Mirror Mirror on the Wall... An Unobtrusive Intelligent Multisensory Mirror for Well-Being Status Self-Assessment and Visualization

Henríquez, Pedro; Matuszewski, Bogdan J.; Andreu, Yasmina; Bastiani, Luca; Colantonio, Sara; Coppini, Giuseppe; D’Acunto, Mario; Favilla, Riccardo; Germanese, Danila; Giorgi, Daniela; Marraccini, Paolo; Martinelli, Massimo; Morales, Maria‐Aurora; Pascali, Maria Antonietta; Righi, Marco; Salvetti, Ovidio; Larsson, Marcus; Strömberg, Tomas; Randeberg, Lise Lyngsnes; Bjørgan, Asgeir; Giannakakis, Giorgos; Pediaditis, Matthew; Chiarugi, Franco; Christinaki, Eirini; Marias, Kostas; Tsiknakis, Manolis

doi:10.1109/tmm.2017.2666545

Cited by 28 publications

(9 citation statements)

References 53 publications

(51 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Structural equation modeling (SEM) by Stata/SE 13.1 was used to test the proposed model (Figure 1) (18,19). The path analysis technique applied measures to the extent that the model fitted a data set and allowed testing of interrelationships between a range of variables simultaneously.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Adolescent Health: A Framework for Developing an Innovative Personalized Well-Being Index

et al. 2020

Self Cite

View full text Add to dashboard Cite

Adolescence is not only typically considered a time of good health but also characterized by an emergence of risk factors that may have long-term consequences for wellbeing that represents strong predictors of adverse health outcomes. The aim of the study is to assess adolescence well-being through the development of an integrated Well-Being Index (WBI) including variables of lifestyle habits, social context, emotional status, and mental skills. One thousand two hundred forty-eight healthy adolescents (Female 48%; Male 52%; mean age 13 years) were recruited from five Italian junior high schools, by KIDSCREEN-52 and cognitive processing using the Stroop Test. School performance was estimated by questions concerning the scholastic achievement. Social context was the most important predictor of perceived well-being (β = 0.972, SE = 0.014, p < 0.0001), with parent relation (p < 0.0001) as the most observed variable. Subsequently, WBI was strongly represented by lifestyle habits (β = 0.954, SE = 0.017, p < 0.000) with autonomy (p < 0.0001), and emotional status (β = 0.949, SE = 0.017, p < 0.000) with psychological well-being perception (p < 0.0001). Finally, mental skills (β = −0.1417, SE = 0.031, p < 0.0.00) was the least important predictor for the WBI index (p < 0.0001). Personalised (P) WBI was obtained by the sum of each centered and scaled WBI variable, weighted by the corresponding ratio between factor loading and residual variance. Social context was the more important predictor of WBI, followed by lifestyle, emotional factors, and lastly mental skills. PWBI provides an integrated and personalized perspective of adolescents' well-being, on the basis of a cooperation between school, family, and community with the common intent to promote and protect adolescent health.

show abstract

Section: Discussionmentioning

confidence: 99%

“…Overall model fit was assessed using different statistics. (18). This choice was motivated by the moderate complexity of a linear SEM, which, despite a possible negative influence on the estimation accuracy, is advantageous with respect to overfitting issues.…”

Section: Discussionmentioning

confidence: 99%

Adolescent Health: A Framework for Developing an Innovative Personalized Well-Being Index

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…Structural equation modeling (SEM) using Stata/SE 13.1, used to test the proposed model ( Fig. 1) [14,15]. The path analysis technique used measures to the extent that the model fit a data set and allowed testing of interrelationships between several variables simultaneously.…”

Section: Discussionmentioning

confidence: 99%

A new integrated approach for adolescent health and well-being: the AVATAR project

Mastorci

Bastiani

Trivellini

et al. 2020

Health Qual Life Outcomes

Self Cite

View full text Add to dashboard Cite

Background: Limited number of studies examined the relationship between factors (lifestyle, social, emotional, cognitive) affecting adolescents' health and well-being. The aims of this study were to identify the more important variables of the different components affecting adolescents' health [lifestyle habits (LH); emotional status (ES); social context (SC); and cognitive abilities (CA)], and explore the relationship between the aforementioned components. Methods: Data were collected between 2017 and 2018 from 756 eligible students, recruited from 5 Italian junior high school, by using KIDSCREEN-52 and cognitive processing using the Stroop Test. School engagement was estimated through questions concerning the scholastic achievement. Results: Of 756 adolescents, 395 were boys with a mean (SD) age of 12.19 (0.81) years. Compared to International T-value of reference group for KIDSCREEN-52, autonomy, bullying, psychological well-being and mood were lower than the reference groups, while self-perception score was higher. For LH, the most important predictor was autonomy (p < .0001). The most important aspects in the SC were the relationship with the parents (p < .0001), and the adolescent's relationships with peers (p < .0001). For ES, mood variables had the greatest contribution (p < .0001). The School performance related to Language & Literature (p < .0001) was the most important predictor in the CA latent variable. LH was positively associated with SC (p < .0001), ES (p < .0001), and CA (p < .0001). SC was positively associated with ES (p < .0001) and with CA (p < .0001). Conclusions: This study suggests the importance of an integrated approach to characterize adolescents' health and well-being. The approach suggested here may highlight additive synergistic effects of the various components in health and well-being assessment that may not be considered with a late approach and focused only on single factors.

show abstract

“…Sixteen subjects with varying cardiovascular risk factors were included in the study that was conducted within the EU project SEMEOTICONS, aiming to develop innovative technologies to reduce cardiometabolic risk . Subjects were enrolled after advertising for participation among CNR employees between 25 and 60 years of age.…”

Section: Methodsmentioning

confidence: 99%

The relationship between forearm skin speed‐resolved perfusion and oxygen saturation, and finger arterial pulsation amplitudes, as indirect measures of endothelial function

et al. 2018

Self Cite

View full text Add to dashboard Cite

show abstract

Mirror Mirror on the Wall... An Unobtrusive Intelligent Multisensory Mirror for Well-Being Status Self-Assessment and Visualization

Cited by 28 publications

References 53 publications

Adolescent Health: A Framework for Developing an Innovative Personalized Well-Being Index

Adolescent Health: A Framework for Developing an Innovative Personalized Well-Being Index

A new integrated approach for adolescent health and well-being: the AVATAR project

The relationship between forearm skin speed‐resolved perfusion and oxygen saturation, and finger arterial pulsation amplitudes, as indirect measures of endothelial function

Contact Info

Product

Resources

About