perspective. Objective is promotion of life-long capacities of informed decision and self-care in primary and secondary prevention settings, qualifying health education as active citizenship education meant to promote knowledge and participation of the person in the context according to a community-based approach with aim of well-being and quality of life. The present study constitutes a first working basis for experimenting telemedicine in healthcare and school settings. We present an exploratory research conducted with students of Educational Sciences and Psychology aimed at investigating preliminarily social impact of weight-bias and eating disorders and students’ involvement in an educational competency models to promote healthy lifestyles and wellbeing. The first results highlighted strong connections between educational and clinical knowledge as urgent need to build more inclusive school and social systems and the emergence of new need of digital citizenship addressing the person’s active participation in new digital health systems, made by health apps and medical devices, going from everyday wearables to telemedicine sensors.
2021
978-88-944888-7-6
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/378054
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact